{
  "class": "dataset",
  "dimension": {
    "STATISTIC": {
      "category": {
        "index": [
          "PopDen"
        ],
        "label": {
          "PopDen": "Population density"
        },
        "unit": {
          "PopDen": {
            "decimals": 1,
            "label": "Number",
            "position": "end"
          }
        }
      },
      "label": "Statistic"
    },
    "TLIST(A1)": {
      "category": {
        "index": [
          "2021",
          "2022",
          "2023",
          "2024"
        ],
        "label": {
          "2021": "2021",
          "2022": "2022",
          "2023": "2023",
          "2024": "2024"
        }
      },
      "label": "Year"
    },
    "AA2024": {
      "category": {
        "index": [
          "N05000001",
          "N05000002",
          "N05000003",
          "N05000004",
          "N05000005",
          "N05000006",
          "N05000007",
          "N05000008",
          "N05000009",
          "N05000010",
          "N05000011",
          "N05000012",
          "N05000013",
          "N05000014",
          "N05000015",
          "N05000016",
          "N05000017",
          "N05000018",
          "N92000002"
        ],
        "label": {
          "N05000001": "Belfast East",
          "N05000002": "Belfast North",
          "N05000003": "Belfast South and Mid Down",
          "N05000004": "Belfast West",
          "N05000005": "East Antrim",
          "N05000006": "East Londonderry",
          "N05000007": "Fermanagh and South Tyrone",
          "N05000008": "Foyle",
          "N05000009": "Lagan Valley",
          "N05000010": "Mid Ulster",
          "N05000011": "Newry and Armagh",
          "N05000012": "North Antrim",
          "N05000013": "North Down",
          "N05000014": "South Antrim",
          "N05000015": "South Down",
          "N05000016": "Strangford",
          "N05000017": "Upper Bann",
          "N05000018": "West Tyrone",
          "N92000002": "Northern Ireland"
        }
      },
      "label": "Assembly Area (2024)",
      "link": {
        "enclosure": [
          {
            "type": "application/geo+json",
            "href": "https://ws-data.nisra.gov.uk/public/api.static/PxStat.Data.GeoMap_API.Read/1f52886d97fa83e591e53113149373a2"
          }
        ]
      }
    }
  },
  "extension": {
    "matrix": "PD01T03",
    "language": {
      "code": "en",
      "name": "English"
    },
    "elimination": {
      "AA2024": null
    },
    "contact": {
      "name": "Population Statistics",
      "email": "census@nisra.gov.uk",
      "phone": "+44 (0)28 90255156"
    },
    "subject": {
      "code": 153,
      "value": "Population and migration"
    },
    "product": {
      "code": "PMPD",
      "value": "Population densities"
    },
    "official": true,
    "copyright": {
      "name": "Crown Copyright",
      "code": "NISRA",
      "href": "https://www.nisra.gov.uk/crown-copyright"
    },
    "exceptional": false,
    "reservation": false,
    "archive": false,
    "experimental": false,
    "analytical": false
  },
  "href": "https://ws-data.nisra.gov.uk/public/api.restful/PxStat.Data.Cube_API.ReadDataset/PD01T03/PX/2013/en",
  "id": [
    "STATISTIC",
    "TLIST(A1)",
    "AA2024"
  ],
  "label": "Population densities",
  "link": {
    "alternate": [
      {
        "type": "text/csv",
        "href": "https://ws-data.nisra.gov.uk/public/api.restful/PxStat.Data.Cube_API.ReadDataset/PD01T03/CSV/1.0/en"
      },
      {
        "type": "application/json",
        "href": "https://ws-data.nisra.gov.uk/public/api.restful/PxStat.Data.Cube_API.ReadDataset/PD01T03/JSON-stat/2.0/en"
      },
      {
        "type": "application/json",
        "href": "https://ws-data.nisra.gov.uk/public/api.restful/PxStat.Data.Cube_API.ReadDataset/PD01T03/JSON-stat/1.0/en"
      },
      {
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        "href": "https://ws-data.nisra.gov.uk/public/api.restful/PxStat.Data.Cube_API.ReadDataset/PD01T03/XLSX/2007/en"
      }
    ]
  },
  "note": [
    "[b]Description of Data[/b]\r\nPopulation densities for the Parliamentary Constituencies (2024) and the Health and Social Care Trusts in Northern Ireland were published on 11th December 2025.\r\n\r\nNotes:\r\n1. Population density refers to the number of persons per square kilometre.\r\n2. Northern Ireland Statistics and Research Agency has produced an estimated land area for Northern Ireland (NI) of 13,547 square kilometres, based on detailed spatial mapping data provided by Ordnance Survey NI (OSNI), namely OSNI Fusion and OSNI Largescale. This estimated area follows the international guidelines for Standard Area Measurements (SAM), with regard to, for example, dealing with areas of inland water. This estimate may differ from those published previously because of actual changes in land area (for example,\r\nreclaimed land) and more accurate GIS analyses of the land area. The NI population density over time is based on the best estimate of the land area available at the time. [url=https://geoportal.statistics.gov.uk/]Further details are available in the SAM User Guide published annually by Office for National Statistics on the Open Geography Portal.[/url]\r\n\r\n[b]Time Period[/b]\r\nEstimates are provided for mid-2021 to mid-2024.\r\n\r\n[b]Methodology[/b]\r\nThe population estimates for small geographical areas are created from an average of two statistical methods: \r\nthe ratio change and cohort-component methods. The ratio change method applies the change in secondary (typically administrative) data sources to Census estimates. The 2024 small geographical area estimates use a single statistical dataset which has been created by amalgamating a series of different administrative data sources. This statistical dataset is a de-duplicated admin based estimate for the usually resident population of NI. The cohort-component method updates the Census estimates by ‘ageing on’ populations and applying information on births, deaths and migration. An average of both methods is taken and constrained to the published population figures. Further information is available at:\r\n[url=https://www.nisra.gov.uk/publications/2024-mid-year-population-estimates-northern-ireland-and-estimates-population-aged-85]NISRA 2024 Mid-year Population Estimates webpage[/url]\r\n\r\n[b]Geographic Referencing[/b]\r\nPopulation Estimates are based on a large number of secondary datasets. Where the full address was available, the Pointer Address database was used to allocate a unique property reference number (UPRN) and geo-spatial co-ordinates to each home address. These can then be used to map the address to particular geographies. Where it was not possible to assign a unique property reference number to an address using the Pointer database, or where the secondary dataset contained only postcode information, the Central Postcode Directory was used to map home address postcodes to higher geographies. A small proportion of records with unknown geography were apportioned based on the spatial characteristics of known records. \r\n\r\n[b]Further Information[/b]\r\nThe next estimates of the population for Northern Ireland will be released later in 2026.\r\n\r\nContact: Census Customer Services\r\n02890 255156\r\n[url=mailto:census@nisra.gov.uk]census@nisra.gov.uk[/url]\r\nResponsible Statistician: Catherine O'Donnell"
  ],
  "role": {
    "geo": [
      "AA2024"
    ],
    "metric": [
      "STATISTIC"
    ],
    "time": [
      "TLIST(A1)"
    ]
  },
  "size": [
    1,
    4,
    19
  ],
  "updated": "2026-05-06T9:30:00.000Z",
  "value": [
    1908.2,
    2079.8,
    1010.1,
    2631.9,
    116.5,
    80.1,
    47.0,
    808.6,
    230.8,
    89.3,
    122.1,
    91.6,
    831.5,
    168.2,
    94.6,
    155.5,
    365.3,
    47.2,
    140.6,
    1911.1,
    2093.7,
    1022.9,
    2643.7,
    116.7,
    79.9,
    47.0,
    809.6,
    231.8,
    89.7,
    122.5,
    91.5,
    832.2,
    168.8,
    94.9,
    156.1,
    367.2,
    47.2,
    141.0,
    1922.6,
    2109.8,
    1041.1,
    2633.3,
    117.2,
    80.0,
    47.2,
    811.8,
    232.6,
    90.0,
    122.9,
    92.1,
    834.1,
    170.2,
    95.4,
    157.2,
    370.6,
    47.3,
    141.8,
    1928.8,
    2123.9,
    1052.0,
    2641.6,
    117.0,
    80.4,
    47.3,
    823.6,
    233.5,
    90.5,
    122.8,
    92.1,
    836.3,
    171.2,
    95.2,
    157.2,
    372.9,
    47.4,
    142.3
  ],
  "version": "2.0"
}