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Compute adult BMI with standard WHO category bands, a Deurenberg-style body fat percentage estimate from BMI + age + sex, and optional measured body fat% (BIA, skinfolds, DEXA, etc.) to discuss agreement and mismatch. A simple fat mass / lean mass split illustrates two-compartment thinking—not a DEXA report, not ethnicity-specific calibration, and not for children. Explore more medical & health calculators.
Last updated: April 20, 2026
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If provided (about 3–60%), fat mass uses measured %; otherwise it uses the regression estimate.
BMI
27
Overweight (25–29.9)
Est. body fat %
23.6%
Average range (male)
Fat mass (approx.)
18.4 kg
Lean mass (approx.)
59.6 kg
Comparison readout
Higher BMI with lower estimated body fat% — can occur with resistance training and larger lean mass. Regression estimates are often biased in athletes; prefer direct body composition testing if decisions depend on it.
Do not use this page to diagnose obesity or sarcopenia. Athletes, older adults, pregnancy, and many chronic conditions break simple BMI–body fat assumptions.
Maps BMI to underweight, normal, overweight, and obesity class I–III cut points used in many adult public health dashboards.
Predicts average fatness for demographic groups; systematically mis-estimates highly muscled or depleted patients—pair with clinical judgment.
When you enter a lab- or device-reported %, the page highlights large deltas versus the regression to discuss method disagreement and timing.
Fat mass = weight × body fat%; lean mass is the remainder for classroom intuition—real multicompartment models separate water, bone, and visceral depots.
Flags scenarios where BMI looks “normal” but estimated adiposity is higher—useful for discussing waist measures, triglycerides, and resistance training—not for labeling individuals without data.
Explains why powerlifters and rugby forwards can sit in overweight BMI bands while direct body fat methods read lower—regression was not trained for extreme lean mass.
Default demo: 170 cm, 78 kg, male, 32 y → BMI about 27 (overweight band) with a regression-estimated body fat% and category shown live in the calculator card.
BMI is cheap and reproducible globally; adiposity markers add physiologic texture. Teaching both helps learners understand why insurance screens use BMI while clinicians still measure waists and sometimes order imaging or research-grade composition tests.
Height converts to meters; weight converts to kilograms; BMI = kg / m². The WHO label follows standard adult thresholds. Body fat% uses the widely cited Deurenberg linear regression form: BF% ≈ 1.2×BMI + 0.23×age − 10.8×male − 5.4 (male indicator = 1). Optional measured % overrides the fat mass calculation when within range.
We map BMI and estimated body fat% into coarse adiposity scores and narrate common teaching patterns— for example normal BMI + higher estimated fat% vs higher BMI + lower estimated fat%. Large measured-vs-regression gaps trigger separate copy focused on device and laboratory differences.
Pair BMI with central adiposity using our waist-to-height ratio calculator.
Get a Custom Calculator for Your PlatformIf the same person entered a measured 18% from a reliable method, the page would highlight a large gap versus the regression—cue discussion of muscle mass, device error, and why clinicians do not rely on a single surrogate marker.
Share it for nutrition and sports medicine teaching
Suggested hashtags: #BMI #BodyFat #Anthropometry #MedEd #Calculator