Using bivariate and multivariate models, the authors find that individual characteristics are associated with community costs accrued by a sample of individuals who were homeless for one year and then housed for one year (N = 41). Higher pre-Housing First total costs are associated with male gender and those with physical health conditions or physical and mental health conditions combined; post-Housing First, age and disability status dissipate as predictors of total costs. Significant individual level predictors of pre- and post-Housing First costs across the 11 community cost domains include male gender, age, racial identity, duration of homelessness, and disability status. (author abstract)