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Z-Score Calculator

Tested

Standardize a value.

Tested, not yet published. The formula for this calculator is implemented and passes its automated checks. This page stays non-indexable until it is reviewed and published.

Results

Enter your values and press Calculate. Results appear here.

  • • Result

Quick answer

A z-score is z = (x − μ) ÷ σ, the number of standard deviations a value lies from the mean. A score of 85 with a mean of 70 and standard deviation of 10 has z = 1.5, which is the 93.32nd percentile under a normal distribution.

Enter the value, the mean and the standard deviation. The calculator returns the z-score and the percentile.

Related tools: Confidence Interval Calculator: Confidence interval for a mean (t or z). Standard Deviation Calculator: Sample or population standard deviation with variance and mean. Mean Median Mode Calculator: Mean, median and mode of a data set.

How to use the Z-Score Calculator

  1. Enter value (x).
  2. Enter mean (μ).
  3. Enter standard deviation (σ) (above 0).
  4. Press Calculate to see the result, and use Reset to start again.
Inputs of the Z-Score Calculator
InputWhat to enterAllowed values
Value (x)A number—
Mean (μ)A number—
Standard deviation (σ)A number> 0

Formula and method

Formula

z = (x − μ) ÷ σ

IEEE-754 double precision; shown to at most 6 decimal places.

Number of standard deviations from the mean; percentile uses the standard normal CDF (Abramowitz–Stegun erf approximation, error < 1.5×10⁻⁷).

Worked examples

These examples are verified: each one is an automated test case that the live calculator must reproduce exactly.

Example 1

Inputs: Value (x) = 85; Mean (μ) = 70; Standard deviation (σ) = 10.

Results of example 1
ResultValue
Z-score1.5
Percentile (normal)93.3193%

Example 2

Inputs: Value (x) = 70; Mean (μ) = 70; Standard deviation (σ) = 10.

Results of example 2
ResultValue
Z-score0
Percentile (normal)50%

The first line is the headline result (z-score). Below it the z-Score Calculator lists percentile (normal), which describe the same case from other angles. IEEE-754 double precision; shown to at most 6 decimal places.

Reading a z-score

z = 0 is exactly average, z = 1 is one standard deviation above and z = −1 one below. For a normal distribution about 68% of values fall within ±1, 95% within ±2 and 99.7% within ±3.

The percentile assumes normality

The percentile comes from the standard normal distribution, so it is accurate only if the data are roughly bell-shaped. For skewed data the z-score is still valid as a distance, but its percentile is not. σ must be positive.

How the result changes with value

Holding every other input at the first worked example, this table changes only value. It shows how sensitive the answer is to that one value; each row was produced by running this calculator.

How the result changes with value
ValueZ-scorePercentile (normal)
42.5-2.750.298%
851.593.3193%
17010100%
34027100%

What happens with invalid input

These messages are produced by the calculator itself, so you know what to fix.

  • Standard deviation (σ): entering "0" shows "Standard deviation (σ) must be greater than 0." beside that field and no result.

Choosing between the Z-Score Calculator and similar calculators

Each row shows what a related calculator on this site asks for and what it returns, so you can pick the one that matches your question.

Choosing between the Z-Score Calculator and similar calculators
CalculatorYou enterIt returns
[Confidence Interval Calculator](/statistics/confidence-interval-calculator/)sample mean, standard deviation and sample sizeConfidence interval
[Standard Deviation Calculator](/statistics/standard-deviation-calculator/)data set and data typePopulation standard deviation (σ)
[Mean Median Mode Calculator](/statistics/mean-median-mode-calculator/)data setMean
[Sample Size Calculator](/statistics/sample-size-calculator/)estimate a, confidence level and margin of errorRequired sample size
[T-Score (Standardized) Calculator](/statistics/t-score-calculator/)raw score, mean and standard deviationT-score

Background: descriptive statistics

Population statistics divide by n and sample statistics divide by n − 1 (Bessel's correction), because a sample tends to understate variability. Use the population version when your data is every value in the group, and the sample version when it is a subset.

Defaults differ between tools, and so do quartile conventions, which can give slightly different values for small data sets; this page states the method it uses.

Assumptions and limitations

  • σ must be positive

If a required value is empty, not a number, or outside its allowed range, the form marks that field with a message and shows no result instead of a misleading number. The automated checks deliberately try invalid entries for standard deviation (σ) to confirm this.

Frequently asked questions

What is a good z-score?

It depends on the context; z = 1.5 is above average and z = −1.5 below.

How do I go from z to a value?

Use x = μ + zσ: multiply z by the standard deviation and add the mean.

What is the difference between a z-score and a t-score?

A t-score is used when σ is estimated from a small sample.

What does the Z-Score Calculator calculate?

Standardize a value using a mean and standard deviation. It returns Z-score and Percentile (normal).

What formula does the Z-Score Calculator use?

z = (x − μ) ÷ σ. Number of standard deviations from the mean; percentile uses the standard normal CDF (Abramowitz–Stegun erf approximation, error < 1.5×10⁻⁷).

What do I need to enter in the z-Score Calculator?

You enter Value (x), Mean (μ) and Standard deviation (σ).

How is the result rounded or limited?

IEEE-754 double precision; shown to at most 6 decimal places. σ must be positive.

What is an example of a z-Score result?

With value (x) 85, mean (μ) 70 and standard deviation (σ) 10, the z-score is 1.5.

Sources

  • Standard statistics definition (e.g. NIST/SEMATECH e-Handbook of Statistical Methods)

Content last reviewed 2026-11-04. Formulas and worked examples are checked by automated tests against independently computed values.