Liberia Risk Assessment Indicators: District-Level Flood and Infrastructure Data

HeiGIT produced these risk assessment indicators for Liberia at the admin level 2 (district) scale to support flood hazard analysis. The data integrates demographic, environmental, and infrastructure layers derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.

Use Cases

• Estimating flood impact on healthcare by cross-referencing access_pop_hospitals_30min with flood exposure zones
• Targeting humanitarian aid for vulnerable groups using children_u5 and elderly population counts
• Assessing infrastructure gaps by analyzing education_count and primary_healthcare_count per district

Strengths

• Admin level 2 (district) spatial resolution
• Includes travel-time accessibility metrics (30, 60, and 120-minute intervals)
• Integrates multi-source data from WorldPop, OSM, and Google Earth Engine

Limitations

• Facility counts (education_count, hospitals_count) are dependent on OpenStreetMap completeness, which may vary in rural regions
• Demographic data is modeled via WorldPop rather than direct census counts

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology) GAIA Pipeline

Collection Method

Aggregated from open data sources including WorldPop, OpenStreetMap, and Google Earth Engine

Time Range

null

Freshness

Updated as of March 2026.

Geography

Liberia