diff --git a/db/data/ons/mye_2023_england_regions/manifest.yaml b/db/data/ons/mye_2023_england_regions/manifest.yaml
new file mode 100644
index 0000000..3fa809b
--- /dev/null
+++ b/db/data/ons/mye_2023_england_regions/manifest.yaml
@@ -0,0 +1,13 @@
+source_id: ons
+package_id: ons-mye-2023-england-regions
+dataset: ons_ons-mye-2023-england-regions
+source_page: https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/estimatesofthepopulationforenglandandwales
+table: Mid-2023 population estimates, England and Wales, by single year of age and sex (MYE2), 2023 local
+  authority boundaries
+files:
+  2023:
+    filename: mye23tablesew.xlsx
+    source_url: https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/estimatesofthepopulationforenglandandwales/mid20232023localauthorityboundarieseditionofthisdataset/mye23tablesew.xlsx
+    sha256: 96dcbb73d01c2965a0e8173bdf736f04a16d91dc189c4a52220919792e5e2c94
+    size_bytes: 832569
+    fetched_at: '2026-08-05T15:16:18+00:00'
diff --git a/db/data/ons/mye_2023_england_regions/mye23tablesew.xlsx b/db/data/ons/mye_2023_england_regions/mye23tablesew.xlsx
new file mode 100644
index 0000000..99bcc87
Binary files /dev/null and b/db/data/ons/mye_2023_england_regions/mye23tablesew.xlsx differ
diff --git a/db/data/ons/mye_2023_uk_countries/manifest.yaml b/db/data/ons/mye_2023_uk_countries/manifest.yaml
new file mode 100644
index 0000000..b1504c5
--- /dev/null
+++ b/db/data/ons/mye_2023_uk_countries/manifest.yaml
@@ -0,0 +1,12 @@
+source_id: ons
+package_id: ons-mye-2023-uk-countries
+dataset: ons_ons-mye-2023-uk-countries
+source_page: https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationestimatesforukenglandandwalesscotlandandnorthernireland
+table: Mid-2023 population estimates, UK and constituent countries, by single year of age and sex (MYE2)
+files:
+  2023:
+    filename: mye23tablesuk.xlsx
+    source_url: https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationestimatesforukenglandandwalesscotlandandnorthernireland/mid2023/mye23tablesuk.xlsx
+    sha256: 7ee5724ecf71abc3d811c89174cdddf1bce7f07d3eefc8b69b15ee8371414b16
+    size_bytes: 90741
+    fetched_at: '2026-08-05T15:16:01+00:00'
diff --git a/db/data/ons/mye_2023_uk_countries/mye23tablesuk.xlsx b/db/data/ons/mye_2023_uk_countries/mye23tablesuk.xlsx
new file mode 100644
index 0000000..e22a2e2
Binary files /dev/null and b/db/data/ons/mye_2023_uk_countries/mye23tablesuk.xlsx differ
diff --git a/db/data/ons/mye_2024_uk/manifest.yaml b/db/data/ons/mye_2024_uk/manifest.yaml
new file mode 100644
index 0000000..29fdbd9
--- /dev/null
+++ b/db/data/ons/mye_2024_uk/manifest.yaml
@@ -0,0 +1,12 @@
+source_id: ons
+package_id: ons-mye-2024-uk
+dataset: ons_ons-mye-2024-uk
+source_page: https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationestimatesforukenglandandwalesscotlandandnorthernireland
+table: 'Mid-2024 population estimates, UK: countries and regions by single year of age and sex (MYE2)'
+files:
+  2024:
+    filename: mye24tablesuk.xlsx
+    source_url: https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationestimatesforukenglandandwalesscotlandandnorthernireland/mid2024/mye24tablesuk.xlsx
+    sha256: f78d50e8d77fe5ed9d04667d6875aefcf62b56380af7aceb2e90dce067981526
+    size_bytes: 1062342
+    fetched_at: '2026-08-06T09:26:35+00:00'
diff --git a/db/data/ons/mye_2024_uk/mye24tablesuk.xlsx b/db/data/ons/mye_2024_uk/mye24tablesuk.xlsx
new file mode 100644
index 0000000..0cb4de0
Binary files /dev/null and b/db/data/ons/mye_2024_uk/mye24tablesuk.xlsx differ
diff --git a/db/data/ons/npp_2024_uk/manifest.yaml b/db/data/ons/npp_2024_uk/manifest.yaml
new file mode 100644
index 0000000..913df32
--- /dev/null
+++ b/db/data/ons/npp_2024_uk/manifest.yaml
@@ -0,0 +1,13 @@
+source_id: ons
+package_id: ons-uk-population-projections-2024
+dataset: ons_ons-uk-population-projections-2024
+source_page: https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationprojections/datasets/z1zippedpopulationprojectionsdatafilesuk
+table: 2024-based national population projections, UK principal (uk_ppp), population by single year of
+  age and sex
+files:
+  2024:
+    filename: uk.zip
+    source_url: https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/populationandmigration/populationprojections/datasets/z1zippedpopulationprojectionsdatafilesuk/2024based/uk.zip
+    sha256: dea79703b9caddd560f1958b5a8ca12aa817b2396d244e6a2c775b1af7f48ab1
+    size_bytes: 11356080
+    fetched_at: '2026-08-06T10:14:59+00:00'
diff --git a/db/data/ons/npp_2024_uk/uk.zip b/db/data/ons/npp_2024_uk/uk.zip
new file mode 100644
index 0000000..59381ea
Binary files /dev/null and b/db/data/ons/npp_2024_uk/uk.zip differ
diff --git a/ledger/source_package.py b/ledger/source_package.py
index a8f2849..ffaac09 100644
--- a/ledger/source_package.py
+++ b/ledger/source_package.py
@@ -192,6 +192,10 @@
     "kff-marketplace-effectuated-enrollment": Path(
         "kff/marketplace_effectuated_enrollment"
     ),
+    "ons-mye-2023-uk-countries": Path("ons/mye_2023_uk_countries"),
+    "ons-mye-2023-england-regions": Path("ons/mye_2023_england_regions"),
+    "ons-mye-2024-uk": Path("ons/mye_2024_uk"),
+    "ons-uk-population-projections-2024": Path("ons/npp_2024_uk"),
     "ons-uk-business-firm-targets-2025": Path("ons/uk_business_firm_targets_2025"),
     "ons-uk-business-firm-sector-targets-2025": Path(
         "ons/uk_business_firm_sector_targets_2025"
diff --git a/packages/ons/mye_2023_england_regions/source_package.yaml b/packages/ons/mye_2023_england_regions/source_package.yaml
new file mode 100644
index 0000000..2492912
--- /dev/null
+++ b/packages/ons/mye_2023_england_regions/source_package.yaml
@@ -0,0 +1,21401 @@
+# NOTE: The MYE2 single-year age column headers (0..89) are text-typed digit
+# cells; the guard contract int-coerces digit expectations (_render_value)
+# while guard comparison is raw, so those headers cannot be expressed as
+# expected_column_header today. The age span is pinned by the guarded
+# non-digit endpoints instead: 'All ages' and '90+', plus the sha-pinned
+# artifact. One record set per age keeps single-age facts identity-distinct
+# (age enters fact filters; geography enters via per-row overrides).
+schema_version: ledger.source_package.v1
+package_id: ons-mye-2023-england-regions
+label: 'ONS mid-2023 population estimates: regions of England, by single year of age (MYE2
+  persons)'
+artifact:
+  source_name: ons
+  source_table: Mid-2023 population estimates, England and Wales, by single year of age and
+    sex (MYE2), 2023 local authority boundaries
+  resource_package: db
+  resource_directory: data/ons/mye_2023_england_regions
+  manifest: manifest.yaml
+  vintage: mid_2023
+  extracted_at: '2026-08-05'
+  extraction_method: xlsx whole-workbook used-range cell parse
+  parser: xlsx_used_range
+  artifact_year: 2023
+record_sets:
+- record_set_id: ons.mid2023.mye2_persons.england_regions.all_ages
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.all_ages.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.all_ages
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: D
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+    expected_column_header_row: 8
+    expected_column_header: All ages
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_0
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_0.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_0
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: E
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_1
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_1.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_1
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: F
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_2
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_2.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_2
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: G
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_3
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_3.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_3
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: H
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_4
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_4.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_4
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: I
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_5
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_5.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_5
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: J
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_6
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_6.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_6
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: K
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_7
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_7.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_7
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: L
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_8
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_8.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_8
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: M
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_9
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_9.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_9
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: N
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_10
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_10.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_10
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: O
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_11
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_11.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_11
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: P
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_12
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_12.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_12
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Q
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_13
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_13.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_13
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: R
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_14
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_14.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_14
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: S
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_15
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_15.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_15
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: T
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_16
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_16.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_16
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: U
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_17
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_17.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_17
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: V
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_18
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_18.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_18
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: W
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_19
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_19.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_19
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: X
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_20
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_20.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_20
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Y
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_21
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_21.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_21
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Z
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_22
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_22.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_22
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_23
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_23.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_23
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_24
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_24.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_24
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_25
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_25.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_25
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_26
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_26.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_26
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_27
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_27.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_27
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_28
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_28.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_28
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_29
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_29.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_29
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_30
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_30.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_30
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_31
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_31.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_31
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_32
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_32.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_32
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_33
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_33.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_33
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_34
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_34.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_34
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_35
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_35.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_35
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_36
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_36.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_36
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_37
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_37.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_37
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_38
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_38.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_38
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_39
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_39.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_39
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AR
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_40
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_40.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_40
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AS
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_41
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_41.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_41
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AT
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_42
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_42.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_42
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AU
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_43
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_43.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_43
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AV
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_44
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_44.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_44
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AW
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_45
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_45.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_45
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AX
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_46
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_46.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_46
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AY
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_47
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_47.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_47
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AZ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_48
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_48.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_48
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_49
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_49.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_49
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_50
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_50.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_50
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_51
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_51.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_51
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_52
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_52.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_52
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_53
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_53.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_53
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_54
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_54.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_54
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_55
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_55.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_55
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_56
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_56.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_56
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_57
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_57.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_57
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_58
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_58.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_58
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_59
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_59.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_59
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_60
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_60.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_60
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_61
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_61.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_61
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_62
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_62.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_62
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_63
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_63.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_63
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_64
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_64.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_64
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_65
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_65.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_65
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BR
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_66
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_66.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_66
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BS
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_67
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_67.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_67
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BT
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_68
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_68.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_68
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BU
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_69
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_69.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_69
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BV
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_70
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_70.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_70
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BW
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_71
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_71.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_71
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BX
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_72
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_72.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_72
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BY
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_73
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_73.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_73
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BZ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_74
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_74.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_74
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_75
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_75.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_75
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_76
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_76.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_76
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_77
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_77.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_77
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_78
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_78.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_78
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_79
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_79.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_79
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_80
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_80.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_80
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_81
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_81.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_81
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_82
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_82.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_82
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_83
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_83.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_83
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_84
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_84.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_84
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_85
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_85.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_85
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_86
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_86.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_86
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_87
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_87.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_87
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_88
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_88.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_88
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_89
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_89.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_89
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.england_regions.age_90_plus
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.england_regions.age_90_plus.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.england_regions.age_90_plus
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: E12000001
+  geography_level: region
+  geography_name: North East
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: e12000001
+    label: North East
+    ordinal: 0
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 11
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 1
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 25
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 2
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 64
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 3
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 82
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 4
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 122
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 5
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 157
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 6
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 208
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 7
+    row_number: 242
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 242
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 8
+    row_number: 313
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 313
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+    expected_column_header_row: 8
+    expected_column_header: 90+
diff --git a/packages/ons/mye_2023_uk_countries/source_package.yaml b/packages/ons/mye_2023_uk_countries/source_package.yaml
new file mode 100644
index 0000000..a8339a1
--- /dev/null
+++ b/packages/ons/mye_2023_uk_countries/source_package.yaml
@@ -0,0 +1,10856 @@
+# NOTE: The MYE2 single-year age column headers (0..89) are text-typed digit
+# cells; the guard contract int-coerces digit expectations (_render_value)
+# while guard comparison is raw, so those headers cannot be expressed as
+# expected_column_header today. The age span is pinned by the guarded
+# non-digit endpoints instead: 'All ages' and '90+', plus the sha-pinned
+# artifact. One record set per age keeps single-age facts identity-distinct
+# (age enters fact filters; geography enters via per-row overrides).
+schema_version: ledger.source_package.v1
+package_id: ons-mye-2023-uk-countries
+label: 'ONS mid-2023 population estimates: UK and constituent countries, by single year of
+  age (MYE2 persons)'
+artifact:
+  source_name: ons
+  source_table: Mid-2023 population estimates, UK and constituent countries, by single year
+    of age and sex (MYE2)
+  resource_package: db
+  resource_directory: data/ons/mye_2023_uk_countries
+  manifest: manifest.yaml
+  vintage: mid_2023
+  extracted_at: '2026-08-05'
+  extraction_method: xlsx whole-workbook used-range cell parse
+  parser: xlsx_used_range
+  artifact_year: 2023
+record_sets:
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.all_ages
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.all_ages.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.all_ages
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: D
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+    expected_column_header_row: 8
+    expected_column_header: All ages
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_0
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_0.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_0
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: E
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_1
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_1.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_1
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: F
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_2
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_2.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_2
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: G
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_3
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_3.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_3
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: H
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_4
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_4.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_4
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: I
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_5
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_5.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_5
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: J
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_6
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_6.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_6
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: K
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_7
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_7.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_7
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: L
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_8
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_8.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_8
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: M
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_9
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_9.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_9
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: N
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_10
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_10.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_10
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: O
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_11
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_11.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_11
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: P
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_12
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_12.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_12
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Q
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_13
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_13.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_13
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: R
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_14
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_14.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_14
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: S
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_15
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_15.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_15
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: T
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_16
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_16.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_16
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: U
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_17
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_17.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_17
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: V
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_18
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_18.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_18
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: W
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_19
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_19.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_19
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: X
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_20
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_20.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_20
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Y
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_21
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_21.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_21
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Z
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_22
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_22.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_22
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_23
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_23.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_23
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_24
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_24.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_24
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_25
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_25.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_25
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_26
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_26.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_26
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_27
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_27.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_27
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_28
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_28.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_28
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_29
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_29.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_29
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_30
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_30.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_30
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_31
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_31.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_31
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_32
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_32.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_32
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_33
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_33.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_33
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_34
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_34.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_34
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_35
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_35.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_35
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_36
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_36.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_36
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_37
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_37.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_37
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_38
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_38.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_38
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_39
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_39.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_39
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AR
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_40
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_40.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_40
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AS
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_41
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_41.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_41
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AT
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_42
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_42.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_42
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AU
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_43
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_43.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_43
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AV
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_44
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_44.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_44
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AW
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_45
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_45.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_45
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AX
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_46
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_46.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_46
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AY
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_47
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_47.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_47
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AZ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_48
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_48.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_48
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_49
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_49.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_49
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_50
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_50.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_50
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_51
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_51.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_51
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_52
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_52.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_52
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_53
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_53.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_53
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_54
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_54.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_54
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_55
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_55.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_55
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_56
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_56.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_56
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_57
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_57.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_57
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_58
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_58.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_58
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_59
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_59.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_59
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_60
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_60.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_60
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_61
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_61.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_61
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_62
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_62.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_62
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_63
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_63.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_63
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_64
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_64.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_64
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_65
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_65.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_65
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BR
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_66
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_66.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_66
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BS
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_67
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_67.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_67
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BT
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_68
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_68.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_68
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BU
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_69
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_69.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_69
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BV
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_70
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_70.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_70
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BW
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_71
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_71.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_71
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BX
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_72
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_72.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_72
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BY
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_73
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_73.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_73
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BZ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_74
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_74.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_74
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_75
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_75.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_75
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_76
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_76.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_76
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_77
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_77.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_77
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_78
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_78.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_78
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_79
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_79.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_79
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_80
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_80.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_80
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_81
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_81.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_81
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_82
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_82.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_82
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_83
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_83.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_83
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_84
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_84.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_84
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_85
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_85.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_85
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_86
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_86.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_86
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_87
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_87.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_87
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_88
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_88.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_88
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_89
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_89.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_89
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2023.mye2_persons.uk_countries.age_90_plus
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk_countries.age_90_plus.v1
+  source_record_id_prefix: ons.mid2023.mye2_persons.uk_countries.age_90_plus
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2023
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2023
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 14
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2023
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 15
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+    expected_column_header_row: 8
+    expected_column_header: 90+
diff --git a/packages/ons/mye_2024_uk/source_package.yaml b/packages/ons/mye_2024_uk/source_package.yaml
new file mode 100644
index 0000000..ccb89dc
--- /dev/null
+++ b/packages/ons/mye_2024_uk/source_package.yaml
@@ -0,0 +1,29836 @@
+# NOTE: The MYE2 single-year age column headers (0..89) are text-typed digit
+# cells the guard contract cannot express (render int-coerces digit
+# expectations, guard compare is raw); the age span is pinned by the guarded
+# non-digit endpoints 'All ages' and '90+' plus the sha-pinned artifact.
+# The mid-2024 UK edition publishes the E12 region rows directly, so one
+# package covers UK + countries + regions (the mid-2023 edition needed two).
+schema_version: ledger.source_package.v1
+package_id: ons-mye-2024-uk
+label: 'ONS mid-2024 population estimates: UK, constituent countries and regions of England,
+  by single year of age (MYE2 persons)'
+artifact:
+  source_name: ons
+  source_table: 'Mid-2024 population estimates, UK: countries and regions by single year of
+    age and sex (MYE2)'
+  resource_package: db
+  resource_directory: data/ons/mye_2024_uk
+  manifest: manifest.yaml
+  vintage: mid_2024
+  extracted_at: '2026-08-06'
+  extraction_method: xlsx whole-workbook used-range cell parse
+  parser: xlsx_used_range
+  artifact_year: 2024
+record_sets:
+- record_set_id: ons.mid2024.mye2_persons.uk.all_ages
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.all_ages.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.all_ages
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: total
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: D
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+    expected_column_header_row: 8
+    expected_column_header: All ages
+- record_set_id: ons.mid2024.mye2_persons.uk.age_0
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_0.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_0
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 0
+    constraints:
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: E
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_1
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_1.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_1
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 1
+    constraints:
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: F
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_2
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_2.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_2
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 2
+    constraints:
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: G
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_3
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_3.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_3
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 3
+    constraints:
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: H
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_4
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_4.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_4
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 4
+    constraints:
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: I
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_5
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_5.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_5
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 5
+    constraints:
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: J
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_6
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_6.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_6
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 6
+    constraints:
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: K
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_7
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_7.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_7
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 7
+    constraints:
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: L
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_8
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_8.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_8
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 8
+    constraints:
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: M
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_9
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_9.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_9
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 9
+    constraints:
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: N
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_10
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_10.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_10
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 10
+    constraints:
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: O
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_11
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_11.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_11
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 11
+    constraints:
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: P
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_12
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_12.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_12
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 12
+    constraints:
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Q
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_13
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_13.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_13
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 13
+    constraints:
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: R
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_14
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_14.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_14
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 14
+    constraints:
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: S
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_15
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_15.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_15
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 15
+    constraints:
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: T
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_16
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_16.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_16
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 16
+    constraints:
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: U
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_17
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_17.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_17
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 17
+    constraints:
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: V
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_18
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_18.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_18
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 18
+    constraints:
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: W
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_19
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_19.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_19
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 19
+    constraints:
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: X
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_20
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_20.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_20
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 20
+    constraints:
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Y
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_21
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_21.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_21
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 21
+    constraints:
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: Z
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_22
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_22.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_22
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 22
+    constraints:
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_23
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_23.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_23
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 23
+    constraints:
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_24
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_24.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_24
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 24
+    constraints:
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_25
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_25.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_25
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 25
+    constraints:
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_26
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_26.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_26
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 26
+    constraints:
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_27
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_27.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_27
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 27
+    constraints:
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_28
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_28.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_28
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 28
+    constraints:
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_29
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_29.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_29
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 29
+    constraints:
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_30
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_30.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_30
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 30
+    constraints:
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_31
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_31.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_31
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 31
+    constraints:
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_32
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_32.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_32
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 32
+    constraints:
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_33
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_33.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_33
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 33
+    constraints:
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_34
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_34.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_34
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 34
+    constraints:
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_35
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_35.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_35
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 35
+    constraints:
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_36
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_36.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_36
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 36
+    constraints:
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_37
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_37.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_37
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 37
+    constraints:
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_38
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_38.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_38
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 38
+    constraints:
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_39
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_39.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_39
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 39
+    constraints:
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AR
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_40
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_40.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_40
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 40
+    constraints:
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AS
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_41
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_41.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_41
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 41
+    constraints:
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AT
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_42
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_42.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_42
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 42
+    constraints:
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AU
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_43
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_43.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_43
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 43
+    constraints:
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AV
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_44
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_44.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_44
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 44
+    constraints:
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AW
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_45
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_45.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_45
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 45
+    constraints:
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AX
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_46
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_46.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_46
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 46
+    constraints:
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AY
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_47
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_47.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_47
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 47
+    constraints:
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: AZ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_48
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_48.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_48
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 48
+    constraints:
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_49
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_49.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_49
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 49
+    constraints:
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_50
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_50.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_50
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 50
+    constraints:
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_51
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_51.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_51
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 51
+    constraints:
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_52
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_52.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_52
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 52
+    constraints:
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_53
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_53.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_53
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 53
+    constraints:
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_54
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_54.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_54
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 54
+    constraints:
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_55
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_55.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_55
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 55
+    constraints:
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_56
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_56.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_56
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 56
+    constraints:
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_57
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_57.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_57
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 57
+    constraints:
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_58
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_58.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_58
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 58
+    constraints:
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_59
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_59.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_59
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 59
+    constraints:
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_60
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_60.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_60
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 60
+    constraints:
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_61
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_61.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_61
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 61
+    constraints:
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_62
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_62.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_62
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 62
+    constraints:
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_63
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_63.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_63
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 63
+    constraints:
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_64
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_64.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_64
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 64
+    constraints:
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_65
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_65.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_65
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 65
+    constraints:
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BR
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_66
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_66.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_66
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 66
+    constraints:
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BS
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_67
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_67.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_67
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 67
+    constraints:
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BT
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_68
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_68.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_68
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 68
+    constraints:
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BU
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_69
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_69.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_69
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 69
+    constraints:
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BV
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_70
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_70.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_70
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 70
+    constraints:
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BW
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_71
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_71.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_71
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 71
+    constraints:
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BX
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_72
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_72.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_72
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 72
+    constraints:
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BY
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_73
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_73.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_73
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 73
+    constraints:
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: BZ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_74
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_74.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_74
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 74
+    constraints:
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CA
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_75
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_75.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_75
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 75
+    constraints:
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CB
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_76
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_76.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_76
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 76
+    constraints:
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CC
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_77
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_77.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_77
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 77
+    constraints:
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CD
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_78
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_78.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_78
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 78
+    constraints:
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CE
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_79
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_79.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_79
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 79
+    constraints:
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CF
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_80
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_80.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_80
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 80
+    constraints:
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CG
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_81
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_81.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_81
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 81
+    constraints:
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CH
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_82
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_82.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_82
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 82
+    constraints:
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CI
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_83
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_83.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_83
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 83
+    constraints:
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CJ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_84
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_84.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_84
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 84
+    constraints:
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CK
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_85
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_85.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_85
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 85
+    constraints:
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CL
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_86
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_86.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_86
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 86
+    constraints:
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CM
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_87
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_87.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_87
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 87
+    constraints:
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CN
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_88
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_88.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_88
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 88
+    constraints:
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CO
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_89
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_89.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_89
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 89
+    constraints:
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CP
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.mid2024.mye2_persons.uk.age_90_plus
+  provenance_class: census
+  record_set_spec_id: ons.mye2_persons.uk.age_90_plus.v1
+  source_record_id_prefix: ons.mid2024.mye2_persons.uk.age_90_plus
+  sheet_name: MYE2 - Persons
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: age
+  rows:
+  - value_id: uk
+    label: United Kingdom
+    ordinal: 0
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: K02000001
+    geography_id: K02000001
+    geography_level: country
+    geography_name: United Kingdom
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 9
+      expected_value: UNITED KINGDOM
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: wales
+    label: Wales
+    ordinal: 1
+    row_number: 345
+    expected_row_header_column: A
+    expected_row_header: W92000004
+    geography_id: W92000004
+    geography_level: country
+    geography_name: Wales
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 345
+      expected_value: WALES
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: scotland
+    label: Scotland
+    ordinal: 2
+    row_number: 368
+    expected_row_header_column: A
+    expected_row_header: S92000003
+    geography_id: S92000003
+    geography_level: country
+    geography_name: Scotland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 368
+      expected_value: SCOTLAND
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: northern_ireland
+    label: Northern Ireland
+    ordinal: 3
+    row_number: 401
+    expected_row_header_column: A
+    expected_row_header: N92000002
+    geography_id: N92000002
+    geography_level: country
+    geography_name: Northern Ireland
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 401
+      expected_value: NORTHERN IRELAND
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000001
+    label: North East
+    ordinal: 4
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: E12000001
+    geography_id: E12000001
+    geography_level: region
+    geography_name: North East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 13
+      expected_value: NORTH EAST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000002
+    label: North West
+    ordinal: 5
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: E12000002
+    geography_id: E12000002
+    geography_level: region
+    geography_name: North West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 27
+      expected_value: NORTH WEST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000003
+    label: Yorkshire And The Humber
+    ordinal: 6
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: E12000003
+    geography_id: E12000003
+    geography_level: region
+    geography_name: Yorkshire And The Humber
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 66
+      expected_value: YORKSHIRE AND THE HUMBER
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000004
+    label: East Midlands
+    ordinal: 7
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: E12000004
+    geography_id: E12000004
+    geography_level: region
+    geography_name: East Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 84
+      expected_value: EAST MIDLANDS
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000005
+    label: West Midlands
+    ordinal: 8
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: E12000005
+    geography_id: E12000005
+    geography_level: region
+    geography_name: West Midlands
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 124
+      expected_value: WEST MIDLANDS
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000006
+    label: East
+    ordinal: 9
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: E12000006
+    geography_id: E12000006
+    geography_level: region
+    geography_name: East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 159
+      expected_value: EAST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000007
+    label: London
+    ordinal: 10
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: E12000007
+    geography_id: E12000007
+    geography_level: region
+    geography_name: London
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 210
+      expected_value: LONDON
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000008
+    label: South East
+    ordinal: 11
+    row_number: 244
+    expected_row_header_column: A
+    expected_row_header: E12000008
+    geography_id: E12000008
+    geography_level: region
+    geography_name: South East
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 244
+      expected_value: SOUTH EAST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  - value_id: e12000009
+    label: South West
+    ordinal: 12
+    row_number: 315
+    expected_row_header_column: A
+    expected_row_header: E12000009
+    geography_id: E12000009
+    geography_level: region
+    geography_name: South West
+    geography_vintage: gss_2024
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 315
+      expected_value: SOUTH WEST
+      label: geography name
+    filters:
+      age: 90_plus
+    constraints:
+    - variable: age
+      operator: ==
+      value: 90_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Resident population
+    ordinal: 0
+    column: CQ
+    source_column_id: population
+    concept: ons.mid_year_population_estimate
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+    expected_column_header_row: 8
+    expected_column_header: 90+
diff --git a/packages/ons/npp_2024_uk/source_package.yaml b/packages/ons/npp_2024_uk/source_package.yaml
new file mode 100644
index 0000000..378f991
--- /dev/null
+++ b/packages/ons/npp_2024_uk/source_package.yaml
@@ -0,0 +1,24703 @@
+# NOTE: assertion source_projection (2024-based NPP principal). Tranche 1 ports
+# projection years 2024-2029 (policyengine-uk-data's consumption horizon);
+# later years land via the vintage backfill lane. The year column headers are
+# text-typed digit cells the guard contract cannot express (see the MYE
+# packages' note); column identity is pinned by the sha-pinned artifact and
+# the guarded Sex row headers and the non-digit '110 and over' block anchors
+# (digit age labels hit the same coercion gap and carry no guard cell).
+schema_version: ledger.source_package.v1
+package_id: ons-uk-population-projections-2024
+label: ONS 2024-based national population projections (principal), UK, by single year of age
+  and sex
+artifact:
+  source_name: ons
+  source_table: 2024-based national population projections, UK principal (uk_ppp), population
+    by single year of age and sex
+  resource_package: db
+  resource_directory: data/ons/npp_2024_uk
+  manifest: manifest.yaml
+  vintage: npp_2024_based
+  extracted_at: '2026-08-06'
+  extraction_method: ZIP archive XLSX member whole-workbook used-range cell parse
+  parser: zip_xlsx_used_range
+  archive_member: uk_ppp_machine_readable.xlsx
+  artifact_year: 2024
+record_sets:
+- record_set_id: ons.npp2024.uk_ppp.population.y2024
+  provenance_class: model_output
+  assertion: source_projection
+  record_set_spec_id: ons.npp2024.uk_ppp.population.y2024.v1
+  source_record_id_prefix: ons.npp2024.uk_ppp.population.y2024
+  sheet_name: Population
+  period_type: calendar_year
+  period: 2024
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: ons.npp_age_sex
+  rows:
+  - value_id: female_0
+    label: Females aged 0
+    ordinal: 0
+    row_number: 2
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: female_1
+    label: Females aged 1
+    ordinal: 1
+    row_number: 3
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: female_2
+    label: Females aged 2
+    ordinal: 2
+    row_number: 4
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: female_3
+    label: Females aged 3
+    ordinal: 3
+    row_number: 5
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: female_4
+    label: Females aged 4
+    ordinal: 4
+    row_number: 6
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: female_5
+    label: Females aged 5
+    ordinal: 5
+    row_number: 7
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: female_6
+    label: Females aged 6
+    ordinal: 6
+    row_number: 8
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: female_7
+    label: Females aged 7
+    ordinal: 7
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: female_8
+    label: Females aged 8
+    ordinal: 8
+    row_number: 10
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: female_9
+    label: Females aged 9
+    ordinal: 9
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: female_10
+    label: Females aged 10
+    ordinal: 10
+    row_number: 12
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: female_11
+    label: Females aged 11
+    ordinal: 11
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: female_12
+    label: Females aged 12
+    ordinal: 12
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: female_13
+    label: Females aged 13
+    ordinal: 13
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: female_14
+    label: Females aged 14
+    ordinal: 14
+    row_number: 16
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: female_15
+    label: Females aged 15
+    ordinal: 15
+    row_number: 17
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: female_16
+    label: Females aged 16
+    ordinal: 16
+    row_number: 18
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: female_17
+    label: Females aged 17
+    ordinal: 17
+    row_number: 19
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: female_18
+    label: Females aged 18
+    ordinal: 18
+    row_number: 20
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: female_19
+    label: Females aged 19
+    ordinal: 19
+    row_number: 21
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: female_20
+    label: Females aged 20
+    ordinal: 20
+    row_number: 22
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: female_21
+    label: Females aged 21
+    ordinal: 21
+    row_number: 23
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: female_22
+    label: Females aged 22
+    ordinal: 22
+    row_number: 24
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: female_23
+    label: Females aged 23
+    ordinal: 23
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: female_24
+    label: Females aged 24
+    ordinal: 24
+    row_number: 26
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: female_25
+    label: Females aged 25
+    ordinal: 25
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: female_26
+    label: Females aged 26
+    ordinal: 26
+    row_number: 28
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: female_27
+    label: Females aged 27
+    ordinal: 27
+    row_number: 29
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: female_28
+    label: Females aged 28
+    ordinal: 28
+    row_number: 30
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: female_29
+    label: Females aged 29
+    ordinal: 29
+    row_number: 31
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: female_30
+    label: Females aged 30
+    ordinal: 30
+    row_number: 32
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: female_31
+    label: Females aged 31
+    ordinal: 31
+    row_number: 33
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: female_32
+    label: Females aged 32
+    ordinal: 32
+    row_number: 34
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: female_33
+    label: Females aged 33
+    ordinal: 33
+    row_number: 35
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: female_34
+    label: Females aged 34
+    ordinal: 34
+    row_number: 36
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: female_35
+    label: Females aged 35
+    ordinal: 35
+    row_number: 37
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: female_36
+    label: Females aged 36
+    ordinal: 36
+    row_number: 38
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: female_37
+    label: Females aged 37
+    ordinal: 37
+    row_number: 39
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: female_38
+    label: Females aged 38
+    ordinal: 38
+    row_number: 40
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: female_39
+    label: Females aged 39
+    ordinal: 39
+    row_number: 41
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: female_40
+    label: Females aged 40
+    ordinal: 40
+    row_number: 42
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: female_41
+    label: Females aged 41
+    ordinal: 41
+    row_number: 43
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: female_42
+    label: Females aged 42
+    ordinal: 42
+    row_number: 44
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: female_43
+    label: Females aged 43
+    ordinal: 43
+    row_number: 45
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: female_44
+    label: Females aged 44
+    ordinal: 44
+    row_number: 46
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: female_45
+    label: Females aged 45
+    ordinal: 45
+    row_number: 47
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: female_46
+    label: Females aged 46
+    ordinal: 46
+    row_number: 48
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: female_47
+    label: Females aged 47
+    ordinal: 47
+    row_number: 49
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: female_48
+    label: Females aged 48
+    ordinal: 48
+    row_number: 50
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: female_49
+    label: Females aged 49
+    ordinal: 49
+    row_number: 51
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: female_50
+    label: Females aged 50
+    ordinal: 50
+    row_number: 52
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: female_51
+    label: Females aged 51
+    ordinal: 51
+    row_number: 53
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: female_52
+    label: Females aged 52
+    ordinal: 52
+    row_number: 54
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: female_53
+    label: Females aged 53
+    ordinal: 53
+    row_number: 55
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: female_54
+    label: Females aged 54
+    ordinal: 54
+    row_number: 56
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: female_55
+    label: Females aged 55
+    ordinal: 55
+    row_number: 57
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: female_56
+    label: Females aged 56
+    ordinal: 56
+    row_number: 58
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: female_57
+    label: Females aged 57
+    ordinal: 57
+    row_number: 59
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: female_58
+    label: Females aged 58
+    ordinal: 58
+    row_number: 60
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: female_59
+    label: Females aged 59
+    ordinal: 59
+    row_number: 61
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: female_60
+    label: Females aged 60
+    ordinal: 60
+    row_number: 62
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: female_61
+    label: Females aged 61
+    ordinal: 61
+    row_number: 63
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: female_62
+    label: Females aged 62
+    ordinal: 62
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: female_63
+    label: Females aged 63
+    ordinal: 63
+    row_number: 65
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: female_64
+    label: Females aged 64
+    ordinal: 64
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: female_65
+    label: Females aged 65
+    ordinal: 65
+    row_number: 67
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: female_66
+    label: Females aged 66
+    ordinal: 66
+    row_number: 68
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: female_67
+    label: Females aged 67
+    ordinal: 67
+    row_number: 69
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: female_68
+    label: Females aged 68
+    ordinal: 68
+    row_number: 70
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: female_69
+    label: Females aged 69
+    ordinal: 69
+    row_number: 71
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: female_70
+    label: Females aged 70
+    ordinal: 70
+    row_number: 72
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: female_71
+    label: Females aged 71
+    ordinal: 71
+    row_number: 73
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: female_72
+    label: Females aged 72
+    ordinal: 72
+    row_number: 74
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: female_73
+    label: Females aged 73
+    ordinal: 73
+    row_number: 75
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: female_74
+    label: Females aged 74
+    ordinal: 74
+    row_number: 76
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: female_75
+    label: Females aged 75
+    ordinal: 75
+    row_number: 77
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: female_76
+    label: Females aged 76
+    ordinal: 76
+    row_number: 78
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: female_77
+    label: Females aged 77
+    ordinal: 77
+    row_number: 79
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: female_78
+    label: Females aged 78
+    ordinal: 78
+    row_number: 80
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: female_79
+    label: Females aged 79
+    ordinal: 79
+    row_number: 81
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: female_80
+    label: Females aged 80
+    ordinal: 80
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: female_81
+    label: Females aged 81
+    ordinal: 81
+    row_number: 83
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: female_82
+    label: Females aged 82
+    ordinal: 82
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: female_83
+    label: Females aged 83
+    ordinal: 83
+    row_number: 85
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: female_84
+    label: Females aged 84
+    ordinal: 84
+    row_number: 86
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: female_85
+    label: Females aged 85
+    ordinal: 85
+    row_number: 87
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: female_86
+    label: Females aged 86
+    ordinal: 86
+    row_number: 88
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: female_87
+    label: Females aged 87
+    ordinal: 87
+    row_number: 89
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: female_88
+    label: Females aged 88
+    ordinal: 88
+    row_number: 90
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: female_89
+    label: Females aged 89
+    ordinal: 89
+    row_number: 91
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: female_90
+    label: Females aged 90
+    ordinal: 90
+    row_number: 92
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: female_91
+    label: Females aged 91
+    ordinal: 91
+    row_number: 93
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: female_92
+    label: Females aged 92
+    ordinal: 92
+    row_number: 94
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: female_93
+    label: Females aged 93
+    ordinal: 93
+    row_number: 95
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: female_94
+    label: Females aged 94
+    ordinal: 94
+    row_number: 96
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: female_95
+    label: Females aged 95
+    ordinal: 95
+    row_number: 97
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: female_96
+    label: Females aged 96
+    ordinal: 96
+    row_number: 98
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: female_97
+    label: Females aged 97
+    ordinal: 97
+    row_number: 99
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: female_98
+    label: Females aged 98
+    ordinal: 98
+    row_number: 100
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: female_99
+    label: Females aged 99
+    ordinal: 99
+    row_number: 101
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: female_100
+    label: Females aged 100
+    ordinal: 100
+    row_number: 102
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: female_101
+    label: Females aged 101
+    ordinal: 101
+    row_number: 103
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: female_102
+    label: Females aged 102
+    ordinal: 102
+    row_number: 104
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: female_103
+    label: Females aged 103
+    ordinal: 103
+    row_number: 105
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: female_104
+    label: Females aged 104
+    ordinal: 104
+    row_number: 106
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: female_105 - 109
+    label: Females aged 105 - 109
+    ordinal: 105
+    row_number: 107
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 107
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: female
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: female_110_plus
+    label: Females aged 110 and over
+    ordinal: 106
+    row_number: 108
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 108
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: female
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  - value_id: male_0
+    label: Males aged 0
+    ordinal: 107
+    row_number: 109
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: male_1
+    label: Males aged 1
+    ordinal: 108
+    row_number: 110
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: male_2
+    label: Males aged 2
+    ordinal: 109
+    row_number: 111
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: male_3
+    label: Males aged 3
+    ordinal: 110
+    row_number: 112
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: male_4
+    label: Males aged 4
+    ordinal: 111
+    row_number: 113
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: male_5
+    label: Males aged 5
+    ordinal: 112
+    row_number: 114
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: male_6
+    label: Males aged 6
+    ordinal: 113
+    row_number: 115
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: male_7
+    label: Males aged 7
+    ordinal: 114
+    row_number: 116
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: male_8
+    label: Males aged 8
+    ordinal: 115
+    row_number: 117
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: male_9
+    label: Males aged 9
+    ordinal: 116
+    row_number: 118
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: male_10
+    label: Males aged 10
+    ordinal: 117
+    row_number: 119
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: male_11
+    label: Males aged 11
+    ordinal: 118
+    row_number: 120
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: male_12
+    label: Males aged 12
+    ordinal: 119
+    row_number: 121
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: male_13
+    label: Males aged 13
+    ordinal: 120
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: male_14
+    label: Males aged 14
+    ordinal: 121
+    row_number: 123
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: male_15
+    label: Males aged 15
+    ordinal: 122
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: male_16
+    label: Males aged 16
+    ordinal: 123
+    row_number: 125
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: male_17
+    label: Males aged 17
+    ordinal: 124
+    row_number: 126
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: male_18
+    label: Males aged 18
+    ordinal: 125
+    row_number: 127
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: male_19
+    label: Males aged 19
+    ordinal: 126
+    row_number: 128
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: male_20
+    label: Males aged 20
+    ordinal: 127
+    row_number: 129
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: male_21
+    label: Males aged 21
+    ordinal: 128
+    row_number: 130
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: male_22
+    label: Males aged 22
+    ordinal: 129
+    row_number: 131
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: male_23
+    label: Males aged 23
+    ordinal: 130
+    row_number: 132
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: male_24
+    label: Males aged 24
+    ordinal: 131
+    row_number: 133
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: male_25
+    label: Males aged 25
+    ordinal: 132
+    row_number: 134
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: male_26
+    label: Males aged 26
+    ordinal: 133
+    row_number: 135
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: male_27
+    label: Males aged 27
+    ordinal: 134
+    row_number: 136
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: male_28
+    label: Males aged 28
+    ordinal: 135
+    row_number: 137
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: male_29
+    label: Males aged 29
+    ordinal: 136
+    row_number: 138
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: male_30
+    label: Males aged 30
+    ordinal: 137
+    row_number: 139
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: male_31
+    label: Males aged 31
+    ordinal: 138
+    row_number: 140
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: male_32
+    label: Males aged 32
+    ordinal: 139
+    row_number: 141
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: male_33
+    label: Males aged 33
+    ordinal: 140
+    row_number: 142
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: male_34
+    label: Males aged 34
+    ordinal: 141
+    row_number: 143
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: male_35
+    label: Males aged 35
+    ordinal: 142
+    row_number: 144
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: male_36
+    label: Males aged 36
+    ordinal: 143
+    row_number: 145
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: male_37
+    label: Males aged 37
+    ordinal: 144
+    row_number: 146
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: male_38
+    label: Males aged 38
+    ordinal: 145
+    row_number: 147
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: male_39
+    label: Males aged 39
+    ordinal: 146
+    row_number: 148
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: male_40
+    label: Males aged 40
+    ordinal: 147
+    row_number: 149
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: male_41
+    label: Males aged 41
+    ordinal: 148
+    row_number: 150
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: male_42
+    label: Males aged 42
+    ordinal: 149
+    row_number: 151
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: male_43
+    label: Males aged 43
+    ordinal: 150
+    row_number: 152
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: male_44
+    label: Males aged 44
+    ordinal: 151
+    row_number: 153
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: male_45
+    label: Males aged 45
+    ordinal: 152
+    row_number: 154
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: male_46
+    label: Males aged 46
+    ordinal: 153
+    row_number: 155
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: male_47
+    label: Males aged 47
+    ordinal: 154
+    row_number: 156
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: male_48
+    label: Males aged 48
+    ordinal: 155
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: male_49
+    label: Males aged 49
+    ordinal: 156
+    row_number: 158
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: male_50
+    label: Males aged 50
+    ordinal: 157
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: male_51
+    label: Males aged 51
+    ordinal: 158
+    row_number: 160
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: male_52
+    label: Males aged 52
+    ordinal: 159
+    row_number: 161
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: male_53
+    label: Males aged 53
+    ordinal: 160
+    row_number: 162
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: male_54
+    label: Males aged 54
+    ordinal: 161
+    row_number: 163
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: male_55
+    label: Males aged 55
+    ordinal: 162
+    row_number: 164
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: male_56
+    label: Males aged 56
+    ordinal: 163
+    row_number: 165
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: male_57
+    label: Males aged 57
+    ordinal: 164
+    row_number: 166
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: male_58
+    label: Males aged 58
+    ordinal: 165
+    row_number: 167
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: male_59
+    label: Males aged 59
+    ordinal: 166
+    row_number: 168
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: male_60
+    label: Males aged 60
+    ordinal: 167
+    row_number: 169
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: male_61
+    label: Males aged 61
+    ordinal: 168
+    row_number: 170
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: male_62
+    label: Males aged 62
+    ordinal: 169
+    row_number: 171
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: male_63
+    label: Males aged 63
+    ordinal: 170
+    row_number: 172
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: male_64
+    label: Males aged 64
+    ordinal: 171
+    row_number: 173
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: male_65
+    label: Males aged 65
+    ordinal: 172
+    row_number: 174
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: male_66
+    label: Males aged 66
+    ordinal: 173
+    row_number: 175
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: male_67
+    label: Males aged 67
+    ordinal: 174
+    row_number: 176
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: male_68
+    label: Males aged 68
+    ordinal: 175
+    row_number: 177
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: male_69
+    label: Males aged 69
+    ordinal: 176
+    row_number: 178
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: male_70
+    label: Males aged 70
+    ordinal: 177
+    row_number: 179
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: male_71
+    label: Males aged 71
+    ordinal: 178
+    row_number: 180
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: male_72
+    label: Males aged 72
+    ordinal: 179
+    row_number: 181
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: male_73
+    label: Males aged 73
+    ordinal: 180
+    row_number: 182
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: male_74
+    label: Males aged 74
+    ordinal: 181
+    row_number: 183
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: male_75
+    label: Males aged 75
+    ordinal: 182
+    row_number: 184
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: male_76
+    label: Males aged 76
+    ordinal: 183
+    row_number: 185
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: male_77
+    label: Males aged 77
+    ordinal: 184
+    row_number: 186
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: male_78
+    label: Males aged 78
+    ordinal: 185
+    row_number: 187
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: male_79
+    label: Males aged 79
+    ordinal: 186
+    row_number: 188
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: male_80
+    label: Males aged 80
+    ordinal: 187
+    row_number: 189
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: male_81
+    label: Males aged 81
+    ordinal: 188
+    row_number: 190
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: male_82
+    label: Males aged 82
+    ordinal: 189
+    row_number: 191
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: male_83
+    label: Males aged 83
+    ordinal: 190
+    row_number: 192
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: male_84
+    label: Males aged 84
+    ordinal: 191
+    row_number: 193
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: male_85
+    label: Males aged 85
+    ordinal: 192
+    row_number: 194
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: male_86
+    label: Males aged 86
+    ordinal: 193
+    row_number: 195
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: male_87
+    label: Males aged 87
+    ordinal: 194
+    row_number: 196
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: male_88
+    label: Males aged 88
+    ordinal: 195
+    row_number: 197
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: male_89
+    label: Males aged 89
+    ordinal: 196
+    row_number: 198
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: male_90
+    label: Males aged 90
+    ordinal: 197
+    row_number: 199
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: male_91
+    label: Males aged 91
+    ordinal: 198
+    row_number: 200
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: male_92
+    label: Males aged 92
+    ordinal: 199
+    row_number: 201
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: male_93
+    label: Males aged 93
+    ordinal: 200
+    row_number: 202
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: male_94
+    label: Males aged 94
+    ordinal: 201
+    row_number: 203
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: male_95
+    label: Males aged 95
+    ordinal: 202
+    row_number: 204
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: male_96
+    label: Males aged 96
+    ordinal: 203
+    row_number: 205
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: male_97
+    label: Males aged 97
+    ordinal: 204
+    row_number: 206
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: male_98
+    label: Males aged 98
+    ordinal: 205
+    row_number: 207
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: male_99
+    label: Males aged 99
+    ordinal: 206
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: male_100
+    label: Males aged 100
+    ordinal: 207
+    row_number: 209
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: male_101
+    label: Males aged 101
+    ordinal: 208
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: male_102
+    label: Males aged 102
+    ordinal: 209
+    row_number: 211
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: male_103
+    label: Males aged 103
+    ordinal: 210
+    row_number: 212
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: male_104
+    label: Males aged 104
+    ordinal: 211
+    row_number: 213
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: male_105 - 109
+    label: Males aged 105 - 109
+    ordinal: 212
+    row_number: 214
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 214
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: male
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: male_110_plus
+    label: Males aged 110 and over
+    ordinal: 213
+    row_number: 215
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 215
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: male
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Projected resident population, 2024
+    ordinal: 0
+    column: C
+    source_column_id: population
+    concept: ons.projected_population_principal
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.npp2024.uk_ppp.population.y2025
+  provenance_class: model_output
+  assertion: source_projection
+  record_set_spec_id: ons.npp2024.uk_ppp.population.y2025.v1
+  source_record_id_prefix: ons.npp2024.uk_ppp.population.y2025
+  sheet_name: Population
+  period_type: calendar_year
+  period: 2025
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: ons.npp_age_sex
+  rows:
+  - value_id: female_0
+    label: Females aged 0
+    ordinal: 0
+    row_number: 2
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: female_1
+    label: Females aged 1
+    ordinal: 1
+    row_number: 3
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: female_2
+    label: Females aged 2
+    ordinal: 2
+    row_number: 4
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: female_3
+    label: Females aged 3
+    ordinal: 3
+    row_number: 5
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: female_4
+    label: Females aged 4
+    ordinal: 4
+    row_number: 6
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: female_5
+    label: Females aged 5
+    ordinal: 5
+    row_number: 7
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: female_6
+    label: Females aged 6
+    ordinal: 6
+    row_number: 8
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: female_7
+    label: Females aged 7
+    ordinal: 7
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: female_8
+    label: Females aged 8
+    ordinal: 8
+    row_number: 10
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: female_9
+    label: Females aged 9
+    ordinal: 9
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: female_10
+    label: Females aged 10
+    ordinal: 10
+    row_number: 12
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: female_11
+    label: Females aged 11
+    ordinal: 11
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: female_12
+    label: Females aged 12
+    ordinal: 12
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: female_13
+    label: Females aged 13
+    ordinal: 13
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: female_14
+    label: Females aged 14
+    ordinal: 14
+    row_number: 16
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: female_15
+    label: Females aged 15
+    ordinal: 15
+    row_number: 17
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: female_16
+    label: Females aged 16
+    ordinal: 16
+    row_number: 18
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: female_17
+    label: Females aged 17
+    ordinal: 17
+    row_number: 19
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: female_18
+    label: Females aged 18
+    ordinal: 18
+    row_number: 20
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: female_19
+    label: Females aged 19
+    ordinal: 19
+    row_number: 21
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: female_20
+    label: Females aged 20
+    ordinal: 20
+    row_number: 22
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: female_21
+    label: Females aged 21
+    ordinal: 21
+    row_number: 23
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: female_22
+    label: Females aged 22
+    ordinal: 22
+    row_number: 24
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: female_23
+    label: Females aged 23
+    ordinal: 23
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: female_24
+    label: Females aged 24
+    ordinal: 24
+    row_number: 26
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: female_25
+    label: Females aged 25
+    ordinal: 25
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: female_26
+    label: Females aged 26
+    ordinal: 26
+    row_number: 28
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: female_27
+    label: Females aged 27
+    ordinal: 27
+    row_number: 29
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: female_28
+    label: Females aged 28
+    ordinal: 28
+    row_number: 30
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: female_29
+    label: Females aged 29
+    ordinal: 29
+    row_number: 31
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: female_30
+    label: Females aged 30
+    ordinal: 30
+    row_number: 32
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: female_31
+    label: Females aged 31
+    ordinal: 31
+    row_number: 33
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: female_32
+    label: Females aged 32
+    ordinal: 32
+    row_number: 34
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: female_33
+    label: Females aged 33
+    ordinal: 33
+    row_number: 35
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: female_34
+    label: Females aged 34
+    ordinal: 34
+    row_number: 36
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: female_35
+    label: Females aged 35
+    ordinal: 35
+    row_number: 37
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: female_36
+    label: Females aged 36
+    ordinal: 36
+    row_number: 38
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: female_37
+    label: Females aged 37
+    ordinal: 37
+    row_number: 39
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: female_38
+    label: Females aged 38
+    ordinal: 38
+    row_number: 40
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: female_39
+    label: Females aged 39
+    ordinal: 39
+    row_number: 41
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: female_40
+    label: Females aged 40
+    ordinal: 40
+    row_number: 42
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: female_41
+    label: Females aged 41
+    ordinal: 41
+    row_number: 43
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: female_42
+    label: Females aged 42
+    ordinal: 42
+    row_number: 44
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: female_43
+    label: Females aged 43
+    ordinal: 43
+    row_number: 45
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: female_44
+    label: Females aged 44
+    ordinal: 44
+    row_number: 46
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: female_45
+    label: Females aged 45
+    ordinal: 45
+    row_number: 47
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: female_46
+    label: Females aged 46
+    ordinal: 46
+    row_number: 48
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: female_47
+    label: Females aged 47
+    ordinal: 47
+    row_number: 49
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: female_48
+    label: Females aged 48
+    ordinal: 48
+    row_number: 50
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: female_49
+    label: Females aged 49
+    ordinal: 49
+    row_number: 51
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: female_50
+    label: Females aged 50
+    ordinal: 50
+    row_number: 52
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: female_51
+    label: Females aged 51
+    ordinal: 51
+    row_number: 53
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: female_52
+    label: Females aged 52
+    ordinal: 52
+    row_number: 54
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: female_53
+    label: Females aged 53
+    ordinal: 53
+    row_number: 55
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: female_54
+    label: Females aged 54
+    ordinal: 54
+    row_number: 56
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: female_55
+    label: Females aged 55
+    ordinal: 55
+    row_number: 57
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: female_56
+    label: Females aged 56
+    ordinal: 56
+    row_number: 58
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: female_57
+    label: Females aged 57
+    ordinal: 57
+    row_number: 59
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: female_58
+    label: Females aged 58
+    ordinal: 58
+    row_number: 60
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: female_59
+    label: Females aged 59
+    ordinal: 59
+    row_number: 61
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: female_60
+    label: Females aged 60
+    ordinal: 60
+    row_number: 62
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: female_61
+    label: Females aged 61
+    ordinal: 61
+    row_number: 63
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: female_62
+    label: Females aged 62
+    ordinal: 62
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: female_63
+    label: Females aged 63
+    ordinal: 63
+    row_number: 65
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: female_64
+    label: Females aged 64
+    ordinal: 64
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: female_65
+    label: Females aged 65
+    ordinal: 65
+    row_number: 67
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: female_66
+    label: Females aged 66
+    ordinal: 66
+    row_number: 68
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: female_67
+    label: Females aged 67
+    ordinal: 67
+    row_number: 69
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: female_68
+    label: Females aged 68
+    ordinal: 68
+    row_number: 70
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: female_69
+    label: Females aged 69
+    ordinal: 69
+    row_number: 71
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: female_70
+    label: Females aged 70
+    ordinal: 70
+    row_number: 72
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: female_71
+    label: Females aged 71
+    ordinal: 71
+    row_number: 73
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: female_72
+    label: Females aged 72
+    ordinal: 72
+    row_number: 74
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: female_73
+    label: Females aged 73
+    ordinal: 73
+    row_number: 75
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: female_74
+    label: Females aged 74
+    ordinal: 74
+    row_number: 76
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: female_75
+    label: Females aged 75
+    ordinal: 75
+    row_number: 77
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: female_76
+    label: Females aged 76
+    ordinal: 76
+    row_number: 78
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: female_77
+    label: Females aged 77
+    ordinal: 77
+    row_number: 79
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: female_78
+    label: Females aged 78
+    ordinal: 78
+    row_number: 80
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: female_79
+    label: Females aged 79
+    ordinal: 79
+    row_number: 81
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: female_80
+    label: Females aged 80
+    ordinal: 80
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: female_81
+    label: Females aged 81
+    ordinal: 81
+    row_number: 83
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: female_82
+    label: Females aged 82
+    ordinal: 82
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: female_83
+    label: Females aged 83
+    ordinal: 83
+    row_number: 85
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: female_84
+    label: Females aged 84
+    ordinal: 84
+    row_number: 86
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: female_85
+    label: Females aged 85
+    ordinal: 85
+    row_number: 87
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: female_86
+    label: Females aged 86
+    ordinal: 86
+    row_number: 88
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: female_87
+    label: Females aged 87
+    ordinal: 87
+    row_number: 89
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: female_88
+    label: Females aged 88
+    ordinal: 88
+    row_number: 90
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: female_89
+    label: Females aged 89
+    ordinal: 89
+    row_number: 91
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: female_90
+    label: Females aged 90
+    ordinal: 90
+    row_number: 92
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: female_91
+    label: Females aged 91
+    ordinal: 91
+    row_number: 93
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: female_92
+    label: Females aged 92
+    ordinal: 92
+    row_number: 94
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: female_93
+    label: Females aged 93
+    ordinal: 93
+    row_number: 95
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: female_94
+    label: Females aged 94
+    ordinal: 94
+    row_number: 96
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: female_95
+    label: Females aged 95
+    ordinal: 95
+    row_number: 97
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: female_96
+    label: Females aged 96
+    ordinal: 96
+    row_number: 98
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: female_97
+    label: Females aged 97
+    ordinal: 97
+    row_number: 99
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: female_98
+    label: Females aged 98
+    ordinal: 98
+    row_number: 100
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: female_99
+    label: Females aged 99
+    ordinal: 99
+    row_number: 101
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: female_100
+    label: Females aged 100
+    ordinal: 100
+    row_number: 102
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: female_101
+    label: Females aged 101
+    ordinal: 101
+    row_number: 103
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: female_102
+    label: Females aged 102
+    ordinal: 102
+    row_number: 104
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: female_103
+    label: Females aged 103
+    ordinal: 103
+    row_number: 105
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: female_104
+    label: Females aged 104
+    ordinal: 104
+    row_number: 106
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: female_105 - 109
+    label: Females aged 105 - 109
+    ordinal: 105
+    row_number: 107
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 107
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: female
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: female_110_plus
+    label: Females aged 110 and over
+    ordinal: 106
+    row_number: 108
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 108
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: female
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  - value_id: male_0
+    label: Males aged 0
+    ordinal: 107
+    row_number: 109
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: male_1
+    label: Males aged 1
+    ordinal: 108
+    row_number: 110
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: male_2
+    label: Males aged 2
+    ordinal: 109
+    row_number: 111
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: male_3
+    label: Males aged 3
+    ordinal: 110
+    row_number: 112
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: male_4
+    label: Males aged 4
+    ordinal: 111
+    row_number: 113
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: male_5
+    label: Males aged 5
+    ordinal: 112
+    row_number: 114
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: male_6
+    label: Males aged 6
+    ordinal: 113
+    row_number: 115
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: male_7
+    label: Males aged 7
+    ordinal: 114
+    row_number: 116
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: male_8
+    label: Males aged 8
+    ordinal: 115
+    row_number: 117
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: male_9
+    label: Males aged 9
+    ordinal: 116
+    row_number: 118
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: male_10
+    label: Males aged 10
+    ordinal: 117
+    row_number: 119
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: male_11
+    label: Males aged 11
+    ordinal: 118
+    row_number: 120
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: male_12
+    label: Males aged 12
+    ordinal: 119
+    row_number: 121
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: male_13
+    label: Males aged 13
+    ordinal: 120
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: male_14
+    label: Males aged 14
+    ordinal: 121
+    row_number: 123
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: male_15
+    label: Males aged 15
+    ordinal: 122
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: male_16
+    label: Males aged 16
+    ordinal: 123
+    row_number: 125
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: male_17
+    label: Males aged 17
+    ordinal: 124
+    row_number: 126
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: male_18
+    label: Males aged 18
+    ordinal: 125
+    row_number: 127
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: male_19
+    label: Males aged 19
+    ordinal: 126
+    row_number: 128
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: male_20
+    label: Males aged 20
+    ordinal: 127
+    row_number: 129
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: male_21
+    label: Males aged 21
+    ordinal: 128
+    row_number: 130
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: male_22
+    label: Males aged 22
+    ordinal: 129
+    row_number: 131
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: male_23
+    label: Males aged 23
+    ordinal: 130
+    row_number: 132
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: male_24
+    label: Males aged 24
+    ordinal: 131
+    row_number: 133
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: male_25
+    label: Males aged 25
+    ordinal: 132
+    row_number: 134
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: male_26
+    label: Males aged 26
+    ordinal: 133
+    row_number: 135
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: male_27
+    label: Males aged 27
+    ordinal: 134
+    row_number: 136
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: male_28
+    label: Males aged 28
+    ordinal: 135
+    row_number: 137
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: male_29
+    label: Males aged 29
+    ordinal: 136
+    row_number: 138
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: male_30
+    label: Males aged 30
+    ordinal: 137
+    row_number: 139
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: male_31
+    label: Males aged 31
+    ordinal: 138
+    row_number: 140
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: male_32
+    label: Males aged 32
+    ordinal: 139
+    row_number: 141
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: male_33
+    label: Males aged 33
+    ordinal: 140
+    row_number: 142
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: male_34
+    label: Males aged 34
+    ordinal: 141
+    row_number: 143
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: male_35
+    label: Males aged 35
+    ordinal: 142
+    row_number: 144
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: male_36
+    label: Males aged 36
+    ordinal: 143
+    row_number: 145
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: male_37
+    label: Males aged 37
+    ordinal: 144
+    row_number: 146
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: male_38
+    label: Males aged 38
+    ordinal: 145
+    row_number: 147
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: male_39
+    label: Males aged 39
+    ordinal: 146
+    row_number: 148
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: male_40
+    label: Males aged 40
+    ordinal: 147
+    row_number: 149
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: male_41
+    label: Males aged 41
+    ordinal: 148
+    row_number: 150
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: male_42
+    label: Males aged 42
+    ordinal: 149
+    row_number: 151
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: male_43
+    label: Males aged 43
+    ordinal: 150
+    row_number: 152
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: male_44
+    label: Males aged 44
+    ordinal: 151
+    row_number: 153
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: male_45
+    label: Males aged 45
+    ordinal: 152
+    row_number: 154
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: male_46
+    label: Males aged 46
+    ordinal: 153
+    row_number: 155
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: male_47
+    label: Males aged 47
+    ordinal: 154
+    row_number: 156
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: male_48
+    label: Males aged 48
+    ordinal: 155
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: male_49
+    label: Males aged 49
+    ordinal: 156
+    row_number: 158
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: male_50
+    label: Males aged 50
+    ordinal: 157
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: male_51
+    label: Males aged 51
+    ordinal: 158
+    row_number: 160
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: male_52
+    label: Males aged 52
+    ordinal: 159
+    row_number: 161
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: male_53
+    label: Males aged 53
+    ordinal: 160
+    row_number: 162
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: male_54
+    label: Males aged 54
+    ordinal: 161
+    row_number: 163
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: male_55
+    label: Males aged 55
+    ordinal: 162
+    row_number: 164
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: male_56
+    label: Males aged 56
+    ordinal: 163
+    row_number: 165
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: male_57
+    label: Males aged 57
+    ordinal: 164
+    row_number: 166
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: male_58
+    label: Males aged 58
+    ordinal: 165
+    row_number: 167
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: male_59
+    label: Males aged 59
+    ordinal: 166
+    row_number: 168
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: male_60
+    label: Males aged 60
+    ordinal: 167
+    row_number: 169
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: male_61
+    label: Males aged 61
+    ordinal: 168
+    row_number: 170
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: male_62
+    label: Males aged 62
+    ordinal: 169
+    row_number: 171
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: male_63
+    label: Males aged 63
+    ordinal: 170
+    row_number: 172
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: male_64
+    label: Males aged 64
+    ordinal: 171
+    row_number: 173
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: male_65
+    label: Males aged 65
+    ordinal: 172
+    row_number: 174
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: male_66
+    label: Males aged 66
+    ordinal: 173
+    row_number: 175
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: male_67
+    label: Males aged 67
+    ordinal: 174
+    row_number: 176
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: male_68
+    label: Males aged 68
+    ordinal: 175
+    row_number: 177
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: male_69
+    label: Males aged 69
+    ordinal: 176
+    row_number: 178
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: male_70
+    label: Males aged 70
+    ordinal: 177
+    row_number: 179
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: male_71
+    label: Males aged 71
+    ordinal: 178
+    row_number: 180
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: male_72
+    label: Males aged 72
+    ordinal: 179
+    row_number: 181
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: male_73
+    label: Males aged 73
+    ordinal: 180
+    row_number: 182
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: male_74
+    label: Males aged 74
+    ordinal: 181
+    row_number: 183
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: male_75
+    label: Males aged 75
+    ordinal: 182
+    row_number: 184
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: male_76
+    label: Males aged 76
+    ordinal: 183
+    row_number: 185
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: male_77
+    label: Males aged 77
+    ordinal: 184
+    row_number: 186
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: male_78
+    label: Males aged 78
+    ordinal: 185
+    row_number: 187
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: male_79
+    label: Males aged 79
+    ordinal: 186
+    row_number: 188
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: male_80
+    label: Males aged 80
+    ordinal: 187
+    row_number: 189
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: male_81
+    label: Males aged 81
+    ordinal: 188
+    row_number: 190
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: male_82
+    label: Males aged 82
+    ordinal: 189
+    row_number: 191
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: male_83
+    label: Males aged 83
+    ordinal: 190
+    row_number: 192
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: male_84
+    label: Males aged 84
+    ordinal: 191
+    row_number: 193
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: male_85
+    label: Males aged 85
+    ordinal: 192
+    row_number: 194
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: male_86
+    label: Males aged 86
+    ordinal: 193
+    row_number: 195
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: male_87
+    label: Males aged 87
+    ordinal: 194
+    row_number: 196
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: male_88
+    label: Males aged 88
+    ordinal: 195
+    row_number: 197
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: male_89
+    label: Males aged 89
+    ordinal: 196
+    row_number: 198
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: male_90
+    label: Males aged 90
+    ordinal: 197
+    row_number: 199
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: male_91
+    label: Males aged 91
+    ordinal: 198
+    row_number: 200
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: male_92
+    label: Males aged 92
+    ordinal: 199
+    row_number: 201
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: male_93
+    label: Males aged 93
+    ordinal: 200
+    row_number: 202
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: male_94
+    label: Males aged 94
+    ordinal: 201
+    row_number: 203
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: male_95
+    label: Males aged 95
+    ordinal: 202
+    row_number: 204
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: male_96
+    label: Males aged 96
+    ordinal: 203
+    row_number: 205
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: male_97
+    label: Males aged 97
+    ordinal: 204
+    row_number: 206
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: male_98
+    label: Males aged 98
+    ordinal: 205
+    row_number: 207
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: male_99
+    label: Males aged 99
+    ordinal: 206
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: male_100
+    label: Males aged 100
+    ordinal: 207
+    row_number: 209
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: male_101
+    label: Males aged 101
+    ordinal: 208
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: male_102
+    label: Males aged 102
+    ordinal: 209
+    row_number: 211
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: male_103
+    label: Males aged 103
+    ordinal: 210
+    row_number: 212
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: male_104
+    label: Males aged 104
+    ordinal: 211
+    row_number: 213
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: male_105 - 109
+    label: Males aged 105 - 109
+    ordinal: 212
+    row_number: 214
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 214
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: male
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: male_110_plus
+    label: Males aged 110 and over
+    ordinal: 213
+    row_number: 215
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 215
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: male
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Projected resident population, 2025
+    ordinal: 0
+    column: D
+    source_column_id: population
+    concept: ons.projected_population_principal
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.npp2024.uk_ppp.population.y2026
+  provenance_class: model_output
+  assertion: source_projection
+  record_set_spec_id: ons.npp2024.uk_ppp.population.y2026.v1
+  source_record_id_prefix: ons.npp2024.uk_ppp.population.y2026
+  sheet_name: Population
+  period_type: calendar_year
+  period: 2026
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: ons.npp_age_sex
+  rows:
+  - value_id: female_0
+    label: Females aged 0
+    ordinal: 0
+    row_number: 2
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: female_1
+    label: Females aged 1
+    ordinal: 1
+    row_number: 3
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: female_2
+    label: Females aged 2
+    ordinal: 2
+    row_number: 4
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: female_3
+    label: Females aged 3
+    ordinal: 3
+    row_number: 5
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: female_4
+    label: Females aged 4
+    ordinal: 4
+    row_number: 6
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: female_5
+    label: Females aged 5
+    ordinal: 5
+    row_number: 7
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: female_6
+    label: Females aged 6
+    ordinal: 6
+    row_number: 8
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: female_7
+    label: Females aged 7
+    ordinal: 7
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: female_8
+    label: Females aged 8
+    ordinal: 8
+    row_number: 10
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: female_9
+    label: Females aged 9
+    ordinal: 9
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: female_10
+    label: Females aged 10
+    ordinal: 10
+    row_number: 12
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: female_11
+    label: Females aged 11
+    ordinal: 11
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: female_12
+    label: Females aged 12
+    ordinal: 12
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: female_13
+    label: Females aged 13
+    ordinal: 13
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: female_14
+    label: Females aged 14
+    ordinal: 14
+    row_number: 16
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: female_15
+    label: Females aged 15
+    ordinal: 15
+    row_number: 17
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: female_16
+    label: Females aged 16
+    ordinal: 16
+    row_number: 18
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: female_17
+    label: Females aged 17
+    ordinal: 17
+    row_number: 19
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: female_18
+    label: Females aged 18
+    ordinal: 18
+    row_number: 20
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: female_19
+    label: Females aged 19
+    ordinal: 19
+    row_number: 21
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: female_20
+    label: Females aged 20
+    ordinal: 20
+    row_number: 22
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: female_21
+    label: Females aged 21
+    ordinal: 21
+    row_number: 23
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: female_22
+    label: Females aged 22
+    ordinal: 22
+    row_number: 24
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: female_23
+    label: Females aged 23
+    ordinal: 23
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: female_24
+    label: Females aged 24
+    ordinal: 24
+    row_number: 26
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: female_25
+    label: Females aged 25
+    ordinal: 25
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: female_26
+    label: Females aged 26
+    ordinal: 26
+    row_number: 28
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: female_27
+    label: Females aged 27
+    ordinal: 27
+    row_number: 29
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: female_28
+    label: Females aged 28
+    ordinal: 28
+    row_number: 30
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: female_29
+    label: Females aged 29
+    ordinal: 29
+    row_number: 31
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: female_30
+    label: Females aged 30
+    ordinal: 30
+    row_number: 32
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: female_31
+    label: Females aged 31
+    ordinal: 31
+    row_number: 33
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: female_32
+    label: Females aged 32
+    ordinal: 32
+    row_number: 34
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: female_33
+    label: Females aged 33
+    ordinal: 33
+    row_number: 35
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: female_34
+    label: Females aged 34
+    ordinal: 34
+    row_number: 36
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: female_35
+    label: Females aged 35
+    ordinal: 35
+    row_number: 37
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: female_36
+    label: Females aged 36
+    ordinal: 36
+    row_number: 38
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: female_37
+    label: Females aged 37
+    ordinal: 37
+    row_number: 39
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: female_38
+    label: Females aged 38
+    ordinal: 38
+    row_number: 40
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: female_39
+    label: Females aged 39
+    ordinal: 39
+    row_number: 41
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: female_40
+    label: Females aged 40
+    ordinal: 40
+    row_number: 42
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: female_41
+    label: Females aged 41
+    ordinal: 41
+    row_number: 43
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: female_42
+    label: Females aged 42
+    ordinal: 42
+    row_number: 44
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: female_43
+    label: Females aged 43
+    ordinal: 43
+    row_number: 45
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: female_44
+    label: Females aged 44
+    ordinal: 44
+    row_number: 46
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: female_45
+    label: Females aged 45
+    ordinal: 45
+    row_number: 47
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: female_46
+    label: Females aged 46
+    ordinal: 46
+    row_number: 48
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: female_47
+    label: Females aged 47
+    ordinal: 47
+    row_number: 49
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: female_48
+    label: Females aged 48
+    ordinal: 48
+    row_number: 50
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: female_49
+    label: Females aged 49
+    ordinal: 49
+    row_number: 51
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: female_50
+    label: Females aged 50
+    ordinal: 50
+    row_number: 52
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: female_51
+    label: Females aged 51
+    ordinal: 51
+    row_number: 53
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: female_52
+    label: Females aged 52
+    ordinal: 52
+    row_number: 54
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: female_53
+    label: Females aged 53
+    ordinal: 53
+    row_number: 55
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: female_54
+    label: Females aged 54
+    ordinal: 54
+    row_number: 56
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: female_55
+    label: Females aged 55
+    ordinal: 55
+    row_number: 57
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: female_56
+    label: Females aged 56
+    ordinal: 56
+    row_number: 58
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: female_57
+    label: Females aged 57
+    ordinal: 57
+    row_number: 59
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: female_58
+    label: Females aged 58
+    ordinal: 58
+    row_number: 60
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: female_59
+    label: Females aged 59
+    ordinal: 59
+    row_number: 61
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: female_60
+    label: Females aged 60
+    ordinal: 60
+    row_number: 62
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: female_61
+    label: Females aged 61
+    ordinal: 61
+    row_number: 63
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: female_62
+    label: Females aged 62
+    ordinal: 62
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: female_63
+    label: Females aged 63
+    ordinal: 63
+    row_number: 65
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: female_64
+    label: Females aged 64
+    ordinal: 64
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: female_65
+    label: Females aged 65
+    ordinal: 65
+    row_number: 67
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: female_66
+    label: Females aged 66
+    ordinal: 66
+    row_number: 68
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: female_67
+    label: Females aged 67
+    ordinal: 67
+    row_number: 69
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: female_68
+    label: Females aged 68
+    ordinal: 68
+    row_number: 70
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: female_69
+    label: Females aged 69
+    ordinal: 69
+    row_number: 71
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: female_70
+    label: Females aged 70
+    ordinal: 70
+    row_number: 72
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: female_71
+    label: Females aged 71
+    ordinal: 71
+    row_number: 73
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: female_72
+    label: Females aged 72
+    ordinal: 72
+    row_number: 74
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: female_73
+    label: Females aged 73
+    ordinal: 73
+    row_number: 75
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: female_74
+    label: Females aged 74
+    ordinal: 74
+    row_number: 76
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: female_75
+    label: Females aged 75
+    ordinal: 75
+    row_number: 77
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: female_76
+    label: Females aged 76
+    ordinal: 76
+    row_number: 78
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: female_77
+    label: Females aged 77
+    ordinal: 77
+    row_number: 79
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: female_78
+    label: Females aged 78
+    ordinal: 78
+    row_number: 80
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: female_79
+    label: Females aged 79
+    ordinal: 79
+    row_number: 81
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: female_80
+    label: Females aged 80
+    ordinal: 80
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: female_81
+    label: Females aged 81
+    ordinal: 81
+    row_number: 83
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: female_82
+    label: Females aged 82
+    ordinal: 82
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: female_83
+    label: Females aged 83
+    ordinal: 83
+    row_number: 85
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: female_84
+    label: Females aged 84
+    ordinal: 84
+    row_number: 86
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: female_85
+    label: Females aged 85
+    ordinal: 85
+    row_number: 87
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: female_86
+    label: Females aged 86
+    ordinal: 86
+    row_number: 88
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: female_87
+    label: Females aged 87
+    ordinal: 87
+    row_number: 89
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: female_88
+    label: Females aged 88
+    ordinal: 88
+    row_number: 90
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: female_89
+    label: Females aged 89
+    ordinal: 89
+    row_number: 91
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: female_90
+    label: Females aged 90
+    ordinal: 90
+    row_number: 92
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: female_91
+    label: Females aged 91
+    ordinal: 91
+    row_number: 93
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: female_92
+    label: Females aged 92
+    ordinal: 92
+    row_number: 94
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: female_93
+    label: Females aged 93
+    ordinal: 93
+    row_number: 95
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: female_94
+    label: Females aged 94
+    ordinal: 94
+    row_number: 96
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: female_95
+    label: Females aged 95
+    ordinal: 95
+    row_number: 97
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: female_96
+    label: Females aged 96
+    ordinal: 96
+    row_number: 98
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: female_97
+    label: Females aged 97
+    ordinal: 97
+    row_number: 99
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: female_98
+    label: Females aged 98
+    ordinal: 98
+    row_number: 100
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: female_99
+    label: Females aged 99
+    ordinal: 99
+    row_number: 101
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: female_100
+    label: Females aged 100
+    ordinal: 100
+    row_number: 102
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: female_101
+    label: Females aged 101
+    ordinal: 101
+    row_number: 103
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: female_102
+    label: Females aged 102
+    ordinal: 102
+    row_number: 104
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: female_103
+    label: Females aged 103
+    ordinal: 103
+    row_number: 105
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: female_104
+    label: Females aged 104
+    ordinal: 104
+    row_number: 106
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: female_105 - 109
+    label: Females aged 105 - 109
+    ordinal: 105
+    row_number: 107
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 107
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: female
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: female_110_plus
+    label: Females aged 110 and over
+    ordinal: 106
+    row_number: 108
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 108
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: female
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  - value_id: male_0
+    label: Males aged 0
+    ordinal: 107
+    row_number: 109
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: male_1
+    label: Males aged 1
+    ordinal: 108
+    row_number: 110
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: male_2
+    label: Males aged 2
+    ordinal: 109
+    row_number: 111
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: male_3
+    label: Males aged 3
+    ordinal: 110
+    row_number: 112
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: male_4
+    label: Males aged 4
+    ordinal: 111
+    row_number: 113
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: male_5
+    label: Males aged 5
+    ordinal: 112
+    row_number: 114
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: male_6
+    label: Males aged 6
+    ordinal: 113
+    row_number: 115
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: male_7
+    label: Males aged 7
+    ordinal: 114
+    row_number: 116
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: male_8
+    label: Males aged 8
+    ordinal: 115
+    row_number: 117
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: male_9
+    label: Males aged 9
+    ordinal: 116
+    row_number: 118
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: male_10
+    label: Males aged 10
+    ordinal: 117
+    row_number: 119
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: male_11
+    label: Males aged 11
+    ordinal: 118
+    row_number: 120
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: male_12
+    label: Males aged 12
+    ordinal: 119
+    row_number: 121
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: male_13
+    label: Males aged 13
+    ordinal: 120
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: male_14
+    label: Males aged 14
+    ordinal: 121
+    row_number: 123
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: male_15
+    label: Males aged 15
+    ordinal: 122
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: male_16
+    label: Males aged 16
+    ordinal: 123
+    row_number: 125
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: male_17
+    label: Males aged 17
+    ordinal: 124
+    row_number: 126
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: male_18
+    label: Males aged 18
+    ordinal: 125
+    row_number: 127
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: male_19
+    label: Males aged 19
+    ordinal: 126
+    row_number: 128
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: male_20
+    label: Males aged 20
+    ordinal: 127
+    row_number: 129
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: male_21
+    label: Males aged 21
+    ordinal: 128
+    row_number: 130
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: male_22
+    label: Males aged 22
+    ordinal: 129
+    row_number: 131
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: male_23
+    label: Males aged 23
+    ordinal: 130
+    row_number: 132
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: male_24
+    label: Males aged 24
+    ordinal: 131
+    row_number: 133
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: male_25
+    label: Males aged 25
+    ordinal: 132
+    row_number: 134
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: male_26
+    label: Males aged 26
+    ordinal: 133
+    row_number: 135
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: male_27
+    label: Males aged 27
+    ordinal: 134
+    row_number: 136
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: male_28
+    label: Males aged 28
+    ordinal: 135
+    row_number: 137
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: male_29
+    label: Males aged 29
+    ordinal: 136
+    row_number: 138
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: male_30
+    label: Males aged 30
+    ordinal: 137
+    row_number: 139
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: male_31
+    label: Males aged 31
+    ordinal: 138
+    row_number: 140
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: male_32
+    label: Males aged 32
+    ordinal: 139
+    row_number: 141
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: male_33
+    label: Males aged 33
+    ordinal: 140
+    row_number: 142
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: male_34
+    label: Males aged 34
+    ordinal: 141
+    row_number: 143
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: male_35
+    label: Males aged 35
+    ordinal: 142
+    row_number: 144
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: male_36
+    label: Males aged 36
+    ordinal: 143
+    row_number: 145
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: male_37
+    label: Males aged 37
+    ordinal: 144
+    row_number: 146
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: male_38
+    label: Males aged 38
+    ordinal: 145
+    row_number: 147
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: male_39
+    label: Males aged 39
+    ordinal: 146
+    row_number: 148
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: male_40
+    label: Males aged 40
+    ordinal: 147
+    row_number: 149
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: male_41
+    label: Males aged 41
+    ordinal: 148
+    row_number: 150
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: male_42
+    label: Males aged 42
+    ordinal: 149
+    row_number: 151
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: male_43
+    label: Males aged 43
+    ordinal: 150
+    row_number: 152
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: male_44
+    label: Males aged 44
+    ordinal: 151
+    row_number: 153
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: male_45
+    label: Males aged 45
+    ordinal: 152
+    row_number: 154
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: male_46
+    label: Males aged 46
+    ordinal: 153
+    row_number: 155
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: male_47
+    label: Males aged 47
+    ordinal: 154
+    row_number: 156
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: male_48
+    label: Males aged 48
+    ordinal: 155
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: male_49
+    label: Males aged 49
+    ordinal: 156
+    row_number: 158
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: male_50
+    label: Males aged 50
+    ordinal: 157
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: male_51
+    label: Males aged 51
+    ordinal: 158
+    row_number: 160
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: male_52
+    label: Males aged 52
+    ordinal: 159
+    row_number: 161
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: male_53
+    label: Males aged 53
+    ordinal: 160
+    row_number: 162
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: male_54
+    label: Males aged 54
+    ordinal: 161
+    row_number: 163
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: male_55
+    label: Males aged 55
+    ordinal: 162
+    row_number: 164
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: male_56
+    label: Males aged 56
+    ordinal: 163
+    row_number: 165
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: male_57
+    label: Males aged 57
+    ordinal: 164
+    row_number: 166
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: male_58
+    label: Males aged 58
+    ordinal: 165
+    row_number: 167
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: male_59
+    label: Males aged 59
+    ordinal: 166
+    row_number: 168
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: male_60
+    label: Males aged 60
+    ordinal: 167
+    row_number: 169
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: male_61
+    label: Males aged 61
+    ordinal: 168
+    row_number: 170
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: male_62
+    label: Males aged 62
+    ordinal: 169
+    row_number: 171
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: male_63
+    label: Males aged 63
+    ordinal: 170
+    row_number: 172
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: male_64
+    label: Males aged 64
+    ordinal: 171
+    row_number: 173
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: male_65
+    label: Males aged 65
+    ordinal: 172
+    row_number: 174
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: male_66
+    label: Males aged 66
+    ordinal: 173
+    row_number: 175
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: male_67
+    label: Males aged 67
+    ordinal: 174
+    row_number: 176
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: male_68
+    label: Males aged 68
+    ordinal: 175
+    row_number: 177
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: male_69
+    label: Males aged 69
+    ordinal: 176
+    row_number: 178
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: male_70
+    label: Males aged 70
+    ordinal: 177
+    row_number: 179
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: male_71
+    label: Males aged 71
+    ordinal: 178
+    row_number: 180
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: male_72
+    label: Males aged 72
+    ordinal: 179
+    row_number: 181
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: male_73
+    label: Males aged 73
+    ordinal: 180
+    row_number: 182
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: male_74
+    label: Males aged 74
+    ordinal: 181
+    row_number: 183
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: male_75
+    label: Males aged 75
+    ordinal: 182
+    row_number: 184
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: male_76
+    label: Males aged 76
+    ordinal: 183
+    row_number: 185
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: male_77
+    label: Males aged 77
+    ordinal: 184
+    row_number: 186
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: male_78
+    label: Males aged 78
+    ordinal: 185
+    row_number: 187
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: male_79
+    label: Males aged 79
+    ordinal: 186
+    row_number: 188
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: male_80
+    label: Males aged 80
+    ordinal: 187
+    row_number: 189
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: male_81
+    label: Males aged 81
+    ordinal: 188
+    row_number: 190
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: male_82
+    label: Males aged 82
+    ordinal: 189
+    row_number: 191
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: male_83
+    label: Males aged 83
+    ordinal: 190
+    row_number: 192
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: male_84
+    label: Males aged 84
+    ordinal: 191
+    row_number: 193
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: male_85
+    label: Males aged 85
+    ordinal: 192
+    row_number: 194
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: male_86
+    label: Males aged 86
+    ordinal: 193
+    row_number: 195
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: male_87
+    label: Males aged 87
+    ordinal: 194
+    row_number: 196
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: male_88
+    label: Males aged 88
+    ordinal: 195
+    row_number: 197
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: male_89
+    label: Males aged 89
+    ordinal: 196
+    row_number: 198
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: male_90
+    label: Males aged 90
+    ordinal: 197
+    row_number: 199
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: male_91
+    label: Males aged 91
+    ordinal: 198
+    row_number: 200
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: male_92
+    label: Males aged 92
+    ordinal: 199
+    row_number: 201
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: male_93
+    label: Males aged 93
+    ordinal: 200
+    row_number: 202
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: male_94
+    label: Males aged 94
+    ordinal: 201
+    row_number: 203
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: male_95
+    label: Males aged 95
+    ordinal: 202
+    row_number: 204
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: male_96
+    label: Males aged 96
+    ordinal: 203
+    row_number: 205
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: male_97
+    label: Males aged 97
+    ordinal: 204
+    row_number: 206
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: male_98
+    label: Males aged 98
+    ordinal: 205
+    row_number: 207
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: male_99
+    label: Males aged 99
+    ordinal: 206
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: male_100
+    label: Males aged 100
+    ordinal: 207
+    row_number: 209
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: male_101
+    label: Males aged 101
+    ordinal: 208
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: male_102
+    label: Males aged 102
+    ordinal: 209
+    row_number: 211
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: male_103
+    label: Males aged 103
+    ordinal: 210
+    row_number: 212
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: male_104
+    label: Males aged 104
+    ordinal: 211
+    row_number: 213
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: male_105 - 109
+    label: Males aged 105 - 109
+    ordinal: 212
+    row_number: 214
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 214
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: male
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: male_110_plus
+    label: Males aged 110 and over
+    ordinal: 213
+    row_number: 215
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 215
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: male
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Projected resident population, 2026
+    ordinal: 0
+    column: E
+    source_column_id: population
+    concept: ons.projected_population_principal
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.npp2024.uk_ppp.population.y2027
+  provenance_class: model_output
+  assertion: source_projection
+  record_set_spec_id: ons.npp2024.uk_ppp.population.y2027.v1
+  source_record_id_prefix: ons.npp2024.uk_ppp.population.y2027
+  sheet_name: Population
+  period_type: calendar_year
+  period: 2027
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: ons.npp_age_sex
+  rows:
+  - value_id: female_0
+    label: Females aged 0
+    ordinal: 0
+    row_number: 2
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: female_1
+    label: Females aged 1
+    ordinal: 1
+    row_number: 3
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: female_2
+    label: Females aged 2
+    ordinal: 2
+    row_number: 4
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: female_3
+    label: Females aged 3
+    ordinal: 3
+    row_number: 5
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: female_4
+    label: Females aged 4
+    ordinal: 4
+    row_number: 6
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: female_5
+    label: Females aged 5
+    ordinal: 5
+    row_number: 7
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: female_6
+    label: Females aged 6
+    ordinal: 6
+    row_number: 8
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: female_7
+    label: Females aged 7
+    ordinal: 7
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: female_8
+    label: Females aged 8
+    ordinal: 8
+    row_number: 10
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: female_9
+    label: Females aged 9
+    ordinal: 9
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: female_10
+    label: Females aged 10
+    ordinal: 10
+    row_number: 12
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: female_11
+    label: Females aged 11
+    ordinal: 11
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: female_12
+    label: Females aged 12
+    ordinal: 12
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: female_13
+    label: Females aged 13
+    ordinal: 13
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: female_14
+    label: Females aged 14
+    ordinal: 14
+    row_number: 16
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: female_15
+    label: Females aged 15
+    ordinal: 15
+    row_number: 17
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: female_16
+    label: Females aged 16
+    ordinal: 16
+    row_number: 18
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: female_17
+    label: Females aged 17
+    ordinal: 17
+    row_number: 19
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: female_18
+    label: Females aged 18
+    ordinal: 18
+    row_number: 20
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: female_19
+    label: Females aged 19
+    ordinal: 19
+    row_number: 21
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: female_20
+    label: Females aged 20
+    ordinal: 20
+    row_number: 22
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: female_21
+    label: Females aged 21
+    ordinal: 21
+    row_number: 23
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: female_22
+    label: Females aged 22
+    ordinal: 22
+    row_number: 24
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: female_23
+    label: Females aged 23
+    ordinal: 23
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: female_24
+    label: Females aged 24
+    ordinal: 24
+    row_number: 26
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: female_25
+    label: Females aged 25
+    ordinal: 25
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: female_26
+    label: Females aged 26
+    ordinal: 26
+    row_number: 28
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: female_27
+    label: Females aged 27
+    ordinal: 27
+    row_number: 29
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: female_28
+    label: Females aged 28
+    ordinal: 28
+    row_number: 30
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: female_29
+    label: Females aged 29
+    ordinal: 29
+    row_number: 31
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: female_30
+    label: Females aged 30
+    ordinal: 30
+    row_number: 32
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: female_31
+    label: Females aged 31
+    ordinal: 31
+    row_number: 33
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: female_32
+    label: Females aged 32
+    ordinal: 32
+    row_number: 34
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: female_33
+    label: Females aged 33
+    ordinal: 33
+    row_number: 35
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: female_34
+    label: Females aged 34
+    ordinal: 34
+    row_number: 36
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: female_35
+    label: Females aged 35
+    ordinal: 35
+    row_number: 37
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: female_36
+    label: Females aged 36
+    ordinal: 36
+    row_number: 38
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: female_37
+    label: Females aged 37
+    ordinal: 37
+    row_number: 39
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: female_38
+    label: Females aged 38
+    ordinal: 38
+    row_number: 40
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: female_39
+    label: Females aged 39
+    ordinal: 39
+    row_number: 41
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: female_40
+    label: Females aged 40
+    ordinal: 40
+    row_number: 42
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: female_41
+    label: Females aged 41
+    ordinal: 41
+    row_number: 43
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: female_42
+    label: Females aged 42
+    ordinal: 42
+    row_number: 44
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: female_43
+    label: Females aged 43
+    ordinal: 43
+    row_number: 45
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: female_44
+    label: Females aged 44
+    ordinal: 44
+    row_number: 46
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: female_45
+    label: Females aged 45
+    ordinal: 45
+    row_number: 47
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: female_46
+    label: Females aged 46
+    ordinal: 46
+    row_number: 48
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: female_47
+    label: Females aged 47
+    ordinal: 47
+    row_number: 49
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: female_48
+    label: Females aged 48
+    ordinal: 48
+    row_number: 50
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: female_49
+    label: Females aged 49
+    ordinal: 49
+    row_number: 51
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: female_50
+    label: Females aged 50
+    ordinal: 50
+    row_number: 52
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: female_51
+    label: Females aged 51
+    ordinal: 51
+    row_number: 53
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: female_52
+    label: Females aged 52
+    ordinal: 52
+    row_number: 54
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: female_53
+    label: Females aged 53
+    ordinal: 53
+    row_number: 55
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: female_54
+    label: Females aged 54
+    ordinal: 54
+    row_number: 56
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: female_55
+    label: Females aged 55
+    ordinal: 55
+    row_number: 57
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: female_56
+    label: Females aged 56
+    ordinal: 56
+    row_number: 58
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: female_57
+    label: Females aged 57
+    ordinal: 57
+    row_number: 59
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: female_58
+    label: Females aged 58
+    ordinal: 58
+    row_number: 60
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: female_59
+    label: Females aged 59
+    ordinal: 59
+    row_number: 61
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: female_60
+    label: Females aged 60
+    ordinal: 60
+    row_number: 62
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: female_61
+    label: Females aged 61
+    ordinal: 61
+    row_number: 63
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: female_62
+    label: Females aged 62
+    ordinal: 62
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: female_63
+    label: Females aged 63
+    ordinal: 63
+    row_number: 65
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: female_64
+    label: Females aged 64
+    ordinal: 64
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: female_65
+    label: Females aged 65
+    ordinal: 65
+    row_number: 67
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: female_66
+    label: Females aged 66
+    ordinal: 66
+    row_number: 68
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: female_67
+    label: Females aged 67
+    ordinal: 67
+    row_number: 69
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: female_68
+    label: Females aged 68
+    ordinal: 68
+    row_number: 70
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: female_69
+    label: Females aged 69
+    ordinal: 69
+    row_number: 71
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: female_70
+    label: Females aged 70
+    ordinal: 70
+    row_number: 72
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: female_71
+    label: Females aged 71
+    ordinal: 71
+    row_number: 73
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: female_72
+    label: Females aged 72
+    ordinal: 72
+    row_number: 74
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: female_73
+    label: Females aged 73
+    ordinal: 73
+    row_number: 75
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: female_74
+    label: Females aged 74
+    ordinal: 74
+    row_number: 76
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: female_75
+    label: Females aged 75
+    ordinal: 75
+    row_number: 77
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: female_76
+    label: Females aged 76
+    ordinal: 76
+    row_number: 78
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: female_77
+    label: Females aged 77
+    ordinal: 77
+    row_number: 79
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: female_78
+    label: Females aged 78
+    ordinal: 78
+    row_number: 80
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: female_79
+    label: Females aged 79
+    ordinal: 79
+    row_number: 81
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: female_80
+    label: Females aged 80
+    ordinal: 80
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: female_81
+    label: Females aged 81
+    ordinal: 81
+    row_number: 83
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: female_82
+    label: Females aged 82
+    ordinal: 82
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: female_83
+    label: Females aged 83
+    ordinal: 83
+    row_number: 85
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: female_84
+    label: Females aged 84
+    ordinal: 84
+    row_number: 86
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: female_85
+    label: Females aged 85
+    ordinal: 85
+    row_number: 87
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: female_86
+    label: Females aged 86
+    ordinal: 86
+    row_number: 88
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: female_87
+    label: Females aged 87
+    ordinal: 87
+    row_number: 89
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: female_88
+    label: Females aged 88
+    ordinal: 88
+    row_number: 90
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: female_89
+    label: Females aged 89
+    ordinal: 89
+    row_number: 91
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: female_90
+    label: Females aged 90
+    ordinal: 90
+    row_number: 92
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: female_91
+    label: Females aged 91
+    ordinal: 91
+    row_number: 93
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: female_92
+    label: Females aged 92
+    ordinal: 92
+    row_number: 94
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: female_93
+    label: Females aged 93
+    ordinal: 93
+    row_number: 95
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: female_94
+    label: Females aged 94
+    ordinal: 94
+    row_number: 96
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: female_95
+    label: Females aged 95
+    ordinal: 95
+    row_number: 97
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: female_96
+    label: Females aged 96
+    ordinal: 96
+    row_number: 98
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: female_97
+    label: Females aged 97
+    ordinal: 97
+    row_number: 99
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: female_98
+    label: Females aged 98
+    ordinal: 98
+    row_number: 100
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: female_99
+    label: Females aged 99
+    ordinal: 99
+    row_number: 101
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: female_100
+    label: Females aged 100
+    ordinal: 100
+    row_number: 102
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: female_101
+    label: Females aged 101
+    ordinal: 101
+    row_number: 103
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: female_102
+    label: Females aged 102
+    ordinal: 102
+    row_number: 104
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: female_103
+    label: Females aged 103
+    ordinal: 103
+    row_number: 105
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: female_104
+    label: Females aged 104
+    ordinal: 104
+    row_number: 106
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: female_105 - 109
+    label: Females aged 105 - 109
+    ordinal: 105
+    row_number: 107
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 107
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: female
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: female_110_plus
+    label: Females aged 110 and over
+    ordinal: 106
+    row_number: 108
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 108
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: female
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  - value_id: male_0
+    label: Males aged 0
+    ordinal: 107
+    row_number: 109
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: male_1
+    label: Males aged 1
+    ordinal: 108
+    row_number: 110
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: male_2
+    label: Males aged 2
+    ordinal: 109
+    row_number: 111
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: male_3
+    label: Males aged 3
+    ordinal: 110
+    row_number: 112
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: male_4
+    label: Males aged 4
+    ordinal: 111
+    row_number: 113
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: male_5
+    label: Males aged 5
+    ordinal: 112
+    row_number: 114
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: male_6
+    label: Males aged 6
+    ordinal: 113
+    row_number: 115
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: male_7
+    label: Males aged 7
+    ordinal: 114
+    row_number: 116
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: male_8
+    label: Males aged 8
+    ordinal: 115
+    row_number: 117
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: male_9
+    label: Males aged 9
+    ordinal: 116
+    row_number: 118
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: male_10
+    label: Males aged 10
+    ordinal: 117
+    row_number: 119
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: male_11
+    label: Males aged 11
+    ordinal: 118
+    row_number: 120
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: male_12
+    label: Males aged 12
+    ordinal: 119
+    row_number: 121
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: male_13
+    label: Males aged 13
+    ordinal: 120
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: male_14
+    label: Males aged 14
+    ordinal: 121
+    row_number: 123
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: male_15
+    label: Males aged 15
+    ordinal: 122
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: male_16
+    label: Males aged 16
+    ordinal: 123
+    row_number: 125
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: male_17
+    label: Males aged 17
+    ordinal: 124
+    row_number: 126
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: male_18
+    label: Males aged 18
+    ordinal: 125
+    row_number: 127
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: male_19
+    label: Males aged 19
+    ordinal: 126
+    row_number: 128
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: male_20
+    label: Males aged 20
+    ordinal: 127
+    row_number: 129
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: male_21
+    label: Males aged 21
+    ordinal: 128
+    row_number: 130
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: male_22
+    label: Males aged 22
+    ordinal: 129
+    row_number: 131
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: male_23
+    label: Males aged 23
+    ordinal: 130
+    row_number: 132
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: male_24
+    label: Males aged 24
+    ordinal: 131
+    row_number: 133
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: male_25
+    label: Males aged 25
+    ordinal: 132
+    row_number: 134
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: male_26
+    label: Males aged 26
+    ordinal: 133
+    row_number: 135
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: male_27
+    label: Males aged 27
+    ordinal: 134
+    row_number: 136
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: male_28
+    label: Males aged 28
+    ordinal: 135
+    row_number: 137
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: male_29
+    label: Males aged 29
+    ordinal: 136
+    row_number: 138
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: male_30
+    label: Males aged 30
+    ordinal: 137
+    row_number: 139
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: male_31
+    label: Males aged 31
+    ordinal: 138
+    row_number: 140
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: male_32
+    label: Males aged 32
+    ordinal: 139
+    row_number: 141
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: male_33
+    label: Males aged 33
+    ordinal: 140
+    row_number: 142
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: male_34
+    label: Males aged 34
+    ordinal: 141
+    row_number: 143
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: male_35
+    label: Males aged 35
+    ordinal: 142
+    row_number: 144
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: male_36
+    label: Males aged 36
+    ordinal: 143
+    row_number: 145
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: male_37
+    label: Males aged 37
+    ordinal: 144
+    row_number: 146
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: male_38
+    label: Males aged 38
+    ordinal: 145
+    row_number: 147
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: male_39
+    label: Males aged 39
+    ordinal: 146
+    row_number: 148
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: male_40
+    label: Males aged 40
+    ordinal: 147
+    row_number: 149
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: male_41
+    label: Males aged 41
+    ordinal: 148
+    row_number: 150
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: male_42
+    label: Males aged 42
+    ordinal: 149
+    row_number: 151
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: male_43
+    label: Males aged 43
+    ordinal: 150
+    row_number: 152
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: male_44
+    label: Males aged 44
+    ordinal: 151
+    row_number: 153
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: male_45
+    label: Males aged 45
+    ordinal: 152
+    row_number: 154
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: male_46
+    label: Males aged 46
+    ordinal: 153
+    row_number: 155
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: male_47
+    label: Males aged 47
+    ordinal: 154
+    row_number: 156
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: male_48
+    label: Males aged 48
+    ordinal: 155
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: male_49
+    label: Males aged 49
+    ordinal: 156
+    row_number: 158
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: male_50
+    label: Males aged 50
+    ordinal: 157
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: male_51
+    label: Males aged 51
+    ordinal: 158
+    row_number: 160
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: male_52
+    label: Males aged 52
+    ordinal: 159
+    row_number: 161
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: male_53
+    label: Males aged 53
+    ordinal: 160
+    row_number: 162
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: male_54
+    label: Males aged 54
+    ordinal: 161
+    row_number: 163
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: male_55
+    label: Males aged 55
+    ordinal: 162
+    row_number: 164
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: male_56
+    label: Males aged 56
+    ordinal: 163
+    row_number: 165
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: male_57
+    label: Males aged 57
+    ordinal: 164
+    row_number: 166
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: male_58
+    label: Males aged 58
+    ordinal: 165
+    row_number: 167
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: male_59
+    label: Males aged 59
+    ordinal: 166
+    row_number: 168
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: male_60
+    label: Males aged 60
+    ordinal: 167
+    row_number: 169
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: male_61
+    label: Males aged 61
+    ordinal: 168
+    row_number: 170
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: male_62
+    label: Males aged 62
+    ordinal: 169
+    row_number: 171
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: male_63
+    label: Males aged 63
+    ordinal: 170
+    row_number: 172
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: male_64
+    label: Males aged 64
+    ordinal: 171
+    row_number: 173
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: male_65
+    label: Males aged 65
+    ordinal: 172
+    row_number: 174
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: male_66
+    label: Males aged 66
+    ordinal: 173
+    row_number: 175
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: male_67
+    label: Males aged 67
+    ordinal: 174
+    row_number: 176
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: male_68
+    label: Males aged 68
+    ordinal: 175
+    row_number: 177
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: male_69
+    label: Males aged 69
+    ordinal: 176
+    row_number: 178
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: male_70
+    label: Males aged 70
+    ordinal: 177
+    row_number: 179
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: male_71
+    label: Males aged 71
+    ordinal: 178
+    row_number: 180
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: male_72
+    label: Males aged 72
+    ordinal: 179
+    row_number: 181
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: male_73
+    label: Males aged 73
+    ordinal: 180
+    row_number: 182
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: male_74
+    label: Males aged 74
+    ordinal: 181
+    row_number: 183
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: male_75
+    label: Males aged 75
+    ordinal: 182
+    row_number: 184
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: male_76
+    label: Males aged 76
+    ordinal: 183
+    row_number: 185
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: male_77
+    label: Males aged 77
+    ordinal: 184
+    row_number: 186
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: male_78
+    label: Males aged 78
+    ordinal: 185
+    row_number: 187
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: male_79
+    label: Males aged 79
+    ordinal: 186
+    row_number: 188
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: male_80
+    label: Males aged 80
+    ordinal: 187
+    row_number: 189
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: male_81
+    label: Males aged 81
+    ordinal: 188
+    row_number: 190
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: male_82
+    label: Males aged 82
+    ordinal: 189
+    row_number: 191
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: male_83
+    label: Males aged 83
+    ordinal: 190
+    row_number: 192
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: male_84
+    label: Males aged 84
+    ordinal: 191
+    row_number: 193
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: male_85
+    label: Males aged 85
+    ordinal: 192
+    row_number: 194
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: male_86
+    label: Males aged 86
+    ordinal: 193
+    row_number: 195
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: male_87
+    label: Males aged 87
+    ordinal: 194
+    row_number: 196
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: male_88
+    label: Males aged 88
+    ordinal: 195
+    row_number: 197
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: male_89
+    label: Males aged 89
+    ordinal: 196
+    row_number: 198
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: male_90
+    label: Males aged 90
+    ordinal: 197
+    row_number: 199
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: male_91
+    label: Males aged 91
+    ordinal: 198
+    row_number: 200
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: male_92
+    label: Males aged 92
+    ordinal: 199
+    row_number: 201
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: male_93
+    label: Males aged 93
+    ordinal: 200
+    row_number: 202
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: male_94
+    label: Males aged 94
+    ordinal: 201
+    row_number: 203
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: male_95
+    label: Males aged 95
+    ordinal: 202
+    row_number: 204
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: male_96
+    label: Males aged 96
+    ordinal: 203
+    row_number: 205
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: male_97
+    label: Males aged 97
+    ordinal: 204
+    row_number: 206
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: male_98
+    label: Males aged 98
+    ordinal: 205
+    row_number: 207
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: male_99
+    label: Males aged 99
+    ordinal: 206
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: male_100
+    label: Males aged 100
+    ordinal: 207
+    row_number: 209
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: male_101
+    label: Males aged 101
+    ordinal: 208
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: male_102
+    label: Males aged 102
+    ordinal: 209
+    row_number: 211
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: male_103
+    label: Males aged 103
+    ordinal: 210
+    row_number: 212
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: male_104
+    label: Males aged 104
+    ordinal: 211
+    row_number: 213
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: male_105 - 109
+    label: Males aged 105 - 109
+    ordinal: 212
+    row_number: 214
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 214
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: male
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: male_110_plus
+    label: Males aged 110 and over
+    ordinal: 213
+    row_number: 215
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 215
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: male
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Projected resident population, 2027
+    ordinal: 0
+    column: F
+    source_column_id: population
+    concept: ons.projected_population_principal
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.npp2024.uk_ppp.population.y2028
+  provenance_class: model_output
+  assertion: source_projection
+  record_set_spec_id: ons.npp2024.uk_ppp.population.y2028.v1
+  source_record_id_prefix: ons.npp2024.uk_ppp.population.y2028
+  sheet_name: Population
+  period_type: calendar_year
+  period: 2028
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: ons.npp_age_sex
+  rows:
+  - value_id: female_0
+    label: Females aged 0
+    ordinal: 0
+    row_number: 2
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: female_1
+    label: Females aged 1
+    ordinal: 1
+    row_number: 3
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: female_2
+    label: Females aged 2
+    ordinal: 2
+    row_number: 4
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: female_3
+    label: Females aged 3
+    ordinal: 3
+    row_number: 5
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: female_4
+    label: Females aged 4
+    ordinal: 4
+    row_number: 6
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: female_5
+    label: Females aged 5
+    ordinal: 5
+    row_number: 7
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: female_6
+    label: Females aged 6
+    ordinal: 6
+    row_number: 8
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: female_7
+    label: Females aged 7
+    ordinal: 7
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: female_8
+    label: Females aged 8
+    ordinal: 8
+    row_number: 10
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: female_9
+    label: Females aged 9
+    ordinal: 9
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: female_10
+    label: Females aged 10
+    ordinal: 10
+    row_number: 12
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: female_11
+    label: Females aged 11
+    ordinal: 11
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: female_12
+    label: Females aged 12
+    ordinal: 12
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: female_13
+    label: Females aged 13
+    ordinal: 13
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: female_14
+    label: Females aged 14
+    ordinal: 14
+    row_number: 16
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: female_15
+    label: Females aged 15
+    ordinal: 15
+    row_number: 17
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: female_16
+    label: Females aged 16
+    ordinal: 16
+    row_number: 18
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: female_17
+    label: Females aged 17
+    ordinal: 17
+    row_number: 19
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: female_18
+    label: Females aged 18
+    ordinal: 18
+    row_number: 20
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: female_19
+    label: Females aged 19
+    ordinal: 19
+    row_number: 21
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: female_20
+    label: Females aged 20
+    ordinal: 20
+    row_number: 22
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: female_21
+    label: Females aged 21
+    ordinal: 21
+    row_number: 23
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: female_22
+    label: Females aged 22
+    ordinal: 22
+    row_number: 24
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: female_23
+    label: Females aged 23
+    ordinal: 23
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: female_24
+    label: Females aged 24
+    ordinal: 24
+    row_number: 26
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: female_25
+    label: Females aged 25
+    ordinal: 25
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: female_26
+    label: Females aged 26
+    ordinal: 26
+    row_number: 28
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: female_27
+    label: Females aged 27
+    ordinal: 27
+    row_number: 29
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: female_28
+    label: Females aged 28
+    ordinal: 28
+    row_number: 30
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: female_29
+    label: Females aged 29
+    ordinal: 29
+    row_number: 31
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: female_30
+    label: Females aged 30
+    ordinal: 30
+    row_number: 32
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: female_31
+    label: Females aged 31
+    ordinal: 31
+    row_number: 33
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: female_32
+    label: Females aged 32
+    ordinal: 32
+    row_number: 34
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: female_33
+    label: Females aged 33
+    ordinal: 33
+    row_number: 35
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: female_34
+    label: Females aged 34
+    ordinal: 34
+    row_number: 36
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: female_35
+    label: Females aged 35
+    ordinal: 35
+    row_number: 37
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: female_36
+    label: Females aged 36
+    ordinal: 36
+    row_number: 38
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: female_37
+    label: Females aged 37
+    ordinal: 37
+    row_number: 39
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: female_38
+    label: Females aged 38
+    ordinal: 38
+    row_number: 40
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: female_39
+    label: Females aged 39
+    ordinal: 39
+    row_number: 41
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: female_40
+    label: Females aged 40
+    ordinal: 40
+    row_number: 42
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: female_41
+    label: Females aged 41
+    ordinal: 41
+    row_number: 43
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: female_42
+    label: Females aged 42
+    ordinal: 42
+    row_number: 44
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: female_43
+    label: Females aged 43
+    ordinal: 43
+    row_number: 45
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: female_44
+    label: Females aged 44
+    ordinal: 44
+    row_number: 46
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: female_45
+    label: Females aged 45
+    ordinal: 45
+    row_number: 47
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: female_46
+    label: Females aged 46
+    ordinal: 46
+    row_number: 48
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: female_47
+    label: Females aged 47
+    ordinal: 47
+    row_number: 49
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: female_48
+    label: Females aged 48
+    ordinal: 48
+    row_number: 50
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: female_49
+    label: Females aged 49
+    ordinal: 49
+    row_number: 51
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: female_50
+    label: Females aged 50
+    ordinal: 50
+    row_number: 52
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: female_51
+    label: Females aged 51
+    ordinal: 51
+    row_number: 53
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: female_52
+    label: Females aged 52
+    ordinal: 52
+    row_number: 54
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: female_53
+    label: Females aged 53
+    ordinal: 53
+    row_number: 55
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: female_54
+    label: Females aged 54
+    ordinal: 54
+    row_number: 56
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: female_55
+    label: Females aged 55
+    ordinal: 55
+    row_number: 57
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: female_56
+    label: Females aged 56
+    ordinal: 56
+    row_number: 58
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: female_57
+    label: Females aged 57
+    ordinal: 57
+    row_number: 59
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: female_58
+    label: Females aged 58
+    ordinal: 58
+    row_number: 60
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: female_59
+    label: Females aged 59
+    ordinal: 59
+    row_number: 61
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: female_60
+    label: Females aged 60
+    ordinal: 60
+    row_number: 62
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: female_61
+    label: Females aged 61
+    ordinal: 61
+    row_number: 63
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: female_62
+    label: Females aged 62
+    ordinal: 62
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: female_63
+    label: Females aged 63
+    ordinal: 63
+    row_number: 65
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: female_64
+    label: Females aged 64
+    ordinal: 64
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: female_65
+    label: Females aged 65
+    ordinal: 65
+    row_number: 67
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: female_66
+    label: Females aged 66
+    ordinal: 66
+    row_number: 68
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: female_67
+    label: Females aged 67
+    ordinal: 67
+    row_number: 69
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: female_68
+    label: Females aged 68
+    ordinal: 68
+    row_number: 70
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: female_69
+    label: Females aged 69
+    ordinal: 69
+    row_number: 71
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: female_70
+    label: Females aged 70
+    ordinal: 70
+    row_number: 72
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: female_71
+    label: Females aged 71
+    ordinal: 71
+    row_number: 73
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: female_72
+    label: Females aged 72
+    ordinal: 72
+    row_number: 74
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: female_73
+    label: Females aged 73
+    ordinal: 73
+    row_number: 75
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: female_74
+    label: Females aged 74
+    ordinal: 74
+    row_number: 76
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: female_75
+    label: Females aged 75
+    ordinal: 75
+    row_number: 77
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: female_76
+    label: Females aged 76
+    ordinal: 76
+    row_number: 78
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: female_77
+    label: Females aged 77
+    ordinal: 77
+    row_number: 79
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: female_78
+    label: Females aged 78
+    ordinal: 78
+    row_number: 80
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: female_79
+    label: Females aged 79
+    ordinal: 79
+    row_number: 81
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: female_80
+    label: Females aged 80
+    ordinal: 80
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: female_81
+    label: Females aged 81
+    ordinal: 81
+    row_number: 83
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: female_82
+    label: Females aged 82
+    ordinal: 82
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: female_83
+    label: Females aged 83
+    ordinal: 83
+    row_number: 85
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: female_84
+    label: Females aged 84
+    ordinal: 84
+    row_number: 86
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: female_85
+    label: Females aged 85
+    ordinal: 85
+    row_number: 87
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: female_86
+    label: Females aged 86
+    ordinal: 86
+    row_number: 88
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: female_87
+    label: Females aged 87
+    ordinal: 87
+    row_number: 89
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: female_88
+    label: Females aged 88
+    ordinal: 88
+    row_number: 90
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: female_89
+    label: Females aged 89
+    ordinal: 89
+    row_number: 91
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: female_90
+    label: Females aged 90
+    ordinal: 90
+    row_number: 92
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: female_91
+    label: Females aged 91
+    ordinal: 91
+    row_number: 93
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: female_92
+    label: Females aged 92
+    ordinal: 92
+    row_number: 94
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: female_93
+    label: Females aged 93
+    ordinal: 93
+    row_number: 95
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: female_94
+    label: Females aged 94
+    ordinal: 94
+    row_number: 96
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: female_95
+    label: Females aged 95
+    ordinal: 95
+    row_number: 97
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: female_96
+    label: Females aged 96
+    ordinal: 96
+    row_number: 98
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: female_97
+    label: Females aged 97
+    ordinal: 97
+    row_number: 99
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: female_98
+    label: Females aged 98
+    ordinal: 98
+    row_number: 100
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: female_99
+    label: Females aged 99
+    ordinal: 99
+    row_number: 101
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: female_100
+    label: Females aged 100
+    ordinal: 100
+    row_number: 102
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: female_101
+    label: Females aged 101
+    ordinal: 101
+    row_number: 103
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: female_102
+    label: Females aged 102
+    ordinal: 102
+    row_number: 104
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: female_103
+    label: Females aged 103
+    ordinal: 103
+    row_number: 105
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: female_104
+    label: Females aged 104
+    ordinal: 104
+    row_number: 106
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: female_105 - 109
+    label: Females aged 105 - 109
+    ordinal: 105
+    row_number: 107
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 107
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: female
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: female_110_plus
+    label: Females aged 110 and over
+    ordinal: 106
+    row_number: 108
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 108
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: female
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  - value_id: male_0
+    label: Males aged 0
+    ordinal: 107
+    row_number: 109
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: male_1
+    label: Males aged 1
+    ordinal: 108
+    row_number: 110
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: male_2
+    label: Males aged 2
+    ordinal: 109
+    row_number: 111
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: male_3
+    label: Males aged 3
+    ordinal: 110
+    row_number: 112
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: male_4
+    label: Males aged 4
+    ordinal: 111
+    row_number: 113
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: male_5
+    label: Males aged 5
+    ordinal: 112
+    row_number: 114
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: male_6
+    label: Males aged 6
+    ordinal: 113
+    row_number: 115
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: male_7
+    label: Males aged 7
+    ordinal: 114
+    row_number: 116
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: male_8
+    label: Males aged 8
+    ordinal: 115
+    row_number: 117
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: male_9
+    label: Males aged 9
+    ordinal: 116
+    row_number: 118
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: male_10
+    label: Males aged 10
+    ordinal: 117
+    row_number: 119
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: male_11
+    label: Males aged 11
+    ordinal: 118
+    row_number: 120
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: male_12
+    label: Males aged 12
+    ordinal: 119
+    row_number: 121
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: male_13
+    label: Males aged 13
+    ordinal: 120
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: male_14
+    label: Males aged 14
+    ordinal: 121
+    row_number: 123
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: male_15
+    label: Males aged 15
+    ordinal: 122
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: male_16
+    label: Males aged 16
+    ordinal: 123
+    row_number: 125
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: male_17
+    label: Males aged 17
+    ordinal: 124
+    row_number: 126
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: male_18
+    label: Males aged 18
+    ordinal: 125
+    row_number: 127
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: male_19
+    label: Males aged 19
+    ordinal: 126
+    row_number: 128
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: male_20
+    label: Males aged 20
+    ordinal: 127
+    row_number: 129
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: male_21
+    label: Males aged 21
+    ordinal: 128
+    row_number: 130
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: male_22
+    label: Males aged 22
+    ordinal: 129
+    row_number: 131
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: male_23
+    label: Males aged 23
+    ordinal: 130
+    row_number: 132
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: male_24
+    label: Males aged 24
+    ordinal: 131
+    row_number: 133
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: male_25
+    label: Males aged 25
+    ordinal: 132
+    row_number: 134
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: male_26
+    label: Males aged 26
+    ordinal: 133
+    row_number: 135
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: male_27
+    label: Males aged 27
+    ordinal: 134
+    row_number: 136
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: male_28
+    label: Males aged 28
+    ordinal: 135
+    row_number: 137
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: male_29
+    label: Males aged 29
+    ordinal: 136
+    row_number: 138
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: male_30
+    label: Males aged 30
+    ordinal: 137
+    row_number: 139
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: male_31
+    label: Males aged 31
+    ordinal: 138
+    row_number: 140
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: male_32
+    label: Males aged 32
+    ordinal: 139
+    row_number: 141
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: male_33
+    label: Males aged 33
+    ordinal: 140
+    row_number: 142
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: male_34
+    label: Males aged 34
+    ordinal: 141
+    row_number: 143
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: male_35
+    label: Males aged 35
+    ordinal: 142
+    row_number: 144
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: male_36
+    label: Males aged 36
+    ordinal: 143
+    row_number: 145
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: male_37
+    label: Males aged 37
+    ordinal: 144
+    row_number: 146
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: male_38
+    label: Males aged 38
+    ordinal: 145
+    row_number: 147
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: male_39
+    label: Males aged 39
+    ordinal: 146
+    row_number: 148
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: male_40
+    label: Males aged 40
+    ordinal: 147
+    row_number: 149
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: male_41
+    label: Males aged 41
+    ordinal: 148
+    row_number: 150
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: male_42
+    label: Males aged 42
+    ordinal: 149
+    row_number: 151
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: male_43
+    label: Males aged 43
+    ordinal: 150
+    row_number: 152
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: male_44
+    label: Males aged 44
+    ordinal: 151
+    row_number: 153
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: male_45
+    label: Males aged 45
+    ordinal: 152
+    row_number: 154
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: male_46
+    label: Males aged 46
+    ordinal: 153
+    row_number: 155
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: male_47
+    label: Males aged 47
+    ordinal: 154
+    row_number: 156
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: male_48
+    label: Males aged 48
+    ordinal: 155
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: male_49
+    label: Males aged 49
+    ordinal: 156
+    row_number: 158
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: male_50
+    label: Males aged 50
+    ordinal: 157
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: male_51
+    label: Males aged 51
+    ordinal: 158
+    row_number: 160
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: male_52
+    label: Males aged 52
+    ordinal: 159
+    row_number: 161
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: male_53
+    label: Males aged 53
+    ordinal: 160
+    row_number: 162
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: male_54
+    label: Males aged 54
+    ordinal: 161
+    row_number: 163
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: male_55
+    label: Males aged 55
+    ordinal: 162
+    row_number: 164
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: male_56
+    label: Males aged 56
+    ordinal: 163
+    row_number: 165
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: male_57
+    label: Males aged 57
+    ordinal: 164
+    row_number: 166
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: male_58
+    label: Males aged 58
+    ordinal: 165
+    row_number: 167
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: male_59
+    label: Males aged 59
+    ordinal: 166
+    row_number: 168
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: male_60
+    label: Males aged 60
+    ordinal: 167
+    row_number: 169
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: male_61
+    label: Males aged 61
+    ordinal: 168
+    row_number: 170
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: male_62
+    label: Males aged 62
+    ordinal: 169
+    row_number: 171
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: male_63
+    label: Males aged 63
+    ordinal: 170
+    row_number: 172
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: male_64
+    label: Males aged 64
+    ordinal: 171
+    row_number: 173
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: male_65
+    label: Males aged 65
+    ordinal: 172
+    row_number: 174
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: male_66
+    label: Males aged 66
+    ordinal: 173
+    row_number: 175
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: male_67
+    label: Males aged 67
+    ordinal: 174
+    row_number: 176
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: male_68
+    label: Males aged 68
+    ordinal: 175
+    row_number: 177
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: male_69
+    label: Males aged 69
+    ordinal: 176
+    row_number: 178
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: male_70
+    label: Males aged 70
+    ordinal: 177
+    row_number: 179
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: male_71
+    label: Males aged 71
+    ordinal: 178
+    row_number: 180
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: male_72
+    label: Males aged 72
+    ordinal: 179
+    row_number: 181
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: male_73
+    label: Males aged 73
+    ordinal: 180
+    row_number: 182
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: male_74
+    label: Males aged 74
+    ordinal: 181
+    row_number: 183
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: male_75
+    label: Males aged 75
+    ordinal: 182
+    row_number: 184
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: male_76
+    label: Males aged 76
+    ordinal: 183
+    row_number: 185
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: male_77
+    label: Males aged 77
+    ordinal: 184
+    row_number: 186
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: male_78
+    label: Males aged 78
+    ordinal: 185
+    row_number: 187
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: male_79
+    label: Males aged 79
+    ordinal: 186
+    row_number: 188
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: male_80
+    label: Males aged 80
+    ordinal: 187
+    row_number: 189
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: male_81
+    label: Males aged 81
+    ordinal: 188
+    row_number: 190
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: male_82
+    label: Males aged 82
+    ordinal: 189
+    row_number: 191
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: male_83
+    label: Males aged 83
+    ordinal: 190
+    row_number: 192
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: male_84
+    label: Males aged 84
+    ordinal: 191
+    row_number: 193
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: male_85
+    label: Males aged 85
+    ordinal: 192
+    row_number: 194
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: male_86
+    label: Males aged 86
+    ordinal: 193
+    row_number: 195
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: male_87
+    label: Males aged 87
+    ordinal: 194
+    row_number: 196
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: male_88
+    label: Males aged 88
+    ordinal: 195
+    row_number: 197
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: male_89
+    label: Males aged 89
+    ordinal: 196
+    row_number: 198
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: male_90
+    label: Males aged 90
+    ordinal: 197
+    row_number: 199
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: male_91
+    label: Males aged 91
+    ordinal: 198
+    row_number: 200
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: male_92
+    label: Males aged 92
+    ordinal: 199
+    row_number: 201
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: male_93
+    label: Males aged 93
+    ordinal: 200
+    row_number: 202
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: male_94
+    label: Males aged 94
+    ordinal: 201
+    row_number: 203
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: male_95
+    label: Males aged 95
+    ordinal: 202
+    row_number: 204
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: male_96
+    label: Males aged 96
+    ordinal: 203
+    row_number: 205
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: male_97
+    label: Males aged 97
+    ordinal: 204
+    row_number: 206
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: male_98
+    label: Males aged 98
+    ordinal: 205
+    row_number: 207
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: male_99
+    label: Males aged 99
+    ordinal: 206
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: male_100
+    label: Males aged 100
+    ordinal: 207
+    row_number: 209
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: male_101
+    label: Males aged 101
+    ordinal: 208
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: male_102
+    label: Males aged 102
+    ordinal: 209
+    row_number: 211
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: male_103
+    label: Males aged 103
+    ordinal: 210
+    row_number: 212
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: male_104
+    label: Males aged 104
+    ordinal: 211
+    row_number: 213
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: male_105 - 109
+    label: Males aged 105 - 109
+    ordinal: 212
+    row_number: 214
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 214
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: male
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: male_110_plus
+    label: Males aged 110 and over
+    ordinal: 213
+    row_number: 215
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 215
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: male
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Projected resident population, 2028
+    ordinal: 0
+    column: G
+    source_column_id: population
+    concept: ons.projected_population_principal
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
+- record_set_id: ons.npp2024.uk_ppp.population.y2029
+  provenance_class: model_output
+  assertion: source_projection
+  record_set_spec_id: ons.npp2024.uk_ppp.population.y2029.v1
+  source_record_id_prefix: ons.npp2024.uk_ppp.population.y2029
+  sheet_name: Population
+  period_type: calendar_year
+  period: 2029
+  geography_id: K02000001
+  geography_level: country
+  geography_name: United Kingdom
+  geography_vintage: gss_2024
+  entity: person
+  entity_role: resident_population
+  domain: resident_population
+  groupby_dimension: ons.npp_age_sex
+  rows:
+  - value_id: female_0
+    label: Females aged 0
+    ordinal: 0
+    row_number: 2
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: female_1
+    label: Females aged 1
+    ordinal: 1
+    row_number: 3
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: female_2
+    label: Females aged 2
+    ordinal: 2
+    row_number: 4
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: female_3
+    label: Females aged 3
+    ordinal: 3
+    row_number: 5
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: female_4
+    label: Females aged 4
+    ordinal: 4
+    row_number: 6
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: female_5
+    label: Females aged 5
+    ordinal: 5
+    row_number: 7
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: female_6
+    label: Females aged 6
+    ordinal: 6
+    row_number: 8
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: female_7
+    label: Females aged 7
+    ordinal: 7
+    row_number: 9
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: female_8
+    label: Females aged 8
+    ordinal: 8
+    row_number: 10
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: female_9
+    label: Females aged 9
+    ordinal: 9
+    row_number: 11
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: female_10
+    label: Females aged 10
+    ordinal: 10
+    row_number: 12
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: female_11
+    label: Females aged 11
+    ordinal: 11
+    row_number: 13
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: female_12
+    label: Females aged 12
+    ordinal: 12
+    row_number: 14
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: female_13
+    label: Females aged 13
+    ordinal: 13
+    row_number: 15
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: female_14
+    label: Females aged 14
+    ordinal: 14
+    row_number: 16
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: female_15
+    label: Females aged 15
+    ordinal: 15
+    row_number: 17
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: female_16
+    label: Females aged 16
+    ordinal: 16
+    row_number: 18
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: female_17
+    label: Females aged 17
+    ordinal: 17
+    row_number: 19
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: female_18
+    label: Females aged 18
+    ordinal: 18
+    row_number: 20
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: female_19
+    label: Females aged 19
+    ordinal: 19
+    row_number: 21
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: female_20
+    label: Females aged 20
+    ordinal: 20
+    row_number: 22
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: female_21
+    label: Females aged 21
+    ordinal: 21
+    row_number: 23
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: female_22
+    label: Females aged 22
+    ordinal: 22
+    row_number: 24
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: female_23
+    label: Females aged 23
+    ordinal: 23
+    row_number: 25
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: female_24
+    label: Females aged 24
+    ordinal: 24
+    row_number: 26
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: female_25
+    label: Females aged 25
+    ordinal: 25
+    row_number: 27
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: female_26
+    label: Females aged 26
+    ordinal: 26
+    row_number: 28
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: female_27
+    label: Females aged 27
+    ordinal: 27
+    row_number: 29
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: female_28
+    label: Females aged 28
+    ordinal: 28
+    row_number: 30
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: female_29
+    label: Females aged 29
+    ordinal: 29
+    row_number: 31
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: female_30
+    label: Females aged 30
+    ordinal: 30
+    row_number: 32
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: female_31
+    label: Females aged 31
+    ordinal: 31
+    row_number: 33
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: female_32
+    label: Females aged 32
+    ordinal: 32
+    row_number: 34
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: female_33
+    label: Females aged 33
+    ordinal: 33
+    row_number: 35
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: female_34
+    label: Females aged 34
+    ordinal: 34
+    row_number: 36
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: female_35
+    label: Females aged 35
+    ordinal: 35
+    row_number: 37
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: female_36
+    label: Females aged 36
+    ordinal: 36
+    row_number: 38
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: female_37
+    label: Females aged 37
+    ordinal: 37
+    row_number: 39
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: female_38
+    label: Females aged 38
+    ordinal: 38
+    row_number: 40
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: female_39
+    label: Females aged 39
+    ordinal: 39
+    row_number: 41
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: female_40
+    label: Females aged 40
+    ordinal: 40
+    row_number: 42
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: female_41
+    label: Females aged 41
+    ordinal: 41
+    row_number: 43
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: female_42
+    label: Females aged 42
+    ordinal: 42
+    row_number: 44
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: female_43
+    label: Females aged 43
+    ordinal: 43
+    row_number: 45
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: female_44
+    label: Females aged 44
+    ordinal: 44
+    row_number: 46
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: female_45
+    label: Females aged 45
+    ordinal: 45
+    row_number: 47
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: female_46
+    label: Females aged 46
+    ordinal: 46
+    row_number: 48
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: female_47
+    label: Females aged 47
+    ordinal: 47
+    row_number: 49
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: female_48
+    label: Females aged 48
+    ordinal: 48
+    row_number: 50
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: female_49
+    label: Females aged 49
+    ordinal: 49
+    row_number: 51
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: female_50
+    label: Females aged 50
+    ordinal: 50
+    row_number: 52
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: female_51
+    label: Females aged 51
+    ordinal: 51
+    row_number: 53
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: female_52
+    label: Females aged 52
+    ordinal: 52
+    row_number: 54
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: female_53
+    label: Females aged 53
+    ordinal: 53
+    row_number: 55
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: female_54
+    label: Females aged 54
+    ordinal: 54
+    row_number: 56
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: female_55
+    label: Females aged 55
+    ordinal: 55
+    row_number: 57
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: female_56
+    label: Females aged 56
+    ordinal: 56
+    row_number: 58
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: female_57
+    label: Females aged 57
+    ordinal: 57
+    row_number: 59
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: female_58
+    label: Females aged 58
+    ordinal: 58
+    row_number: 60
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: female_59
+    label: Females aged 59
+    ordinal: 59
+    row_number: 61
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: female_60
+    label: Females aged 60
+    ordinal: 60
+    row_number: 62
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: female_61
+    label: Females aged 61
+    ordinal: 61
+    row_number: 63
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: female_62
+    label: Females aged 62
+    ordinal: 62
+    row_number: 64
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: female_63
+    label: Females aged 63
+    ordinal: 63
+    row_number: 65
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: female_64
+    label: Females aged 64
+    ordinal: 64
+    row_number: 66
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: female_65
+    label: Females aged 65
+    ordinal: 65
+    row_number: 67
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: female_66
+    label: Females aged 66
+    ordinal: 66
+    row_number: 68
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: female_67
+    label: Females aged 67
+    ordinal: 67
+    row_number: 69
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: female_68
+    label: Females aged 68
+    ordinal: 68
+    row_number: 70
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: female_69
+    label: Females aged 69
+    ordinal: 69
+    row_number: 71
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: female_70
+    label: Females aged 70
+    ordinal: 70
+    row_number: 72
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: female_71
+    label: Females aged 71
+    ordinal: 71
+    row_number: 73
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: female_72
+    label: Females aged 72
+    ordinal: 72
+    row_number: 74
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: female_73
+    label: Females aged 73
+    ordinal: 73
+    row_number: 75
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: female_74
+    label: Females aged 74
+    ordinal: 74
+    row_number: 76
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: female_75
+    label: Females aged 75
+    ordinal: 75
+    row_number: 77
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: female_76
+    label: Females aged 76
+    ordinal: 76
+    row_number: 78
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: female_77
+    label: Females aged 77
+    ordinal: 77
+    row_number: 79
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: female_78
+    label: Females aged 78
+    ordinal: 78
+    row_number: 80
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: female_79
+    label: Females aged 79
+    ordinal: 79
+    row_number: 81
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: female_80
+    label: Females aged 80
+    ordinal: 80
+    row_number: 82
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: female_81
+    label: Females aged 81
+    ordinal: 81
+    row_number: 83
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: female_82
+    label: Females aged 82
+    ordinal: 82
+    row_number: 84
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: female_83
+    label: Females aged 83
+    ordinal: 83
+    row_number: 85
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: female_84
+    label: Females aged 84
+    ordinal: 84
+    row_number: 86
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: female_85
+    label: Females aged 85
+    ordinal: 85
+    row_number: 87
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: female_86
+    label: Females aged 86
+    ordinal: 86
+    row_number: 88
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: female_87
+    label: Females aged 87
+    ordinal: 87
+    row_number: 89
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: female_88
+    label: Females aged 88
+    ordinal: 88
+    row_number: 90
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: female_89
+    label: Females aged 89
+    ordinal: 89
+    row_number: 91
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: female_90
+    label: Females aged 90
+    ordinal: 90
+    row_number: 92
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: female_91
+    label: Females aged 91
+    ordinal: 91
+    row_number: 93
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: female_92
+    label: Females aged 92
+    ordinal: 92
+    row_number: 94
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: female_93
+    label: Females aged 93
+    ordinal: 93
+    row_number: 95
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: female_94
+    label: Females aged 94
+    ordinal: 94
+    row_number: 96
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: female_95
+    label: Females aged 95
+    ordinal: 95
+    row_number: 97
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: female_96
+    label: Females aged 96
+    ordinal: 96
+    row_number: 98
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: female_97
+    label: Females aged 97
+    ordinal: 97
+    row_number: 99
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: female_98
+    label: Females aged 98
+    ordinal: 98
+    row_number: 100
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: female_99
+    label: Females aged 99
+    ordinal: 99
+    row_number: 101
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: female_100
+    label: Females aged 100
+    ordinal: 100
+    row_number: 102
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: female_101
+    label: Females aged 101
+    ordinal: 101
+    row_number: 103
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: female_102
+    label: Females aged 102
+    ordinal: 102
+    row_number: 104
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: female_103
+    label: Females aged 103
+    ordinal: 103
+    row_number: 105
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: female_104
+    label: Females aged 104
+    ordinal: 104
+    row_number: 106
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    filters:
+      sex: female
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: female_105 - 109
+    label: Females aged 105 - 109
+    ordinal: 105
+    row_number: 107
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 107
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: female
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: female_110_plus
+    label: Females aged 110 and over
+    ordinal: 106
+    row_number: 108
+    expected_row_header_column: A
+    expected_row_header: Females
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 108
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: female
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: female
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  - value_id: male_0
+    label: Males aged 0
+    ordinal: 107
+    row_number: 109
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 0
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 0
+      label: age
+  - value_id: male_1
+    label: Males aged 1
+    ordinal: 108
+    row_number: 110
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 1
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 1
+      label: age
+  - value_id: male_2
+    label: Males aged 2
+    ordinal: 109
+    row_number: 111
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 2
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 2
+      label: age
+  - value_id: male_3
+    label: Males aged 3
+    ordinal: 110
+    row_number: 112
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 3
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 3
+      label: age
+  - value_id: male_4
+    label: Males aged 4
+    ordinal: 111
+    row_number: 113
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 4
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 4
+      label: age
+  - value_id: male_5
+    label: Males aged 5
+    ordinal: 112
+    row_number: 114
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 5
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 5
+      label: age
+  - value_id: male_6
+    label: Males aged 6
+    ordinal: 113
+    row_number: 115
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 6
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 6
+      label: age
+  - value_id: male_7
+    label: Males aged 7
+    ordinal: 114
+    row_number: 116
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 7
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 7
+      label: age
+  - value_id: male_8
+    label: Males aged 8
+    ordinal: 115
+    row_number: 117
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 8
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 8
+      label: age
+  - value_id: male_9
+    label: Males aged 9
+    ordinal: 116
+    row_number: 118
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 9
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 9
+      label: age
+  - value_id: male_10
+    label: Males aged 10
+    ordinal: 117
+    row_number: 119
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 10
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 10
+      label: age
+  - value_id: male_11
+    label: Males aged 11
+    ordinal: 118
+    row_number: 120
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 11
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 11
+      label: age
+  - value_id: male_12
+    label: Males aged 12
+    ordinal: 119
+    row_number: 121
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 12
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 12
+      label: age
+  - value_id: male_13
+    label: Males aged 13
+    ordinal: 120
+    row_number: 122
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 13
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 13
+      label: age
+  - value_id: male_14
+    label: Males aged 14
+    ordinal: 121
+    row_number: 123
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 14
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 14
+      label: age
+  - value_id: male_15
+    label: Males aged 15
+    ordinal: 122
+    row_number: 124
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 15
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 15
+      label: age
+  - value_id: male_16
+    label: Males aged 16
+    ordinal: 123
+    row_number: 125
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 16
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 16
+      label: age
+  - value_id: male_17
+    label: Males aged 17
+    ordinal: 124
+    row_number: 126
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 17
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 17
+      label: age
+  - value_id: male_18
+    label: Males aged 18
+    ordinal: 125
+    row_number: 127
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 18
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 18
+      label: age
+  - value_id: male_19
+    label: Males aged 19
+    ordinal: 126
+    row_number: 128
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 19
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 19
+      label: age
+  - value_id: male_20
+    label: Males aged 20
+    ordinal: 127
+    row_number: 129
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 20
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 20
+      label: age
+  - value_id: male_21
+    label: Males aged 21
+    ordinal: 128
+    row_number: 130
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 21
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 21
+      label: age
+  - value_id: male_22
+    label: Males aged 22
+    ordinal: 129
+    row_number: 131
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 22
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 22
+      label: age
+  - value_id: male_23
+    label: Males aged 23
+    ordinal: 130
+    row_number: 132
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 23
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 23
+      label: age
+  - value_id: male_24
+    label: Males aged 24
+    ordinal: 131
+    row_number: 133
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 24
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 24
+      label: age
+  - value_id: male_25
+    label: Males aged 25
+    ordinal: 132
+    row_number: 134
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 25
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 25
+      label: age
+  - value_id: male_26
+    label: Males aged 26
+    ordinal: 133
+    row_number: 135
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 26
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 26
+      label: age
+  - value_id: male_27
+    label: Males aged 27
+    ordinal: 134
+    row_number: 136
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 27
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 27
+      label: age
+  - value_id: male_28
+    label: Males aged 28
+    ordinal: 135
+    row_number: 137
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 28
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 28
+      label: age
+  - value_id: male_29
+    label: Males aged 29
+    ordinal: 136
+    row_number: 138
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 29
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 29
+      label: age
+  - value_id: male_30
+    label: Males aged 30
+    ordinal: 137
+    row_number: 139
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 30
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 30
+      label: age
+  - value_id: male_31
+    label: Males aged 31
+    ordinal: 138
+    row_number: 140
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 31
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 31
+      label: age
+  - value_id: male_32
+    label: Males aged 32
+    ordinal: 139
+    row_number: 141
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 32
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 32
+      label: age
+  - value_id: male_33
+    label: Males aged 33
+    ordinal: 140
+    row_number: 142
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 33
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 33
+      label: age
+  - value_id: male_34
+    label: Males aged 34
+    ordinal: 141
+    row_number: 143
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 34
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 34
+      label: age
+  - value_id: male_35
+    label: Males aged 35
+    ordinal: 142
+    row_number: 144
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 35
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 35
+      label: age
+  - value_id: male_36
+    label: Males aged 36
+    ordinal: 143
+    row_number: 145
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 36
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 36
+      label: age
+  - value_id: male_37
+    label: Males aged 37
+    ordinal: 144
+    row_number: 146
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 37
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 37
+      label: age
+  - value_id: male_38
+    label: Males aged 38
+    ordinal: 145
+    row_number: 147
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 38
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 38
+      label: age
+  - value_id: male_39
+    label: Males aged 39
+    ordinal: 146
+    row_number: 148
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 39
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 39
+      label: age
+  - value_id: male_40
+    label: Males aged 40
+    ordinal: 147
+    row_number: 149
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 40
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 40
+      label: age
+  - value_id: male_41
+    label: Males aged 41
+    ordinal: 148
+    row_number: 150
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 41
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 41
+      label: age
+  - value_id: male_42
+    label: Males aged 42
+    ordinal: 149
+    row_number: 151
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 42
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 42
+      label: age
+  - value_id: male_43
+    label: Males aged 43
+    ordinal: 150
+    row_number: 152
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 43
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 43
+      label: age
+  - value_id: male_44
+    label: Males aged 44
+    ordinal: 151
+    row_number: 153
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 44
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 44
+      label: age
+  - value_id: male_45
+    label: Males aged 45
+    ordinal: 152
+    row_number: 154
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 45
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 45
+      label: age
+  - value_id: male_46
+    label: Males aged 46
+    ordinal: 153
+    row_number: 155
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 46
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 46
+      label: age
+  - value_id: male_47
+    label: Males aged 47
+    ordinal: 154
+    row_number: 156
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 47
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 47
+      label: age
+  - value_id: male_48
+    label: Males aged 48
+    ordinal: 155
+    row_number: 157
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 48
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 48
+      label: age
+  - value_id: male_49
+    label: Males aged 49
+    ordinal: 156
+    row_number: 158
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 49
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 49
+      label: age
+  - value_id: male_50
+    label: Males aged 50
+    ordinal: 157
+    row_number: 159
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 50
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 50
+      label: age
+  - value_id: male_51
+    label: Males aged 51
+    ordinal: 158
+    row_number: 160
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 51
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 51
+      label: age
+  - value_id: male_52
+    label: Males aged 52
+    ordinal: 159
+    row_number: 161
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 52
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 52
+      label: age
+  - value_id: male_53
+    label: Males aged 53
+    ordinal: 160
+    row_number: 162
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 53
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 53
+      label: age
+  - value_id: male_54
+    label: Males aged 54
+    ordinal: 161
+    row_number: 163
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 54
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 54
+      label: age
+  - value_id: male_55
+    label: Males aged 55
+    ordinal: 162
+    row_number: 164
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 55
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 55
+      label: age
+  - value_id: male_56
+    label: Males aged 56
+    ordinal: 163
+    row_number: 165
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 56
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 56
+      label: age
+  - value_id: male_57
+    label: Males aged 57
+    ordinal: 164
+    row_number: 166
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 57
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 57
+      label: age
+  - value_id: male_58
+    label: Males aged 58
+    ordinal: 165
+    row_number: 167
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 58
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 58
+      label: age
+  - value_id: male_59
+    label: Males aged 59
+    ordinal: 166
+    row_number: 168
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 59
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 59
+      label: age
+  - value_id: male_60
+    label: Males aged 60
+    ordinal: 167
+    row_number: 169
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 60
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 60
+      label: age
+  - value_id: male_61
+    label: Males aged 61
+    ordinal: 168
+    row_number: 170
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 61
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 61
+      label: age
+  - value_id: male_62
+    label: Males aged 62
+    ordinal: 169
+    row_number: 171
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 62
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 62
+      label: age
+  - value_id: male_63
+    label: Males aged 63
+    ordinal: 170
+    row_number: 172
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 63
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 63
+      label: age
+  - value_id: male_64
+    label: Males aged 64
+    ordinal: 171
+    row_number: 173
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 64
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 64
+      label: age
+  - value_id: male_65
+    label: Males aged 65
+    ordinal: 172
+    row_number: 174
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 65
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 65
+      label: age
+  - value_id: male_66
+    label: Males aged 66
+    ordinal: 173
+    row_number: 175
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 66
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 66
+      label: age
+  - value_id: male_67
+    label: Males aged 67
+    ordinal: 174
+    row_number: 176
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 67
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 67
+      label: age
+  - value_id: male_68
+    label: Males aged 68
+    ordinal: 175
+    row_number: 177
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 68
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 68
+      label: age
+  - value_id: male_69
+    label: Males aged 69
+    ordinal: 176
+    row_number: 178
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 69
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 69
+      label: age
+  - value_id: male_70
+    label: Males aged 70
+    ordinal: 177
+    row_number: 179
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 70
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 70
+      label: age
+  - value_id: male_71
+    label: Males aged 71
+    ordinal: 178
+    row_number: 180
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 71
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 71
+      label: age
+  - value_id: male_72
+    label: Males aged 72
+    ordinal: 179
+    row_number: 181
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 72
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 72
+      label: age
+  - value_id: male_73
+    label: Males aged 73
+    ordinal: 180
+    row_number: 182
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 73
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 73
+      label: age
+  - value_id: male_74
+    label: Males aged 74
+    ordinal: 181
+    row_number: 183
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 74
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 74
+      label: age
+  - value_id: male_75
+    label: Males aged 75
+    ordinal: 182
+    row_number: 184
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 75
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 75
+      label: age
+  - value_id: male_76
+    label: Males aged 76
+    ordinal: 183
+    row_number: 185
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 76
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 76
+      label: age
+  - value_id: male_77
+    label: Males aged 77
+    ordinal: 184
+    row_number: 186
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 77
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 77
+      label: age
+  - value_id: male_78
+    label: Males aged 78
+    ordinal: 185
+    row_number: 187
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 78
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 78
+      label: age
+  - value_id: male_79
+    label: Males aged 79
+    ordinal: 186
+    row_number: 188
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 79
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 79
+      label: age
+  - value_id: male_80
+    label: Males aged 80
+    ordinal: 187
+    row_number: 189
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 80
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 80
+      label: age
+  - value_id: male_81
+    label: Males aged 81
+    ordinal: 188
+    row_number: 190
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 81
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 81
+      label: age
+  - value_id: male_82
+    label: Males aged 82
+    ordinal: 189
+    row_number: 191
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 82
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 82
+      label: age
+  - value_id: male_83
+    label: Males aged 83
+    ordinal: 190
+    row_number: 192
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 83
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 83
+      label: age
+  - value_id: male_84
+    label: Males aged 84
+    ordinal: 191
+    row_number: 193
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 84
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 84
+      label: age
+  - value_id: male_85
+    label: Males aged 85
+    ordinal: 192
+    row_number: 194
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 85
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 85
+      label: age
+  - value_id: male_86
+    label: Males aged 86
+    ordinal: 193
+    row_number: 195
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 86
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 86
+      label: age
+  - value_id: male_87
+    label: Males aged 87
+    ordinal: 194
+    row_number: 196
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 87
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 87
+      label: age
+  - value_id: male_88
+    label: Males aged 88
+    ordinal: 195
+    row_number: 197
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 88
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 88
+      label: age
+  - value_id: male_89
+    label: Males aged 89
+    ordinal: 196
+    row_number: 198
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 89
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 89
+      label: age
+  - value_id: male_90
+    label: Males aged 90
+    ordinal: 197
+    row_number: 199
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 90
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 90
+      label: age
+  - value_id: male_91
+    label: Males aged 91
+    ordinal: 198
+    row_number: 200
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 91
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 91
+      label: age
+  - value_id: male_92
+    label: Males aged 92
+    ordinal: 199
+    row_number: 201
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 92
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 92
+      label: age
+  - value_id: male_93
+    label: Males aged 93
+    ordinal: 200
+    row_number: 202
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 93
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 93
+      label: age
+  - value_id: male_94
+    label: Males aged 94
+    ordinal: 201
+    row_number: 203
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 94
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 94
+      label: age
+  - value_id: male_95
+    label: Males aged 95
+    ordinal: 202
+    row_number: 204
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 95
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 95
+      label: age
+  - value_id: male_96
+    label: Males aged 96
+    ordinal: 203
+    row_number: 205
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 96
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 96
+      label: age
+  - value_id: male_97
+    label: Males aged 97
+    ordinal: 204
+    row_number: 206
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 97
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 97
+      label: age
+  - value_id: male_98
+    label: Males aged 98
+    ordinal: 205
+    row_number: 207
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 98
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 98
+      label: age
+  - value_id: male_99
+    label: Males aged 99
+    ordinal: 206
+    row_number: 208
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 99
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 99
+      label: age
+  - value_id: male_100
+    label: Males aged 100
+    ordinal: 207
+    row_number: 209
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 100
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 100
+      label: age
+  - value_id: male_101
+    label: Males aged 101
+    ordinal: 208
+    row_number: 210
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 101
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 101
+      label: age
+  - value_id: male_102
+    label: Males aged 102
+    ordinal: 209
+    row_number: 211
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 102
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 102
+      label: age
+  - value_id: male_103
+    label: Males aged 103
+    ordinal: 210
+    row_number: 212
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 103
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 103
+      label: age
+  - value_id: male_104
+    label: Males aged 104
+    ordinal: 211
+    row_number: 213
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    filters:
+      sex: male
+      age: 104
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 104
+      label: age
+  - value_id: male_105 - 109
+    label: Males aged 105 - 109
+    ordinal: 212
+    row_number: 214
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 214
+      expected_value: 105 - 109
+      label: age label
+    filters:
+      sex: male
+      age: 105 - 109
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 105 - 109
+      label: age
+  - value_id: male_110_plus
+    label: Males aged 110 and over
+    ordinal: 213
+    row_number: 215
+    expected_row_header_column: A
+    expected_row_header: Males
+    table_record_kind: detail
+    guard_cells:
+    - column: B
+      row: 215
+      expected_value: 110 and over
+      label: age label
+    filters:
+      sex: male
+      age: 110_plus
+    constraints:
+    - variable: sex
+      operator: ==
+      value: male
+      label: sex
+    - variable: age
+      operator: ==
+      value: 110_plus
+      label: age
+  measures:
+  - measure_id: population
+    label: Projected resident population, 2029
+    ordinal: 0
+    column: H
+    source_column_id: population
+    concept: ons.projected_population_principal
+    unit: count
+    aggregation: sum
+    expected_cell_type: number
diff --git a/tests/test_ledger_bundle.py b/tests/test_ledger_bundle.py
index 13a41f3..ea77529 100644
--- a/tests/test_ledger_bundle.py
+++ b/tests/test_ledger_bundle.py
@@ -27,16 +27,16 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path):
         "aggregate_duplicate_key_count": 0,
         "entity_count": 8,
         "error_count": 0,
-        "fact_count": 39219,
-        "geography_count": 1053,
-        "period_count": 16,
+        "fact_count": 42895,
+        "geography_count": 1065,
+        "period_count": 19,
         "semantic_duplicate_key_count": 12,
         "skipped_source_count": 10,
         "source_count": 29,
-        "source_package_count": 60,
+        "source_package_count": 64,
         "warning_count": 1,
     }
-    assert len(rows) == 39219
+    assert len(rows) == 42895
     assert {row["provenance_class"] for row in rows} <= {
         "administrative",
         "census",
@@ -54,7 +54,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path):
     )
     assert rows[0]["aggregate_fact_key"].startswith("ledger.aggregate_fact.v2:")
     assert rows[0]["semantic_fact_key"].startswith("ledger.semantic_fact.v2:")
-    assert source_packages["source_package_count"] == 60
+    assert source_packages["source_package_count"] == 64
     assert source_packages["skipped_source_count"] == 10
     assert sorted(item["source"] for item in source_packages["skipped_sources"]) == [
         "census-acs-s0101-congressional-district-age-2024",
@@ -68,7 +68,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path):
         "jct-obbba-revenue-estimates-2025",
         "jct-tax-expenditures-2024",
     ]
-    assert coverage["fact_count"] == 39219
+    assert coverage["fact_count"] == 42895
     assert coverage["counts"]["by_source"] == {
         "bea": 445,
         "bfp_economic_outlook": 5,
@@ -89,7 +89,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path):
         "jrc_euromod_be": 18,
         "kff": 52,
         "nbb_national_accounts": 1,
-        "ons": 1246,
+        "ons": 4922,
         "onem_rva_unemployment": 1,
         "onss_contributions": 1,
         "opgroeien_groeipakket": 11,
@@ -101,7 +101,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path):
         "usda_snap": 216,
     }
     table_counts = coverage["counts"]["by_source_table"]
-    assert len(table_counts) == 55
+    assert len(table_counts) == 59
     assert table_counts["irs_soi:Congressional District Data 2022"] == 26880
     assert (
         table_counts[