Understanding the Characteristics and Trajectories of Salt Lake County’s Homeless

• In Event: Quantitative Applications in Criminal Justice Research

Abstract

This study aimed to understand the characteristics and trajectories of homeless individuals in Salt Lake County to assess the adequacy and effectiveness of services supporting their transition out of homelessness. The research focused on two key objectives:

1. Statistical modeling utilizing Hidden Markov Models (HMMs) identified distinct classes of homeless individuals based on their patterns of criminal justice contact, shelter use histories, and behavioral health indicators.

2. The study has followed these identified classes prospectively for one year and will now analyze patterns in shelter use, arrests, housing status, and utilization of various services, including Medicaid-covered treatments. In addition to modeled class, longitudinal models will incorporate predictors such as pre-existing mental health conditions, veteran status, disabilities, criminal histories, and housing insecurity.

Analysis of these objectives will be completed by June 2025. Findings will inform interventions targeting homelessness by highlighting opportunities for tailored support strategies, early intervention programs, and policy changes. The study aims to improve service efficacy and resource allocation, as well as enhance the overall system response to homelessness, providing valuable insights for policymakers and service providers.

Authors

• Kort Prince, University of Utah

• Christian Sarver, University of Utah