Percentile Calculator
Find the percentile rank of a score in a dataset, or find the value at a given percentile. Enter up to 10 data values.
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How to use this calculator
Sort the data, then find the position L = (P/100) × n. Round up to the nearest whole number to identify the value at percentile P.
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Enter up to 10 data values (leave unused fields blank or at 0).
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Enter the score whose percentile rank you want in the last field.
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The calculator also shows Q1, median, Q3, and IQR automatically.
Frequently asked questions
What does the 75th percentile mean?
A score at the 75th percentile is higher than 75% of the values in the dataset. It is the same as Q3 (the third quartile).
How are quartiles calculated?
Q1, Q2, Q3 divide sorted data into four equal parts. Q2 is the median. Q1 is the median of the lower half; Q3 is the median of the upper half. Different software may use slightly different methods.
What is IQR used for?
The interquartile range (Q3 − Q1) measures the spread of the middle 50% of data. It is resistant to outliers and used to detect outliers: values more than 1.5×IQR below Q1 or above Q3 are flagged as potential outliers.
Percentile Calculator — Rank & Quartiles
Percentile vs percentage
A percentage is a ratio out of 100 (e.g., scoring 80% on a test). A percentile rank tells you where a score stands relative to a group — the 80th percentile means scoring higher than 80% of the group, regardless of the actual score value.
Using percentiles in practice
Percentiles appear in growth charts (children's height/weight), standardised test scores (SAT, GRE), income distributions, and performance benchmarking. The interquartile range (IQR = Q3 − Q1) is one of the most robust measures of spread because it ignores extreme values at both ends.
Learn more from an authoritative source:
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