Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2020 for Ethiopia.
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 estimated number of male/female in each age group per grid square. "NoData" values represent areas that were mapped as unsettled based on building footprints provided by the Digitize Africa project of Ecopia.AI and Maxar Technologies (2020)
The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038/sdata.2017.89 (2017)
REFERENCES:
- 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/WP00646
- Pezzulo, C., Hornby, G., Sorichetta, A. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4, 170089 (2017). https://doi.org/10.1038/sdata.2017.89
- Ecopia.AI and Maxar Technologies. 2020. Digitize Africa data. http://digitizeafrica.ai
Region : Ethiopia
DOI : 10.5258/SOTON/WP00696
Date of production : 2020-10-30
Recommended citation
Bondarenko M., Kerr D., Sorichetta A., and Tatem, A.J. 2020. Estimates of total number of people per grid square broken down by gender and age groupings for 51 countries across sub-Saharan Africa in 2020 using Ecopia.AI and Maxar Technologies building footprints. WorldPop, University of Southampton, UK. doi:10.5258/SOTON/WP00696
Data Files :
WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.