The Somalia Municipality Risk Dashboard integrates multiple geospatial datasets to assess hazard exposure, vulnerability, and overall disaster risk across municipalities. Each hazard layer is modelled independently before being combined with exposure and vulnerability indicators to produce standardized municipality-level risk information. The full technical methodology, including data sources, modelling approaches, and validation procedures, is documented in the documentation section of the dashboard.
Each hazard layer is independently modelled and normalised to a common 0–10 risk scale. Hazard, exposure, and vulnerability indicators are integrated at the municipality level to support evidence-based planning, investment prioritisation, and disaster risk reduction.
Hazard layers quantify the likelihood and intensity of natural and human-induced hazards affecting municipalities.
Exposure datasets identify the population, infrastructure, and assets located within hazard-prone areas.
Socio-economic indicators are used to estimate how susceptible communities are to disaster impacts.
All indicators are standardised and weighted using expert judgement. The resulting municipality risk index is validated against historical disaster impacts and available ground-reference information before publication.
Current Level: High
Riverine and pluvial flooding are modelled using hydrodynamic simulations for multiple return periods.
Current Level: Critical
Drought severity is classified using SPI, SPEI, and NDVI anomalies against long-term climatic baselines.
Current Level: Elevated
Conflict exposure is derived from ACLED conflict event density aggregated to municipality boundaries.
The dashboard integrates authoritative national and international geospatial datasets, including:
