Rwanda District-Level Risk Indicators for Flood and Disaster Resilience

HeiGIT provides risk assessment indicators for Rwanda aggregated at the district level (admin level 2) to support flood hazard analysis. The dataset integrates demographic data from WorldPop, infrastructure from OpenStreetMap, and accessibility metrics from openrouteservice. It was last updated in March 2026 and covers all districts within the country.

Use Cases

• Flood risk modeling using access_pop_hospitals_30min to identify areas with poor emergency medical access
• Vulnerability analysis by mapping children_u5 and elderly populations against flood-prone zones
• Infrastructure planning by comparing primary_healthcare_count across different districts

Strengths

• Aggregated at admin level 2 for direct integration with national administrative boundaries
• Integrates multi-source data from WorldPop, OpenStreetMap, and Google Earth Engine
• Provides specific travel-time accessibility thresholds (30min, 1h, 2h) for healthcare

Limitations

• Facility counts for education and healthcare are dependent on OpenStreetMap completeness
• Demographic data is derived from WorldPop estimates rather than a direct census

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Derived from the GAIA Pipeline integrating WorldPop, OpenStreetMap, and Google Earth Engine data

Freshness

Last updated March 2026.

Geography

Rwanda