Ethiopia Risk Assessment Indicators: District-Level Flood and Infrastructure Data

HeiGIT's GAIA Pipeline provides risk assessment indicators for Ethiopia's administrative level 2 districts to facilitate flood hazard analysis. The data integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine. It consists of seven thematic layers including demographics, facility counts, and population travel-time accessibility.

Use Cases

• Assessing healthcare vulnerability by correlating access_pop_hospitals_30min with elderly population counts
• Planning emergency education response by identifying districts with high education_count but low access_pop_education_5km
• Quantifying flood impact on vulnerable groups using female_u5 and children_u5 demographics within flood_exposure zones

Strengths

• Granular administrative level 2 (district) aggregation
• Multi-source integration of WorldPop, OpenStreetMap, and Google Earth Engine
• Standardized join keys using ADM2_PCODE across seven thematic layers

Limitations

• Infrastructure counts like hospitals_count are limited by OpenStreetMap's volunteer mapping coverage
• Potential temporal mismatch between demographic data and infrastructure data sources
• Accessibility metrics are dependent on the accuracy of the openrouteservice road network data

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Last updated March 2026 according to source metadata.

Geography

Ethiopia (Admin Level 2)