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Interquartile Range (IQR) Calculator

The spread of the middle half of your data — the robust alternative to the standard deviation, and the basis of the outlier rule.

Sort the data, find the quartiles, subtract: IQR = Q3 − Q1.

Comma-separated
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Results
Interquartile range
12
First quartile (Q1)
Median
Third quartile (Q3)
Robust σ estimate (IQR ÷ 1.349)
Sample standard deviation
Quartile skewness
Count
Reviewed September 2026. Pure mathematics: the result does not depend on where you are. Terminology follows the Australian Curriculum (maths, brackets, decimal point).
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About interquartile range (iqr)

How the interquartile range (iqr) calculator works

Sort the data, find the quartiles, subtract: IQR = Q3 − Q1. Because it discards the top and bottom quarters entirely, a single extreme value cannot move it, which is what "robust" means.

For normally distributed data the IQR is about 1.349 standard deviations, so dividing by that gives a robust estimate of σ that outliers cannot inflate.

Formula: IQR = Q3 − Q1; robust σ ≈ IQR / 1.349

Worked examples

InputsInterquartile rangeNote
Eight values12IQR = 15.5
With one extreme value25the IQR barely moves; the SD explodes
Evenly spaced4IQR = 4

Frequently asked questions

What is the interquartile range?

Q3 − Q1 — how wide the middle 50% of your data is.

Why use it instead of the standard deviation?

Because it is robust. One mistyped value can multiply a standard deviation; it barely touches an IQR.

How do I convert IQR to a standard deviation?

For normal data, divide by 1.349. That is a standard robust estimator of σ.

What is quartile skewness?

Whether the upper quarter is wider than the lower one. Zero means symmetric; positive means a longer right tail.

Does the IQR change if I add a constant?

No. Adding shifts every quartile equally, so the difference is unchanged — spread measures ignore location.

Where these figures come from

Last checked: September 2026. Formulas are fixed by mathematics and do not change with tax years or regulations.