Math

Free Percentile Calculator

Find the percentile rank of a value in a data set.

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Inputs

Result

Percentile rank

40.0th percentile

Values below yours2
Total values5

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Short answer

Find the percentile rank of a value in a data set.

What is the Percentile Calculator?

Find the percentile rank of a value in a data set.

How does the Percentile Calculator work?

Enter the inputs above and read the result.

Formula

Percentile = (count below + 0.5 × count equal) ÷ n × 100

Variables

  • nTotal data count

Explanation

Percentile rank shows the percentage of the data set your value exceeds or ties.

Examples

Applications

    Advantages

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        Common mistakes

          Tips

            Related concepts

            The Percentile Calculator sits inside the Math Calculators hub, in the statistics & probability cluster. Describing data and quantifying uncertainty. Understanding the terms below makes the output easier to interpret and easier to compare against neighbouring measures.

            distributiondispersionsignificancesamplepopulationexpected value

            Practical use cases and industry applications

            Understanding Percentile

            Find the percentile rank of a value in a data set. Within math calculators, percentile belongs to the statistics & probability cluster, where it shares terminology and assumptions with closely related tools.

            Learning how percentile is calculated

            Percentile rank shows the percentage of the data set your value exceeds or ties. Working through the variables one at a time — n — makes the result reproducible by hand and easier to sanity-check.

            Using percentile to make a decision

            Because outputs depend on the assumptions you enter, run more than one scenario before committing to a figure.

            How percentile compares with related measures

            distribution, dispersion, significance, sample all describe adjacent aspects of statistics & probability. Comparing this calculator's output against those measures — using the related tools listed on this page — prevents a single metric from being read in isolation.

            Frequently asked questions

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