Terms and conditions, or any related information. Warranties regarding its licenses, any material licensed under their Information available on an "as-is" basis. Creative Commons makes its licenses and related Distribution ofĬreative Commons public licenses does not create a lawyer-client or WorldPop datasets are licensed under the Creative Commons AttributionĬreative Commons Corporation ("Creative Commons") is not a law firm andĭoes not provide legal services or legal advice. Peer-reviewed methods to produce easily updatable maps withĪccompanying metadata and measures of uncertainty. Methods used are designed with full open access and operationalĪpplication in mind, using transparent, fully documented and Support development, disaster response and health applications. The WorldPop project aims to provide an open access archive of spatialĭemographic datasets for Central and South America, Africa and Asia to Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). WorldPop (- 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). Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,Īdjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.ĭata for earlier dates is available directly from WorldPop. 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 These are produced using the unconstrained top-down modelling method. Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.ĭatasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) While the lowest population density is recorded by No income group available with a population density of only 24.7.WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. If we devide the global population into income groups we can see that Lower-middle-income countries has the highest population density of 129.2 people per square kilometer. While the sub-region with lowest population density for the yearĪustralia/New Zealand with only 3.8 people/km². When devided into sub-subregions we can see that Southern Asia had the highest population density of 304.3 people per square kilometer.Ĭlosely followed by Caribbean with a population density of 197.4 people/km²,Īnd Western Europe with 178.6 people living per square kilometer. The geographic region with the highest population densityĪsia with a density of 147.6 people per square kilometer.Ĭlosely followed by Africa with a population density of 44.9 people/km²,Īnd Europe with 33.8 people living per square kilometer. □□ Greenland with 0.1 people per square kilometer.įollowed by □□ Falkland Islands (Malvinas) with a density of 0.3 people/km²,Īnd □□ Western Sahara with 2.0 people living per square kilometer, if said population is spread out evenly across its land mass. The country with the lowest annual population density □□ Monaco with a density of 24855.0 people per square kilometer.Ĭlosely followed by □□ China, Macao SAR with a population density of 20739.1 people/km²,Īnd □□ Singapore with 8589.2 people living per square kilometer, if spread out evenly. The country with the highest population density A population density of 59.5 (people/km²).
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