---
title: "Quartile and Interquartile Range Calculator | Numequo"
description: "Sort a dataset, calculate its quartiles and IQR, and explore its distribution on a visual scale. Free, fast and easy to use."
canonical: "https://www.numequo.com/math/descriptive-statistics/quartile-interquartile-range-calculator/"
locale: "en"
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[Numequo](https://www.numequo.com/) › [Math](https://www.numequo.com/math/) › [Descriptive statistics](https://www.numequo.com/math/descriptive-statistics/)

# Quartile and Interquartile Range Calculator

Paste your values separated by spaces, semicolons or line breaks to reveal the five-number summary and possible outliers.

## Input data

- **Dataset** - type: text; default: 4; 7; 7; 9; 12; 15; 18; 21; 24; Example: 4; 7; 7; 9; 12; 15

## How it works

The data are sorted first. Q2 is the median; Q1 and Q3 are the medians of the lower and upper halves. IQR = Q3 − Q1.

## Quick examples

- **Balanced series** - Dataset: 4; 7; 7; 9; 12; 15; 18; 21; 24
- **Series with an outlier** - Dataset: 10; 11; 12; 12; 13; 14; 15; 40
- **Decimal values** - Dataset: 1.5; 2.2; 2.8; 3.1; 4.6; 5.4

## Understanding your result

The middle 50% of the data lies between Q1 and Q3. A small IQR indicates concentrated central values; a large IQR indicates greater dispersion.

Last verified: 29 September 2026 (2026-09-29)

## Frequently asked questions

### What does the interquartile range measure?

It measures the spread of the middle 50% of a dataset and is less sensitive to extreme values than the full range.

### How are quartiles calculated here?

This calculator uses the median-of-halves method: when the dataset size is odd, the overall median is excluded from both halves.

### Why can another calculator return different quartiles?

Several accepted quartile conventions exist. Spreadsheet software may use interpolated percentiles, which can differ from the median-of-halves method.

### How are possible outliers identified?

Values below Q1 − 1.5 × IQR or above Q3 + 1.5 × IQR are flagged as possible outliers.

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