In a nation where droughts, displacement, and instability intersect with fragile governance systems, data can be the most powerful tool we have.
Over the last few years, Somalia has faced a series of overlapping crises—from climate shocks to food insecurity and internal displacement. As these challenges multiply, the role of data analytics in designing effective policy responses has never been more critical.
A humanitarian crises in Somalia
Why Data Matters in Humanitarian Policy
For years, policies in fragile contexts like Somalia were driven by assumptions or delayed reports. But that approach can cost lives. Real-time data collection and analytics now allow policymakers to act faster, smarter, and more effectively.
Through dashboards, mobile data, geospatial analysis, and citizen feedback tools, we’re seeing a transformation in how aid is delivered and how gaps are identified.
Take this simple idea: knowing exactly where displaced populations are settling—and correlating it with WASH (Water, Sanitation, and Hygiene) infrastructure—can influence where new boreholes are drilled or latrines built.
Real-time data tools have helped reduce response time in IDP (Internally Displaced Persons) settlements.
The Somalia Use Case: Turning Chaos into Clarity
In 2023–2024, a data analytics initiative was implemented across three regions in Somalia. The goal? To identify which social protection policies were working—and which were leaving people behind.
By analyzing:
Household vulnerability data
Social registry coverage
Market prices and remittance flows
Access to health services
… the policy team was able to advise on scaling the cash transfer program (CCT) in a more equitable, impactful way.
Data-backed reforms allowed for more efficient, targeted land policy discussions.
Key Tools Used
Tableau/ Excel dashboards to visualize trends and service coverage
Python + Pandas for modeling displacement movement and needs
SMS surveys and community feedback loops to validate findings
These tools didn’t just feed reports—they changed how decisions were made in real time.
The Bigger Picture: Data as a Policy Equalizer
Perhaps the most powerful insight is this: Data gives a voice to people who are often left out of the policy process.
When we integrate community feedback, disaggregated gender data, and ground-level observations into high-level planning, the result is not just better policy—it’s more just, more equitable policy.
Conclusion: From Numbers to Action
Somalia is proving that even in crisis, data can build bridges. Between governments and citizens. Between problems and solutions. And ultimately, between what is and what could be.
As we look ahead, the call is clear: Let’s invest in open data, local analytical capacity, and policies that listen—because when data speaks, good policy follows.
Investing in local capacity ensures sustainability and data ownership.
