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Standard Deviation Calculator

Sample and population standard deviation and variance of a list of numbers, with the mean, sum of squares and count — the working shown.

Find the mean, take each value's difference from it, square the differences and average them: that is the variance, and its square root is the standard deviation.

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Results
Sample standard deviation (s)
13.490738
Population standard deviation (σ)
Sample variance
Population variance
Mean
Sum of squared deviations
Count (n)
Coefficient of variation (sample)
Reviewed September 2026. Pure mathematics: the result does not depend on where you are. Terminology follows the national curriculum (maths, brackets, decimal point).
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About standard deviation

How the standard deviation calculator works

Find the mean, take each value's difference from it, square the differences and average them: that is the variance, and its square root is the standard deviation. Divide by n for a whole population, by n − 1 for a sample (Bessel's correction) — the sample version is the one you usually want.

Formula: s = √(Σ(x − x̄)² / (n − 1)); σ = √(Σ(x − μ)² / n)

Worked examples

InputsSample standard deviation (s)Note
4, 8, 15, 16, 23, 4213.490738s ≈ 13.49, σ ≈ 12.32
2, 4, 4, 4, 5, 5, 7, 92.13809σ = 2 exactly

Frequently asked questions

Sample or population — which should I use?

Population (÷ n) when your list is everything you care about; sample (÷ n − 1) when it is a sample of a larger group, which is the usual case.

What does a standard deviation of 2 mean?

Typical values sit about 2 units from the mean; for roughly normal data about 68% lie within one SD and 95% within two.

What is variance?

The standard deviation squared — the average squared distance from the mean.

Why n − 1?

Using the sample mean makes the deviations slightly too small; dividing by n − 1 corrects the bias.

What is the coefficient of variation?

SD ÷ mean, as a percentage — a scale-free measure of spread for comparing datasets.

Where these figures come from

Last checked: September 2026. Formulas are fixed by mathematics and do not change with tax years or regulations.