Senegal and Gambia: District-Level Flood Risk and Access Indicators

HeiGIT produced this dataset in March 2026 to provide risk assessment indicators for Senegal and Gambia at the administrative level 2. It aggregates demographic, infrastructure, and accessibility data from WorldPop and OpenStreetMap to support structured flood hazard analysis.

Use Cases

• Evaluating emergency medical response times using access_pop_hospitals_30min
• Quantifying school-age populations in flood-prone areas using pop_u15 and education_count
• Estimating gender-specific evacuation needs using female_pop and female_u5 columns

Strengths

• Standardized ADM2_PCODE join keys for HDX COD-AB boundaries
• Integration of high-resolution WorldPop demographic data
• Travel-time based accessibility metrics for healthcare and education

Limitations

• Potential data gaps in rural infrastructure counts due to reliance on OpenStreetMap
• Spatial aggregation at district level may obscure sub-district hazard variations

Provenance

Source

HeiGIT GAIA Pipeline (integrating WorldPop, OSM, and Google Earth Engine)

Collection Method

Aggregated from open geospatial and demographic data sources via the GAIA processing pipeline

Freshness

Last updated March 2026.

Geography

Senegal and Gambia