Z-Score Calculator

Convert a raw value into a z-score to see how far it sits from the mean in standard deviations.
Z-score
1.5

Number of standard deviations the value lies from the mean.

Deviation (x − μ)

15

Z-score

1.5

Position

Above the mean

Formula
z = (x − μ) / σ

About this calculator

A z-score, or standard score, tells you how many standard deviations a particular value lies above or below the mean of its distribution. A positive z-score means the value is above the mean; a negative one means it is below. A z-score of 0 indicates the value equals the mean exactly.

Standardizing data this way lets you compare values measured on different scales — for example, a test score and a height — by expressing each in common units of standard deviation. Z-scores are central to the normal distribution: about 68% of values fall within z = ±1, 95% within ±2, and 99.7% within ±3. The standard deviation must be greater than zero, otherwise the z-score is undefined.

Frequently asked questions

It tells you how far a value is from the mean, measured in standard deviations. A z-score of 2 means the value is two standard deviations above average.

Yes. A negative z-score simply means the value is below the mean. The sign indicates direction, and the magnitude indicates distance.

Values with z-scores beyond ±2 are often considered unusual, and beyond ±3 are rare, since roughly 99.7% of a normal distribution falls within three standard deviations of the mean.

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