Percentile Calculator
Find the value at any percentile in a data set using linear interpolation.
How it works
- 1Enter your numbers separated by commas or spaces, then set the percentile (0–100) you want to find.
- 2The list is sorted in ascending order and a fractional rank is computed as p ÷ 100 × (n − 1).
- 3Linear interpolation between the two surrounding values gives the exact percentile point.
Use cases
- Analysing test score distributions — find the 90th percentile to identify top performers.
- Benchmarking response times — determine the 95th or 99th percentile latency in performance data.
- Understanding salary ranges — locate the 25th, 50th, and 75th percentile to gauge spread.
Frequently asked questions
What does the 75th percentile mean?
It means 75% of the values in the data set fall at or below that value. If the 75th percentile of exam scores is 82, then 75% of students scored 82 or lower.
Why does this tool use linear interpolation?
Linear interpolation gives a smooth, continuous result when the desired percentile falls between two data points. It matches the default method used by NumPy’s percentile function.
What if I enter only one number?
With a single value, every percentile returns that same value — it is both the minimum and maximum of the data set.
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