This research brief outlines a methodology for identifying communities that are disproportionately vulnerable to power outages to inform resilience planning, outreach, and utility operations. The study integrates publicly available demographic, health, housing, and mobility data from federal tools to construct a tailored vulnerability index. Key indicators include income levels, age demographics, health conditions such as asthma, housing quality, access to transportation, and linguistic isolation. The methodology emphasizes the importance of selecting context-specific metrics over generalized indices to better capture outage-related vulnerabilities. While the approach is constrained by data availability, geospatial resolution, and static datasets, it provides a replicable framework for utilities to prioritize restoration efforts, enhance community engagement, and improve resilience planning.