Finds what percentage of a dataset falls below a given value.
How it works
The count of values below the target, plus half the count of values exactly equal to it, is divided by the total count and converted to a percentage.
What this does not include
This does not include a fixed reference scale like IQ percentiles — for that specific standardized scale, use this site’s IQ percentile calculator instead. This page works directly from any dataset you supply.
How to use this calculator
- Enter your dataset and the value you want the percentile rank for.
A worked example
Dataset 2, 4, 6, 7, 8, 9, 10, finding the rank of 7: 50th percentile — exactly the median position in this 7-value set.
Dataset 60, 70, 75, 80, 85, 90, 95, 100, finding the rank of 85: 56.25th percentile.
What the variables mean
| Variable | Meaning |
|---|---|
| Data | The full dataset, comma-separated |
| Value | The specific value whose percentile rank is being found |
Edge cases worth knowing
Percentile rank shows where a value stands relative to the rest of the dataset — a 56.25th percentile means the value sits above roughly 56% of the other data points, not that it equals 56.25% of something.
An empty dataset makes percentile rank undefined — there’s no distribution to rank the value against, so the calculator returns no result.
Frequently asked questions
What does a percentile rank of 50% mean?
The value sits right at the median — half the dataset falls below it.
Why does a tied value only count as “half” below?
It’s a standard convention that splits the difference — a value exactly equal to the target is neither fully below nor fully above it.
Does the value need to already be in the dataset?
No — you can check the percentile rank of any value, whether or not it appears in your original data.
