Tanzania Risk Assessment Indicators: District-Level Flood and Service Access

HeiGIT produced this dataset of risk assessment indicators for Tanzania at the administrative level 2 (district) to facilitate flood hazard analysis. It integrates data from WorldPop, OpenStreetMap, and Google Earth Engine to quantify demographics, service accessibility, and infrastructure counts. The records were last updated in March 2026.

Use Cases

• Evaluating healthcare accessibility by comparing access_pop_hospitals_30min against total district population
• Identifying high-risk areas for flood response by correlating flood_exposure with elderly and children_u5 counts
• Planning educational infrastructure by analyzing education_count alongside access_pop_education_5km

Strengths

• Aggregated at admin level 2 using standardized HDX COD-AB boundaries
• Integrates multi-source data from WorldPop, OpenStreetMap, and Google Earth Engine
• Provides specific travel-time thresholds (30min, 1h, 2h) for healthcare access

Limitations

• Potential undercounting of facilities like hospitals_count in areas with low OpenStreetMap contributor activity
• Temporal staleness of underlying WorldPop or OSM data depending on the specific layer extraction date

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Last updated March 2026.

Geography

Tanzania