High-resolution gridded population datasets for Latin America and the Caribbean using official statistics
Abstract “Leaving no one behind” is the fundamental objective of the 2030 Agenda for Sustainable Development. Latin America and the Caribbean is marked by social inequalities, whilst its total population is projected to increase to almost 760 million by 2050. In this context, contemporary and spatia...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02305-w |
| _version_ | 1797784775001374720 |
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| author | Tom McKeen Maksym Bondarenko David Kerr Thomas Esch Mattia Marconcini Daniela Palacios-Lopez Julian Zeidler R. Catalina Valle Sabrina Juran Andrew J. Tatem Alessandro Sorichetta |
| author_facet | Tom McKeen Maksym Bondarenko David Kerr Thomas Esch Mattia Marconcini Daniela Palacios-Lopez Julian Zeidler R. Catalina Valle Sabrina Juran Andrew J. Tatem Alessandro Sorichetta |
| author_sort | Tom McKeen |
| collection | DOAJ |
| description | Abstract “Leaving no one behind” is the fundamental objective of the 2030 Agenda for Sustainable Development. Latin America and the Caribbean is marked by social inequalities, whilst its total population is projected to increase to almost 760 million by 2050. In this context, contemporary and spatially detailed datasets that accurately capture the distribution of residential population are critical to appropriately inform and support environmental, health, and developmental applications at subnational levels. Existing datasets are under-utilised by governments due to the non-alignment with their own statistics. Therefore, official statistics at the finest level of administrative units available have been implemented to construct an open-access repository of high-resolution gridded population datasets for 40 countries in Latin American and the Caribbean. These datasets are detailed here, alongside the ‘top-down’ approach and methods to generate and validate them. Population distribution datasets for each country were created at a resolution of 3 arc-seconds (approximately 100 m at the equator), and are all available from the WorldPop Data Repository. |
| first_indexed | 2024-03-13T00:44:41Z |
| format | Article |
| id | doaj.art-8b906228f4e048ee830447d101a11fb4 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-13T00:44:41Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-8b906228f4e048ee830447d101a11fb42023-07-09T11:05:46ZengNature PortfolioScientific Data2052-44632023-07-0110111710.1038/s41597-023-02305-wHigh-resolution gridded population datasets for Latin America and the Caribbean using official statisticsTom McKeen0Maksym Bondarenko1David Kerr2Thomas Esch3Mattia Marconcini4Daniela Palacios-Lopez5Julian Zeidler6R. Catalina Valle7Sabrina Juran8Andrew J. Tatem9Alessandro Sorichetta10WorldPop, School of Geography and Environmental Science, University of SouthamptonWorldPop, School of Geography and Environmental Science, University of SouthamptonWorldPop, School of Geography and Environmental Science, University of SouthamptonGerman Aerospace Centre (DLR)German Aerospace Centre (DLR)German Aerospace Centre (DLR)German Aerospace Centre (DLR)United Nations Population Fund (UNFPA), Regional Office for Latin America and the CaribbeanUnited Nations Population Fund (UNFPA), Regional Office for Latin America and the CaribbeanWorldPop, School of Geography and Environmental Science, University of SouthamptonDipartimento di Scienze della Terra “A. Desio”, Università degli Studi di MilanoAbstract “Leaving no one behind” is the fundamental objective of the 2030 Agenda for Sustainable Development. Latin America and the Caribbean is marked by social inequalities, whilst its total population is projected to increase to almost 760 million by 2050. In this context, contemporary and spatially detailed datasets that accurately capture the distribution of residential population are critical to appropriately inform and support environmental, health, and developmental applications at subnational levels. Existing datasets are under-utilised by governments due to the non-alignment with their own statistics. Therefore, official statistics at the finest level of administrative units available have been implemented to construct an open-access repository of high-resolution gridded population datasets for 40 countries in Latin American and the Caribbean. These datasets are detailed here, alongside the ‘top-down’ approach and methods to generate and validate them. Population distribution datasets for each country were created at a resolution of 3 arc-seconds (approximately 100 m at the equator), and are all available from the WorldPop Data Repository.https://doi.org/10.1038/s41597-023-02305-w |
| spellingShingle | Tom McKeen Maksym Bondarenko David Kerr Thomas Esch Mattia Marconcini Daniela Palacios-Lopez Julian Zeidler R. Catalina Valle Sabrina Juran Andrew J. Tatem Alessandro Sorichetta High-resolution gridded population datasets for Latin America and the Caribbean using official statistics Scientific Data |
| title | High-resolution gridded population datasets for Latin America and the Caribbean using official statistics |
| title_full | High-resolution gridded population datasets for Latin America and the Caribbean using official statistics |
| title_fullStr | High-resolution gridded population datasets for Latin America and the Caribbean using official statistics |
| title_full_unstemmed | High-resolution gridded population datasets for Latin America and the Caribbean using official statistics |
| title_short | High-resolution gridded population datasets for Latin America and the Caribbean using official statistics |
| title_sort | high resolution gridded population datasets for latin america and the caribbean using official statistics |
| url | https://doi.org/10.1038/s41597-023-02305-w |
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