West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050

The West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 data set is based on an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster but at a coarser 5 arc-minute resolution. Bryan Jones of Baruch College produced country-level projections based on the Shared Socioeconomic Pathway 4 (SSP4). SSP4 reflects a divided world where cities that have relatively high standards of living, are attractive to internal and international migrants. In low income countries, rapidly growing rural populations live on shrinking areas of arable land due to both high population pressure and expansion of large-scale mechanized farming by international agricultural firms. This pressure induces large migration flow to the cities, contributing to fast urbanization, although urban areas do not provide many opportUnities for the poor and there is a massive expansion of slums and squatter settlements. This scenario may not be the most likely for the West Africa region, but it has internal coherence and is at least plausible.

Data and Resources

Additional Info

Field Value
Maintainer undefined
Last Updated April 23, 2025, 22:52 (UTC)
Created April 23, 2025, 22:52 (UTC)
accessLevel public
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citation Jones, B. 2018-12-06. West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050. Version 1.00. Palisades, NY. Archived by National Aeronautics and Space Administration, U.S. Government, Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H48K7719. https://doi.org/10.7927/H48K7719.
creator Jones, B
graphic-preview-description Sample browse graphic of the data set.
graphic-preview-file https://sedac.ciesin.columbia.edu/downloads/maps/wacvm/wacvm-population-projections-2030-2050/sedac-logo.jpg
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harvest_source_title DNG Legacy Data
identifier C1577537501-SEDAC
issued 2018-12-06
landingPage https://doi.org/10.7927/H48K7719
language {en-US}
metadata_type geospatial
modified 2018-12-06
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publisher SEDAC
references {https://doi.org/10.7927/H4F769H4,https://doi.org/10.7927/H45T3HFZ,https://doi.org/10.7927/H4222RQJ,https://doi.org/10.7927/H4X9287N,https://doi.org/10.7927/H4SJ1HHX,https://doi.org/10.7927/H4J10131,https://doi.org/10.7927/H4DB7ZR7,https://doi.org/10.7927/H44T6G9K,https://doi.org/10.7927/H4125QK5,https://doi.org/10.7927/H4W95738,https://doi.org/10.7927/H4RJ4GCJ,https://doi.org/10.7927/H4MS3QP8,https://doi.org/10.7927/H4H41PCK,https://doi.org/10.7927/H49K485P,https://doi.org/10.7927/H4K0726D,http://doi.org/10.3390/ijgi4042561}
release-place Palisades, NY
resource-type Dataset
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source_schema_version 1.1
spatial 16.71 1.65 16.21 13.9
temporal 2030-01-01T00:00:00Z/2050-01-01T00:00:00Z
theme {WACVM,geospatial}