Skinfold Body Fat Calculator
Estimate body fat percentage with sex-specific Jackson-Pollock three-site skinfold equations.
About skinfold body fat estimates
Skinfold calculation examples
| Measurements | Estimated body fat | Equation |
|---|---|---|
| Male, age 30; chest 10, abdomen 20, thigh 15 mm | 13.6% | Jackson-Pollock male three-site. |
| Female, age 30; triceps 15, suprailiac 12, thigh 20 mm | 19.8% | Jackson-Pollock female three-site. |
| Male, age 40; chest 15, abdomen 25, thigh 20 mm | 18.1% | A larger site sum produces a lower estimated density. |
How to estimate body fat from skinfolds
- Choose the sex-specific Jackson-Pollock equation.
- Enter age and measure each displayed anatomical site with a skinfold caliper.
- Record each measurement in millimeters and repeat inconsistent readings.
- Select Calculate Body Fat to estimate body density and body fat percentage.
- Track change using the same tester, sites, caliper, and conditions.
Frequently asked questions
How accurate is a skinfold body fat estimate?
Accuracy depends on tester skill, caliper quality, site identification, and how well the equation fits the person. Consistent technique makes the method more useful for tracking trends.
Why are different sites used for male and female equations?
The original Jackson-Pollock studies derived separate regressions from sex-specific samples and selected sites that best predicted density in those groups. The formulas therefore are not interchangeable.
Should I average repeated measurements?
Take at least two readings per site and repeat them when they differ beyond your protocol’s tolerance. Use the protocol’s accepted average rather than selecting the most favorable reading.
Why does age affect the calculation?
The regression includes age because the relationship between subcutaneous fat, total fat, and body density changes across adulthood. Age is part of the validated equation rather than a separate judgment.
Can I compare this result with a smart scale?
You can observe broad trends, but the values may differ because each method uses different assumptions. For reliable tracking, compare results produced by the same method under similar conditions.