How We Estimate Tuition from Transfer Students Who Never Apply

Some prospective transfer students explore an institution but never submit an application. Uncertainty about how their existing credits will apply toward a degree may be one reason. In a 2024 survey of 602 transfer and returning learners, half said they wouldn't apply if they didn't know how much of their credit would transfer (EducationDynamics and DegreeSight, 2024).

These students are difficult to account for because they never enter the application funnel. The Campus Opportunity Calculator uses available enrollment data and national benchmarks to estimate the potential tuition opportunity.

The calculator first asks whether your institution actively recruits transfer students. It selects Yes to start when transfers made up at least 5% of your entering class in fall 2024, and you can change the answer.

If so, we start with three measures from IPEDS, the U.S. Department of Education's college data system (IPEDS data files):

• Transfer enrollment: Students who entered your institution as transfers in fall 2024 (IPEDS Fall Enrollment).
• Net tuition: Average annual tuition revenue per student after institutional aid (IPEDS Finance, FY 2023–24).
• Expected years enrolled: How long transfer students typically stay, estimated from the share of full-time transfer students who earn a credential (IPEDS Outcome Measures).

IPEDS doesn't report transfer inquiries or applications, so we estimate the size of your prospective transfer funnel with two national benchmarks:

• Applications to enrollment: About 32% of transfer applicants enroll. Four-year colleges admitted 60.6% of transfer applicants, and 52.1% of those admitted enrolled, in the fall 2018 admission cycle (NACAC, 2019 State of College Admission).
• Inquiries to applications: The median rate at which transfer inquiries became applications in fall 2018 was 68% at four-year public institutions and 45% at four-year private institutions (RNL, 2019 Recruitment and Yield Rate Benchmarks).

These benchmarks provide a starting point, but they're several years old and come from four-year institutions. Your institution's actual conversion rates may differ considerably.

If you enter your own inquiry and application counts, the calculator uses those figures instead. Replacing the national assumptions with your institution's data is one of the best ways to improve the estimate, especially at community colleges.

Pre-filled institutional data comes from the 2024–25 provisional IPEDS release, which may be revised.

We estimate the opportunity in four steps.

1. Identify prospective students who didn't apply

Transfer inquiries − transfer applications = prospective students who expressed interest but didn't apply.

2. Estimate how many may have been deterred by credit uncertainty

We apply a range of 25% to 50% to the group identified above.

The 50% high end comes from the 2024 EducationDynamics and DegreeSight survey, in which half of transfer and returning learners said they wouldn't apply without knowing how much of their credit would transfer. The 25% low end is our own assumption, half the survey rate. The research doesn't establish that credit uncertainty accounts for 25% to 50% of an individual institution's missing applications, so treat this range as illustrative.

3. Estimate potential additional enrollment

We multiply that group by the share of transfer applicants who enroll at your institution (transfer enrollment ÷ applications).

4. Calculate potential tuition

Potential additional transfer students × annual net tuition × expected years enrolled.

For our sample school (the national median for public four-year institutions), about 526 transfer students enroll, which suggests roughly 1,670 applicants, 2,450 inquiries, and about 780 interested students who never applied. The calculation produces approximately $703,000 to $1.4 million in potential tuition from one year's prospective transfer population.

The range primarily reflects uncertainty about how many nonapplicants were discouraged by unclear credit applicability.

It represents a possible enrollment opportunity, not revenue the institution has already lost or is guaranteed to recover.

The calculator models how much of this opportunity an institution might capture by helping prospective students understand how their previous coursework would apply to a degree.

Three scenarios are available:

• Cautious: 20% of the identified prospects enroll.
• Middle: 30% enroll.
• Ambitious: 40% enroll.

These percentages are scenario assumptions. No published study currently establishes that providing clearer credit applicability information produces these specific enrollment gains.

At the sample school, the Middle scenario represents about $211,000 to $422,000 in tuition.

The scenarios allow institutions to explore the financial implications of different outcomes and adjust their expectations accordingly.

For additional context, the calculator compares the share of your incoming students who transferred against institutions in the same sector and Carnegie classification. When fewer than 15 peers are available, it uses institutions of the same sector and level (two-year or four-year) nationally.

If transfer inquiries don't exceed applications, there is no measurable gap to estimate. The calculator also withholds a result when essential public data is missing.

You can enter your own inquiry and application figures to improve the estimate.

If your institution doesn't actively recruit transfer students, selecting No directs you to the student attrition calculation instead.

The calculation focuses on prospective transfer students who never applied. It excludes recruiting expenditures, feeder-college relationships, and credit loss experienced by students who do enroll. Credit loss after enrollment matters too: students who kept almost all of their credits were 2.5 times as likely to earn a bachelor's degree as those who kept less than half (Monaghan and Attewell, 2015). We leave it out of this estimate so it doesn't overlap with the attrition calculation.

For more on these costs and where schools can step in, read The Hidden Cost of Missed Transfer Enrollment.

The calculator's three areas are independent. Attrition and transfer concern tuition from different student populations, while staff capacity is measured in hours. The results shouldn't be combined into a single total.

Calculate your transfer enrollment opportunity →

Open See the full math to review the assumptions and calculations behind your result, or download a summary to share with your team.

• IPEDS complete data files, U.S. Department of Education, National Center for Education Statistics: Fall Enrollment (fall 2024), Finance (FY 2023–24), and Outcome Measures, 2024–25 provisional release.
• EducationDynamics and DegreeSight, Education Reengagement (December 2024): survey of 602 transfer and returning learners; 50% would not apply without knowing how much credit would transfer.
• NACAC, 2019 State of College Admission, chapter 1: average transfer acceptance rate 60.6% and transfer yield 52.1%, fall 2018.
• RNL, 2019 Recruitment and Yield Rate Benchmarks: median transfer inquiry-to-application rates of 68% (four-year public) and 45% (four-year private), fall 2018.
• Monaghan, D. B., and Attewell, P. (2015). The Community College Route to the Bachelor's Degree. Educational Evaluation and Policy Analysis.