Age and sex structures Age and sex structures / Constrained individual countries 2020 UN adjusted / Senegal 100m. Age structures

Senegal 100m Age structures in 2020 with country total adjusted to match the corresponding UNPD estimate.

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 Senegal.

The dataset is available to download in Geotiff format at a resolution of 3 arc seconds (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 with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects). "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)

Filenames: Example sen_f_5_2020_constrained_UNadj.tif People per pixel (PPP) for female age group 5 to 9 years (f_05) in Senegal for year 2020. For other datasets, m = male, 00 = age group 0 to 12months, 01 = age group 1 to 4 years, 80 = age 80 years and over

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 : Senegal
DOI : 10.5258/SOTON/WP00699
Date of production : 2020-11-30
Recommended citation

Bondarenko M., Kerr D., Sorichetta A., and Tatem, A.J. 2020. Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints. WorldPop, University of Southampton, UK. doi:10.5258/SOTON/WP00699


Data Files :
Name Size
sen_f_0_2020_constrained_UNadj.tif 5.62 MB
sen_f_10_2020_constrained_UNadj.tif 5.62 MB
sen_f_15_2020_constrained_UNadj.tif 5.63 MB
sen_f_1_2020_constrained_UNadj.tif 5.62 MB
sen_f_20_2020_constrained_UNadj.tif 5.63 MB
sen_f_25_2020_constrained_UNadj.tif 5.63 MB
sen_f_30_2020_constrained_UNadj.tif 5.63 MB
sen_f_35_2020_constrained_UNadj.tif 5.63 MB
sen_f_40_2020_constrained_UNadj.tif 5.63 MB
sen_f_45_2020_constrained_UNadj.tif 5.63 MB
sen_f_50_2020_constrained_UNadj.tif 5.63 MB
sen_f_55_2020_constrained_UNadj.tif 5.63 MB
sen_f_5_2020_constrained_UNadj.tif 5.62 MB
sen_f_60_2020_constrained_UNadj.tif 5.64 MB
sen_f_65_2020_constrained_UNadj.tif 5.63 MB
sen_f_70_2020_constrained_UNadj.tif 5.63 MB
sen_f_75_2020_constrained_UNadj.tif 5.63 MB
sen_f_80_2020_constrained_UNadj.tif 5.63 MB
sen_m_0_2020_constrained_UNadj.tif 5.62 MB
sen_m_10_2020_constrained_UNadj.tif 5.62 MB
sen_m_15_2020_constrained_UNadj.tif 5.63 MB
sen_m_1_2020_constrained_UNadj.tif 5.62 MB
sen_m_20_2020_constrained_UNadj.tif 5.63 MB
sen_m_25_2020_constrained_UNadj.tif 5.63 MB
sen_m_30_2020_constrained_UNadj.tif 5.63 MB
sen_m_35_2020_constrained_UNadj.tif 5.63 MB
sen_m_40_2020_constrained_UNadj.tif 5.62 MB
sen_m_45_2020_constrained_UNadj.tif 5.62 MB
sen_m_50_2020_constrained_UNadj.tif 5.63 MB
sen_m_55_2020_constrained_UNadj.tif 5.63 MB
sen_m_5_2020_constrained_UNadj.tif 5.62 MB
sen_m_60_2020_constrained_UNadj.tif 5.63 MB
sen_m_65_2020_constrained_UNadj.tif 5.63 MB
sen_m_70_2020_constrained_UNadj.tif 5.62 MB
sen_m_75_2020_constrained_UNadj.tif 5.63 MB
sen_m_80_2020_constrained_UNadj.tif 5.64 MB
WorldPop datasets are available under the Creative Commons Attribution 4.0 International License. This means that you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially, provided attribution is included (appropriate credit and a link to the licence).