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As of March 26, 2026, the available Class of 2030 admissions figures were a partial snapshot, not a final, apples-to-apples tally for every college. Yale reported 2,328 offers to 54,919 applicants—about 4.24%, calculated from those counts. Brown reported 1,674 regular-decision offers, but 2,564 offers across Early Decision and Regular Decision combined. Those figures answer different questions, so the round and reporting date matter as much as the rate.
What are the Class of 2030 admissions rates?
There was no complete, consistently reported rate table for all the colleges in the March 2026 roundup. Christopher Rim’s article, originally published on Forbes, described figures available by March 26, 2026, and included a mixture of reported numbers, approximations, estimates and schools whose data had not been released. Treat it as a dated snapshot, not a definitive final accounting.
| Institution | Applicants | Offers | Rate | Rounds and scope | Reporting date and source |
|---|---|---|---|---|---|
| Yale University | 54,919 | 2,328 | About 4.24%, calculated from Yale’s published counts | Yale College; total offers reported, including 779 Early Action notifications | March 26, 2026; Yale release |
| Brown University | 47,937, as listed in the roundup | 1,674 Regular Decision; 2,564 across Early Decision and Regular Decision | 5.35%, as listed in the roundup; the cited Brown release confirms offer counts, not this applicant-and-rate pair | Do not treat 1,674 as Brown’s total offers across rounds; Brown reported 890 Early Decision offers and 1,674 Regular Decision offers | March 2026; Brown release and the March 26 snapshot |
For other named schools, the snapshot includes estimates, approximate values or missing figures. The available releases do not establish a complete set of current official Class of 2030 rates for every institution, so unsupported rows are not filled in here.
How to read the Yale and Brown figures
Yale: a calculation from reported counts
Yale said it offered admission to 2,328 of 54,919 Yale College applicants. Dividing offers by applicants gives approximately 4.24%; that percentage is a calculation from the university’s counts, not a separately quoted rate. Yale described the applicant pool as its second largest and said it was 9.4% larger than the previous cycle. The release also says 779 admitted applicants were notified through Early Action in December.
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Brown: one round is not the full cycle
Brown reported 1,674 Regular Decision offers in March. These joined 890 Early Decision offers for 2,564 offers across both rounds. The roundup lists 47,937 applicants and a 5.35% overall rate, but the cited Brown release confirms the offers rather than that applicant-and-rate pair. Keep the roundup’s rate attributed to the roundup; do not describe 1,674 as Brown’s total offers or calculate an overall rate from that Regular Decision count alone.
Why admissions rates can differ between reports
An admissions rate is generally offers divided by applicants, but reports may cover different rounds, dates and definitions. Some figures are published by a college; others are estimates or calculations. Later datasets may also include waitlist activity that was not reflected in a decision-day announcement.
Harvard says its admissions statistics include applicants, admits—including students admitted from the waitlist—and enrollees. It says it shares annual admissions data in October or November, beginning with the Class of 2029, following mandatory reporting. Its figures are therefore a reminder that a spring announcement can differ in scope from a later dataset. See Harvard’s admissions-statistics FAQ.
For another example of why cohort labels matter, MIT’s Common Data Set page describes first-time, first-year admissions counts for Fall 2025. That reporting period is not Class of 2030 decision data and should not be blended with it. See MIT’s Common Data Set page.
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What to check before comparing colleges
- Reporting date: Was the figure available by decision day, or updated in a later official dataset?
- Applicant pool: Does the count cover the same cycle and applicant population?
- Offers and rounds: Is the number for one round, such as Regular Decision, or all rounds combined?
- Waitlist treatment: Are later waitlist admits included?
- Source and status: Is the figure an official count, a calculation from published counts, an estimate or an approximation?
These details make a comparison more meaningful, but they still do not turn a college-wide rate into an individual prediction. The percentage describes the overall applicant pool and admissions process; it cannot establish a particular student’s odds.
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