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Average Calculator

Get the mean, median, minimum and maximum of any list of numbers — and see why the mean and the median often disagree.

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How it works

A compact workflow from input to download.

1

Enter your figures

Fill in numbers (comma, space, or line separated). Every value stays in your browser — nothing is sent to a server.

2

Read the result

The result updates as soon as your inputs are valid, with the headline figure highlighted and the supporting numbers broken out beneath it.

3

Change the inputs and compare

Adjust any value to see immediately how it moves the result — the quickest way to understand which input the outcome is actually most sensitive to.

Frequently asked questions

What is the difference between mean and median?
The mean is the sum divided by the count. The median is the middle value once the numbers are sorted. They agree on symmetric data and diverge sharply on skewed data, because the mean is dragged by extreme values and the median is not.
Which one should I use?
Use the median whenever the data is skewed or contains outliers — incomes, house prices, response times, anything with a long tail. Use the mean for roughly symmetric data, and when you need a figure you can do further arithmetic with, since means combine predictably and medians do not.
How do I enter my numbers?
Paste or type them separated by commas, spaces or line breaks — all three work, so you can paste a column straight out of a spreadsheet without reformatting it.
Are my numbers sent anywhere?
No. Every calculation runs in JavaScript inside your own browser — nothing is uploaded, logged or stored. Your figures, including financial and health details, never leave your device.

The mean is easy to manipulate

A single extreme value can drag the mean anywhere, and this is not a hypothetical weakness. The standard illustration: take a room of ten people earning ordinary salaries, and the mean and median incomes are close. Walk a billionaire into the room, and the mean income now suggests everyone present is extraordinarily wealthy, while the median barely moves and continues to describe the room accurately. Precisely this effect is why economists report median household income rather than mean, why property markets quote median house prices, and why an engineer looking at server response times cares about the median and the 95th percentile rather than the average. Whenever a distribution has a long tail, the mean describes the tail and the median describes the typical case.

Look at the spread, not just the centre

Any single average compresses a whole distribution into one number, and a great deal of what matters is discarded in the process. Two datasets can share an identical mean while being completely unalike: one tightly clustered around it, the other wildly dispersed with nothing near the middle at all. The old joke about the statistician who drowned in a river of average depth three feet makes exactly this point. Reporting the minimum and maximum alongside the average — as this calculator does — is the cheapest possible correction, because the range immediately tells you whether the average is describing a tight cluster or papering over an enormous spread. If the range is wide, the average alone is not a summary, it is a distraction.