6 Minute Walk Test Calculator

Written by Great Medico

Updated September 24, 2026 •2 min read

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Cardiovascular measurements can carry a lot of meaning, so the math should stay transparent. 6 Minute Walk Test Calculator converts the entered values into one focused clinical estimate.

What this calculator does

Six-minute walk distance is often interpreted by comparing an observed walk with a reference value. This calculator estimates the expected distance for healthy adults from sex, age, height, and weight using the Enright–Sherrill reference equations. Cardiovascular measurements are highly context-dependent, and technique, symptoms, medications, and the rest of the clinical assessment can be as important as the calculated value.

How to use it

Enter or select Sex, Age, Height, and Weight. Use the units offered by the calculator and keep measurements consistent when you plan to compare results over time.

How the calculation works

For men, predicted distance in meters = 7.57 × height(cm) − 5.02 × age − 1.76 × weight(kg) − 309. For women, it equals 2.11 × height(cm) − 2.29 × weight(kg) − 5.78 × age + 667.

Example

For the sample values prefilled in this calculator, the primary result is 591.3 m (6MWD in healthy person). This example is there to show how the inputs flow through the implemented equation; replace the sample values with your own measurements before using the result.

How to interpret the result

The output is the predicted reference distance, not the distance you actually walked. It can be used as a comparison point when a real six-minute walk test has been performed under a standardized protocol.

Limitations and notes

The source equations were developed in healthy adults roughly 40–80 years old and may not generalize to other ages, populations, or testing protocols. Hallway length, encouragement, oxygen use, assistive devices, disease severity, and learning effects can all influence an actual 6MWT result. For clinical use, confirm that the measurements were obtained with the technique assumed by the formula. Repeating a measurement under standardized conditions can be more informative than over-interpreting a small numerical difference.