Facebook
TwitterWorldPop 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
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
The current population of Afghanistan is 41,422,675 as of Tuesday, May 9, 2023, based on Worldometer elaboration of the latest United Nations data. Afghanistan 2020 population is estimated at 38,928,346 people at mid year according to UN data. Afghanistan population is equivalent to 0.5% of the total world population. Afghanistan ranks number 37 in the list of countries (and dependencies) by population. The population density in Afghanistan is 60 per Km2 (154 people per mi2). The total land area is 652,860 Km2 (252,071 sq. miles) 25.4 % of the population is urban (9,904,337 people in 2020) The median age in Afghanistan is 18.4 years.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical dataset showing Afghanistan population density by year from 1961 to 2022.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Actual value and historical data chart for Afghanistan Population Density People Per Sq Km
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
Twitterhttps://www.ycharts.com/termshttps://www.ycharts.com/terms
View yearly updates and historical trends for Afghanistan Population Density. Source: World Bank. Track economic data with YCharts analytics.
Facebook
TwitterAs of 2020, ** percent of the Afghan population consists of Pashtuns. This was followed by ** percent of Tajiks and **** percent Hazara. the Total population of Afghanistan is currently around ** million.
Facebook
TwitterDigital 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.
Facebook
TwitterThis polygon dataset shows the population density of districts in the Lowgar Province of Afghanistan for 2005. This layer is part of the Topographic Maps of Afghanistan and Kabul dataset which contains shapefiles relating to district and provincial boundaries, land use, transportation, buildings and structures, rivers, settlements and other specific city data
Facebook
Twitterhttps://worldviewdata.com/termshttps://worldviewdata.com/terms
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.
Facebook
TwitterThis polygon dataset shows the population density of the Paktīā Province in Afghanistan for 2005. This layer is part of the Topographic Maps of Afghanistan and Kabul dataset which contains shapefiles relating to district and provincial boundaries, land use, transportation, buildings and structures, rivers, settlements and other specific city data.
Facebook
TwitterThis polygon dataset shows the population density of the Vardak Province in Afghanistan for 2005. This layer is part of the Topographic Maps of Afghanistan and Kabul dataset which contains shapefiles relating to district and provincial boundaries, land use, transportation, buildings and structures, rivers, settlements and other specific city data.
Facebook
TwitterEstimates, 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
Please note that these data represent 2025 Alpha release versions, constructed in September 2025
Facebook
TwitterDATASET: 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
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays urban population (people) by region using the aggregation sum in Afghanistan. The data is about countries per year.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays female population (people) by capital city using the aggregation sum in Afghanistan. The data is filtered where the date is 2021. The data is about countries per year.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays population (people) by region using the aggregation sum in Afghanistan. The data is filtered where the date is 2021. The data is about countries per year.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays rural 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.
Facebook
TwitterWorldPop 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