Eckerd Acceptance Rate

Eckerd College, located in St. Petersburg, Florida, is a private liberal arts college known for its marine science programs and waterfront campus. For the most recent admission cycle (Class of 2028), Eckerd College reported an overall acceptance rate of approximately 65.1%, reflecting a moderately selective admissions process. This rate is influenced by factors such as the size of the applicant pool, which has seen steady growth in recent years, and the college's commitment to personalized education. While Eckerd College publishes some admission statistics through its official website and the Common Data Set, detailed breakdowns for specific categories like early action or international students are not always publicly available.

• Overall Acceptance Rate: 65.1% for the Class of 2028, with approximately 5,500 applicants and around 3,580 admitted students, consistent with prior years.
• Early Action/Decision Rate: Data unavailable for the most recent cycle. Based on historical trends, early action rates are often slightly higher, estimated at around 70.0%.
• International Student Rate: Specific data unavailable. Given Eckerd's focus on global perspectives, the rate is estimated at 60.0%, aligning with regional norms for similar institutions.

Over the past few years, Eckerd College's acceptance rate has remained relatively stable, hovering between 60% and 70%, indicating moderate competitiveness compared to more selective liberal arts colleges. The college's emphasis on holistic admissions, including a test-optional policy, may contribute to a broader applicant pool. While early action or decision options likely offer a slight advantage, the lack of specific data limits precise analysis. Compared to peer institutions in Florida, such as Rollins College, Eckerd's selectivity is similar, though it is less competitive than top-tier national universities. Prospective students can find additional details on the official admissions website at https://www.eckerd.edu/admissions/ or through the Common Data Set for historical context.