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High-resolution gridded population datasets for Latin America and the Caribbean using official statistics

High-resolution gridded population datasets for Latin America and the Caribbean using official statistics
High-resolution gridded population datasets for Latin America and the Caribbean using official statistics

“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.

2052-4463
McKeen, Tom
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Bondarenko, Maksym
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Kerr, David
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Esch, Thomas
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Marconcini, Mattia
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Palacios-Lopez, Daniela
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Zeidler, Julian
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Valle, R. Catalina
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Juran, Sabrina
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Tatem, Andrew J.
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Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
McKeen, Tom
35544f3b-b782-4d21-bdb0-851df620ad35
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Kerr, David
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Esch, Thomas
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Marconcini, Mattia
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Palacios-Lopez, Daniela
420272b8-7376-4b7d-a092-bc28b3d847c5
Zeidler, Julian
b470489b-5ffa-4725-97c0-4b8814a0a3fa
Valle, R. Catalina
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Juran, Sabrina
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Tatem, Andrew J.
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Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c

McKeen, Tom, Bondarenko, Maksym, Kerr, David, Esch, Thomas, Marconcini, Mattia, Palacios-Lopez, Daniela, Zeidler, Julian, Valle, R. Catalina, Juran, Sabrina, Tatem, Andrew J. and Sorichetta, Alessandro (2023) High-resolution gridded population datasets for Latin America and the Caribbean using official statistics. Scientific Data, 10 (1), [436]. (doi:10.1038/s41597-023-02305-w).

Record type: Article

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.

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s41597-023-02305-w - Version of Record
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Accepted/In Press date: 12 June 2023
Published date: 7 July 2023
Additional Information: © 2023. The Author(s).

Identifiers

Local EPrints ID: 479508
URI: http://eprints.soton.ac.uk/id/eprint/479508
ISSN: 2052-4463
PURE UUID: 3306cfd0-caf0-4043-b954-3b4cb1d0774c
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826

Catalogue record

Date deposited: 25 Jul 2023 16:49
Last modified: 18 Mar 2024 03:22

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Contributors

Author: Tom McKeen
Author: David Kerr
Author: Thomas Esch
Author: Mattia Marconcini
Author: Daniela Palacios-Lopez
Author: Julian Zeidler
Author: R. Catalina Valle
Author: Sabrina Juran
Author: Andrew J. Tatem ORCID iD

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