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Data on subnational population age-sex structures has been obtained through employing a number of sources to ensure the finest sub-national detail and representativeness for all areas included.
These data sources served as a basis to reconstruct mid-year population by 5-year age-groups (with the first age group split in 0-12 months and 1-4 years) and sex composition between 2000 and 2020 using iterative proportional fitting. Total population numbers at country level have been matched to the UN population projections produced in 2017.
Disclaimer: This web site contains data tables, figures, maps, analyses and technical notes from the current revision of the Global High Resolution Population Denominators Project. These documents do not imply the expression of any opinion whatsoever on the part of WorldPop concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimiprojecttation of its frontiers or boundaries.
Age-sex proportions and totals can be downloaded as a CSV from here: global_agesex_proportions_totals_2020.zip
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Département de Géographie, Université 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).
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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