Seychelles Risk Assessment Indicators: District-Level Hazard and Demographic Data

HeiGIT developed this dataset of risk assessment indicators for Seychelles at the admin level 2 (district) scale, updated in March 2026. It integrates demographic, infrastructure, and hazard exposure data from WorldPop, OpenStreetMap, and Google Earth Engine to facilitate flood and cyclone resilience analysis.

Use Cases

• Assessing healthcare accessibility using access_pop_hospitals_30min to identify underserved populations
• Mapping demographic vulnerability by correlating children_u5 and elderly counts with hazard exposure
• Quantifying district-level infrastructure resilience using education_count and primary_healthcare_count

Strengths

• Aggregated at admin level 2 (districts) for localized sub-national analysis
• Integrates multi-source data from WorldPop, OpenStreetMap, and Google Earth Engine
• Includes specific travel-time accessibility metrics (30min, 1h, 2h) for healthcare facilities

Limitations

• Facility counts like education_count are subject to OpenStreetMap's mapping completeness in Seychelles
• Demographic data relies on WorldPop modeling which may have estimation variances at the district level

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Freshness

Last updated March 2026.

Geography

Seychelles (Admin Level 2)