United Kingdom population data

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the United Kingdom: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Office for National Statistics' national and subnational Census 2021. Country of birth (detailed) This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their country of birth. The estimates are as at Census Day, 21 March 2021.  Country of birth definition: The country in which a person was born. For people not born in one of in the four parts of the UK, there was an option to select 'elsewhere'. People who selected 'elsewhere' were asked to write in the current name for their country of birth. Comparability with 2011: Broadly comparable. We have changed some categories to make them more consistent with country classifications used in other national statistics. This data is issued at (BGC) Generalised (20m) boundary type for: Country - England and Wales Region - England UTLA - England and Wales LTLA - England and Wales If you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com. The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system. Read more about the NDS.

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Intermediate zone centroids are point features that represent the population weighted centre of intermediate zones – the geography used for the dissemination of small area statistics in Scotland when results are unsuitable for release at data zone level. These centroids are used to link intermediate zones to other (higher level) geographies and produce a 'best-fit' match. Intermediate zones can then be aggregated to approximate this larger area of interest or higher level geography that statistics wouldn’t normally be available for. Intermediate zones represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. This dataset represents the intermediate zones that were created following the 2022 Census, with 1,334 intermediate zones covering the whole of Scotland.

Intermediate zones are a statistical geography that sit between data zones and local authorities, created for use with the Scottish Neighbourhood Statistics (SNS) programme (now known as statistics.gov.scot) and the wider public sector. Intermediate zones are used for the dissemination of statistics that are not suitable for release at the data zone level because of the sensitive nature of the statistic, or for reasons of reliability. Intermediate Zones were designed to meet constraints on population thresholds (2,500 - 6,000 household residents), to nest within local authorities (at the time of the Census), and to be built up from aggregates of data zones. Intermediate zones represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. This dataset represents the intermediate zones that were created following the 2022 Census, with 1,334 intermediate zones covering the whole of Scotland.

The Scottish Government's Urban Rural Classification provides a consistent way of defining urban and rural areas across Scotland. The classification is used to support policy development and the understanding of issues facing urban, rural and remote communities. It is based upon two main criteria: (i) population as defined by National Records of Scotland (NRS), and (ii) accessibility based on drive time analysis to differentiate between accessible and remote areas in Scotland. The classification can be analysed in a two, three, six or eight fold form. The two-fold classification simply distinguishes between urban and rural areas through two categories, urban and rural, while the three-fold classification splits the rural category between accessible and remote. Most commonly used is the 6-fold classification which distinguishes between urban, rural, and remote areas through six categories. The 8-fold classification further distinguishes between remote and very remote regions. The Classification is normally updated on a biennial basis, with the current dataset reflective of the year 2022. Data for previous versions are available for download in ESRI Shapefile format.

Data Zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public sector. Composed of groups of Census Output Areas, Data Zones are large enough that statistics can be presented accurately without fear of disclosure and yet small enough that they can be used to represent communities. They are designed to have roughly standard populations of 500 to 1,000 household residents, nest within local authorities (at the time of the Census), and have compact shapes that respect physical boundaries where possible. When Data Zones were originally created for the 2001 Census, they were designed to contain households with similar social characteristics. Aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available. Data Zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to Data Zones using 2022 Census data, there are now 7,392 Data Zones covering the whole of Scotland.

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

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A gridded raster showing the spatial distribution of population in the United Kingdom for 2020. Each cell value represents the estimated number of people in that location. Published by WorldPop (University of Southampton).

Gridded raster of the spatial distribution of population in the United Kingdom for 2020. Cell values represent population counts. Published by WorldPop (University of Southampton).

A gridded raster of population distribution for the United Kingdom of Great Britain and Northern Ireland, published by WorldPop (University of Southampton). Each cell holds a population value for its location, with the data dated to 2030.

Gridded raster of population distribution for the United Kingdom of Great Britain and Northern Ireland, with cell values measuring population. Published by WorldPop (University of Southampton), the data cover the year 2030.