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

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.

Population density (people per sq. km of land area) in Afghanistan was reported at 63.56 sq. Km in 2023, 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 October of 2025.

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.

Historical dataset showing Afghanistan population density by year from 1961 to 2022.

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.

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.

View yearly updates and historical trends for Afghanistan Population Density. Source: World Bank. Track economic data with YCharts analytics.

62.2 (people per sq. km) in 2022. Population density is midyear population divided by land area in square kilometers.

This 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

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

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.

As 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.

This polygon dataset shows the population density of the Paktīkā 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.

This bar chart displays urban population (people) by countries yearly using the aggregation sum in Afghanistan. The data is about countries per year.

This bar chart displays population (people) by country full name using the aggregation sum in Afghanistan. The data is filtered where the date is 2021. The data is about countries per year.

This bar chart displays male population (people) by region using the aggregation sum in Afghanistan. The data is about countries per year.

0.3 (number per thousand population) in 2020.

This bar chart displays female population (people) by continent using the aggregation sum in Afghanistan. The data is about countries per year.