Enter your data set (comma-separated values) and a specific value to look up — the Percentile Rank Calculator computes the percentile rank of that value within your dataset. You'll see the percentile rank (%), the number of values below, and the total count, plus a chart showing where your value sits in the distribution.
Percentile Rank
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Values Below Target
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Total Values (N)
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Rank Position (Ascending)
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Interpretation
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A percentile rank indicates the percentage of values in a dataset that fall below a specific value. For example, a percentile rank of 70 means that 70% of the values in the dataset are lower than the given value. It is widely used in education (test scores), health metrics, and statistical analysis.
The percentile rank formula is: PR = (L / N) × 100, where L is the number of values in the dataset that are less than the target value, and N is the total number of values. The result is expressed as a percentage between 0 and 100.
The highest percentile rank is 100, but in practice, a value equal to the maximum in the dataset will have a percentile rank just below 100 (since no values exceed it, all values are 'below or equal'). Some formulas cap the result at 99th percentile for this reason.
A 95th percentile rank means that the given value is higher than 95% of all values in the dataset. Only 5% of values are equal to or greater than it. This is commonly used in standardized testing to indicate very high performance relative to a group.
A percentile is a value below which a given percentage of observations fall — for example, the 90th percentile is the value below which 90% of data lies. A percentile rank, on the other hand, is the percentage of observations that fall below a specific given value. They are inverses of each other.
Yes. If the target value is the minimum value in the dataset, then no values fall below it, so its percentile rank is 0. This simply means the value is at the very bottom of the distribution.
This calculator supports up to 50 data values. Enter them separated by commas or spaces. You can also paste data directly from a spreadsheet. The more data points you include, the more meaningful and precise the percentile rank result will be.
Percentile ranks are used extensively in standardized testing (SAT, GRE, IQ scores), pediatric growth charts (height and weight), income distribution analysis, employee performance reviews, and medical reference ranges. They help contextualize a single value relative to a larger group.