Ghana Flood Risk Indicators: District-Level Accessibility and Demographics

Ghana Risk Assessment Indicators provides district-level (admin level 2) data for flood hazard analysis, produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in March 2026. The dataset integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine across seven thematic layers.

Use Cases

• Emergency response planning using access_pop_hospitals_30min to identify isolated populations
• Disaster risk reduction by overlaying flood_exposure with children_u5 and elderly counts
• Infrastructure gap analysis using education_count and primary_healthcare_count across districts

Strengths

• Standardized ADM2_PCODE for easy joining with HDX COD-AB boundaries
• Includes travel-time based accessibility metrics (30/60/120 mins) via openrouteservice
• Integrates high-resolution demographic data from WorldPop

Limitations

• Potential under-representation of facilities in rural areas due to OpenStreetMap data gaps
• Coping capacity and vulnerability scores are derived indicators rather than primary observations

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Aggregated from WorldPop, OpenStreetMap, Google Earth Engine, and openrouteservice via the GAIA Pipeline.

Freshness

Last updated March 2026.

Geography

Ghana (Admin Level 2)