Coefficient of Variation Calculator

This coefficient of variation calculator finds the CV from raw data or from a mean and standard deviation. The result is shown as a percentage, with a plain-English reading of what it means.

Separate numbers with commas, spaces or new lines.

Checks on your data

  • No outliers beyond 1.5 × IQR and no strong skew detected.

Results

Coefficient of variation (CV)
9.8193 %
very low relative variability (rule of thumb)
CV as a ratio
0.098193
Standard deviation
2.16025
Mean
22
Count (n)
7
Bias-corrected CV (small samples)
10.17 %
CV × (1 + 1/4n)
Range of typical values (mean ± SD)
19.8398 to 24.1602
Where your CV sits (bar heights are band midpoints, in %)
020406080< 10%: 5< 10%510–20%: 1510–20%1520–35%: 27.520–35%27.535–70%: 52.535–70%52.5> 70%: 80> 70%80
Show step-by-step solution
  1. Standard deviation = 2.16025 and mean = 22.
  2. CV = SD ÷ |mean| = 2.16025 ÷ 22 = 0.098193.
  3. As a percentage: 0.098193 × 100 = 9.8193 %.
FormulaCV = SD / |mean|
Unit-freeYes (ratio or %)
Best forComparing spread across scales
NeedsRatio data, mean ≠ 0

What Is Coefficient of Variation?

The coefficient of variation is the standard deviation divided by the mean, usually written as a percentage. Because it has no units, it lets you compare the relative variability of data sets measured on different scales.

Many people search for "coefficient of variance"; the standard term is coefficient of variation, and the two refer to the same calculation here. The calculator also returns the CV as a ratio, a bias-corrected CV for small samples and the range mean ± SD. It works best for ratio-scale data with a positive mean.

Below you will find the formulas, a variables table, a worked example and answers to common questions such as CV versus RSD and when the CV is misleading.

How to Use the Coefficient of Variation Calculator

  1. Choose raw data or mean and SD.
  2. For raw data, pick sample or population.
  3. Read the CV as a percentage. Lower means more consistent relative to the mean.
  4. Compare it with the CV of another data set, not with the raw standard deviations.

Coefficient of Variation Formula

Coefficient of variation

CV=s∣xˉ∣×100%CV=\frac{s}{|\bar{x}|}\times 100\%

Small-sample correction

CV∗≈(1+14n)CVCV^{*}\approx\left(1+\frac{1}{4n}\right)CV

Coefficient of Variation Variables Explained

SymbolMeaningNotes
CVCoefficient of variations ÷ |x̄|, shown as %
sStandard deviation
x̄MeanShould be well away from zero
nNumber of valuesNeeds at least 2 for raw data

Coefficient of Variation Worked Example

Using the example values (press “Load example” above to try them):

  1. Standard deviation = 2.16025 and mean = 22.
  2. CV = SD ÷ |mean| = 2.16025 ÷ 22 = 0.098193.
  3. As a percentage: 0.098193 × 100 = 9.8193 %.

Result: Coefficient of variation (CV) = 9.8193 %; CV as a ratio = 0.098193.

How to interpret a CV

There is no universal cut-off for a “good” CV, because it depends on the field and the measurement. The bands below are common rules of thumb for general data; laboratories, manufacturers and financial analysts each use their own thresholds.

Rules of thumb for CV
CVReadingExample context
Below 10%Very low variabilityPrecise instrument replicates
10% to 20%LowConsistent process output
20% to 35%ModerateBiological measurements
35% to 70%HighDaily sales, rainfall in a region
Above 70%Very highHighly skewed or volatile data

When not to use the CV

  • Interval-scale data with an arbitrary zero (temperature in °C or °F). A shift in the zero changes the CV.
  • Data with a mean near zero, where the ratio explodes and is unstable.
  • Data that take both positive and negative values, where the mean no longer reflects size.
  • Very small samples, where both the mean and SD are noisy.

CV, RSD and standard deviation compared

CV and RSD are the same quantity in different clothes: ratio versus percent. Analytical chemistry usually says RSD; statistics and finance usually say CV.

Related spread measures
MeasureFormulaUnits
Standard deviationsSame as data
Coefficient of variations / |x̄|None (ratio)
Relative standard deviation100 × s / |x̄|Percent
Standard errors / √nSame as data

Where Coefficient of Variation Is Used

Comparing variability across scales

Judging which data set is relatively more variable.

Lab precision

Reporting repeatability as a percentage.

Finance and operations

Comparing spread relative to the average level.

Coursework

Checking CV calculations from raw data or summary values.

Common Coefficient of Variation Mistakes to Avoid

  • Use CV to compare variability, not to describe a single data set on its own.
  • Check that zero genuinely means “none” on your scale before using a CV.
  • For small samples consider the bias-corrected figure.

Coefficient of Variation Terms and Definitions

Ratio scale
A scale with a true zero where ratios are meaningful (weight, length, money).

Coefficient of Variation FAQs

What is the coefficient of variation?

It is the standard deviation divided by the mean, often expressed as a percentage. It measures relative variability.

What is a good coefficient of variation?

It depends on the field. Lower values mean more consistent data relative to the mean; compare against norms for your own measurement or industry.

Is CV the same as RSD?

Yes. RSD is just the CV multiplied by 100 and reported as a percentage.

Can the coefficient of variation be over 100%?

Yes. It happens when the standard deviation is larger than the mean, typical of strongly skewed data.

Why can’t I use CV for temperature in Celsius?

Celsius has an arbitrary zero. Changing to Kelvin changes the mean and therefore the CV, so the ratio is not meaningful.

Should I use sample or population SD?

Use the sample SD (n − 1) for samples, which is the usual case.

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Last updated 2026-11-09. See our disclaimer.