Compound Risk Assessment Mapping (CRAM) for Somalia
Somalia Stability Fund (SSF)
For 
The Somalia Compound Risk Assessment Mapping (CRAM) is an innovative approach developed for the Somalia Stability Fund (SSF). It integrates multiple data layers—ranging from conflict incidents and market price anomalies to Flood and Drought Hazard Index—to identify areas most at risk. This helps SSF and stakeholders plan and prioritise interventions more effectively.

Project Details

Our Compound Risk Assessment Mapping (CRAM) for Somalia is designed to support the Somalia Stability Fund (SSF) in making informed, data-driven decisions. By analysing and layering multiple indicators — such as precipitation anomalies, flood and drought hazard risks, migration patterns, land productivity, transhumance routes, food price fluctuations, conflict incidents and more — the CRAM identifies areas where risks intersect and intensify. This integrated approach allows for more accurate planning and more strategic allocation of humanitarian and development resources.

Risk Exposure Map Somalia
Figure 1. Risk Exposure. By overlaying long-term risk scores with population distribution, we reveal where large numbers of people are subject to high levels of risks. The deeper mixed colors indicate areas facing both high risk and significant population pressure.
Figure 2. Interactive Dashboard.
Figure 2. Interactive Dashboard. This interactive dashboard merges the CRAM risk maps with real-time data on ongoing SSF activities. Users can filter by project status, partner organisation, or region, then visualise how and where programs align with the latest risk assessments. Tabs also allow for detailed dashboards visualising Risk Incidents, IDP movements, Transhumance Routes etc.
Figure 3. Example of precipitation Anomaly indicator for 2024 Deyr Season.
Figure 3. Example of precipitation Anomaly indicator for 2024 Deyr Season. Deep red regions indicate significantly below-average rainfall during the previous Deyr (October–December) rainy season. These deficits increase the likelihood of water shortages, poor harvests, and drought stress—especially in areas already grappling with conflict or market instability.

With recent enhancements, the CRAM also processes near real-time data on rainfall (see figure 3.), market prices, and local security incidents, enabling shorter-term risk forecasts. By pinpointing hotspots where conflict, drought, and economic stress converge, SSF and its partners can respond proactively with targeted interventions. Furthermore, interactive mapping and dashboard tools (see figure 2.) help stakeholders visualise and explore these complex risk layers, strengthening coordination across government agencies, international organisations, and local communities.

The CRAM approach continues to evolve—incorporating near real-time data on precipitation, conflict, and food prices. By integrating these insights, SSF and partners can respond faster and more effectively, bolstering resilience and stability across Somalia.

For more information, please contact Head of PeaceTech, Kristian Svendsen:
Conflict Management Consulting (CMC)
Email: Kristian.Svendsen@cmc-consult.eu

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