Burundi Risk Assessment Indicators: Admin Level 2 Flood and Demographic Data

Burundi Risk Assessment Indicators provides demographic, infrastructure, and flood exposure data aggregated at the administrative level 2 (district). Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) via the GAIA Pipeline, the data integrates WorldPop and OpenStreetMap sources as of March 2026.

Use Cases

• Evaluating healthcare gaps by analyzing the percentage of population within 30 minutes of a hospital using access_pop_hospitals_30min
• Disaster response planning by identifying districts with high concentrations of vulnerable groups using children_u5 and elderly columns
• Assessing educational infrastructure needs by comparing education_count against pop_u15 demographics

Strengths

• Aggregated at Admin Level 2 for district-specific risk modeling
• Combines demographic data from WorldPop with infrastructure data from OpenStreetMap
• Includes pre-calculated travel-time accessibility metrics for healthcare and education

Limitations

• Facility counts are subject to the completeness of OpenStreetMap data in rural regions
• Risk indicators are aggregated at the district level, which may mask sub-district variations in flood exposure

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology) GAIA Pipeline

Collection Method

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

Freshness

Last updated March 2026

Geography

Burundi