The Research and News Roundup is a monthly blog series that features a curated list of recent news and research related to housing instability, homelessness, and affordable housing. Together, these topics provide insights about the full housing continuum and provide community stakeholders with information about emergent research, promising practices, and innovative solutions related to housing and homelessness.

This month’s Research and News Roundup highlights an innovative partnership to support households facing eviction, local program that supports veterans in overcoming workforce barriers, and key findings from the 2024 State of Housing report .

Stella, developed by the Department of Housing and Urban Development (HUD), serves as an analytical and strategic tool for Continuums of Care (CoCs) to examine the dynamics of their homeless services system performance. 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 fourth installment in a series of blogs examining Charlotte-Mecklenburg’s latest LSA data utilizing the Stella P Module.
This blog provides an overview of returns to homeless, local performance on this metric, and highlights opportunities for performance improvement within the Charlotte-Mecklenburg homeless services system.

Annually, Continuums of Care (CoCs) across the United States conduct the HUD Point-in-Time (PIT) count to gather data on homelessness. The primary goals of the PIT are to estimate the number of individuals and households experiencing homelessness and to better understand their demographics and living conditions. These data are used in tandem with other local and national data to inform policies and programs focused on preventing and ending homelessness. The PIT count has two components: the Sheltered Homeless Census, which counts individuals in shelters, safe havens, or transitional housing, and the Unsheltered Homeless Census, which counts those living in places not intended for habitation, such as streets or vehicles. Together these components provide a comprehensive snapshot of homelessness on one night in January in Charlotte-Mecklenburg.

A previous blog provided data from the 2024 Unsheltered Homeless Census and a discussion of the limitations of the PIT count. This blog provides an overview of the 2024 Sheltered Homeless Census and overall PIT count data.

Stella, developed by the Department of Housing and Urban Development (HUD), serves as an analytical and strategic tool for Continuums of Care (CoCs) to examine the dynamics of their homeless services system performance. 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 third installment in a series of blogs examining Charlotte-Mecklenburg’s latest LSA data utilizing the Stella P Module.
This blog provides an overview of days homeless, local performance on this metric, and highlights opportunities for performance improvement within the Charlotte-Mecklenburg homeless services system.

Almost five years ago, Mecklenburg County Community Support Services introduced the “One Number”. Since its inception in 2019, the “One Number” has served as the primary benchmark for the number of people experiencing homelessness in Charlotte-Mecklenburg.

Generated from the Homeless Management Information System (HMIS), the One Number encompasses individuals enrolled in Emergency Shelter (ES), Transitional Housing (TH), Street Outreach (SO), Permanent Housing (PH) (if no move-in date to housing is recorded yet) and Coordinated Entry (CE) programs in HMIS. It includes both those experiencing sheltered homelessness and a portion of those experiencing unsheltered homelessness. It also provides a comprehensive By-Name List of persons experiencing homelessness in Charlotte-Mecklenburg.

One Number data not only provides an overall count of homelessness in Charlotte-Mecklenburg, but also can be broken down by household and population type and disaggregated by demographic characteristics such as race, ethnicity, gender, and age. In addition, One Number data also facilitates the examination of inflow and outflow patterns associated with homelessness. The Housing Data Snapshot, the hub for the latest data related to housing and homelessness in Charlotte-Mecklenburg, highlights inflow to (Newly identified, Returns from Permanent Housing, Returns for Inactivity) and outflow from (Exit to Permanent Housing, Exit to Inactivity), homelessness.

This week’s blog post provides the most recent One Number update; latest trends and analysis; and what this means for Charlotte-Mecklenburg.