Full reports are available on the IR and PAC employee portal sites.

Fall Credit Enrollment Analysis

(October 2015). A comprehensive analysis of fall third-week credit enrollment, including sources of students, retention rates, demographics, placement test results, participation in the FACTS tuition payment plan, high school graduate enrollment rates by high school, programs of study, FTE enrollment by discipline, average class size, and enrollments in online and hybrid courses.

Credit Student Enrollment by Race and Ethnicity

(March 2016). Four-year trends in enrollment by race and ethnicity, including comparisons to county demographics. Also includes enrollment of Carroll County African-American residents in Maryland colleges and universities. Carroll’s market share of African-American undergraduates was 46.3 percent in fall 2014; Towson University was second-most popular, enrolling 6.8 percent.

Spring 2016 Enrollment Report

(March 2016). Credit headcount in spring 2016 was 3,078 students, a decline of 7.1 percent from spring 2015. Declines in students returning after an interruption in studies, and in students transferring in to Carroll from other institutions, contributed to the overall decline. Fall-to-spring retention rates remained high; retention of students starting college full-time in fall 2015 was 86.5 percent, a record high.

Age Cohort Model Forecasts of Credit Enrollment

(March 2016). College enrollment rates and course loads are highly correlated with age. This model applies historical enrollment rate and course load experiences to Carroll County population forecasts by age group. The forecasts are best seen as a reflection of the underlying population demographics that provide a base for the college’s enrollment. The model does not include many variables with short-term influences on enrollment levels.

Component Yield Model Forecasts for Fall 2016 and Fall 2017

(March 2016). The forecasts from this model are aggregates of forecasts for individual components of the college’s credit enrollment. Forecasts are made for returning students, transfers-in, current-year high school graduates, dual-enrolled students, and other first-time students. The model is useful for interpreting actual enrollment, and has been very accurate in the short term. The model projects credit headcount of 3,368 in fall 2016—a 5.1 percent decline from fall 2015.

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