Yemen Risk Assessment Indicators: District-Level Flood and Access Data

A source of risk assessment indicators for Yemen aggregated at the administrative level 2 (district) across seven thematic categories including flood exposure and healthcare access. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) via the GAIA Pipeline, it integrates data from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.

Use Cases

• Evaluating emergency medical reach by analyzing the access_pop_hospitals_1h column
• Identifying high-risk populations for flood relief using children_u5 and elderly counts
• Assessing educational infrastructure density via the education_count field

Strengths

• Aggregated at admin level 2 (district) for sub-national targeting
• Integrates travel-time accessibility metrics (30/60/120 min) for hospitals
• Combines demographic data from WorldPop with infrastructure from OpenStreetMap

Limitations

• Facility counts (e.g., hospitals_count) are dependent on OpenStreetMap contributor activity
• Potential for temporal lag in demographic estimates in conflict zones

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Updated as of March 2026.

Geography

Yemen