Mali - Flood on Sep 11 2025

**ADAM ID: **FL-20250314-MWI-00 A flood occurred on Mar 14 2025 in Malawi. It affected an estimated 262271 people and 41646 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-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-20251013-TCD-00 A flood occurred on Oct 13 2025 in Chad. It affected an estimated 574361 people and 237656 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-20250911-PAK-00 A flood occurred on Sep 11 2025 in Pakistan. It affected an estimated 13968848 people and 2199880 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.