Percentile Calculator

Find the value at any given percentile in your data set. Enter comma-separated numbers and the desired percentile to find the corresponding data value.

PERCENTILE VALUE
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Data Count
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Minimum
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Maximum
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Median (P50)
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What Is a Percentile?

A percentile indicates the value below which a given percentage of data falls. The 25th percentile (Q1) means 25% of data points are below this value. Percentiles are widely used in standardized testing, healthcare (growth charts), income distribution, and performance benchmarking.

Unlike percentages, which describe a proportion out of 100, percentiles describe a position within a ranked data set. They help compare individual observations against the full distribution of values and identify where a particular observation stands relative to others.

Percentile Formula

Index = (P / 100) × (n − 1)
Value = x[floor(i)] + (i − floor(i)) × (x[ceil(i)] − x[floor(i)])

Where P is the percentile, n is the count of data points, and x is the sorted data array. Linear interpolation is used when the index falls between two data points.

Common Percentiles

PercentileNameUsage
25thQ1 (First Quartile)Lower quarter boundary
50thQ2 (Median)Middle value
75thQ3 (Third Quartile)Upper quarter boundary
90thP90Performance benchmarks
99thP99Extreme value analysis

Applications

  • Education: SAT, GRE, and other test scores report percentile ranks.
  • Healthcare: Child growth charts use percentiles to track height and weight.
  • Finance: Value-at-Risk uses the 5th percentile of portfolio returns.
  • Technology: Response time P95 and P99 measure service performance.

Frequently Asked Questions

What is the difference between percentile and percentage?

A percentage describes a proportion (e.g., 80% of questions correct), while a percentile describes a ranking position (e.g., the 80th percentile means you scored better than 80% of test takers).

Can a percentile equal 0 or 100?

The 0th percentile is the minimum value and the 100th percentile is the maximum value. Some definitions exclude these extremes, but the linear interpolation method used here handles both.

How are percentiles different from quartiles?

Quartiles are specific percentiles: Q1 is the 25th percentile, Q2 the 50th, and Q3 the 75th. Percentiles offer finer granularity with 100 possible divisions rather than just four.