Health & Wellbeing
Body Fat Percentage (estimate)
Estimated body fat from BMI, age and sex.
Education and reference only. Not a substitute for clinical judgement, local policy or product labelling. Always verify before clinical use. Values are calculated in your browser and never stored.
Background
This calculator estimates body fat percentage from BMI, age and sex using the Deurenberg equation: body fat % = (1.20 x BMI) + (0.23 x age) - (10.8 x sex) - 5.4, where sex is 1 for men and 0 for women. It was developed as a way of converting BMI into an approximate fatness figure when no direct measurement is available. It measures nothing about you directly — it is an educated conversion of your height, weight, age and sex.
Interpreting the result
Read the result as a rough band, not a number. Because the equation is driven by BMI, it inherits BMI's central weakness: it cannot distinguish muscle from fat. A heavily muscled person will be told they carry far more fat than they do, and a sedentary person with little muscle may be told they carry less. Reported standard errors for equations of this kind are in the region of 4 percentage points, which is large relative to the differences people care about. If the figure matters clinically, use a direct method — DEXA, air displacement plethysmography or skinfolds by a trained assessor.
Advice
This is an estimate only and can be several percent off for very muscular or very lean people. It is not a substitute for proper body-composition measurement.
Worked example
A 40-year-old woman, 68 kg and 165 cm. BMI = 68 / (1.65 x 1.65) = 24.98. Body fat = (1.20 x 24.98) + (0.23 x 40) - (10.8 x 0) - 5.4 = 29.98 + 9.2 - 5.4 = about 33.8%.
Pearls / pitfalls
- The equation cannot see muscle. Athletes and regular strength trainers will usually be overestimated, sometimes substantially.
- Because the only inputs are height, weight, age and sex, two people with identical figures get identical results regardless of how differently they are built.
- The relationship between BMI and body fat varies by ethnicity, so the equation carries additional error in populations unlike the one it was derived in.
- For tracking change over time, waist measurements and how clothes fit are usually more informative than a repeatedly recalculated estimate from the same equation.
Evidence & validation
The equation comes from Deurenberg, Weststrate and Seidell (1991), who derived age- and sex-specific prediction formulas relating BMI to body fat measured by densitometry. It was developed in a general adult population and is known to be less reliable at the extremes of body composition and in populations that differ from the derivation sample, including some ethnic groups in whom the BMI-to-fatness relationship differs.
Frequently asked questions
How accurate is this body fat estimate?
It is a rough guide. Prediction equations of this type typically carry errors around 4 percentage points, and the error is larger for very muscular or very lean people.
Why does it use BMI rather than measuring me?
It is designed for situations where no direct measurement is available. It converts BMI, age and sex into an approximate fatness figure — which is why it inherits BMI's inability to distinguish muscle from fat.
What is a healthy body fat percentage?
Commonly quoted healthy ranges are roughly 21-33% for women and 8-21% for men, varying with age, but there is no single official UK threshold and these estimates are too imprecise to place you confidently in a band.
Are body fat scales more accurate?
Bioimpedance scales use a different method with its own error and are sensitive to hydration and time of day. NICE advises against using bioimpedance as a substitute for BMI in adults.
How do I get a proper measurement?
DEXA scanning, air displacement plethysmography (Bod Pod) or skinfold measurement by a trained assessor. All are more accurate than any equation based on BMI.
References
- Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991;65(2):105-114.
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