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Calculate the interquartile range — the spread of the middle 50% of a data set.

How It Works

How IQR Calculator (Interquartile Range) Works

The data is sorted, then split into quarters. The interquartile range is the distance between the first quartile (Q1, the value 25% of the way through) and the third quartile (Q3, 75% of the way through) — this middle-50% spread isn't affected by extreme values the way the full range is.

Real-World Use Cases

Who Uses IQR Calculator (Interquartile Range) and Why

  • Describing the typical spread of the middle portion of a data set without letting a few extreme values dominate the picture.
  • Computing the underlying value needed to set outlier fences using the standard 1.5×IQR rule.
  • Comparing the spread of two skewed data sets where the mean and standard deviation alone could be misleading.
Common Mistakes

Mistakes to Avoid

  • Confusing IQR with the full range (max − min) — IQR only reflects the middle 50% of the data, which is exactly why it's resistant to a few extreme outliers, unlike the full range.
  • Assuming a small IQR by itself means "no outliers" — IQR just measures middle-50% spread; you still need the separate 1.5×IQR fence calculation to actually flag outliers.
  • Computing IQR on unsorted or improperly formatted data — quartile positions depend entirely on the data being correctly sorted first.
Pro Tips

Tips for Best Results

  • Pair the IQR with the median (rather than the mean and standard deviation) when describing a skewed data set — both are far less sensitive to extreme values.
  • If you actually need to flag specific outlier values rather than just measure spread, use the Outlier Calculator on this site, which applies the 1.5×IQR rule directly.
Troubleshooting

Fixing Common Problems

My IQR value differs slightly from what a spreadsheet program calculated. — Different tools use different interpolation methods when a quartile falls between two data points. This calculator uses linear interpolation, a common convention, but spreadsheet software sometimes defaults to a different method, producing small differences.

Glossary

Terms Explained

Interquartile range (IQR): The distance between the first quartile (Q1) and third quartile (Q3), representing the spread of the middle 50% of a data set.

Fence: A boundary set at 1.5 times the IQR beyond Q1 or Q3, used to flag statistical outliers.

FAQ

Frequently Asked Questions

Why use IQR instead of the full range (max − min)?
The full range is entirely determined by just two extreme values, so a single unusually high or low number can distort it — IQR describes the spread of the "typical" middle portion of the data and stays stable even with a few outliers present.
What is IQR used for beyond just describing spread?
It's the basis for the standard 1.5×IQR rule used to flag statistical outliers, which is exactly what the outlier calculator on this site uses.