Oman Risk Assessment Indicators: District-Level Flood and Cyclone Metrics

HeiGIT (Heidelberg Institute for Geoinformation Technology) released this dataset in 2026 providing risk assessment indicators for Oman at the administrative level 2. It aggregates demographic, infrastructure, and environmental data from WorldPop and OpenStreetMap to support flood and cyclone hazard analysis across multiple CSV files.

Use Cases

• Assessing healthcare resilience by analyzing the access_pop_hospitals_30min column relative to district population
• Disaster preparedness planning by identifying districts with high elderly populations and high cyclone_exposure
• Infrastructure gap analysis using education_count and primary_healthcare_count to locate underserved regions

Strengths

• Integrates travel-time accessibility metrics (30, 60, 120 minutes) for healthcare
• Aggregates data at the sub-national administrative level 2
• Combines demographic data from WorldPop with infrastructure data from OpenStreetMap

Limitations

• Facility counts are dependent on OpenStreetMap contributor activity which may vary by region
• The coping capacity and vulnerability indicators are derived aggregates which may mask underlying data variance

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Aggregated via the GAIA Pipeline using WorldPop, OpenStreetMap, and Google Earth Engine

Freshness

Last updated March 2026.

Geography

Oman (National, Admin Level 2)