This percentile calculator answers both percentile questions: the rank of a value inside your dataset (“my score beat what percent?”) and the value at any percentile (“what score marks the 90th?”) — with quartiles included.


Percentile Rank of Value–
Value at Percentile–
25th (Q1)–
50th — Median–
75th (Q3)–

Value-at-percentile uses linear interpolation between closest ranks (the method spreadsheets call PERCENTILE.INC); rank uses (values below + ½ × values equal) ÷ n × 100.

Percentiles: Position Language for Data

A percentile answers "where do I stand?" in a way raw scores cannot: a score of 85 means nothing until you know it beat 92% of test-takers. The two directions of the question — this calculator does both — are:

  • Percentile rank of a value: (data points below it + half the points equal to it) ÷ total × 100.
  • Value at a percentile: sort the data, walk p% of the way through it, interpolate between the bracketing values — the definition Excel and most stats packages use (our Quartile Calculator is the special case p = 25/50/75, and the Z-Score Calculator converts percentiles for normal distributions specifically).

Part of our Statistics Calculators collection.

Worked Example (Verified)

Data: 10, 20, 30, 40, 50, 60, 70, 80, 90, 100:

  • Rank of 55: five values sit below it → (5 + 0)/10 = 50th percentile — dead center, as the symmetry suggests
  • Value at the 90th percentile: interpolation index 0.90 × 9 = 8.1 → between 90 and 100 → 91 (note: the "nearest-rank" method would say 90 instead — percentile definitions differ by a hair between textbooks, which is why methods are stated, not assumed)
  • Quartiles: Q1 = 32.5, median = 55, Q3 = 77.5

Where Percentiles Rule

  • Growth charts: a child at the 30th percentile for height is taller than 30% of peers — pediatricians track the trajectory across percentiles, not any single reading.
  • Standardized tests: the 99th percentile is the famous one; note carefully that it does not mean 99% correct — percentile is rank, not score (the most persistent confusion in all of applied statistics).
  • Pay and performance: salary bands are quoted at the 25th/50th/75th percentiles of market surveys; "top-decile" means ≥ 90th percentile in whatever is being measured.
  • Percentiles ignore gaps: the distance between the 89th and 90th percentile values can be trivial or enormous — percentiles describe order, never magnitude. Pair them with actual values before concluding anything.

Related Tools

Frequently Asked Questions

What is a percentile?

The value below which a given percentage of the data falls. The 90th percentile value beats (or matches) 90% of the dataset; a value's percentile rank is the percentage of data falling below it (with ties split).

How do I calculate the percentile rank of a score?

Count values below the score, add half the values equal to it, divide by the total count, multiply by 100. In the example data, 55 ranks at the 50th percentile.

Is the 50th percentile the same as the median?

Effectively yes — the median is the 50th percentile under standard interpolation methods, as the example shows (both 55 on the sample data).

Why do different calculators give slightly different percentile values?

Because "percentile" has several near-identical definitions (nearest-rank, linear interpolation — Excel's PERCENTILE.INC vs. EXC, and more). They agree on large datasets and differ by fractions on small ones. This page uses linear interpolation and says so.

What is the difference between percentile and percentage?

Percentage is a share of a whole (85% correct). Percentile is a rank among peers (beat 85% of them). A hard test can put a 60%-correct score at the 95th percentile.

Is this percentile calculator free?

Yes — free, instant, no sign-up.