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Sci Data. 2015 Sep 01;2:150045. doi: 10.1038/sdata.2015.45. eCollection 2015.

High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020.

Scientific data

Alessandro Sorichetta, Graeme M Hornby, Forrest R Stevens, Andrea E Gaughan, Catherine Linard, Andrew J Tatem

Affiliations

  1. Geography and Environment, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK ; Institute for Life Sciences, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK.
  2. GeoData, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK.
  3. Department of Geography and Geosciences, University of Louisville , Louisville, KY 40292, USA.
  4. Lutte biologique et Ecologie spatiale (LUBIES), Université Libre de Bruxelles , CP 160/12, 50 Avenue F.D. Roosevelt, Bruxelles B-1050, Belgium ; Fonds National de la Recherche Scientifique , 5 rue d'Egmont, Bruxelles B-1000, Belgium.
  5. Geography and Environment, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK ; Fogarty International Center, National Institutes of Health , 16 Center Drive, Bethesda, MD 20892, USA ; Flowminder Foundation , Roslagsgatan 17 SE-11355, Stockholm, Sweden.

PMID: 26347245 PMCID: PMC4555876 DOI: 10.1038/sdata.2015.45

Abstract

The Latin America and the Caribbean region is one of the most urbanized regions in the world, with a total population of around 630 million that is expected to increase by 25% by 2050. In this context, detailed and contemporary datasets accurately describing the distribution of residential population in the region are required for measuring the impacts of population growth, monitoring changes, supporting environmental and health applications, and planning interventions. To support these needs, an open access archive of high-resolution gridded population datasets was created through disaggregation of the most recent official population count data available for 28 countries located in the region. These datasets are described here along with the approach and methods used to create and validate them. For each country, population distribution datasets, having a resolution of 3 arc seconds (approximately 100 m at the equator), were produced for the population count year, as well as for 2010, 2015, and 2020. All these products are available both through the WorldPop Project website and the WorldPop Dataverse Repository.

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