Haiti and Dominican Republic Risk Indicators at Admin Level 2

Delivering sub-national risk indicators for Haiti and the Dominican Republic at the administrative level 2 (district) scale. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in 2026, it aggregates demographic, infrastructure, and hazard exposure data from sources like OpenStreetMap and WorldPop. The collection supports structured risk assessments specifically for flood and cyclone hazards across eight thematic categories.

Use Cases

• Evaluating emergency medical response capacity using access_pop_hospitals_30min
• Planning school-based disaster shelters using education_count
• Targeting aid to high-risk groups using children_u5 and elderly columns

Strengths

• Admin level 2 granularity for sub-national analysis
• Integrates travel-time accessibility metrics from openrouteservice
• Combines demographic data with specific flood and cyclone exposure layers

Limitations

• Dependent on OpenStreetMap completeness for facility counts which may vary by region
• Potential temporal misalignment between WorldPop and OSM source dates
• Aggregated nature masks intra-district variations

Provenance

Source

HeiGIT GAIA Pipeline (integrating WorldPop, OSM, Google Earth Engine)

Collection Method

Algorithmic aggregation and spatial analysis of open geospatial data

Freshness

Last updated March 2026.

Geography

Haiti and Dominican Republic