Audited 29 Jul 2026·Last updated 28 Oct 2026·3 citations·Tier 2·0 uses

Body Adiposity Index (BAI) Calculator

Estimate body fat with the Body Adiposity Index from hip circumference and height, then see the bias against DXA scans found for men and women.

Body Adiposity Index (BAI) Calculator

Sex
Units
Measured at the widest point of the buttocks, feet together, tape horizontal — check in a mirror. Used when Units = Metric.
cm
Standing height in centimetres. Used when Units = Metric.
cm
Widest point of the buttocks, in inches. Used when Units = Imperial.
in
Standing height in inches. Used when Units = Imperial.
in
Body Adiposity Index (%)
25.20
Estimated body fat as a percentage of body weight, from Bergman's equation with no correction applied.
Published bias vs DXA
3.90 pts
BAI minus that bias
21.30 %
Hip (cm)
100 cm
Height (m)
1.75 m
Height^1.5
2.315

Background.

In 2011 Richard Bergman's group published the Body Adiposity Index under a confident title, 'A better index of body adiposity'. Their idea was to estimate body-fat percentage from hip circumference and height alone, with no body weight anywhere in the calculation: hip in centimetres, divided by height in metres raised to the power 1.5, minus 18. In the two groups it was built and tested on, 1,733 Mexican-American adults in the BetaGene study and 223 African-American adults in the TARA study, it tracked fat measured by DXA scanning with correlations of 0.790 and 0.849.

A year later the same journal carried a rebuttal. David Freedman and colleagues compared BAI with DXA in 1,151 adults aged 18 to 110, drawn from eleven studies, and found it read about 3.9 percentage points too high in men and 2.5 too low in women, with errors that also shifted according to how much fat a person carried. The title of their paper gave the verdict: BAI is not a more accurate measure of adiposity than BMI, waist circumference or hip circumference.

You see both sides of that argument in the results: the index exactly as Bergman defined it, the average bias Freedman measured for your sex, and the index with that bias taken off.

The case for using BAI at all is practical. It needs a tape measure and a wall, nothing more, and because weight never enters it the number is not swayed by the day-to-day swings in water and stomach contents that move a scale. Measured the same way over months, it offers a weight-free view of change. As a single reading of how much fat you carry, it is a rough estimate with a known bias, and it does not replace a clinical assessment.

What is body adiposity index (bai) calculator?

The Body Adiposity Index is an estimate of total body fat, expressed as a percentage of body weight, calculated from hip circumference and height. Its two constants, the exponent 1.5 and the intercept 18, were fitted so the output would sit on the same scale as percent body fat measured by DXA (dual-energy X-ray absorptiometry), the scan used as the reference in both studies. One equation serves men and women alike, with no age or sex term. Because it rests on the hip rather than the waist, BAI reflects overall and lower-body fat, whereas waist-based measures are aimed at the abdominal fat most closely tied to heart and metabolic risk.

How to use this calculator.

  1. Select your sex. It does not change the BAI itself, which has no sex term; it chooses which published bias figure is shown and subtracted.
  2. Pick metric or imperial and enter both measurements in that unit. The calculator converts to the centimetres and metres the equation expects.
  3. Measure your hips at the widest point of the buttocks, feet together, with the tape level all the way round and snug without pressing in. A mirror, or a helper, catches a tape that has slipped at the back.
  4. Measure your height standing straight against a wall without shoes.
  5. Read the BAI and the bias-adjusted figure beside it. For tracking, repeat with the same tape, the same landmark and the same clothing each time.

The formula.

BAI = hip(cm) ÷ height(m)^1.5 − 18

BAI = hip ÷ height^1.5 − 18, with hip in centimetres and height in metres. The mixed units are part of the definition, because the constants were fitted with them. Height in centimetres makes the divisor a thousand times larger, so a 100 cm hip at 175 cm would give 0.0432 − 18 = −17.96; hip in metres shrinks the first term a hundredfold. The calculator therefore takes both measurements in one unit and does the conversion itself.

The hip term is linear. At a height of 1.75 m each extra centimetre of hip adds 1 ÷ 2.3150 = 0.432 points. Height works through the 1.5 power, so the same hip on a taller frame reads lower: going from 1.60 m to 2.00 m divides the first term by (2.00 ÷ 1.60)^1.5 = 1.3975, taking a 100 cm hip from 31.41% to 17.36%.

The fixed intercept means the line crosses zero. A 50 cm hip at 2.30 m works out at −3.67%, and 55 cm at 2.20 m at −1.15%, both impossible, so any combination giving zero or less is refused rather than shown. Hip entries are accepted from 50 to 200 cm and heights from 1.20 to 2.30 m.

The bias-adjusted figure is BAI minus Freedman's mean bias: minus 3.9 points for men, plus 2.5 for women. It is an average over 1,151 people, and the same paper found the bias changed with body fatness, so it is a population correction rather than a personal calibration.

A worked example.

Example

A man 175 cm tall measures 100 cm around the widest part of his hips. In metres his height is 1.75, and 1.75 to the power 1.5, which is 1.75 × √1.75, comes to 2.3150. Dividing the hip by that gives 100 ÷ 2.3150 = 43.1959, and subtracting the fixed 18 leaves a BAI of 25.1959%, roughly a quarter of his body weight as fat. Freedman's study found BAI reads 3.9 points high in men on average, so the adjusted figure is 25.1959 − 3.9 = 21.2959%. A woman of the same height with the same hips gets the identical BAI of 25.1959%, because nothing in the equation knows her sex. Her bias runs the other way, so her adjusted figure is 25.1959 + 2.5 = 27.6959%. Two people with one set of measurements end up 6.4 points apart once the published bias is applied, which is the clearest picture of why a single sexless equation struggles.

hip Cm100
height In68.9
sexmale
height Cm175
unitsmetric
hip In39.4

Frequently asked questions.

How close is BAI to a DXA body-fat scan?
In Bergman's own cohorts it correlated with DXA at 0.790 in the BetaGene group and 0.849 in the TARA validation group. In Freedman's broader sample of 1,151 adults it overestimated men by 3.9 points and underestimated women by 2.5 on average, with larger misses at some levels of fatness. It held up inside the groups it was fitted on and travelled less well beyond them.
Is BAI better than BMI?
Freedman's comparison found it no more accurate at estimating body fat, and BMI remains the measure clinical guidelines and risk tools are built on. BAI's niche is when no scale is available, or when you want a number that ignores weight altogether. If you have both, a disagreement between them says something about where you carry weight.
Why does BAI use the hip instead of the waist?
It was designed to estimate total body fat, and Bergman's team found hip circumference, scaled for height, did that job. Waist-based measures such as waist-to-height ratio target abdominal fat, which is more closely linked to cardiovascular and metabolic disease. The two kinds of index therefore disagree most for people whose fat sits mainly on the hips and thighs, or mainly around the middle.
Why do I get no result for a very tall, slim build?
Because the equation would report a negative body-fat percentage. Subtracting a flat 18 means a small hip on a tall frame drops below zero: 50 cm at 2.30 m gives −3.67%. Even 60 cm at 2.20 m clears zero by only 0.39 points. Near those edges the straight-line fit is clearly outside the range it was built for.
How much does a small measuring error change the result?
At 1.75 m tall, every centimetre of hip moves BAI by about 0.43 points, so a tape that sags 2 cm at the back adds nearly a point. That is small beside the 3.9 and 2.5-point biases Freedman reported, but it matters if you are tracking change month to month, so measure at the same landmark, over the same thin clothing or bare skin.
Can I enter my measurements in inches?
Yes. Choose imperial and both fields take inches; each is multiplied by exactly 2.54 to give centimetres, and height is then divided by 100 for metres. A 39.4 in hip becomes 100.076 cm and a 68.9 in height 1.75006 m, so the result matches the metric example to within rounding.

How this page was produced

Published by
Quanta Calculator
Primary sources
3 cited below
Method
BAI = hip(cm) ÷ height(m)^1.5 − 18
Published
Last verified

Built with AI assistance and verified by automated tests against the cited sources — every worked example on this page is computed by the same code that runs the calculator. How we build and check calculators.

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