Methodology

TuitionCreep answers one question: what will all four years actually cost? Every number here is an estimate, traceable to its source, and never financial advice. This page is meant to be read in full and cited.

Where the data comes from

We use the federal IPEDS collection (Integrated Postsecondary Education Data System), which every US institution receiving federal aid is required to report to. Specifically, published undergraduate tuition and required fees, in-state and out-of-state, by year, accessed through the IPEDS via Urban Institute Education Data API. Our current dataset covers 3,478 institutions through the 2023 data year. Where a school has publicly announced its current-year rate ahead of the federal data (we verify each against the school's own bursar, registrar, or newsroom page and cite the source), the projection anchors on that announced figure instead, and those pages say so explicitly. IPEDS publishes one to two years behind, which is why the latest year is dated.

The projection formula

For each school we compute a compound annual growth rate (CAGR) over up to the last ten available years of published tuition and fees:

CAGR = (latest / earliest)^(1 / years) − 1

We then project each future year's cost forward from the latest known value:

cost(year n) = latest_cost × (1 + CAGR)^n

The scholarship-erosion math

This is the part no first-year calculator models. Tuition compounds, but aid often does not. We apply your aid exactly as you enter it:

• Flat-dollar aid stays constant every year, so it covers a smaller share as tuition rises. That is the erosion.
• Percentage-of-tuition aid scales with tuition, so its dollar value grows and your share holds steady.

Out-of-pocket cost each year is tuition + required fees − aid, floored at zero, summed across your remaining years.

What we deliberately do not do

• We do not predict your financial-aid eligibility. You tell us your aid; we don't guess it.
• We do not present a single false-precise number; the tool shows a likely range from recent volatility.
• We flag schools with tuition freezes, guarantees, or resets, because a smooth projection misleads there.
• We collect no personal information to run the core projection, and require no account.

Limits and honest caveats

Past growth does not guarantee future growth; state policy, endowment decisions, and economic shifts all move tuition. Published sticker figures are not net price: a few institutions (notably no-tuition or full-scholarship models) carry a high published number that most students never pay. Where a school has fewer than a handful of data years, we fall back to a conservative national average and say so.

Questions, corrections, or citations? Start from the homepage. Estimates from federal IPEDS data. Not financial advice.