Percentile Rank Calculator
A percentile rank tells you what percentage of values in a dataset fall below a given value. If your percentile rank is 85, it means 85% of the data is below your value and you are at or above 85% of the distribution. Percentile ranks range from 0 to 100 and are widely used in education (test scores), medicine (growth charts), and statistics to understand relative position within a group. Enter a comma-separated list of numbers and the value you want to rank. The calculator sorts the data, counts how many values are strictly below your value, and divides by the total number of values, then multiplies by 100 to get the percentile rank as a percentage.
Percentile rank formula
Percentile Rank = (Count of values < x) / (Total count) * 100
Where x is the value you want to rank. The count includes only values strictly below x, not equal to x.
Understanding percentile ranks
- A percentile rank of 0 means all values in the dataset are greater than or equal to your value (you are at the bottom).
- A percentile rank of 50 means you are at the median; 50% of the data is below you and 50% is above you.
- A percentile rank of 100 means all values in the dataset are below your value (you are at the top).
- Percentile ranks are always between 0 and 100.
- Percentile ranks are useful for comparing individual values to a group, such as standardized test scores or child growth measurements.
Percentile rank calculator: frequently asked questions
What is a percentile rank?
A percentile rank is the percentage of values in a dataset that fall below a given value. For example, if your percentile rank is 75, it means 75% of the data points are below your value and 25% are above it.
How is percentile rank calculated?
Percentile rank = (count of values below x / total number of values) * 100. If 75 out of 100 test scores are below your score, your percentile rank is 75.
What if my value appears multiple times in the dataset?
The calculator counts all values strictly below your value. If your value matches several entries, those are not counted as below your value. Some methods count half of the tied values; this calculator uses the strict method.
Can I use this for test scores, heights, or survey data?
Yes. Percentile rank is useful for any dataset. It shows where a single value stands relative to the entire distribution, making it easy to understand relative performance or position.
What is the difference between percentile rank and percentile?
A percentile is a value below which a certain percentage of observations fall. Percentile rank is the actual percentage. The 75th percentile is a value; a percentile rank of 75 means you are at that 75th percentile.
Official sources
- National Center for Education Statistics (NCES): NCES Homepage.
- U.S. Census Bureau: Income and Poverty Data.
Reviewed by the CalculatorHub team, edited by James Graham, 14 June 2026. See our methodology.