Would you like to calculate a total population in the area you have drawn?
The WorldPop Data Portal allows users to query and download rasters produced by the WorldPop research group. The tool allows the delineation of areas to query, returning zonal statistics. The size of the query area is limited to 100,000km2. Should you wish to download national-level data, please visit the WorldPop data repository. Please see below for portal data availability and specific instructions.
Global High Resolution Population Denominators Project – Funded by The Bill and Melinda Gates Foundation (OPP1134076). 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, WGS83. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution
We value all kinds of feedback on the data and methods produced by WorldPop. We know that our datasets are far from perfect and actively invite you to let us know where you see errors, and to provide suggestions on alternative data that can help us correct or improve our outputs. We regularly update our output products when new and improved datasets become available, but cannot keep track of all useful data, so rely on feedback from users to keep improving our outputs. In addition, we are always interested to hear about your case studies and how you are using the data, so please feel free to share these with us and we will profile these on the webpage.
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The spatial distribution of population in 2000, Algeria
Estimated 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.
Recommended citation: 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/WP00645