Background <p>Conflict patterns in Somalia vary by region, causing uneven disruptions to routine immunization and outbreak control. National summaries often conceal district-level risks. Using conflict-aware geospatial diagnostics can support more targeted subnational planning by identifying areas where insecurity may limit immunization delivery and monitoring.</p> Methods <p>Armed Conflict Location and Event Data (ACLED) conflict events (battles, explosions, or remote violence, and violence against civilians) were aggregated to district-years. Global Moran’s I with queen contiguity and permutation-based <i>p</i>-values and Local Getis-Ord Gi* statistics were applied to identify spatial clustering and hotspots (z &gt; 1.96). Annual hotspot proportion was defined as the percentage of districts classified as hotspots. A static set of 74 district boundaries was used to ensure temporal comparability across the study period.</p> Results <p>Conflict events showed significant positive spatial autocorrelation each year, with Moran’s I = 0.27 (z = 4.61, <i>p</i> &lt; 0.001) in 2015 and Moran’s I = 0.33 (z = 5.50, <i>p</i> &lt; 0.001) in 2023. Districts classified as hotspots comprised 5.4% in 2015, peaked at 10.8% in 2019, and remained at 10.8% in 2023. Multi-year maps showed persistent concentration of conflict in a limited subset of districts rather than dispersion.</p> Conclusions <p>Descriptive spatial diagnostics show recurrent, non-random clustering of violent conflict across Somali districts. The analysis offers an operational, conflict-focused framework to inform subnational immunization microplanning, delivery modality selection, and monitoring when combined with relevant programmatic data. The workflow is reusable for conflict-sensitive planning and surveillance in fragile settings.</p>