Laos Risk Assessment Indicators: District-Level Hazard and Infrastructure Data

HeiGIT's GAIA Pipeline provides risk assessment indicators for Laos at the administrative level 2 (district) to support flood and cyclone hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.

Use Cases

• Identifying districts with high elderly populations and low access_pop_hospitals_1h for targeted medical aid
• Evaluating flood risk by cross-referencing LAO_ADM2_flood_exposure with primary_healthcare_count
• Calculating school accessibility for the pop_u15 demographic using access_pop_education_5km

Strengths

• Admin level 2 granularity for all indicators
• Integration of WorldPop, OpenStreetMap, and Google Earth Engine data
• Standardized ADM2_PCODE join keys for interoperability

Limitations

• OpenStreetMap facility counts (education_count, hospitals_count) may be incomplete in remote rural areas
• Travel time estimates (access_pop_hospitals_30min) do not account for seasonal road degradation during monsoon seasons

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Updated as of March 2026.

Geography

Laos