College Acceptance Rates 2026
Acceptance rates are the most visible — and most misunderstood — number in college admissions. A school's published rate blends preferred applicants (athletes, legacies, development cases) with the general pool. Here is the data for the most-selective US universities and what it means for your actual chances.
Ivy League acceptance rates (Class of 2029)
Ivy League acceptance rates remain at historic lows. Estimated rates for the most recent cycle: Harvard ~3.6%, Columbia ~4.3%, Princeton ~4.4%, Yale ~4.6%, Brown ~5.2%, Penn ~5.5%, Dartmouth ~5.8%, Cornell ~7.3%. These rates reflect the total applicant pool, but the effective rate for unhooked applicants (no legacy, no athlete status) is substantially lower — estimated at 2–3% at Harvard and Yale.
What these numbers do not tell you: Early Decision acceptance rates are typically 2–4x higher than Regular Decision rates. A recruited athlete at an Ivy has an approximately 86% admission rate. Legacy applicants see 2–4x the base rate. The published number averages across all of these groups.
Top 20 national universities
Stanford admits approximately 3.9% of applicants. MIT admits about 4.5%. Northwestern, Duke, and UChicago cluster in the 5–8% range. Johns Hopkins and Vanderbilt admit approximately 7–8%. The trend across this tier is downward — application volume has increased 35–40% since 2020 while class sizes remain flat, driving acceptance rates steadily lower.
Selective liberal arts colleges
Top liberal arts colleges are as selective as many Ivies. Williams College admits approximately 9–10%, Amherst ~7–8%, Swarthmore ~7%, Pomona ~7%, Bowdoin ~8–9%. These schools weigh intellectual curiosity, essays, and demonstrated interest heavily — factors that AdmitGPT captures through fit adjustments in the model.
State flagships
Public university acceptance rates vary dramatically by residency. UCLA admits ~9% of applicants overall (more competitive than many Ivies), UC Berkeley ~11%, University of Michigan ~18%, UNC Chapel Hill ~17%, UVA ~16%, University of Texas ~29%. Out-of-state acceptance rates at these schools are often significantly lower than in-state rates.
How AdmitGPT uses acceptance rates
The engine uses each college's published acceptance rate as a baseline, then adjusts based on your profile relative to that school's admitted-student distribution. A 10% acceptance rate tells you the base odds for a generic applicant. Your actual odds are higher or lower depending on your academics, extracurriculars, timing, and hooks. The AdmitGPT model applies each of these adjustments transparently — you can see exactly how your profile changes the probability for every school.