Colombia Risk Assessment Indicators: District-Level Flood and Cyclone Data

HeiGIT produced this dataset of risk assessment indicators for Colombia's second-level administrative divisions (ADM2) in 2026. It combines demographic, infrastructure, and hazard exposure data derived from WorldPop, OpenStreetMap, and Google Earth Engine to support flood and cyclone resilience analysis.

Use Cases

• Evaluating disaster resilience by mapping access_pop_primary_healthcare_30min against flood exposure zones
• Prioritizing humanitarian aid for districts with high children_u5 and elderly populations
• Quantifying infrastructure gaps using education_count and hospitals_count per administrative unit

Strengths

• Aggregated at administrative level 2 for localized district-level analysis
• Includes multi-modal accessibility metrics such as travel time to hospitals (30, 60, 120 minutes)
• Integrates data from three primary open sources: WorldPop, OpenStreetMap, and Google Earth Engine

Limitations

• Facility counts like education_count are subject to OpenStreetMap's varying data density in remote or rural regions
• Demographic data is derived from WorldPop spatial modeling rather than a direct national census

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Updated as of March 2026.

Geography

Colombia