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Standard Deviation Calculator

Find the mean, standard deviation and variance of any data set.

Standard Deviation Calculator Runs locally
Enter your values and press Calculate.

All calculations happen locally in your browser — nothing is uploaded, stored or tracked.

STEP 01

Add your data points

Use the row buttons to add as many values as you need.

STEP 02

Calculate

The statistics update immediately.

STEP 03

Read the summary

Mean, standard deviations, variance, min, max and range.

What Is Standard Deviation?

Standard deviation measures how spread out a set of numbers is. A small standard deviation means the values cluster close to the mean; a large one means they are spread widely. It is the square root of the variance and is expressed in the same units as the data.

The calculator reports both versions: the sample standard deviation (dividing by n − 1), used when your data is a sample of a larger population, and the population standard deviation (dividing by n), used when the data is the whole population.

The Formula

σ = √( Σ(xᵢ − μ)² ÷ n ) — population
s = √( Σ(xᵢ − x̄)² ÷ (n − 1) ) — sample

The mean is the sum of the values divided by the count. Each deviation is squared so positive and negative differences do not cancel out.

Your data never leaves your device.

Every calculation on this site runs in your browser using vanilla JavaScript. Nothing is uploaded, stored or tracked.

  • 100% local, client-side calculations
  • No data stored on any server
  • No tracking, no analytics, no ads scripts
  • Works offline once loaded

Frequently Asked Questions

What is the difference between sample and population standard deviation?

Sample standard deviation divides by n − 1 to account for estimating from a sample; population divides by n and is used when you have every value.

How do I calculate standard deviation?

Find the mean, subtract it from each value, square the results, average them (n for population, n − 1 for sample), and take the square root.

What does a low standard deviation mean?

The values are close to the mean — the data is consistent. A high standard deviation means the values vary widely.

What is variance?

The standard deviation squared. It is in squared units, which is why standard deviation (in original units) is usually quoted.

Can I use this for exam scores?

Yes — enter the scores to see the class average and how much results vary around it.