PublishedAugust 26, 2026
UpdatedAugust 26, 2026

The Published Acceptance Rate Isn't Built for International Applicants

Boris Berenberg

Boris Berenberg

At 57 schools we checked, published acceptance rates blend domestic and international applicants into one number. For 45 of them, that number overstates the international applicant's odds.

We pulled Common Data Set filings for 57 schools where both domestic and international applicant and admit counts were separately published, and split each school's overall acceptance rate into its two component rates. At 45 of those 57 schools, the international rate is lower than the domestic rate. The median gap is 1.4x — modest, on its face.

The median is the least useful number in this dataset. The gaps range from barely detectable to 12.7x, and at the other end of the distribution, the pattern flips entirely: twelve schools admit international applicants at a higher rate than domestic ones. There is no single "international penalty" hiding inside these numbers. There is a wide, uneven spread, and a published rate that describes almost nobody exactly.

This is not a study of American higher education. It's 57 specific schools where we could get both counts from official filings and check the arithmetic ourselves. Where a school didn't publish an international breakdown, it isn't in this analysis — and that absence is itself part of the story, covered below.

The ten widest gaps

School

Published rate

Domestic rate

International rate

Gap

Hofstra University

72.67%

78.18%

6.14%

12.7x

Carleton College

21.78%

38.45%

4.01%

9.6x

Bates College

14.83%

27.57%

3.18%

8.7x

Davidson College

12.62%

19.44%

2.38%

8.2x

University of Arkansas

73.88%

77.02%

11.53%

6.7x

Wellesley College

14.79%

21.42%

3.42%

6.3x

Haverford College

13.31%

22.21%

3.81%

5.8x

Vassar College

20.93%

28.90%

4.99%

5.8x

Oberlin College

33.01%

44.41%

11.11%

4.0x

Brandeis University

45.41%

61.29%

17.95%

3.4x

At Hofstra, the published 72.67% acceptance rate sits closer to the domestic figure (78.18%) than the international one (6.14%) — because domestic applicants are the much larger group in the blend. An international applicant reading "72.67% acceptance rate" and calibrating their list around it is working from a number roughly 12 times too generous for their actual odds. Carleton's published 21.78% and Bates's 14.83% tell a similar story: comfortably selective on paper, and dramatically more selective for the population that isn't reflected proportionally in the published figure.

We've published full breakdowns for four of these schools: Hofstra, Carleton, Bates, and Binghamton (the last of which reverses the pattern — see below).

None of these schools' Common Data Set filings explain why the gap exists. We are reporting the arithmetic, not a motive. Financial aid budgets, visa and enrollment planning, and yield management are all plausible mechanisms that could produce a gap like this — and none of them is documented in the source data we checked. We're not asserting which one applies at any given school, and neither should you.

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A blended rate describes a population you may not be in

The core mechanical problem is simple. A school's overall acceptance rate is a weighted average of at least two very different rates — domestic and international — where the weight is each group's share of total applicants. Most schools receive far more domestic applications than international ones, so the published rate leans heavily toward the domestic figure, sometimes almost entirely.

That's exactly what happens at Hofstra: published 72.67%, domestic 78.18% — a 5.5-point gap, because domestic applicants dominate the pool. Meanwhile the international rate of 6.14% is nowhere near visible in the headline number. If you're building a college list as an international applicant and you're using the published rate as your read on selectivity, you are, in a meaningful number of cases, reading someone else's odds.

This isn't a rounding error you can adjust for with a rule of thumb, either — because the size of the gap varies enormously and unpredictably across schools that look similar on paper. Arkansas (73.88% published, 11.53% international) and Wellesley (14.79% published, 3.42% international) sit at opposite ends of the general-selectivity spectrum, but both have international rates far below what their published numbers suggest. There's no formula like "subtract 10 points" that reliably converts a published rate into an international one. You have to look up the actual number, school by school.

Where the pattern reverses

Twelve of the 57 schools in this dataset do not fit the "lower international rate" pattern. At Binghamton University, the international rate is 65.44% against a domestic rate of 37.36%. At San Diego State, it's 59.02% versus 37.05%. Ohio State, Howard, Stony Brook, James Madison, Houston, Michigan State, Buffalo, and the University of Connecticut all show the same direction: international applicants admitted at a higher rate than domestic applicants, in some cases by a wide margin.

We're not framing this as international applicants having found an "easier" path into these schools, and there's a specific reason for the caution. A higher admit rate is not the same thing as a lower bar — it can also reflect how a school plans around yield, meaning how many admitted students it expects to actually enroll. If a school expects fewer admitted international students to enroll (because of cost, visa timing, or having other options), it may admit a larger share of that pool to land its target class size. We don't have yield data broken out by domestic and international status for these schools, so we can't confirm or rule out that mechanism here — we flag it because assuming a higher admit rate simply means better odds of enrolling, without checking yield, is the same trap we warned about in our analysis of in-state acceptance rates, where an inflated admit rate at some schools was doing something other than signaling opportunity.

Two schools in our dataset are worth naming as genuine edge cases rather than clean reversals. Ole Miss reports a domestic rate of 97.38% and an international rate of 97.72%, and Kansas 92.53% against 94.26% — close enough in both cases that treating them as meaningfully "reversed" would overstate what the data shows. At a school admitting nearly everyone in both pools, the gap is close to noise.

The honest read on the reversal cases: the published rate at these twelve schools actually understates an international applicant's odds relative to domestic ones, which is the mirror image of the problem everywhere else in this dataset. Either direction, the lesson is the same — the published number is not the number that applies to you.

How to find your school's actual international rate

Every school that participates in the Common Data Set publishes it, usually as a PDF, and the data lives in Section C1 (First-Time, First-Year Admission) alongside a breakdown by residency and citizenship status where the school chooses to report it. Search "[school name] Common Data Set" and look for the most recent year's filing. Section C1 will show total applicants and total admits; some schools further break out nonresident alien applicants and admits, which is the line you want.

Not every school reports this breakdown. If a school's Common Data Set doesn't separate international applicants from domestic ones, you don't have a number to work with — and the honest response is to say that plainly to yourself, not to assume the published overall rate is close enough. A school with no published international row is a school where you're applying without knowing your actual odds, and that's worth factoring into how much you rely on that school's admit rate when building your list.

Once you have real numbers — where they exist — for the schools on your list, use them the way you'd use any other filtering criterion. Our college list builder can help you organize a list around your actual likelihood at each school rather than the published headline. And whatever your list looks like, don't lose track of application deadlines, which don't move regardless of which acceptance rate you were calibrating against. If you want a second set of eyes on a list built around international-specific data, you can book a call with our team.

Boris Berenberg

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Frequently Asked Questions

Does this mean these 57 schools are biased against international applicants?

The data shows admission rates, not the reasons behind them, and none of the 45 schools with lower international rates publish an explanation. It's also not a uniform pattern — 12 of the 57 schools in this dataset admit international applicants at a higher rate than domestic applicants. We're reporting what the Common Data Set numbers show, not asserting intent.

Is this true of all colleges, or just the ones you're highlighting?

Only these 57 schools, and only because both domestic and international applicant and admit counts were separately available in their Common Data Set filings for us to check. This is not a random sample and not a claim about international admissions broadly — a huge number of schools simply don't publish this breakdown at all.

If a school admits international applicants at a higher rate, should I treat it as an easier target?

Be cautious. A higher admit rate can also reflect a school planning around lower expected yield from admitted international students — meaning it admits more to land the class size it wants, not because the bar is lower. We don't have yield data broken out this way for these schools, so we can't confirm that explanation, but it means a higher admit rate alone isn't proof of an easier path.

What should I actually do with this information when building my list?

Look up the Common Data Set for each school on your list and check Section C1 for a nonresident alien or international breakdown. Where it exists, use that rate instead of the published overall rate. Where it doesn't exist, treat that school as one where you're applying without a reliable number, and weight your list accordingly.

The Published Acceptance Rate Isn't Built for International Applicants | Dewey Smart