Datasets > Nigeria > 2020-present

Bottom-up gridded population estimates for , version 2.0 [Nigeria]

Humanitarian Data Exchange · 2021 Full Details

Full Details

Title
Bottom-up gridded population estimates for , version 2.0 [Nigeria]
Description
This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100 m grid cells) with national coverage for Nigeria, along with estimates of the number of people belonging to various age-sex groups. Version 2.0 is an update to the previous version 1.2 gridded population estimates and is based on more recent and detailed settlement information and a different regional boundary definition. These model-based population estimates most likely represent the time period around 2019, corresponding to the period when the satellite imagery was processed to generate building footprints. Populations are mapped only into areas where residential settlements are predicted. These data were produced by the [WorldPop](https://www.worldpop.org/) Research Group at the University of Southampton in collaboration with the National Population Commission of Nigeria. This work was part of the Geo-Referenced Infrastructure and Demographic Data for Development ([GRID3 ](https://grid3.org/)) programme with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network ([CIESIN](http://www.ciesin.org/)), a center within the Columbia Climate School at Columbia University, and the [Flowminder](https://www.flowminder.org/) Foundation. Statistical modelling was led by Chris Jochem and Doug Leasure additional support and oversight from Attila Lazar and Andy Tatem. Chris Lloyd provided the residential building classification. The microcensus data were originally collected by eHealth Africa and Oak Ridge National Laboratory with support from the Bill and Melinda Gates Foundation. The WorldPop grou and GRID3 partners are acknowledged for their project support. __RELEASE CONTENT__ 1. NGA_population_v2_0_gridded.zip 2. NGA_population_v2_0_admin.zip 3. NGA_population_v2_0_sql.sql 4. NGA_population_v2_0_mastergrid.tif 5. NGA_population_v2_0_tiles.zip 6. NGA_population_v2_0_agesex.zip __LICENSE__ These data (1-6) may be redistributed using a [Creative Commons Attribution 4.0 International (CC BY 4.0) ](https://creativecommons.org/licenses/by/4.0/) License. __Recommended citations__ _WorldPop and National Population Commission of Nigeria. 2021. Bottom-up gridded population estimates for Nigeria, version 2.0. WorldPop, University of Southampton. doi: 10.5258/SOTON/WP00729._ For further details, please, read NGA_population_v2_0_README.pdf
Temporal Coverage
2021-2025
License
http://www.opendefinition.org/licenses/cc-by
Access Rights
Public
Format
Files
Language
English
Date Added
December 19, 2023

Location

Leaflet © OpenStreetMap contributors

click or hover to wake

Links

Cite and Reference

  • Citation
    [Creator not found] (n.d.). Bottom-up gridded population estimates for , version 2.0 [Nigeria]. . https://data.humdata.org/dataset/511173a1-1d35-4bd4-be61-fd389e1af972 (dataset)
  • BTAA Geoportal Link

View more items like this one...

Bottom-up gridded population estimates for , version 1.2 [Nigeria]

2020

Bottom-up gridded population estimates for , version 2.1 [Nigeria]

2023

2019 gridded population estimates from census projections adjusted for displacement, ve...

2020

Modelled gridded population estimates for 2019, version 1.0 [Zambia]

2020

GRID3 Settlement Extents, Version 01.02 [Nigeria]

2022

Census-based gridded population estimates for (2019), version 1.0 [Burkina Faso]

2021

Modelled gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, a...

2020

GRID3 Settlement Extents, Version 02 [Nigeria]

2020

Census disaggregated gridded population estimates for (2017), version 1.1 [Mozambique]

2020

GRID3 Settlement Extents, Version 01.02 [Senegal]

2022