The University of Southampton
University of Southampton Institutional Repository

Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1

Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1
Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1
Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1
Nigeria, population estimates, Population distribution, Population
University of Southampton
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

WorldPop, (2020) Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1. University of Southampton doi:10.5258/SOTON/WP00661 [Dataset]

Record type: Dataset

Abstract

Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1

This record has no associated files available for download.

More information

Published date: 30 March 2020
Keywords: Nigeria, population estimates, Population distribution, Population

Identifiers

Local EPrints ID: 438977
URI: http://eprints.soton.ac.uk/id/eprint/438977
PURE UUID: 5657ea56-4773-42e8-98a2-d40c4f65c350
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551

Catalogue record

Date deposited: 30 Mar 2020 16:31
Last modified: 06 May 2023 01:43

Export record

Altmetrics

Contributors

Data Manager: Maksym Bondarenko ORCID iD
Owner: WorldPop
Creator: WorldPop

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×