Datos

This dataset shows aid worker security incidents in Democratic Republic of the Congo. Annually, the data for the previous year undergoes a verification process. Data for the current year is provisional. For incident descriptions, please download data…

This dataset shows aid worker security incidents in Mali. 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

Sierra Leone Current Situation FEWS NET Acute Food Insecurity Classifications data since 2015 to 2016.

This dataset shows aid worker security incidents in Burkina Faso. 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

This dataset shows aid worker security incidents in Niger. 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

Chad Most Likely FEWS NET Acutely Food Insecure Population Estimates Data Since 2017 to 2019.

**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…

L’extrait de données mouvement de population (Retour) produit chaque mois est fait suivant la méthodologie en vigueur en RDC (https://drive.google.com/file/d/1IgrUr-8s2-5SqVKl9Q1ThofGWRQ5m91R/view?usp=sharing). Pour avoir le nombre des retournées, elle recommande que soient considérés les données mouvements retour ayant…

**UNOSAT code: FL20240820TCD** This map illustrates cumulative satellite-detected water using VIIRS in Chad between 15 to 19 August 2024. Within the cloud free analysed areas of about 1,200,000 km², a total of about 19,000 km²…

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future…