Cameroon GIS data

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

**UNOSAT code: FL20191017CMR** This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 11 October 2019. Within the analysed extent of about 7,200 km2, a total about 1,500 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20191017CMR** This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 16 October 2019. Within the analysed extent of about 2,500 km2, a total about 211 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20240821CMR** This map illustrates cumulative satellite-detected water extent in Farth-North Region, Cameroon between 16 to 20 August 2024. Within the cloud free analysed areas of about 33,000 km², a total of about 4,100 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 2,500 km² since the period between 07 to 11 August 2024. Based on Worldpop population data and the maximum flood water extent, ~350,000 people in Far-North Region are potentially exposed or living close to flooded areas, amongst which ~130,000 people in Mayo-Kani Department and ~120,000 people in Logone-et-Chari Department. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20240821CMR** This map illustrates cumulative satellite-detected water extent in Farth-North Region, Cameroon between 18 to 22 September 2024. Within the cloud free analysed areas of about 34,000 km², a total of about 6,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,800 km² since the period between 16 to 20 August 2024. Based on Worldpop population data and the maximum flood water extent, ~415,000 people in Far-North Region are potentially exposed or living close to flooded areas, amongst which ~270,000 people in Logone-et-Chari Department and ~125,000 people in Mayo-Danay Department. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Cameroon Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2022

Cameroon Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2021

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Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

This geospatial dataset represents the area of intervention of the development of rice sector in the Republic of Cameroon, supported by the World Development Bank (WDB), UN FAO and the Cameroonian Government. The project aims to enhance rice production, to improve food and nutrition security and strengthen the resilience of vulnerable populations through sustainable agriculture, climate adaptation, and livelihood support. The dataset is designed for integration with other geospatial layers under the FAO Hand-in-Hand Initiative (HiHI), supporting evidence-based investment planning and targeted interventions in the agricultural sector. **Data creation:** 2025-08-05 **Citation:** FAO. [YYYY (year of last update)]. [Name of database: Name of dataset OR Name of database]. [Accessed on [DD Month YYYY]]. [URL] Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Lionel Guemdjo](mailto:guemdjo.lionelromeo@fao.org) **Data lineage:** lineage statement lineage statement The project area of intervention was created with information from the Plan d’investissement pour le développement de la filière riz, from Forum d’Investissement | Rome, Italie | 16 au 20 octobre 2023 and the Plan d’investissement pour le développement de la filière riz, from the Forum d’Investissement | Rome, Italie | 15 au 17 octobre 2024 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** [Web map service for the project area of intervention]()

This dataset identifies arrondissements in Cameroon where rice projects are located. It supports the National Rice Initiative, which seeks to boost rice production and productivity through investments in irrigation basins, quality inputs, mechanization, storage, processing, and market access. Designed for integration with FAO’s Hand-in-Hand Initiative, the dataset enables evidence-based planning to strengthen food security, climate resilience, and sustainable livelihoods. **Data creation:** 2025-04-01 **Data publication:** 2025-09-23 **Citation:** FAO. [YYYY (year of last update)]. [Name of database: Name of dataset OR Name of database]. [Accessed on [DD Month YYYY]]. [URL] Licence: CC-BY-4.0 **Contact points:** Maintainer: [Lionel Guemdjo](mailto:guemdjo.lionelromeo@fao.org) Responsible Party: [Nelson Ribeiro](mailto:nelson.rosasribeirofilho@fao.org) **Data lineage:** lineage statement lineage statement The Administrative Unite Location Projects describe projects conceptualized based on the foundational national policy and investment frameworks for Cameroon's rice sector. The primary sources are 1. Investment Plan: "Plan d’investissement pour le développement de la filière riz," presented at the Forum d’Investissement, Rome, Italy (16-20 October 2023). 2. Strategic Framework: The "Stratégie de développement de la riziculture 2022-2030" (January 2023), which also encompasses the presentation "STRATEGIE DE DEVELOPPEMENT 2022-2030 DE LA FILIERE RIZ AU CAMEROUN. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:**

AI-derived building footprint polygons for Cameroon from Microsoft's Global ML Building Footprints, in 108 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.

Gridded raster of population distribution for Cameroon, with cell values measuring population. Published by WorldPop (University of Southampton). The data cover Cameroon for the year 2030.

Gridded raster of population distribution for Cameroon, published by WorldPop (University of Southampton). Each cell value measures the population count within that grid cell. The data cover Cameroon for the year 2030.

This data layer shows the boundaries of agro-industrial zones, where oil palm and rubber tree plantations, as well as other crops, may be established. In Cameroon, industrial agriculture falls outside of the National Forest Estate. Agricultural plantations are allocated by the Ministry of Economy and Planning to private entities under long-term, renewable contracts, which are then monitored by the Ministry of Agriculture. The agro-industrial data set was mapped using satellite imagery, with ground-truthing to determine the crop type and operating company. This data layer shows the boundaries of agro-industrial zones, where oil palm and rubber tree plantations, as well as other crops, may be established.