Thailand District-Level Risk Indicators for Flood and Cyclone Hazards

Thailand risk assessment indicators for flood and cyclone hazards are provided across eight thematic CSV files aggregated at the administrative level 2 (district). Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in 2026, the data integrates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap.

Use Cases

• Identifying districts with high `elderly` populations and low `access_pop_hospitals_30min` for emergency response planning
• Comparing `education_count` against `pop_u15` to evaluate educational infrastructure density per district
• Mapping `flood_exposure` against `children_u5` to prioritize humanitarian aid in high-risk zones

Strengths

• Aggregated at administrative level 2 (district) for localized analysis
• Includes travel-time metrics (30/60/120 minutes) for healthcare access
• Integrates high-resolution WorldPop demographic data

Limitations

• Facility counts like `hospitals_count` depend on OpenStreetMap completeness, which varies by region
• Hazard exposure levels are modeled rather than historical observation records

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Updated as of March 2026

Geography

Thailand