South Sudan Risk Assessment Indicators: District-Level Flood and Access Data

HeiGIT provides risk assessment indicators for South Sudan aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from WorldPop and OpenStreetMap via the GAIA Pipeline. Updated in March 2026, it covers essential services and population vulnerability metrics across the country.

Use Cases

• Flood risk modeling using the SSD_ADM2_flood_exposure indicator to identify high-risk districts
• Healthcare accessibility analysis by comparing access_pop_hospitals_30min against total population
• Vulnerability assessment for children using the children_u5 and female_u5 demographic columns

Strengths

• Aggregated at admin level 2 (districts) for localized planning
• Includes multi-source integration from WorldPop, OSM, and Google Earth Engine
• Provides specific travel-time accessibility metrics (30min, 1h, 2h) for healthcare

Limitations

• Dependent on OpenStreetMap completeness, which may have gaps in rural South Sudan infrastructure
• Potential temporal staleness of underlying source data used in the GAIA pipeline

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology) GAIA Pipeline

Collection Method

Aggregated from WorldPop, OpenStreetMap, and Google Earth Engine

Freshness

Last updated March 2026.

Geography

South Sudan