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Percentile rank calculator

Paste a data set and enter the score whose relative position you want to measure.

Enter 1 to 10,000 numbers.

Percentile rank: —

Fill in the fields above — the result is computed on this page.

Data count
—
Values below
—
Equal values
—
Values above
—

What do these numbers mean?
  • The half-ties method gives a stable result when values repeat.
  • State the convention when comparing a result with another tool.

Several percentile-rank conventions exist, so other tools may return a slightly different result when the selected value is tied.

How do I use this page?
  1. Paste all observations.
  2. Enter the value to rank.
  3. Read the rank and the below, equal and above counts.

What this page does not do: Several percentile-rank conventions exist, so other tools may return a slightly different result when the selected value is tied.

Further reading

Theory — what is percentile rank?

Percentile rank describes the position of a specific value relative to an entire data set. The calculator counts how many results in the set are lower than the checked value, adds half of the results equal to it, and divides that sum by the number of observations. A rank of 75% means the checked value lies above three quarters of the remaining results. This differs from a percentile — rank gives the position of a given value, while a percentile gives the value matching a chosen percentage.

Frequently asked questions

Is percentile rank the same as a percentile?
Percentile rank locates a given score. A percentile finds the score associated with a chosen percentage.
How are ties handled?
Half the number of equal values is added to the number of lower values.

See also

← All calculators

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