Z-Score Calculator

A z-score says how many standard deviations a value is above or below the mean, which lets you compare results from different tests or scales.

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Results update as you type.

Z-score

1.625

1.625 standard deviations above the mean

Percentile (area to the left)
94.7919%if the data are normally distributed
Area to the right
5.20813%
Area between −|z| and +|z|
89.5837%

About this calculator

The calculator also gives the area under the normal curve to the left and right, which is the percentile if the data are normally distributed.

How to use it

  1. Choose whether to find the z-score or the value.
  2. Enter the value or z-score, the mean and the standard deviation.
  3. Read the result and the percentile.

The formula

z = (x − μ) ÷ σ; x = μ + zσ
x
value
μ
mean
σ
standard deviation

Worked example

A score of 78 where the mean is 65 and σ is 8

  1. z = (78 − 65) ÷ 8 = 1.625.
  2. The area to the left is 94.79%, so the score is at about the 95th percentile.

What the result means

z = 0 is the mean. Beyond ±2 is unusual (about 5% of values), and beyond ±3 is rare (about 0.3%).

Assumptions

  • The percentile uses the normal distribution.

Limitations

  • For skewed data the percentile from the normal curve can be off; use the percentile calculator on the raw data instead.

Frequently asked questions

What does a negative z-score mean?

The value is below the mean.

How do I compare scores from two exams?

Convert each to a z-score with its own exam’s mean and standard deviation; the higher z is the better relative result.

What z-score is the 95th percentile?

About 1.645.

Last reviewed on 6 October 2026. Found a mistake? Tell us.