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

HeiGIT provides risk assessment indicators for Djibouti at the admin level 2 (district) scale, integrating data from WorldPop, OpenStreetMap, and Google Earth Engine. The dataset includes seven thematic layers covering demographics, service accessibility, and flood exposure to support disaster resilience analysis. It was last updated in March 2026.

Use Cases

• Assessing healthcare accessibility using access_pop_hospitals_30min and access_pop_primary_healthcare_30min
• Identifying high-risk demographic groups for flood response using children_u5 and elderly columns
• Mapping infrastructure gaps by comparing education_count across different ADM2_PCODE regions

Strengths

• Aggregated at admin level 2 for localized district-level analysis
• Integrates multi-source data from WorldPop, OpenStreetMap, and Google Earth Engine
• Provides specific travel-time accessibility metrics for healthcare and education

Limitations

• Facility counts are dependent on OpenStreetMap contributor activity and may be incomplete in remote areas
• Specific indicator definitions for the Flood Exposure and Vulnerability layers are not explicitly detailed in the schema

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

Djibouti