Données

This dataset presents cholera data from the World Health Organization (WHO) across various countries.

This dataset shows aid worker security incidents in Cameroon. Annually, the data for the previous year undergoes a verification process. Data for the current year is provisional. For incident descriptions, please download data directly from www.aidworkersecurity.org

**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…

Contains data from the [DHS data portal](https://api.dhsprogram.com/). There is also a dataset containing [Cameroon - National Demographic and Health Data](https://data.humdata.org/dataset/dhs-data-for-cameroon) on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data…

Contains data from the [DHS data portal](https://api.dhsprogram.com/). There is also a dataset containing [Cameroon - Subnational Demographic and Health Data](https://data.humdata.org/dataset/dhs-subnational-data-for-cameroon) on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data…

Cameroon Current Situation FEWS NET Acute Food Insecurity Classifications data since 2020 to 2022.

Education indicators for Cameroon. Contains data from the UNESCO Institute for Statistics [bulk data service](http://data.uis.unesco.org) covering the following categories: SDG 4 Global and Thematic (made 2024 February), Other Policy Relevant Indicators (made 2024 February), Demographic and Socio-economic…

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis,…

Forecasts of forced displacement (IDPs, asylum seekers and refugees) one to three years into the future based on machine learning model.

This dataset showcases funding levels in activated country Clusters/Sectors/Working Groups per FTS