After school programs provide low income students and students of color with learning opportunities across both academic and non-academic domains that such students would otherwise not get. In this study, we examined the intersection of school characteristics (e.g., enrollment size, percent minority enrolled, and percent eligible for FARM) and the types of after school programming schools offered (e.g., fee-based, 21st CCLC, and other types) using binary logistic regression models. I n a sample of schools ( n = 1,601) surveyed by the National Center on Education Statistics 2008 FRSS, we found that under-resourced schools had lower odds of having a 21st CCLC program and higher odds of having a fee-based after school program (than schools with a lower percentage of students receiving FARM). That is counter to the stated goals of the 21st CCLC program. These findings highlight the need for a re-prioritization of 21st CCLC funding such that financial assistance provided to schools to support after school programs is allocated to schools serving students from low income families and communities.
