Malawi Risk Assessment Indicators for Flood Hazards at District Level
Updated 2mo ago
7filesCSV
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Description
Risk assessment indicators for Malawi aggregated at the administrative district (ADM2) level. The dataset includes seven thematic layers covering demographics, facilities, access to services, coping capacity, vulnerability, rural population, and flood exposure. It was produced by HeiGIT using open data sources like WorldPop, OpenStreetMap, and Google Earth Engine and last updated in March 2026.
Use Cases
Perform structured flood risk assessments based on flood exposure and vulnerability indicators.
Analyze population access to healthcare and education services based on travel time and distance metrics.
Evaluate district-level coping capacity by combining facility counts and population access data.
Study demographic composition and rural population distribution for risk modeling.
Map essential service facilities like hospitals and schools using OpenStreetMap-derived counts.
Strengths
Includes seven distinct thematic layers for multi-dimensional risk analysis.
Aggregated at the ADM2 (district) level for sub-national analysis.
Integrates data from multiple authoritative open sources: WorldPop, OpenStreetMap, and Google Earth Engine.
Specifically designed for structured flood hazard risk assessment.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation for the 'Rural Population' layer is absent; field semantics must be inferred after download.
Last updated 2026-03-17 10:12:18.516259; freshness should be verified.
Provenance
Source
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Collection Method
Derived from HeiGIT's GAIA Pipeline integrating open data sources.
Freshness
Last updated 2026-03-17 10:12:18.516259
Geography
Malawi
License is CC-BY-SA-4.0. The dataset uses HDX COD-AB boundaries for spatial aggregation.