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

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 populatio...

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Published inScientific data Vol. 2; no. 1; p. 150045
Main Authors Sorichetta, Alessandro, Hornby, Graeme M., Stevens, Forrest R., Gaughan, Andrea E., Linard, Catherine, Tatem, Andrew J.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.09.2015
Nature Publishing Group
Subjects
692/699/255/1629
704/172
704/844/685
706/2808
Caribbean Region
Data Descriptor
Environment
Health Planning
Humanities and Social Sciences
Humans
Latin America
multidisciplinary
Population Density
Population Growth
Science
Urban Population
Urbanization
Caribbean Region
Latin America
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Summary: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. Design Type(s) data integration objective • database creation objective • time series design Measurement Type(s) population Technology Type(s) census Factor Type(s) Sample Characteristic(s) Homo sapiens • Antigua and Barbuda • Argentina • Belize • Bolivia • Brazil • Chile • Colombia • Costa Rica • Cuba • Dominican Republic • Ecuador • El Salvador • French Guiana Region • Guatemala • Guyana • Haiti • Honduras • Jamaica • Mexico • Nicaragua • Panama • Paraguay • Peru • Puerto Rico • Suriname • Trinidad and Tobago • Uruguay • Venezuela • anthropogenic habitat Machine-accessible metadata file describing the reported data (ISA-Tab format)
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A.S. drafted the manuscript. A.S., G.M.H., and F.R.S. undertook data collection, assembly, and analyses, produced the datasets, and performed their technical validation. F.R.S. developed the Random Forests-based dasymetric mapping approach and the multi-stage Random Forests estimation technique used for producing the datasets. G.M.H., F.R.S., A.E.G., and C.L. edited the manuscript. A.E.G. and C.L. aided with data collection. A.J.T. conceived the study, aided with data collection and drafting the manuscript. All authors read and approved the final version of the manuscript.
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2015.45