This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates. A Bayesian model averaging approach is utilized to account for uncertainty in variable selection in modeling graduation rates. Evidence suggests that graduation rates can be predicted by religious affiliation, proportion of students enrolled full-time, socioeconomic status of the student body, enrollment size and to a lesser extent, institutional revenue and spending. Findings also demonstrate that a limited, and somewhat different group of variables serve to support or hinder institutional graduation rates for Latina/o and African American students. We conclude with implications for policy and key recommendations for research focused on 4-year BAIs.