Calculate a percentile from a data set or find the percentile rank of a specific value. Enter your numbers and choose the calculation you need.
Enter a data set and calculate a percentile value or the percentile rank of a specific score.
Enter your data and choose the percentile you want to find.
A percentile shows the value below which a given percentage of observations in a data set falls. To calculate a percentile, first sort the data from smallest to largest and then determine the position of the selected percentile.
This calculator uses linear interpolation between neighboring values when the percentile position falls between two data points.
Here, n is the number of values in the data set and p is the percentile written as a decimal. For example, the 75th percentile uses p = 0.75.
If the calculated position falls between two values, the calculator uses linear interpolation to estimate the percentile value.
Percentile rank tells you what percentage of values in the data set fall below or are tied with a specific score.
This method assigns half of tied values to each side of the selected score.
Suppose the sorted data set is:
With five data points:
Position 3 corresponds to the value 40, so the 75th percentile is 40.
The position falls between 30 and 40. Linear interpolation gives:
The 60th percentile is 34.
Percentile and percentile rank are closely related, but they answer different questions.
| Measure | Question It Answers | Example |
|---|---|---|
| Percentile | What value corresponds to a selected percentile? | What is the 75th percentile of this data set? |
| Percentile Rank | What percentage of the data is below a specific value? | What percentile rank does a score of 30 have? |
Use Percentile from Data when you know the percentile you want to find. Use Percentile Rank when you already have a score or value and want to see where it stands within the data set.
A percentile describes the relative position of a value within a data set. For example, a value at the 80th percentile is higher than about 80% of the observations in that data set.
Percentiles do not show how far apart values are. Two observations can be close together but still fall into different percentiles if the data is tightly grouped.
| Percentile | General Meaning |
|---|---|
| 25th | About 25% of values fall below this point |
| 50th | The median of the data set |
| 75th | About 75% of values fall below this point |
| 90th | About 90% of values fall below this point |
Percentiles are used whenever it is useful to compare a value with the rest of a group rather than looking only at the raw number.
If your calculation starts with a mean and standard deviation instead of a raw data set, the Z-Score Calculator is usually the better tool.