This study examines Latina/o students' remedial math needs and outcomes. Data were drawn from a national sample of Latina/o students. Hierarchical generalized linear modeling techniques were used to predict three successful remediation outcomes. Results highlight the importance of providing financial aid and academic support to Latina/o students, especially those who have the highest remediation needs. Findings also have direct implications for policy and practice by providing a means for targeting students who are at greatest risk. (This study is based on work supported by the Association for Institutional Research, the National Center for Education Statistics, National Science Foundation,and National Postsecondary Education Cooperative under an Association for Institutional Research Grant for 2013-2014.)