Free Percentile Calculator for Percentile Values, Ranks, Quartiles, and Dataset Position
Paste a numeric dataset to calculate a requested percentile using linear interpolation, or enter a value to estimate its percentile rank within the sample.
Interactive calculator
How to use it
- Paste numeric observations separated by commas, spaces, or line breaks.
- Choose Percentile Value to find Pk, or Percentile Rank to rank a specific value.
- For percentile value mode, enter k from 0 to 100.
- Review quartiles and IQR for broader distribution context.
- Check the interpolation step before reporting a rounded answer.
What this calculator includes
Result checklist
0 / 5 complete
Local calculation history
Formula and reference table
| Measure | Meaning | Common use |
|---|---|---|
| P25 / Q1 | 25% of observations are at or below this position | Lower quartile |
| P50 / Median | Middle of the ordered data | Center |
| P75 / Q3 | 75% of observations are at or below this position | Upper quartile |
| IQR | Q3 − Q1 | Middle 50% spread |
Quick knowledge check
What must happen before a percentile is located in a dataset?
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Frequently asked questions
Which percentile method is used?
This page uses a common linear interpolation method with position (n−1)×p on the sorted data.
Is percentile rank the same as percentile value?
No. A percentile value finds a data value at a chosen percentile; percentile rank estimates where a chosen value falls in the distribution.
Can I paste repeated numbers?
Yes. Duplicates remain part of the dataset and affect ranks normally.
Is this a medical height or weight percentile calculator?
It can calculate percentiles from numeric data you provide, but it does not include age- or sex-specific clinical reference charts.
Scope and accuracy
Percentile definitions vary across software and fields. This page states and uses one interpolation convention; regulated, medical, or institutional reports may require a different convention.