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Percentile Calculator

Free percentile calculator: find what percentile a score falls at, or find the score at a given percentile, for a normal distribution — with the z-score and formula shown.

A number between 0 and 100 — for example, 90 for the 90th percentile.
050100150200Value

z = 1.2816, percentile = 90, score = 119.2233

Score from a percentile, step by step

z for the 90th percentile = 1.2816.

Score = mean + z × SD = 100 + 1.2816 × 15 = 119.2233.

What a percentile means

A percentile tells you what share of a distribution falls below a given value. Being at the 85th percentile means about 85% of values in the distribution are below yours (and about 15% are above) — it is a statement about rank within the group, not a raw score or a percentage correct. This calculator finds the percentile for a score, or the score at a given percentile, for a normal distribution defined by a mean and standard deviation.

Percentile vs. percent correct

The most common mix-up is treating a percentile like a percentage score. The 85th percentile on a standardized test does not mean the student answered 85% of questions correctly — it means they scored better than about 85% of the people who took the test. A student could be at the 85th percentile with a raw score of 60% correct if the test was hard and most people scored lower, or with 95% correct if the test was easy and most people scored close to that. Percentile is about rank relative to a group; percent correct is about the raw score itself — they answer different questions and can move independently of each other.

Worked example

Say a standardized test's scores are normally distributed with a mean of 100 and a standard deviation of 15, and a student wants to know their score at the 90th percentile. The z-score for the 90th percentile is about 1.2816, so their score is 100 + 1.2816 × 15 ≈ 119.2. Read the other way: a student who scored 119 on that same test sits at about the 90th percentile — meaning they outperformed roughly 90% of test-takers.

Common percentile milestones

Percentile milestones show up often in real reporting — the 50th percentile is the median, right in the middle of the distribution; the 25th and 75th percentiles (the quartiles) bracket the middle half; and standardized tests, growth charts, and salary surveys routinely report where an individual value falls among percentiles like the 10th, 25th, 50th, 75th, and 90th. A percentile close to 50 is unremarkable — near the center of the pack. A percentile in the single digits or the high 90s marks a genuinely unusual value relative to the rest of the distribution.

How to use it

  1. Choose the direction: percentile → z-score and score, or score → z-score and percentile.
  2. Enter the mean and standard deviation of the distribution.
  3. Enter the percentile you want the score for (or the score, in the reverse direction).
  4. Read the z-score, score, and the step-by-step working below the shaded curve.
  5. Download the chart as PNG, SVG, or PDF, or export the numbers as CSV.

FAQ

What is a percentile?
A percentile is the share of a distribution that falls below a given value. The 70th percentile means about 70% of values are below yours and about 30% are above — it describes rank within a group, not a raw score.
Is a higher percentile always better?
For most measures reported this way — test scores, growth charts, rankings — yes, a higher percentile means you rank above more of the group. But check what is being measured: for something like reaction time or error rate, a lower raw value (and so a different percentile framing) can be the better outcome, so read the units, not just the number, before assuming higher is better.
How is a percentile different from a percentage?
A percentage (like 85% correct) describes a raw score out of the total possible. A percentile (like the 85th percentile) describes rank relative to everyone else's scores. The two can be very different numbers on the same test — a percentile depends on how everyone else did, not just on your own score.