Calculate body density from skinfold measurements and convert to body fat percentage using the Siri and Brozek equations.
The Body Density Calculator converts skinfold thickness measurements into whole-body density using the Jackson–Pollock generalized equations, then translates that density into body fat percentage with both the Siri and Brozek conversion formulas. Body density is expressed in g/cm³ and serves as the intermediate step in many body-composition assessment methods, including skinfold calipers, hydrostatic (underwater) weighing, and air-displacement plethysmography (Bod Pod).
Knowing your body density is useful because it links skinfold measurements to a density-based body-fat estimate. Researchers and coaches use these methods because they have been compared with reference techniques such as DEXA, though the final estimate still depends on careful caliper technique and the assumptions built into the conversion formulas.
This calculator supports both the 3-site and 7-site Jackson–Pollock protocols, with sex-specific site selections, and displays results from both the Siri and Brozek equations so you can compare how the estimate changes across common conversion models.
Body density is the intermediate value used in classic density-based body-composition models. Converting skinfold data to density and then to body fat percentage follows the same general workflow used in many teaching, coaching, and sports-science settings. Seeing the density value itself can help you compare protocols and understand how the final body-fat estimate is being produced. Treat the result as a repeatable estimate rather than a direct laboratory measurement.
Jackson–Pollock 3-Site (Male — chest, abdomen, thigh): Body Density = 1.10938 − 0.0008267 × S + 0.0000016 × S² − 0.0002574 × Age where S = sum of 3 skinfolds in mm. 3-Site (Female — tricep, suprailiac, thigh): Body Density = 1.0994921 − 0.0009929 × S + 0.0000023 × S² − 0.0001392 × Age 7-Site (Male — chest, midaxillary, tricep, subscapular, abdomen, suprailiac, thigh): Body Density = 1.112 − 0.00043499 × S + 0.00000055 × S² − 0.00028826 × Age 7-Site (Female — same 7 sites): Body Density = 1.097 − 0.00046971 × S + 0.00000056 × S² − 0.00012828 × Age Siri Equation: BF% = (495 / Density) − 450 Brozek Equation: BF% = (457 / Density) − 414.2
Result: Density 1.0640 g/cm³ → Siri 15.2% BF, Brozek 15.3% BF
A 30-year-old male measures chest 12 mm, abdomen 20 mm, and thigh 15 mm. Sum = 47 mm. Jackson–Pollock 3-site male: Density = 1.10938 − 0.0008267×47 + 0.0000016×47² − 0.0002574×30 = 1.0640 g/cm³. Siri: BF% = (495/1.0640) − 450 = 15.2%. Brozek: BF% = (457/1.0640) − 414.2 = 15.3%. Both equations are close for this example.
Body density has been used in body-composition research since the 1940s, when Albert Behnke first applied Archimedes' principle to human underwater weighing. The concept is simple: fat tissue is less dense than water (about 0.9 g/cm³), while lean tissue is denser (about 1.1 g/cm³). A person's overall density therefore indicates their relative proportion of fat to lean tissue.
In 1978 and 1980, Andrew Jackson and Michael Pollock published generalized regression equations that predict body density from skinfold thicknesses, age, and sex. Unlike earlier population-specific models, these equations were validated across a wide range of body types and ages, making them suitable for general use. The 3-site and 7-site protocols remain widely cited skinfold methods in exercise science.
The Siri equation (1961) and the Brozek equation (1963) are two common formulas for converting density to body fat. Both assume a two-component model (fat vs. fat-free mass), though Brozek's constants are derived from slightly different tissue-density assumptions. For most healthy adults the difference is less than 0.5 percentage points, but in populations with atypical bone density or hydration — such as the elderly, children, or certain ethnic groups — more advanced multi-component models may be more appropriate.
Caliper technique is the single biggest source of error in skinfold-based density estimation. Practitioners should train on repeated practice measurements before collecting data for research. In self-assessment, mark measurement sites with a pen to ensure consistency, measure in the morning before exercise, and avoid skin lotions that can make folds slippery.
Last updated:
This calculator uses the Jackson-Pollock skinfold prediction equations to estimate body density from summed skinfold thickness, age, and sex. It then converts body density to body fat percentage using both the Siri and Brozek equations so the user can compare two common density-to-fat assumptions.
The density estimate is a regression-based approximation, not a direct laboratory measurement. It is most useful for consistent trend tracking when the same measurement sites, caliper, and technique are used over time.
Body density is total body mass divided by total body volume, typically expressed in g/cm³. Lean tissue is denser (~1.1 g/cm³) than fat tissue (~0.9 g/cm³), so a higher body density generally indicates a leaner body. Density is the intermediary value needed to convert skinfold or hydrostatic-weighing data into body fat percentage.
Both convert body density to body fat percentage, but they use slightly different assumptions about fat and fat-free tissue density. For most adults the results are very close. Some practitioners prefer Brozek at very lean or very high body-fat values, but the difference is usually small.
The 7-site protocol samples more body areas and is generally considered more detailed, but it requires more skill and time. The 3-site protocol is quicker and still well-validated. For periodic self-tracking, 3-site is practical. For clinical or research purposes, some practitioners prefer 7-site when they can collect it consistently.
Yes, though Harpenden and Lange calipers are used in many validation studies. Less expensive calipers can work for tracking trends, but absolute values may differ by 1–2 mm. Consistency — using the same caliper each time — is more important than brand choice.
Men and women store fat in different patterns. The Jackson–Pollock equations were developed using sex-specific regression models that select the sites most predictive of total body density for each sex. Using the wrong formula can introduce notable errors.
The equations include an age term because body density tends to decrease with age, even at the same skinfold thickness, due to changes in internal fat, bone density, and hydration. Omitting age would generally overestimate density (and underestimate body fat) in older adults.
Healthy adult males typically have body densities between 1.04 and 1.08 g/cm³ (roughly 8–25% body fat). Healthy adult females range from 1.02 to 1.06 g/cm³ (roughly 18–32% body fat). Athletes may sit outside those ranges.
Hydrostatic weighing measures body density directly by comparing dry weight to underwater weight. Skinfold-based body density uses a prediction equation instead. The two methods can be reasonably close when measurement technique is good, but they should not be treated as identical.