Mozambique Risk Assessment Indicators: District-Level Flood and Cyclone Data

Mozambique risk assessment indicators aggregated at administrative level 2 for flood and cyclone hazard analysis. Produced by HeiGIT via the GAIA Pipeline, the data integrates WorldPop, OpenStreetMap, and Google Earth Engine sources as of March 2026.

Use Cases

• Evaluating healthcare reach by analyzing access_pop_hospitals_30min alongside primary_healthcare_count
• Prioritizing disaster response for vulnerable populations using children_u5 and elderly demographic counts
• Modeling district coping capacity by combining education_count with infrastructure accessibility metrics

Strengths

• Admin level 2 granularity for localized risk assessment
• Travel-time metrics (30/60/120 min) for healthcare access
• Standardized ADM2_PCODE join keys for integration with other HDX datasets

Limitations

• Potential data gaps in rural areas where OpenStreetMap facility mapping (education_count, hospitals_count) may be incomplete
• District-level aggregation hides localized hotspots of vulnerability within large administrative boundaries

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Derived via the GAIA Pipeline integrating WorldPop, OpenStreetMap, and Google Earth Engine sources.

Freshness

Last updated March 2026.

Geography

Mozambique