Mean, Median & Mode Calculator 🔒 Your data never leaves your browser.
Calculate the mean, median and mode(s) of a list of numbers.
About this tool
This mean, median & mode calculator takes any list of numbers and instantly works out all three measures of central tendency, right in your browser. Paste values separated by commas, spaces or new lines and the results update as you type. The mean is the arithmetic average — add everything up and divide by the count — but it is easily pulled off-centre by a single outlier, so a few extreme values can make it a poor summary of a typical data point. The median is the middle value once the numbers are sorted (or the average of the two middle values for an even-sized list); because it only cares about position, not magnitude, it stays put even when the data contains outliers or is skewed.
The mode is simply the value (or values) that occur most often. Unlike the mean and median it works just as well on categorical data — favourite colours, shoe sizes, survey ratings — and it highlights repetition rather than magnitude. A dataset can have no mode at all when every value is unique, a single mode when one value clearly repeats most, or several tied modes at once — a multimodal distribution — which this tool detects and lists automatically. Knowing which measure to reach for matters: use the mean for evenly-spread numeric data, the median when outliers or skew are a concern (household income, home prices), and the mode when you care about the most common category or value rather than an average.
Frequently asked questions
Why is the median often a better measure than the mean for things like income or house prices?
Income and house prices are classic examples of "skewed" data — most values cluster in a normal range, but a small number of extremely high outliers (a billionaire's income, a mansion's sale price) exist too. The mean gets pulled dramatically toward those outliers, so it can paint a misleading picture of what's "typical" — a neighborhood mean income can be inflated by one very wealthy household. The median, being the true middle value, isn't affected by how extreme the outliers are, only by how many values sit above vs. below it, which usually makes it a more representative "typical value" for this kind of data.