Nigeria - Flood on Sep 22 2025

**ADAM ID: **FL-20250918-GNB-01 A flood occurred on Sep 18 2025 in Guinea-Bissau. It affected an estimated 26367 people and 3032 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **FL-20250922-GIN-02 A flood occurred on Sep 22 2025 in Guinea. It affected an estimated 187078 people and 44602 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **FL-20250903-TCD-03 A flood occurred on Sep 03 2025 in Chad. It affected an estimated 879498 people and 193767 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **FL-20250926-CMR-00 A flood occurred on Sep 26 2025 in Cameroon. It affected an estimated 380999 people and 100561 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **FL-20250918-SLE-02 A flood occurred on Sep 18 2025 in Sierra Leone. It affected an estimated 37351 people and 211 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **FL-20250918-PAK-00 A flood occurred on Sep 18 2025 in Pakistan. It affected an estimated 16793460 people and 2637108 ha of cropland. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.