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

HeiGIT provides risk assessment indicators for Kenya across seven data layers aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine as of 2026.

Use Cases

• Flood risk modeling using KEN_ADM2_flood_exposure to identify high-risk districts
• Healthcare accessibility analysis by comparing access_pop_hospitals_30min against elderly population counts
• Educational resource allocation by mapping education_count against pop_u15 demographics

Strengths

• Aggregated at administrative level 2 (districts) for localized analysis
• Includes travel-time based accessibility metrics (30min, 1h, 2h) derived from openrouteservice
• Integrates multi-source data from WorldPop, OpenStreetMap, and Google Earth Engine

Limitations

• Facility counts like education_count are subject to OpenStreetMap completeness, which varies by region
• Potential temporal mismatch between source layers like WorldPop and OpenStreetMap

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Last updated March 2026.

Geography

Kenya (Admin Level 2)