Geospatial covariate data layers |
WorldPop high resolution, harmonised annual global geospatial covariates. R2024 Version 1.0
Geospatial covariate data layers play an important role in the production of gridded population estimates where they are used as ancillary datasets to capture, inform and explain the variabilities in population densities and distributions at small area scales. WorldPop systematically collated this extensive geospatial collection of 73 annual, spatio-temporally harmonised datasets aimed at driving improvements in mapping small area population density variation.
The gridded datasets address topography, climate, nighttime lights, land cover, inland water, infrastructure, protected areas as well as the built-up environment on a global level at a spatial resolution of 3 arc-seconds (approximately 100 metres). Datasets are available as annual time series from 2015 up to and including at least 2020, and as recent as 2023 where source datasets allow. Such datasets not only support population modelling but also applications across environmental, economic, and health sectors. Further details on the methods can be found in
Woods D, McKeen T, Cunningham A et al. Global gridded multi-temporal datasets to support human population distribution modelling [version 1]. VeriXiv 2025, 2:149 (https://doi.org/10.12688/verixiv.1078.1)
Recommended data citation
D. Woods, T. McKeen, A. Cunningham, R. Priyatikanto, A. Sorichetta , A.J. Tatem and M. Bondarenko. 2024 "WorldPop high resolution, harmonised annual global geospatial covariates. Version 1.0." University of Southampton: Southampton, UK. DOI:10.5258/SOTON/WP00772
Older datasets produced for specific individual countries and continents are still available for download here: Global 1