WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
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Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Central Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.
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Population density (people per sq. km of land area) in Afghanistan was reported at 62.22 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Afghanistan - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Afghanistan Population Density: Inhabitants per sq km data was reported at 62.220 Person in 2022. This records an increase from the previous number of 61.330 Person for 2021. Afghanistan Population Density: Inhabitants per sq km data is updated yearly, averaging 38.980 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 62.220 Person in 2022 and a record low of 18.470 Person in 1990. Afghanistan Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Afghanistan – Table AF.OECD.GGI: Social: Demography: Non OECD Member: Annual.
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Afghanistan: Population density, people per square km: The latest value from 2021 is 61 people per square km, an increase from 60 people per square km in 2020. In comparison, the world average is 456 people per square km, based on data from 196 countries. Historically, the average for Afghanistan from 1961 to 2021 is 28 people per square km. The minimum value, 13 people per square km, was reached in 1961 while the maximum of 61 people per square km was recorded in 2021.
Population density of Afghanistan went up by 1.45% from 61.3 people per sq. km in 2021 to 62.2 people per sq. km in 2022. Since the 4.13% improve in 2012, population density rocketed by 32.78% in 2022. Population density is midyear population divided by land area in square kilometers.
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Afghanistan: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Afghanistan from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .
As of 2020, 42 percent of the Afghan population consists of Pashtuns. This was followed by 27 percent of Tajiks and nine percent Hazara. the Total population of Afghanistan is currently around 33 million.
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Comprehensive socio-economic dataset for Afghanistan including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.
DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013
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Digital polygon dataset of Population Distribution of 1998 per District of Afghanistan. This dataset is acquired from ESRI Map & Data 2001 and Afghanistan Information Management Systems (AIMS), Afghanistan.
Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.
More information can be found in the Release Statement
The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained
This timeline shows the age structure in Afghanistan from 2013 to 2023. In 2023, approximately 43.23 percent of Afghanistan's population was aged 0 to 14 years, 54.4 percent was aged between 15 and 64, and 2.38 percent of people were 65 years and older.
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This bar chart displays population (people) by country using the aggregation sum in Afghanistan. The data is filtered where the date is 2021. The data is about countries per year.
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This bar chart displays male population (people) by countries yearly using the aggregation sum in Afghanistan. The data is about countries per year.
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This bar chart displays urban population (people) by region using the aggregation sum in Afghanistan. The data is about countries per year.
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人口密度:每平方公里人口在12-01-2022达62.216Person/sq km,相较于12-01-2021的61.329Person/sq km有所增长。人口密度:每平方公里人口数据按年更新,12-01-1961至12-01-2022期间平均值为20.903Person/sq km,共62份观测结果。该数据的历史最高值出现于12-01-2022,达62.216Person/sq km,而历史最低值则出现于12-01-1961,为14.127Person/sq km。CEIC提供的人口密度: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阿富汗 – Table AF.World Bank.WDI: Population and Urbanization Statistics。
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This bar chart displays population (people) by demonym using the aggregation sum in Afghanistan. The data is filtered where the date is 2021. The data is about countries per year.
In 2023, approximately 42.8 percent of the population in Afghanistan were aged up to 14 years old. In comparison, just over 11.2 percent of the population in South Korea were children below the age of 14 that year.
50 (per sqkm) in 2012.
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674