Range Calculator
Calculate the statistical range (max minus min) for up to 8 numbers.
Enter your values and click Calculate
The range is the simplest measure of statistical spread — it tells you the distance between the largest and smallest values in a dataset. A large range indicates high variability within your data, while a small range means the values are tightly clustered together. Although range is easy to calculate and immediately intuitive, it is sensitive to extreme outliers: a single unusually high or low value can dramatically inflate the range while the rest of the data remains tightly grouped. This is why range is best read alongside the mean and median, which this calculator also provides. Together, the three statistics reveal whether the spread is driven by the full dataset or by one extreme value — a distinction that matters in quality control, grading, financial analysis, and any field where variability is important to understand. For datasets with significant outliers, pairing the range with the interquartile range or standard deviation provides a more complete and robust picture of how your values are distributed.
How It Works
The range is calculated by identifying the maximum value and the minimum value in your dataset, then subtracting the minimum from the maximum: Range = Max − Min. This calculator accepts up to 8 values — the first 6 are always included, while values 7 and 8 are optional toggles that you can enable as needed. In addition to range, the calculator also provides the minimum, maximum, mean (arithmetic average of all included values), median (the middle value when the data is sorted, or the average of the two middle values for an even count), and total count. Together these five statistics give a well-rounded summary of your data's center, extremes, and variability without needing a spreadsheet. Because range only captures the distance between the two most extreme values, it can be heavily influenced by a single outlier — so comparing range with the mean and median helps reveal whether outliers are distorting the spread.