Togo Risk Assessment Indicators: District-Level Flood and Demographic Data

HeiGIT provides risk assessment indicators for Togo aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, environmental, and infrastructure data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.

Use Cases

• Assessing healthcare gaps by analyzing access_pop_hospitals_30min across districts
• Planning flood response by mapping children_u5 against flood_exposure layers
• Quantifying educational infrastructure needs using education_count

Strengths

• Aggregated at admin level 2 for sub-national analysis
• Includes travel-time metrics (30min/1h/2h) for healthcare access
• Derived from the validated HeiGIT GAIA Pipeline

Limitations

• Potential under-representation of facilities in OpenStreetMap-sparse regions
• Specific column definitions for rural population and vulnerability layers are missing from the documentation

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Last updated March 2026.

Geography

Togo