Body fat percentage: which method to actually trust
Calipers, tape measures, smart scales and DEXA all disagree with each other. The useful question is not which is true, but which is repeatable.
CalculatorBody Fat EstimatorOpen →Weigh yourself on three different body-fat scales and you will get three different answers. Add a caliper reading and a tape measurement and the spread can easily exceed eight percentage points. This is not because the methods are broken. It is because all of them are estimates, and the marketing rarely says so.
Why bother measuring at all
Bodyweight alone cannot distinguish between losing fat and losing muscle. Two people who both drop four kilograms have had very different outcomes if one lost mostly fat and the other mostly lean tissue.
A body-fat figure also improves the calculators you are likely using. It unlocks lean-mass based energy equations, and it lets protein targets scale off lean mass rather than total weight — which matters a great deal for anyone carrying significant fat, since fat tissue contributes almost nothing to protein requirement.
The realistic options
Tape measurements (Navy method). Free, needs nothing but a tape, and typically lands within about three to four percentage points — the equations were calibrated against hydrostatic weighing at a correlation of roughly 0.90. 1 Accuracy depends far more on measuring the same anatomical sites each time than on technique subtleties. This is the default we recommend for most people.
BMI-based estimates (Deurenberg). Requires no measurement beyond height and weight, and carries a wider error range — the original paper reports a standard error of about four points, and notes that the formula slightly overestimates body fat in obese subjects, so the error is not evenly distributed across the range. 4 Its fundamental limitation is structural: it cannot distinguish muscle from fat, so it systematically overestimates for muscular people and underestimates for the very sedentary.
Skinfold calipers (Jackson-Pollock). The source equations report a standard error around three and a half points for men 2 and slightly wider for women 3. Accurate in trained hands and unreliable in untrained ones. The equations themselves are sound; the variance comes from whether you pinch the same spot, at the same depth, with the same pressure, every time.
Bioelectrical impedance scales. Convenient and heavily influenced by hydration status. Take one reading in the morning and another after a litre of water and you can shift the result by several points without changing anything real. Useful for trend, poor for absolute value.
DEXA. The practical reference standard, and still not perfect — readings vary between machines and even between scans on the same machine. It costs money and requires a booking, which is why almost nobody uses it for routine tracking.
Repeatability beats accuracy
Here is the point most articles on this topic miss.
Suppose your true body fat is 18 percent and your tape measurement consistently reads 21. That method is wrong by three points — and yet it is entirely fit for purpose, because when you actually drop to 15 percent, it will read 18. The error is a constant offset, so the change it reports is correct.
Now suppose you use a different method each month. One reads 21, the next 16, the next 19. You have learnt nothing about whether you are making progress, despite each individual reading being no less accurate than the tape.
Pick one method. Measure under the same conditions — same time of day, same hydration state, same sites. Compare only to your own previous readings from that same method, and ignore comparisons to anyone else’s number.
Using the number sensibly
Do not chase precision you cannot have. If your method carries a ±3.5 point error, treating a shift from 18.2 to 17.9 as meaningful is reading noise. Look for changes larger than the error range, over at least a month.
If you are guessing wildly, leave it blank. Calculators that accept a body-fat input will happily use a bad one. An unreasonable figure produces worse targets than no figure at all, because the tool will confidently scale protein and energy from it.
Consider waist-to-height ratio alongside it. It requires one measurement, has no estimation error to speak of, and predicts cardiometabolic risk better than BMI. A ratio above 0.5 is the commonly cited threshold. 5 It tells you something different from body fat percentage, and it is harder to get wrong.
The bottom line
There is no consumer method that will tell you your body fat percentage to within a point, and the ones that claim to are overselling. Accept the error range, pick the method you will actually repeat — for most people that is a tape measure — and standardise how you use it.
Then largely ignore the absolute number and watch the direction it moves over months. That direction is the only part of this that reliably means anything.
- Hodgdon JA, Beckett MB. Prediction of percent body fat for U.S. Navy men from body circumferences and height. Naval Health Research Center Report No. 84-11, 1984. (Companion report 84-29 covers women.)Checked against the original
- Jackson AS, Pollock ML. Generalized equations for predicting body density of men. Br J Nutr, 1978;40(3):497-504.Checked against the original
- Jackson AS, Pollock ML, Ward A. Generalized equations for predicting body density of women. Med Sci Sports Exerc, 1980;12(3):175-182.Checked against the original
- 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.Checked against the original
- Ashwell M, Gibson S. Waist-to-height ratio as an indicator of early health risk. BMJ Open, 2016.Checked against the original
How we reviewed this article
Every factual claim here is sourced to peer-reviewed research, a government or institutional guideline, or a named textbook. Where a claim carries a numbered marker, it links straight to that source below, so you can check the original rather than take our word for it.
This article has not been reviewed by a credentialed professional. It was researched and written from the primary sources listed below, but a reviewer catches things citations cannot — omitted contraindications, misread effect sizes, and questions of emphasis. We would rather tell you that than imply a review that did not happen. This article touches on health risk, so treat its claims as general information and raise anything that applies to you with a clinician.
Written and edited by a person. All 5 citations have been opened and checked against the original — that the source exists, and that it supports the specific claim it is attached to.
We revisit articles as the evidence changes. This one was last updated on August 20, 2026. Spotted an error? Tell us — corrections are logged publicly.
Estimates and general guidance only. This is not medical advice.
- Added a caveat wherever a body-fat category is shown, noting that category labels come from population averages and are a screening band rather than a verdict.
- Corrected an imperial height display that could show an impossible value such as "5 ft 12 in" at certain heights. The underlying calculation was unaffected.
- All calculators now state that they are built for adults aged 18 and over. The equations behind them were developed and validated on adult bodies and do not produce meaningful results for anyone still growing.