A Percentile Rank Calculator
A percentile rank tells you what fraction of a group sits below a value. For 12th out of 250 there are 238 below, and the two standard conventions give 0.9558232931726908 and 0.952 — answers that differ by less than one person, yet must be kept distinct from the percentage score.
Percentile rank (n - 1 convention)
95.58%
- Values below the position
- 238
- Values at or above the position
- 12
- Top share at or above
- 4.80%
Values update as you type. This calculator covers the single scenario its formula assumes — see Common Mistakes for what it leaves out.
The formula this calculator uses
Percentile rank = count below / (n - 1), or count below / n
- count below
- Number of values below the one of interest — 238 here
- n
- Size of the group — 250 here
- PR
- Percentile rank as a proportion, such as 0.9558232931726908
- top share
- Fraction at or above, 12 / 250 = 0.048
How to check the result by hand
- 1
Decide what counts as below
Before counting, fix the rule: values strictly less than the one of interest, or values less than or equal to it. For a candidate at position 12 out of 250 with distinct scores, 250 - 12 = 238 values are strictly below.
- 2
Count the group below and record n
The count below is 238 and the group size is n = 250. Both numbers are needed, because every convention divides the first by a function of the second.
- 3
Choose the denominator convention
Use n - 1 = 249 to treat the group as a sample, or n = 250 to treat it as the full population. The sample convention gives 238 / 249 = 0.9558232931726908; the population convention gives 238 / 250 = 0.952.
- 4
Divide to obtain the rank
Perform the division to full precision and keep every digit, since 238 / 249 = 0.9558232931726908. Rounding early would hide the very small gap between the two conventions, which is only 0.0038232931726908.
- 5
Convert to a percentage and report
Multiply by 100 to express the rank as 95.58233%, or report the top share 12 / 250 = 0.048 = 4.8% instead. Always name the convention and the group size when you quote the result.
For worked examples, common mistakes and the limits of this formula, read the full How To Calculate A Percentile Rank page.