Every average at once
Mean, median and mode are computed together, so you can pick the measure that suits your data instead of running three tools.
Mean, median, mode, range and sum for any list of numbers — an average calculator covering all three averages.
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Overview
An average calculator that gives the mean, median, mode, range, sum and count of a number list in one place, with the sorted minimum and maximum alongside.
This average calculator computes the mean, median, mode, range and sum for any list of numbers in one step. The 'average' people mean is usually the mean, but the median and mode often tell you more. Paste any list of numbers here and get all three, plus the range, sum and count, in a single step — making it a complete average calculator for school, work or quick number crunching.
mean = sum ÷ count
median = middle value when sorted (average the two middle values if the count is even)
mode = most frequent value(s), or none if nothing repeatsEach measures 'typical' in a different way, and they diverge whenever the data is skewed.
A single huge outlier drags the mean but barely moves the median. Salaries, house prices and reaction times are classic examples where the median is the more honest summary — which is why this tool shows both side by side.
For the list 2, 4, 4, 4, 5, 5, 7, 9:
count = 8
sum = 2+4+4+4+5+5+7+9 = 40
mean = 40 ÷ 8 = 5
sorted = 2, 4, 4, 4, 5, 5, 7, 9
median = (4 + 5) ÷ 2 = 4.5 (even count, so average the two middle values)
mode = 4 (appears three times; 5 appears only twice)
range = 9 − 2 = 7All three averages land close together, which is what a symmetrical set looks like. When they pull apart, that gap is the interesting result rather than a nuisance.
Take 3, 4, 5, 6, 7. The mean is 5 and the median is 5 — they agree exactly. Now add 100:
mean = (3+4+5+6+7+100) ÷ 6 = 125 ÷ 6 = 20.8333
median = (5 + 6) ÷ 2 = 5.5
mode = None (every value now appears once)The mean more than quadrupled on the strength of a single value while the median moved by half. That is the entire argument for reporting both, and it is why salary, house-price and response-time data are usually summarised by their median.
The Count line in the breakdown deserves a glance for the same reason. The list parser quietly drops any token it cannot read as a number rather than raising an error, so one stray word in a pasted column shrinks your list silently. Checking that the count matches what you pasted is the fastest way to catch it.
Separators are commas, semicolons, spaces and new lines, so a copied spreadsheet column pastes straight in. Two things are worth knowing. A thousands separator is a comma, so 1,000 arrives as two separate numbers, 1 and 0 — strip the commas from big figures first. And negatives, decimals and scientific notation are all accepted, so -3.5 and 1e3 read as −3.5 and 1,000.
One average this tool deliberately does not compute is the weighted mean, where each value carries its own importance. Averaging two already-averaged groups is the classic trap: a class of 20 scoring 70% and a class of 30 scoring 80% combine to (20×70 + 30×80) ÷ 50 = 76%, not the 75% you get from averaging 70 and 80. Feed in the individual scores, or weight them yourself before you paste. Standard Deviation Calculator takes the same list and measures how far the values sit from the mean you just computed.
The list never leaves your browser; every statistic is computed locally with no upload and no account.
Step by step
Type or paste your numbers, separated by commas, spaces or new lines.
Read the mean, median, mode and range instantly.
Check the sum, count, minimum and maximum in the breakdown.
Why use it
What this tool is good for, and what it deliberately does not try to do.
Mean, median and mode are computed together, so you can pick the measure that suits your data instead of running three tools.
Paste a comma-separated row, a column from a spreadsheet, or space-separated values — the list parser handles all of them.
Sum, count, range, minimum and maximum give the context around the average so a single outlier does not mislead you.
Questions
Short, honest answers about quality, limits and privacy.