Central African Republic Risk Indicators: District-Level Flood and Access Data

HeiGIT released this collection of risk assessment indicators for the Central African Republic in 2026, covering all admin level 2 districts. It aggregates demographic, infrastructure, and flood exposure data from WorldPop, OpenStreetMap, and Google Earth Engine to support disaster resilience analysis.

Use Cases

• Analyzing healthcare accessibility by mapping access_pop_hospitals_30min against total population counts
• Identifying vulnerable populations for disaster response using children_u5 and elderly columns
• Evaluating district-level infrastructure density using education_count and primary_healthcare_count

Strengths

• Aggregated at the sub-national admin level 2 for localized risk analysis
• Includes specific travel-time accessibility metrics derived from openrouteservice
• Integrates multiple authoritative sources including WorldPop and OpenStreetMap

Limitations

• Infrastructure counts are dependent on OpenStreetMap completeness, which may be inconsistent across rural regions
• Specific column definitions for the rural_population and vulnerability files are missing

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Aggregated from secondary sources including WorldPop, OpenStreetMap, and Google Earth Engine via the GAIA Pipeline.

Freshness

Last updated March 2026.

Geography

Central African Republic