Percentile Calculator
Reviewed by CalcMulti Editorial Team·Last updated: ·← Statistics Hub
A percentile tells you what percentage of values in a dataset fall at or below a given point. The 75th percentile means 75% of the data is at or below that value. Percentiles are used everywhere — from standardised test scores and growth charts to salary benchmarks and quality control.
This calculator finds the percentile rank of any value in your dataset, finds the value at any target percentile, and displays quartiles (Q1, Q2, Q3) with the interquartile range (IQR).
Formula
Rank = (B + 0.5 × E) / n × 100
- B
- number of values strictly below x
- E
- number of values equal to x
- n
- total number of values in the dataset
- Rank
- percentile rank (0–100) — midpoint method
Key Percentile Landmarks
| Percentile | Also Known As | Meaning |
|---|---|---|
| 0th | Minimum | 0% of values fall below — the smallest value |
| 25th | Q1, First Quartile | 25% of data is below this value |
| 50th | Q2, Median | Middle of the distribution — half above, half below |
| 75th | Q3, Third Quartile | 75% of data is below this value |
| 90th | D9 (9th Decile) | Common benchmark in income, test scores |
| 95th | — | Used in clinical ranges, speed benchmarks |
| 99th | — | Top 1% — elite performance benchmark |
| 100th | Maximum | 100% of values fall at or below — the largest value |
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Disclaimer
This calculator is for educational purposes only and does not constitute professional advice. Results are based on standard mathematical formulas. Always verify critical calculations with a qualified professional before making important decisions.