This session will provide participants with the tools needed to access and utilize publicly available data with a focus on health equity. Attendees will learn how to identify key data sources specific to San Diego County, particularly those that highlight disparities among underrepresented population such as LGBTQ+, tribal communities, and homeless individuals and how to apply these insights to improve overall health outcomes. The session will also explore techniques for comparing data across various indicators to uncover disparities, empowering participants to use the analyzed data to inform program development and policy decisions. By the end of the session, participants will have a solid foundation in leveraging local data to drive equitable outcomes for all populations in the region.

Learning Objectives:

1. Identify publicly available data sources relevant to San Diego County with a focus on health equity.

2. Demonstrate how to utilize datasets to uncover trends and disparities.

3. Apply evaluated data to real-world programs aimed at improving community health outcomes.

Need Addressed by Program:

Focusing on health equity, this presentation helps organizations identify underserved populations and ensures that data-driven decisions improve outcomes for all residents.

Outcomes:

· Participants will leave the session with a practical understanding of how to access, analyze, and apply data to real-world scenarios.

· Expected outcomes include improved decision-making processes, better-informed policy development, and the ability to implement data-driven strategies for health equity.

Potential Replication:

This presentation's methods for accessing and utilizing publicly available data can be replicated by other counties or organizations seeking to improve health equity.