Retirement Notice: This item is in mature support as of October 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.Nigeria State Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from GRID3 Nigeria. These were published in October 2023. Other administrative boundaries for this country are also available: Country LocalGovernmentArea

Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item. This layer shows the average household size in Nigeria in 2023, in a multiscale map (Country, State, and Local Government Area). Nationally, the average household size is 4.5 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal householdsCount of population by 15-year age increments The source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

This webmap is featured in Nigeria in Crisis.

Retirement Notice: This item is in mature support as of October 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.Nigeria Country Boundary provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from GRID3 Nigeria. These were published in October 2023. Other administrative boundaries for this country are also available: State LocalGovernmentArea

This layer shows the average household size in Nigeria in 2023, in a multiscale map (Country, State, and Local Government Area). Nationally, the average household size is 4.5 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal householdsCount of population by 15-year age increments The source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item. This map shows the purchasing power per capita in Nigeria in 2023, in a multiscale map (Country, State, and Local Government Area). Nationally, the purchasing power per capita is 680,581 Nigerian naira. Purchasing Power describes the disposable income (income without taxes and social security contributions, including received transfer payments) of a certain area's population. The figures are in Nigerian naira (NGN) per capita.The pop-up is configured to show the following information at each geography level:Purchasing power per capitaPurchasing power index per areaThe Purchasing Power Index compares the demand for a specific purchasing category in an area, with the national demand for that product or service. The index values at the national level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the national average; an index of 80 implies that demand is 20 percent lower than the national average.The source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

The soil data used in this map were obtained from profile observations and soil survey from IITA research sites over the last 10-15 years for Nigeria. Additional soil data was obtained from the ISRIC compilation of Africa Soil Profiles Database obtained from soil survey reports and field research conducted in Nigeria

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

This series of three-period land use land cover (LULC) datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation using Esri’s ArcGIS Desktop ArcMap software. Citation: Trochain, J.-L., 1957, Accord interafricain sur la définition des types de végétation de l’Afrique tropicale: Institut d’études centrafricaines.

Retiriment Notice: This item is in mature support as of April 2025 and will be retired in December 2026. New data is available for your use directly from the Authoritative Provider. Esri recommends accessing the data from the source provider as soon as possible as our service will not longer be available after December 2026. Groundnut (Arachis hypogaea), also known as peanut, is grown around the world in a broad region between 40 degrees north and south latitude. Originally from South America, major producers of groundnut include China, India and the United States. Producing 30% of Africa"s total, Nigeria leads the continent"s production followed by Senegal, Sudan, Ghana, and Chad. Groundnut is a valuable source of protein and oil. It has the additional benefit of enriching depleted soils by converting nitrogen from the air into a form that is required by most plants. Dataset Summary This layer provides access to a 5 arc-minute (approximately 10 km at the equator) cell-sized raster of the 1999-2001 annual average area of groundnut harvested in Africa. The data are in units of hectares/grid cell. TheSPAM 2000 v3.0.6 data used to create this layerwere produced by the International Food Policy Research Institute in 2012.This dataset was created by spatially disaggregating national and sub-national harvest datausing the Spatial Production Allocation Model. Link to source metadata For more information about this dataset and the importance of casava as a staple food see the Harvest Choice webpage. The source data for this layer are available here.

This map shows the purchasing power per capita in Nigeria in 2021, in a multiscale map (Country, State, and Local Government Area). Nationally, the purchasing power per capita is 698,829 Nigerian Naira. Purchasing Power describes the disposable income (income without taxes and social security contributions, including received transfer payments) of a certain area's population. The figures are in Nigerian Naira (NGN) per capita.The pop-up is configured to show the following information at each geography level:Purchasing power per capitaPurchasing power index per areaThe Purchasing Power Index compares the demand for a specific purchasing category in an area, with the national demand for that product or service. The index values at the national level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the national average; an index of 80 implies that demand is 20 percent lower than the national average.The source of this data is Michael Bauer Research. The vintage of the data is 2021.Additional Esri Resources:Esri DemographicsPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Nigeria Admin Level 2 boundaries created by the Bill & Melinda Gates foundation. The boundaries were made by mapping all settlements, and then using the Ward Level 2 admin attributes and the ESRI Thiessen polygons tool to create boundaries at each admin level.

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

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

A self-hosted location dataset containing all administrative divisions, cities, and zip codes for Nigeria. All geospatial data is updated weekly to maintain the highest data quality, including coverage of complex regions within the country.

Use cases for the Global Zip Code Database (Geospatial data) - Address capture and validation - Map and visualization - Reporting and Business Intelligence (BI) - Master Data Management - Logistics and Supply Chain Management - Sales and Marketing

Data export methodology Our location data packages are offered in variable formats, including .csv. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features - Fully and accurately geocoded - Administrative areas with a level range of 0-4 - Multi-language support including address names in local and foreign languages - Comprehensive city definitions across countries

For additional insights, you can combine the map data with: - UNLOCODE and IATA codes - Time zones and Daylight Saving Times

Why do companies choose our location databases - Enterprise-grade service - Reduce integration time and cost by 30% - Weekly updates for the highest quality

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

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

Nigeria Inland Waterways from the Digital Chart of the World (DCW). The Digital Chart of the World (ESRI 1993) is a global vector map at a resolution of 1:1 million that includes a layer of hydrographic features such as rivers and lakes.

This shapefile provides 2014 TB statistics by state that can be used in conjunction with the co-morbidities risk profile to provide more nuance on levels of risk by state. TB rates are calculated as total cases divided by the population.Note that values of 0 mean there is no data for that particular state.The source of data for TB rates is the Nigeria Ministry of Health National Tuberculosis & Leprosy Control Programme Annual Report for 2014, Institute for Health Metrics and Evaluation (IHME), Ministry of Health.

These layers depict the Federal Republic of Nigeria Economic Points in the Human Geography Information Survey.

Increasing poor people's access to financial services can help them weather personal financial crises and increase their chances of climbing out of poverty. The FSP interactive map tool plots financial service locations throughout Africa. This tool can be used to identify gaps in access to financial services, and to design policy and inform decision-making.