The current version supersedes GRID3 NGA - Settlement Extents v3.0; the following changes were made:Corrections on imputed values for building count and building areas.Edits to the data release notes.The GRID3 NGA - Settlement Extents v3.1 include:GRID3_NGA_settlement_extents_v3_1.gpkg: a spatial layer representing settlement polygons.GRID3_NGA_settlement_grid_v3_1.gpkg: a spatial layer representing the centroids of settled grid cells.For more information on data inputs, methodology, and codebooks please see the Data Release Notes.Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 NGA - Settlement Extents v3.1. New York: GRID3. https://doi.org/10.7916/x9xg-e262. Accessed [DAY MONTH YEAR].Terms of use:Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.Copyright 2024. The Trustees of Columbia University in the City of New York.Data license:The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0(https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).Contacts and data queries:The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Nigeria. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

NOTE: This version of the Nigeria settlement extents has been superseded by "GRID3 Nigeria Settlement Extents, Version 01.01", now available here: https://doi.org/10.7916/d8-mb4j-1p68 The dataset consists of settlement extents across Nigeria, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous GRID3 Nigeria Settlement Extents, Version 01 Alpha product, with updates. Updates in this version include: a single settlement extent feature class (Alpha contained the same data in three (3) separate feature class layers: BUAs, SSAs & Hamlets), and new population estimate fields ("Population" and "Pop_UN_adj") for each settlement extent . This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: Settlements, Hamlets, Built-up Areas (BUA), Small Settlement Areas (SSA) The programme is funded by the Bill & Melinda Gates Foundation and United Kingdom's Foreign, Commonwealth, Development Office. It is implemented by Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

All of the GRID3 data layers available in Nigeria.

This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Nigeria.

GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/

Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Nigeria Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-7778-9948. Accessed DAY MONTH YEAR

Nigeria country-wide operational state boundaries (administrative level 1). Released in September 2020.

This score ranks the percentage of the population living in a household that does not have a radio or television and where no adult household members are regular consumers of newspapers, radio, television, or the internet. Regular consumers are defined as adults who use the media at least once a week. Adults are defined as individuals aged 15-49. Ranks are determined by quintiles in the data distribution.This feature layer aggregates scores to the state boundaries from GRID3 GDB v1.69. Population estimate from WorldPop's Bottom-up gridded population layer. Access for the WorldPop population estimates full methodology visit https://wopr.worldpop.org/

Water points and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.

Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This data product contains all information contained in the previous “GRID3 Nigeria Settlement Extents, Version 01.01” product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for Age and Sex. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Keywords: Settlements, Hamlets, Built-up Areas (BUA), Small Settlement Areas (SSA)

The index equally weights the comorbidities profile, the health facilities access risk profile, and the exposure risk profile. This feature layer aggregates scores to the state boundaries from GRID3 GDB v1.69. Population estimate from WorldPop's Bottom-up gridded population layer. Access for the WorldPop population estimates full methodology visit https://wopr.worldpop.org/

The dataset consists of settlement extents across Nigeria, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Keywords: Settlements, Hamlets, Built-up Areas (BUA), Small Settlement Areas (SSA), Settlement Extents

Nigeria country-wide operational ward boundaries (administrative level 3). Released in September 2020. Approximately 1-2% of the dataset is incomplete for the country.

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Nigeria. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

The GRID3 NGA - Health Facilities v2.0 dataset is a non-exhaustive, non-validated geographic representation of health facility points in Nigeria. The dataset incorporates recent updates from both the Nigerian Health Facility Registry (HFR) and GRID3. This dataset is considered operational.

Nigeria country-wide market locations and names. Released in September 2020.

Ambulance points and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.

Nigeria country-wide settlement points and names. Released in September 2020.

Mosque locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.

This score is created via a principal component analysis (PCA) with a list of indicators of socio-economic status at the household level (non-farm employment, hectares of farmland owned, number of livestock owned, educational attainment), housing type (material for roof, floor, and walls), food security (proxied by child wasting), financial inclusion (household member has a bank account), and domestic violence (household experienced physical, sexual, or emotional abuse of women at last once in a year). This index takes into account urban and rural differences by conducting the PCA for urban and rural settings and combining results for a national index. This feature layer aggregates scores to the LGA boundaries from GRID3 GDB v1.69. Population estimate from WorldPop's Bottom-up gridded population layer. Access for the WorldPop population estimates full methodology visit https://wopr.worldpop.org/Source: Fraym 2020The Fraym platform weaves together the latest satellite imagery and geostatistical datasets with professionally enumerated household surveys. This allows for the disaggregation and re-aggregation of large datasets to cover any geographically bounded area. Indicators are drawn and harmonized from a wide variety of household surveys and other data sources. These include the following sources:USAID: Demographic and health surveysUnited Nations: UN population division databaseWorld Bank: Enterprise surveys, living standards, global index surveys, and respective country statisticsNational Statistical Offices: National censuses and surveys covering population, businesses, health, housing, agriculture, and other areasInternational Monetary Fund: World economic outlook databases and respective country statisticsNational Air and Space Administration: Remote sensing satellite data, such as vegetation, temperature, and precipitationUSGS: Landscan, Google Earth, GeoData Institute, OSMWorldPop: Population density by age groups

Government building locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.