Pakistan - Flood on Sep 03 2025

**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-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.

**ADAM ID: **FL-20250829-PAK-00 A flood occurred on Aug 29 2025 in Pakistan. It affected an estimated 5949956 people and 892075 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-20250903-SDN-01 A flood occurred on Sep 03 2025 in Sudan. It affected an estimated 257054 people and 84514 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-NGA-01 A flood occurred on Sep 22 2025 in Nigeria. It affected an estimated 1814776 people and 264965 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.