Somalia Risk Assessment Indicators: District-Level Flood and Cyclone Data

HeiGIT generated these risk assessment indicators for Somalia in 2026, aggregating data at the administrative level 2 (district). The dataset combines demographic, infrastructure, and environmental layers from WorldPop and OpenStreetMap to facilitate structured assessments for flood and cyclone hazards.

Use Cases

• Calculating the percentage of vulnerable populations using children_u5 and elderly columns in high-risk zones
• Evaluating healthcare infrastructure gaps by comparing hospitals_count with access_pop_hospitals_30min
• Assessing district-level coping capacity for disaster response planning using education_count and primary_healthcare_count

Strengths

• Aggregated at admin level 2 for localized district analysis
• Integrates multiple high-quality sources like WorldPop and OpenStreetMap
• Includes specific travel-time accessibility metrics such as 30-minute and 1-hour hospital access

Limitations

• Facility counts are dependent on OpenStreetMap contributor completeness
• Demographic data is derived from WorldPop estimates rather than a recent physical census
• Risk indicators are restricted to flood and cyclone hazards only

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology) via GAIA Pipeline

Collection Method

Aggregated from open data sources including WorldPop, OpenStreetMap, and Google Earth Engine

Freshness

Updated as of March 2026.

Geography

Somalia (Admin Level 2)