Statistics & Probability

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Percentile Calculator.

Calculate a percentile with linear interpolation between sorted observations.

On-device calculationNo signup
01

Set your values

Results update as you type.

percentile: 75

percentile

75.000000
value: 6.25

value

6.250000
rank: 6.25

rank

6.250000

Results update automatically as you type.

Use Cases

Analyze test scores

Determine the score that separates a certain percentage of test takers, such as the 90th percentile, to understand performance benchmarks.

Example: Enter scores: 55, 70, 82, 91, 98, percentile: 90 → result: 95.2

Evaluate income distribution

Find the income level at a given percentile to assess where an individual or household falls in the overall distribution.

Example: Enter incomes: 30k, 45k, 60k, 80k, 120k, percentile: 75 → result: 90k

Frequently Asked Questions

What does linear interpolation mean in percentile calculation?
Linear interpolation estimates the value at a given percentile by assuming a straight line between the two closest data points. This method provides a more precise result than simply picking the nearest rank, especially when the percentile falls between two data values.
How do I use this percentile calculator?
Enter your data values separated by commas or spaces in the 'Data values' field, then enter the desired percentile (0–100) in the 'Percentile' field. Click calculate, and the tool will return the value at that percentile using linear interpolation.
Can I calculate any percentile between 0 and 100?
Yes, you can enter any number from 0 to 100. The calculator will compute the corresponding value using linear interpolation. For 0th percentile, it returns the minimum value, and for 100th, the maximum.

Tips & Common Mistakes

Tips

  • Ensure your data values are sorted in ascending order for accurate results, though the calculator may handle unsorted data by sorting internally.
  • Use a percentile between 0 and 100; values outside this range are not valid.
  • For small datasets, linear interpolation gives a smooth estimate, but interpret results with caution as they are based on limited data.
  • Double-check that you've entered all data values correctly, as missing or extra values can affect the percentile calculation.

Common Mistakes to Avoid

  • Entering a percentile greater than 100 or less than 0, which is not allowed.
  • Using commas inconsistently, such as mixing commas and spaces without proper separation, leading to parsing errors.
  • Assuming the result is the exact value from the dataset; interpolation may produce a value not present in the original data.

Last updated: August 13, 2026