Mean, Median & Mode Calculator

Find the mean, median, mode and range of a list of numbers.

Separate with commas, spaces or new lines.

Mean (average)
Median
Mode
Range
Sum
Count
Smallest / largest

Non-numeric entries are ignored. Decimals and negative numbers are supported.

Three kinds of average

The word "average" usually means the mean, but the median and mode are averages too, and they tell different stories about the same data.

MeanSum of the values divided by how many there are.
MedianThe middle value once the numbers are sorted.
ModeThe value (or values) that occur most often.

The range — the gap between the smallest and largest value — rounds out the picture by showing how spread out the data is.

Worked example

For 4, 8, 15, 16, 23, 42 the mean is 18 and the median is 15.5. The range is 38 (42 − 4), and since no value repeats there is no mode.

Choosing the right average

No single number summarises data perfectly. The mean uses every value but is pulled by extremes; the median shrugs off outliers; the mode highlights the most common case. Reporting more than one is often the honest thing to do.

Worth remembering

  • Outliers move the mean. One very large value can drag the average away from "typical".
  • Median for skewed data. Incomes, prices and times are usually better described by the median.
  • Mode for categories. The most frequent value is the natural average for non-numeric choices.

Frequently asked questions

What is the difference between mean and median?
The mean is the total divided by how many values there are. The median is the middle value when they are sorted. The median is less affected by a few very large or very small numbers.
What if no number repeats?
Then there is no mode. If several values tie for most frequent, the data is multimodal and all of those values are modes.
How do I enter the numbers?
Type them separated by commas, spaces or new lines. Decimals and negative numbers are fine; anything that is not a number is ignored.
When should I prefer the median?
When the data is skewed or has outliers — incomes or house prices, for example — the median often describes the typical value better than the mean.