![]() Source imagery for HRSL © 2016 DigitalGlobe. To reference this data, please use the following citation: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. This preserves the relative population totals across administrative units while matching the UN total. ![]() The resulting adjustment factor is multiplied by each administrative unit census value for the target year. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. The data is the Global Human Settlement Layer population grid for 2025. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: įor information about how to use HDX to access these datasets, please visit: Īdjustments to match the census population with the UN estimates are applied at the national level. Estimated population within circle in 2025: -Calculations will take up to a minute at busy times and for larger radiuses. The resulting maps are the most detailed and actionable tools available for aid and research organizations. America’s 328 million people are spread across a huge amount of territory, but the population density of various regions is far from equal. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. Identify global megacity regions and the growth and diversity of urban forms. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Explore the detailed geography of population across the globe with interactive mapping and statistics. Creative Commons Attribution International
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