Author(s): Jayden Monson, Katie Young, Mary, Beckstead, Sydney Thomas
Mentor(s): Franz Busse
Institution BYU
This research by the BYU Homelessness Impact Lab analyzes homelessness in Utah through a comprehensive system evaluation. System insights and theoretical frameworks are developed through the analysis of Point-in-Time (PIT) count, Housing Inventory Count (HIC), published Homeless Management Information System (HMIS) data, and a literature review. The study provides an in-depth exploration of homelessness, its causes, and the interventions addressing it. The research begins with an examination of current data collection methods, identifying critical limitations in accuracy and comprehensiveness. It then delves into the demographics of homelessness in Utah, highlighting subpopulations such as individuals with mental health conditions, victims of domestic violence, and those experiencing chronic homelessness. Overrepresentation of racial and ethnic minorities is addressed, along with other patterns seen in demographic distributions of the homeless population. Utilizing data from within these populations is emphasized and geographic analysis identifies clusters of homelessness across Utah, revealing disparities in service availability Next, the research investigates the consequences and barriers faced by individuals experiencing homelessness, including mental and physical health challenges, safety risks, and systemic barriers to housing stability. Quantitative estimates are provided to contextualize the prevalence of these issues. Additionally, the research explores paths into homelessness, framing the path to homelessness as a combination of systemic risk factors, feeder systems, and antecedent events. The research also deconstructs the structure of Utah's homelessness response system, analyzing government frameworks, nonprofit networks, funding streams, and historical approaches to homelessness. A detailed mapping of intervention types across Utah highlights their distribution and coverage. The research concludes by identifying systemic gaps and offering recommendations for improving data collection, service delivery, and resource allocation. This system analysis provides a foundation for future research and policy aimed at reducing homelessness in Utah. Keywords: Homelessness, Utah, system analysis, data collection, interventions, systemic gaps, demographics