The data sources, math, and assumptions behind the Campus Opportunity Calculator's student attrition estimate.
A student leaving college can mean several years of tuition revenue lost. The Campus Opportunity Calculator estimates how much tuition is at risk at your institution and how much improved retention could preserve.
Here's how we arrive at those numbers.
The calculator starts with data from IPEDS, the U.S. Department of Education's college data system (IPEDS data files). It's pre-filled for about 2,400 public and private nonprofit colleges, and we use four main measures:
We also estimate how many more years a returning student typically stays, using your school's retention and graduation rates.
The eight-year outcome data follows an earlier group of students, those who started in 2016–17. We apply that historical pattern to the current entering class to estimate how many may leave in later years.
Pre-filled numbers come from the 2024–25 provisional IPEDS release. Provisional data has passed the Department's initial review but may still be revised. You can edit any number that doesn't match your institution's records.
We calculate two sources of tuition at risk.
1. Students who don't return after their first year
Number of students who don't return × annual net tuition × estimated years they would have stayed.
2. Students who leave in later years
Expected later departures × annual net tuition × estimated years of tuition remaining.
For example, at the calculator's sample school (the national median for public four-year institutions):
Together, those departures represent approximately $5.8 million to $7.5 million in tuition at risk from a single entering class.
The estimate is a range because we can't know exactly when students will leave. For later departures, the calculator assumes between one and two years of tuition remaining. At community colleges and branch campuses, that range is six months to one year. We think this is a cautious choice: in National Student Clearinghouse data, only about 7% of working-age adults with some college and no credential have two or more years of full-time-equivalent enrollment in the past decade, which means most students leave earlier (National Student Clearinghouse Research Center, Some College, No Credential, 2025).
You can adjust the calculation to better reflect your institution.
Part-time students: Including part-time enrollment is off by default for four-year institutions and on by default for community colleges, where most students attend part-time. Each part-time student is counted as about 0.4 of a full-time student, based on the IPEDS full-time-equivalent conversion factor. Part-time students aren't included in the first-year retention rate, which covers full-time students only.
State funding: Public institutions can include state funding that may be lost when students leave. It's on by default for public community colleges, where state funding often brings in more per student than tuition does. The starting assumption is that 50% of per-student state funding is at risk. That's an adjustable assumption, not a measured national average, so you can change it to reflect your state's funding model. Local funding isn't included. About 49 colleges that report finances for a whole district, mostly in California, start with the median state funding for similar public colleges in their state.
Community colleges and branch campuses: Many students who leave a community college are transferring to finish a bachelor's degree, which is a successful outcome. So at two-year colleges, and at branch campuses where at least 30% of students move on to another campus, the calculator counts only students who stop out without a credential.
The calculator offers three recovery scenarios, each scaled to your school:
These settings are informed by randomized studies of proactive coaching and targeted outreach. Individual coaching raised retention by 5.3 percentage points after one year (Bettinger and Baker, 2014), and Georgia State's data-driven text outreach raised fall registration by about 2 points (Page, Lee, and Gehlbach, 2020). The same research shows that generic, untargeted messages have little effect on their own (Bird and colleagues, 2021). Results came from pairing the right tools with proactive advising, which is how the scenarios should be read.
To avoid overstating the opportunity, the calculator caps additional first-year returners at 15% of students who otherwise wouldn't return. That's the top of the range the coaching studies achieved. Institutions with already-high retention rates will have a ceiling below five points, and the calculator tells you when that's the case. A few schools are capped even at one point and see a single result.
The recovery estimate includes two groups:
At the sample school, the ceiling is three points. The Middle scenario, a two-point improvement in first-year retention, represents approximately $479,000 to $718,000 in tuition preserved. Cautious represents about $239,000 to $359,000, and Ambitious about $718,000 to $1.1 million.
Each recovery range is a 20% margin around the central estimate. It represents a potential outcome, not guaranteed revenue.
For context, you can also compare your retention rate against institutions in the same sector and Carnegie classification. Where fewer than 15 peers are available, the calculator uses institutions of the same sector and level (two-year or four-year) nationally.
If essential IPEDS data is missing, the calculator won't generate a result from incomplete information. You can enter your own figures to fill the gaps. Clearing an edited field restores its default when available.
The calculation focuses on tuition and eligible state funding. It doesn't capture additional consequences of attrition, including recruiting costs, student debt, reputational effects, or changes to performance-based funding.
For more on those costs and where schools can step in, read What Student Attrition Really Costs Your Institution.
Each calculator area is a separate estimate. Attrition and transfer concern different groups of students, while staff capacity is measured in hours. The three results aren't intended to be added together.
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