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Interim: Unconstrained and constrained estimates of 2021-2022 total number of people per grid square, adjusted to match the corresponding UNPD 2022 estimates (1km resolution), version 1.0

Interim: Unconstrained and constrained estimates of 2021-2022 total number of people per grid square, adjusted to match the corresponding UNPD 2022 estimates (1km resolution), version 1.0
Interim: Unconstrained and constrained estimates of 2021-2022 total number of people per grid square, adjusted to match the corresponding UNPD 2022 estimates (1km resolution), version 1.0
These data include gridded estimates of population at approximately 1km for 2021. These datasets results were produced based on using the spatial distribution of unconstrained and constrained population datasets for individual countries for 2020. Country totals were adjusted to match the corresponding official United Nations population estimates, prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (World Population Prospects 2022).
population, Population data, Population distribution
University of Southampton
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Tejedor Garavito, Natalia
26fd242c-c882-4210-a74d-af2bb6753ee3
Priyatikanto, Rhorom
c250c3ca-958c-46a2-969a-3ad689b8630b
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Tejedor Garavito, Natalia
26fd242c-c882-4210-a74d-af2bb6753ee3
Priyatikanto, Rhorom
c250c3ca-958c-46a2-969a-3ad689b8630b
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Bondarenko, Maksym, Tejedor Garavito, Natalia, Priyatikanto, Rhorom, Sorichetta, Alessandro and Tatem, Andrew (2022) Interim: Unconstrained and constrained estimates of 2021-2022 total number of people per grid square, adjusted to match the corresponding UNPD 2022 estimates (1km resolution), version 1.0. University of Southampton doi:10.5258/SOTON/WP00744 [Dataset]

Record type: Dataset

Abstract

These data include gridded estimates of population at approximately 1km for 2021. These datasets results were produced based on using the spatial distribution of unconstrained and constrained population datasets for individual countries for 2020. Country totals were adjusted to match the corresponding official United Nations population estimates, prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (World Population Prospects 2022).

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More information

Published date: 12 November 2022
Related URLs:
Keywords: population, Population data, Population distribution

Identifiers

Local EPrints ID: 472186
URI: http://eprints.soton.ac.uk/id/eprint/472186
DOI: doi:10.5258/SOTON/WP00744
PURE UUID: 674fd52a-8c9f-4d38-8679-392e58e6a502
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551
ORCID for Natalia Tejedor Garavito: ORCID iD orcid.org/0000-0002-1140-6263
ORCID for Rhorom Priyatikanto: ORCID iD orcid.org/0000-0003-1203-2651
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 29 Nov 2022 17:30
Last modified: 06 May 2023 02:05

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Contributors

Creator: Maksym Bondarenko ORCID iD
Creator: Natalia Tejedor Garavito ORCID iD
Creator: Rhorom Priyatikanto ORCID iD
Creator: Alessandro Sorichetta ORCID iD
Creator: Andrew Tatem ORCID iD

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