Land area (sq. km) in United Kingdom was reported at 241930 sq. Km in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United Kingdom - Land area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

United Kingdom UK: Population Density: People per Square Km data was reported at 272.898 Person/sq km in 2017. This records an increase from the previous number of 271.134 Person/sq km for 2016. United Kingdom UK: Population Density: People per Square Km data is updated yearly, averaging 235.922 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 272.898 Person/sq km in 2017 and a record low of 218.245 Person/sq km in 1961. United Kingdom UK: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

As of 2024, the population density in London was by far the highest number of people per square km in the UK, at *****. Of the other regions and countries which constitute the United Kingdom, North West England was the next most densely populated area at *** people per square kilometer. Scotland, by contrast, is the most sparsely populated country or region in the United Kingdom, with only ** people per square kilometer. Countries, regions, and cities In 2024, the population of the United Kingdom reached **** million. The majority of people in the UK live in England, which had a population of **** million that year, followed by Scotland at *** million, Wales at **** million and finally Northern Ireland at just over *** million. Within England, the South East was the region with the highest population at almost *** million, followed by London at just over *****million. In terms of cities, London is the largest urban agglomeration in the United Kingdom, followed by Manchester, and then Birmingham, although both these cities combined would still have a smaller population than the UK capital. London calling London's huge size in relation to other UK cities is also reflected by its economic performance. In 2023, London's GDP was over ****billion British pounds, around a quarter of UK's overall GDP. In terms of GDP per capita, Londoners had a GDP per head of ****** pounds, compared with an average of ****** for the country as a whole. Productivity, expressed as by output per hour worked, was also far higher in London than the rest of the country. In 2023, London was around *****percent more productive than the rest of the country, with South East England the only other region where productivity was higher than the national average.

Actual value and historical data chart for United Kingdom Agricultural Land Sq Km

Graph and download economic data for Geographical Outreach: Key Indicators ATMs Per 1000 Km2 for United Kingdom (GBRFCAKNUM) from 2005 to 2023 about ATM, United Kingdom, banks, and depository institutions.

This zip file contains the Standard Area Measurements (SAM) for the administrative areas in the United Kingdom as at 31 December 2022. This includes the wards, local authority districts, counties and regions in England and the countries. All measurements provided are ‘flat’ as they do not take into account variations in relief e.g. mountains and valleys. Measurements are given in hectares (10,000 square metres) to 2 decimal places. Four types of measurements are included: total extent (AREAEHECT), area to mean high water (coastline) (AREACHECT), area of inland water (AREAIHECT) and area to mean high water excluding area of inland water (land area) (AREALHECT). The Eurostat-recommended approach is to use the ‘land area’ measurement to compile population density figures.Change in the ward name W05001063 Pontlliew and Tircoed should have been called Pontlliw and Tircoed and we have made that change.This is a version 2 of the data as there was an error in the calculation of the Local Authorities, Counties, Regions, and CountriesClick the Download button to download the files

Graph and download economic data for Geographical Outreach: Key Indicators Commercial Bank Branches Per 1000 Km2 for United Kingdom (GBRFCBODCKNUM) from 2004 to 2013 about branches, United Kingdom, banks, and depository institutions.

This is a web map service (WMS) of Digital Surface Model (DSM) data in South West England at a 1m resolution. The DSM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.

1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.

Virgin Islands (British) VG: Population Density: People per Square Km data was reported at 207.480 Person/sq km in 2021. This records an increase from the previous number of 206.067 Person/sq km for 2020. Virgin Islands (British) VG: Population Density: People per Square Km data is updated yearly, averaging 107.267 Person/sq km from Dec 1961 (Median) to 2021, with 61 observations. The data reached an all-time high of 207.480 Person/sq km in 2021 and a record low of 52.567 Person/sq km in 1961. Virgin Islands (British) VG: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Virgin Islands (British) – Table VG.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.;Food and Agriculture Organization and World Bank population estimates.;Weighted average;

Coastal wetlands, such as saltmarshes, are globally widespread and highly effective at capturing and storing ‘blue carbon’ and have the potential to regulate climate over varying timescales. Yet only Australia and the United States of America have national inventories of organic carbon held within saltmarsh habitats, hindering the development of policies and management strategies to protect and preserve these organic carbon stores. Here we couple a new observational dataset with 4,797 samples from 26 saltmarshes across Great Britain to spatially model organic carbon stored in the soil and the above and belowground biomass of Great British saltmarshes. Using average values derived from the 26 marshes, we deliver first-order estimates of organic carbon stocks across Great Britain’s 448 saltmarshes (451.66 km2). The saltmarshes of Great Britain contain 5.20 ± 0.65 Mt of organic carbon, 93% of which is in the soil. On average, the saltmarshes store 11.55 ± 1.56 kg C m-2 with values ranging between 2.24 kg C m-2 and 40.51 kg C m-2 depending on interlinked factors such as geomorphology, organic carbon source, sediment type (mud vs sand), sediment supply, and relative sea level history. These findings affirm that saltmarshes represent the largest intertidal blue carbon store in Great Britain, yet remain an unaccounted for component of the United Kingdom’s natural carbon stores.

This zip file contains the Standard Area Measurements (SAM) for the 2021 Statistical Areas in England and Wales as at Census Day (21 March 2021). This includes the Output Areas (OA), Lower layer Super Output Areas (LSOA), Middle layer Super Output Areas (MSOA), the Lower-Tier Local Authorities (LTLA) including the Unitary Authorities (E06 and W06), Non-metropolitan Districts (E07), Metropolitan Districts (E08) and London Boroughs (E09), the Upper-Tier Local Authorities (UTLA) including the Unitary Authorities (E06 and W06), Counties (E10), Metropolitan Districts (E08) and London Boroughs (E09), the Regions including the country of Wales, Countries and National. All measurements provided are ‘flat’ as they do not take into account variations in relief e.g. mountains and valleys. Measurements are given in hectares (10,000 square metres) to 2 decimal places and square kilometres to 4 decimal places. Four types of measurements are included: total extent (AREAEHECT), area to mean high water (coastline) (AREACHECT), area of inland water (AREAIHECT) and area to mean high water excluding area of inland water (land area) (AREALHECT). The Eurostat-recommended approach is to use the ‘land area’ measurement to compile population density figures.This V2 is because the user guide name was too long.PLEASE NOTE:There is an extremely small OA with the code E00187556 and measures 400 centimetres squared. This is because all the population and household points are centred around a very small space and to make sure it was in threshold it was manually changed to make it within threshold.Click the Download button to download the files

What does the data show?

Railway lines per area (m/km2) from the UK Climate Resilience Programme UK-SSPs project. The data is available for each Office for National Statistics Local Authority District (ONS LAD) shape simplified to a 10m resolution.

The data is available for the end of each decade. This dataset contains SSP1, SSP2, SSP3, SSP4 and SSP5. For more information see the table below.

Indicator

Rail Infrastructure

Metric

Railway lines per area

Unit

m/km2

Spatial Resolution

LAD

Temporal Resolution

Decadal

Sectoral Categories

N/A

Baseline Data Source

WFP 2014

Projection Trend Source

Stakeholder process

What are the naming conventions and how do I explore the data?

This data contains a field for the year at the end of each decade. A separate field for 'Scenario' allows the data to be filtered, e.g. by scenario 'SSP3'.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Please note, if viewing in ArcGIS Map Viewer, the map will default to 2020 values.

What are Shared Socioeconomic Pathways (SSPs)?

The global SSPs, used in Intergovernmental Panel on Climate Change (IPCC) assessments, are five different storylines of future socioeconomic circumstances, explaining how the global economy and society might evolve over the next 80 years. Crucially, the global SSPs are independent of climate change and climate change policy, i.e. they do not consider the potential impact climate change has on societal and economic choices.

Instead, they are designed to be coupled with a set of future climate scenarios, the Representative Concentration Pathways or ‘RCPs’. When combined together within climate research (in any number of ways), the SSPs and RCPs can tell us how feasible it would be to achieve different levels of climate change mitigation, and what challenges to climate change mitigation and adaptation might exist.

Until recently, UK-specific versions of the global SSPs were not available to combine with the RCP-based climate projections. The aim of the UK-SSPs project was to fill this gap by developing a set of socioeconomic scenarios for the UK that is consistent with the global SSPs used by the IPCC community, and which will provide the basis for further UK research on climate risk and resilience.

Useful links:

Further information on the UK SSPs can be found on the UK SSP project site and in this storymap. Further information on RCP scenarios, SSPs and understanding climate data within the Met Office Climate Data Portal

Data describing the aerial abundance of insect over the United Kingdom from 2015-2022. Includes code produced for the manuscript: O'Connell-Booth, R., et al. (2025) No effect of agri-environment schemes on radar-measured aerial insect abundance at landscape scale in England.Abstract: Agri-environment schemes (AES) commonly represent the largest financial investment in biodiversity conservation at a national or international level, but evidence these interventions are effective remains equivocal. Here, we develop a novel and general method for assessing the impact of conservation interventions using Weather Surveillance Radar (WSR) to produce spatially explicit time series of aerial insect abundance over 21,000 km2 of England from 2015-2022. Using this dataset, we evaluated the landscape-scale causal effect of AES across 15 natural experiments involving paired AES and control sites. We adapt methods from the difference in differences literature to analyse these natural experiments using a matched dynamic BACI design, new to conservation science and ecology. We find no natural experiment which indicates a positive causal effect of AES, even at high levels of expenditure (ranging from £34 km-2 to £5122 km-2). When considering all 1884 km2 of agricultural land in England covered by the radar, we find a weak but significant negative correlation between AES and aerial insect abundance, corresponding to 0.289% fewer insects per £1,000 of AES expenditure. We find stronger, positive relationships between insect numbers of the percentage cover of woodland and semi-natural grassland. Our results provide the most robust evaluation of the benefits of AES and indicate that AES are not working to conserve aerial insects, as measured by WSR. We demonstrate the utility of landscape-scale conservation impact assessment using WSR-measured insect abundance paired with econometric impact assessment designs, a technique broadly applicable to problems in insect conservation science.

英国：人口密度：每平方公里人口在12-01-2017达272.898Person/sq km，相较于12-01-2016的271.134Person/sq km有所增长。英国：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为235.922Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达272.898Person/sq km，而历史最低值则出现于12-01-1961，为218.245Person/sq km。CEIC提供的英国：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的英国 – Table UK.World Bank.WDI：人口和城市化进程统计。

Reino Unido: Superficie forestal, km2: Para ese indicador, proporcionamos datos para Reino Unido de 1990 a 2023. El valor medio para Reino Unido durante ese período fue de 30210.4 sq. km con un mínimo de 27780 sq. km en 1990 y un máximo de 32154.2 sq. km en 2023. El último dato de 2023 es 32154.2 sq. km. A modo de comparación, el promedio mundial en 2023 basado en 194 países es de 207390.9 sq. km.

point samples - up to 4 points/km2 Map covers England, Wales and Scotland. Fixed depth sampling - 5-20cm. A 1:50,000 vector map is available under licence

This dataset shows the variation of the thickness of superficial (Quaternary age) deposits across Great Britain. The data are presented as a vector map of interlocking hexagon cells (side length 1 km, area c. 2.6 km2) covering the landmass of Great Britain as a regular grid. Each hexagon cell is attributed with statistics about the thickness of the underlying Quaternary units (average thickness and maximum thickness) for that cell. Additional information relating to the coverage of the underpinning data is also provided. The data are derived from the BGS Basic Superficial Thickness Model (BSTM). The data is all derived by spatially summarising the information within the BGS Basic Superficial Thickness Model (BSTM), which is a 50 m cell size raster model of superficial thickness, first published in 2010.

Two datasets provide geographic, land use and population data for US Counties within the contiguous US. Land area, water area, cropland area, farmland area, pastureland area and idle cropland area are given along with latitude and longitude of the county centroid and the county population. Variables in this dataset come from the US Dept. of Agriculture (USDA) Natural Resources Conservation Service (NRCS) and the US Census Bureau.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

US County Data Datasets:

1) Agricultural Management 2) Crop Data (NASS Crop data) 3) Crop Summary (NASS Crop data) 4) Geography and Population 5) Land Use 6) Livestock Populations 7) Soil Properties

The data consists of a matrix of 12 land cover classes by 20 stream sites with the area of each land cover class given in km2. The areal coverage (km2) of each of 12 land cover classes was recorded for each of 20 chalkstream catchments in southern England. The 20 discrete chalkstream catchments are distributed along the white chalk geology extending from Dorset in the south west, through Wiltshire, to Hampshire in the north east, to cover a gradient of catchment land cover intensification from extensive calcareous grassland and woodland through to arable and improved grasslands. These data were acquired in July 2012. This dataset was created as part of work package 3.1 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99