The Stella Performance Module (Stella P) visualizes a homeless system’s performance using the CoC’s Longitudinal System Analysis (LSA) data. Stella P empowers communities to develop and monitor strategies to improve system performance. This blog is the fifth and final installment in a series of blogs examining Charlotte-Mecklenburg’s latest LSA data utilizing the Stella P Module.
This blog provides an overview of demographic data, disaggregated data for the LSA’s three primary metrics: days homeless, system exits, and returns to homelessness, and highlights opportunities to improve equity within the Charlotte-Mecklenburg homeless services system.
Previous blogs provided an overview of LSA data and the Stella P dashboard and system performance map, system exits, days homeless, and returns to homelessness. This blog focuses on the demographics section of Stella P and provides information on the three key metrics by race and ethnicity.