Percentile Calculator
This calculator computes percentile rank of a value within a dataset, or finds the value at a given percentile. Enter a comma-separated list of numbers and specify either a value (to find its percentile rank) or a percentile rank (to find the corresponding value). The calculator displays the result and the sorted dataset for reference. Percentiles are widely used in standardized testing, growth measurements, performance evaluation, and comparative analysis.
Percentile formulas
Percentile rank = (count of values below + 0.5 * count of values equal) / total * 100
Value at percentile k = value at position (k/100) * (N+1) in sorted data
Common percentiles
- 25th percentile (Q1): first quartile
- 50th percentile (Q2): median
- 75th percentile (Q3): third quartile
- 90th percentile: top 10%
- 95th percentile: top 5%
Percentile calculator: frequently asked questions
What is a percentile?
A percentile is a value below which a certain percentage of data points fall. The 50th percentile is the median; 25th percentile is the first quartile; 75th percentile is the third quartile. Percentiles divide data into 100 equal parts.
What is percentile rank?
Percentile rank is the percentage of values in a dataset that are less than or equal to a given value. Formula: percentile rank = (number of values below + 0.5 * number of values equal) / total * 100. A percentile rank of 75 means 75% of values are below this point.
How is percentile different from percentage?
Percentile refers to position in a distribution; percentage is a proportion of a whole. A student in the 90th percentile scored better than 90% of peers, not that the student answered 90% correctly.
Why use percentiles?
Percentiles make it easy to compare individual values within a dataset and across different distributions. They are used for standardized test scores, growth charts, performance metrics, and any comparative analysis.
What are quartiles?
Quartiles divide data into four equal parts. The 25th percentile is Q1, 50th is Q2 (median), 75th is Q3. The interquartile range (IQR) = Q3 - Q1, measuring spread of the middle 50% of data.
Official sources
- Statistical definitions: National Institute of Standards and Technology.
Reviewed by the CalculatorHub team, edited by James Graham, 14 June 2026. See our methodology.