Skip to content
Weight management

Body fat percentage: scans, scales, calipers and the Navy method

Every method is an estimate. Here is how far off each one tends to be, and how to get a number you can follow over time.

EVEashan VagishOctober 15, 20269 min read

Last reviewed October 15, 2026

A black and white photo of a woman in a gym holding a barbell across her shoulders, seen from behind.

Body fat percentage is the share of your weight that is fat, and every common way to measure it is an estimate. For one person, smart scales, calipers, the Navy tape method and photo apps are often several points off a lab reference.[6, 12, 16, 21] The most useful number is the change on one method, measured the same way each time.[6]

Key takeaways

  • Each common method measures something else, such as X-ray absorption, electrical resistance or skin thickness, and estimates fat from it.[1, 12]
  • Against a lab reference, 15 bioimpedance devices were off by anywhere from 3.5 points under to 11.7 points over on average.[6]
  • The Navy tape method read 6.0 points below DEXA on average in Army recruits, and it missed fat loss in women during 8 weeks of training.[15]
  • AI photo estimates were off by about 2 points in a study run by the app maker, and about 5 points in an independent test.[19, 21]
  • For tracking, the same device under the same conditions beats switching methods.[6]

How each method works, and how far off it tends to be

Body fat percentage
Fat mass as a share of total body weight. Everything else, including muscle, bone, organs and water, is fat-free mass.

Many studies judge methods against a four-compartment model, which one review calls the gold standard.[2] The table shows how far off each method tends to be for a single person, from the studies cited.

MethodHow far off for one person
DEXA scanDiffers from the lab reference in most studies; two machines of the same model differed by 1.1 points in one clinic[2, 4]
Underwater weighing, Bod PodAbout 2 to 3 points under the lab reference on average[5]
Smart scales (bioimpedance)Typical error 3.1 to 7.5 points across 15 devices[6]
Skinfold calipersStandard error of 3.6 to 4.0 points in women[12]
Navy tape methodRead 6.0 points low on average in Army recruits; about 4 points off for the newer Army version[15, 16]
AI photo estimateAbout 2 to 5 points, depending on the study[19, 21]
Body fat methods compared (points = percentage points of body fat)

DEXA and other lab methods

A dual-energy X-ray absorptiometry (DEXA) scan sends two X-ray beams through you as you lie on a table.[1] One review calls it the preferred reference method today.[1] The radiation dose of a whole-body scan is under 10 microsieverts, about one day of natural background radiation at sea level.[3]

DEXA is not perfect. Most studies comparing it with the four-compartment model found significant differences.[2] It cannot measure body water, so it assumes a fixed water level and counts extra water as lean tissue.[1] When one clinic replaced its scanner with a new one of the same model, body fat readings in volunteers differed by 1.1 points on average, which is why new scanners are cross-calibrated.[4]

Underwater weighing was the gold standard for decades.[1] It means breathing out as far as you can, then going fully underwater, several times, which many people find very uncomfortable.[1] The Bod Pod measures body volume by air displacement.[5] On average it agrees with underwater weighing within 1 point.[5] The few studies against multi-part lab models suggest both read about 2 to 3 points low.[5]

Smart scales and other bioimpedance devices

A bioimpedance scale sends a small current through your body. Water carries it easily and fat resists it, and lean tissue is about 73% water, so the device estimates fat from the resistance.[1] That makes the reading very sensitive to how much water you are carrying.[1]

In 73 healthy adults, 15 devices were checked against a four-compartment model.[6] They repeated themselves well, but their average errors ranged from 3.5 points too low to 11.7 points too high.[6] In hospital patients, three smart scales got weight right but missed DEXA fat mass by 2.2 to 4.4 kg, and the authors said they are not accurate for body composition.[7]

  • Water. Drinking 2 liters of water raised measured body fat by 1.3 to 2.6 points on bioimpedance devices.[8]
  • Meals and time of day. In 18 adults measured through one day, body fat readings varied by 8.8% from highest to lowest in women and 9.9% in men.[9]
  • Your body type. European clinical nutrition guidance says bioimpedance works well in healthy people with normal water balance, but not for routine use at very high or very low BMI.[10]

So a jump from one day to the next may be water, not fat. For change over 12 to 16 weeks, average errors ranged from 0.4 points under to 1.3 points over.[6] Even so, about half the devices tracked change poorly, and the authors advise caution.[6]

Skinfold calipers

Calipers pinch the skin at set sites, and an equation turns the thicknesses into an estimate of body density, then body fat.[11, 12] The Jackson-Pollock equations for women had standard errors of 3.6 to 4.0 points against underwater weighing, across the original and cross-check samples.[12] In 43 adults, calipers read 4.53 points lower on average than a Bod Pod.[13]

Skill matters. Missing a site by as little as 1 cm can change the result, and there are more than 100 equations for turning folds into body fat.[11] In one athlete, the same folds gave 4 to 8% body fat depending on the equation.[11] One upside: skinfolds appear to be the least affected by day-to-day changes.[11]

The US Navy tape method

The Navy method, adopted by all US military services in 2002, estimates body fat from a few tape measurements and height, in inches.[14, 17] Men measure the neck and the abdomen at the navel. Women measure the neck, the waist at its narrowest and the hips.[14]

Body fat %
Men86.010 × log10(abdomen − neck) − 70.041 × log10(height) + 36.76[14]
Women163.205 × log10(waist + hip − neck) − 97.684 × log10(height) − 78.387[14]
The Navy equations (all measurements in inches)

Worked example

A Navy estimate for one person

Take a 35-year-old man who is 70 inches tall, with a 15-inch neck and a 34-inch abdomen measured at the navel.

  1. Abdomen minus neck

    34 − 15

    19 in

  2. First term

    86.010 × log10(19) = 86.010 × 1.2788

    109.99

  3. Second term

    70.041 × log10(70) = 70.041 × 1.8451

    129.23

  4. Put it together

    109.99 − 129.23 + 36.76

    17.5

Navy estimate

about 17.5% body fat

In this example the tape gives 17.5%, but a DEXA scan might read higher. In 1,904 soldiers, this style of tape estimate ran 4.79 points below DEXA on average for men, and 1.69 points below for women.[17]

The 2002 US Defense Department instruction said the method had an error of plus or minus 1 percent.[14] Later studies disagree. In 481 women and 926 men starting Army basic training, the tape read 6.0 points below DEXA on average.[15] Over 8 weeks of basic training, DEXA found body fat fell 4.0 points in women, while the tape found no change.[15]

In 2023 the Army announced a one-site version that uses only the waist at the navel and body weight, and it became the only tape method in 2024.[18] When researchers applied it to waist sizes taken from 3D phone scans, it was close to DEXA on average but read 1.3 points high against a four-compartment model, and was off by about 4 points for a typical person.[16]

The Army has since dropped the tape test. A 2026 directive rescinded the 2023 one and made the waist-to-height ratio its only body composition measure, with a standard below 0.55.[31]

AI estimates from photos

Photo apps estimate body fat from your shape in phone pictures.[19] In a study written mostly by Amazon staff, 134 adults had a photo estimate and a DEXA scan.[19] The photo estimate was off by 2.16 points on average, and 95% of results fell between 5.5 points under and 4.7 points over.[19] The model was trained on people in form-fitting clothes, and loose clothing may give inaccurate results.[19]

A study of 929 adults, with authors from another company, found errors of about 2.8 to 2.9 points against DEXA.[20] A separate test of a different app against a four-compartment model found errors of about 5 points, and the app read too low in people with more body fat.[21] Results also depend on which DEXA machine is treated as the truth.[22]

Tracking change is less studied. In 50 cadets over 12 weeks, changes from 3D optical scans agreed with DEXA changes better than most other methods, though the authors note a single group and small changes.[23] The authors of the 929-person study call for more research on tracking change over time.[20]

Note

Where Dalia fits

Dalia's body scan is not one of the apps studied above. Two photos, front and side, become a 3D model and an AI visual estimate of body fat. It is an estimate, not a DEXA scan, and Dalia publishes no accuracy figure for it. Because any one estimate can be off, compare scans with each other, taken in the same clothes and the same spot, rather than reading one number on its own.

What is a healthy body fat percentage?

When researchers proposed ranges in 2000, they noted that no accepted published ranges existed.[24] They worked out the body fat that lines up with the usual BMI lines, using lab data from 1,626 adults, and called the result provisional.[24]

AgeWomenMen
20 to 3921% to 33%[25]8% to 20%[25]
40 to 5923% to 34%[25]11% to 22%[25]
60 to 7924% to 36%[25]13% to 25%[25]
Predicted body fat at BMI 18.5 and BMI 25, white and African American adults (Gallagher 2000)

The same study gave higher figures for Asian adults, for example 25% to 35% for women aged 20 to 39.[25] The authors said one universal set of ranges would be hard to build.[26] These ranges come from lab methods, so a tape or scale reading is not directly comparable with them.

Why it can matter more than BMI: across 25 studies, standard BMI cut-offs missed about half of people with excess body fat.[27] A 2025 expert commission on obesity says excess body fat should be confirmed by a direct body fat measurement or a measure such as waist size, not BMI alone.[28] Our guide to waist-to-height ratio covers the tape-measure option.

How to track it so the number means something

  1. 1Use one device. Researchers advise using the same device to follow change over time.[6]
  2. 2Same conditions. Measure in the morning after an overnight fast, after using the bathroom, in minimal clothing.[6]
  3. 3Average several days. Track a multi-day average rather than single readings.[6]
  4. 4Do not compare methods. A DEXA result and a scale reading differ by method as well as by any real change. Even DEXA scanners need cross-calibration before they can be compared over time.[4, 26]

When a body fat number falls, it is worth knowing whether muscle went with it. Read losing weight without losing muscle, or start with how to lose weight and keep it off.

When to talk to a clinician

Frequently asked questions

Smart scales estimate fat from how easily a small current passes through you, and water carries that current. Drinking water, eating and time of day all change the reading. In one study, body fat readings varied by 8.8% to 9.9% from highest to lowest over a single day. Weigh at the same time each morning and look at the average over several days.

Each method has its own error. Scales can be several points off for one person, and even two DEXA machines can disagree. Pick one method and follow its trend instead of comparing across methods.

References & further reading

  1. 1.The utility of body composition assessment in nutrition and clinical practice: an overview of current methodology, Nutrients (Holmes and Racette), 2021
  2. 2.The impact of recent technological advances on the trueness and precision of DXA to assess body composition, Obesity (Toombs et al.), 2012
  3. 3.Body composition by DXA, Bone (Shepherd et al.), 2017
  4. 4.A DXA whole body composition cross-calibration experience: evaluation with humans, spine, and whole body phantoms, Journal of Clinical Densitometry (Krueger et al.), 2016
  5. 5.Body-composition assessment via air-displacement plethysmography in adults and children: a review, American Journal of Clinical Nutrition (Fields et al.), 2002
  6. 6.Assessing the reliability and cross-sectional and longitudinal validity of fifteen bioelectrical impedance analysis devices, British Journal of Nutrition (Siedler et al.), 2023
  7. 7.Accuracy of smart scales on weight and body composition: observational study, JMIR mHealth and uHealth (Frija-Masson et al.), 2021
  8. 8.The effect of acute hydration on body composition assessed by multi-frequency and single-frequency bioelectrical impedance, Journal of Sports Medicine and Physical Fitness (Jeong et al.), 2023
  9. 9.Bioelectrical impedance: effect of 3 identical meals on diurnal impedance variation and calculation of body composition, American Journal of Clinical Nutrition (Slinde and Rossander-Hulthén), 2001
  10. 10.Bioelectrical impedance analysis, part II: utilization in clinical practice, Clinical Nutrition (Kyle et al., ESPEN), 2004
  11. 11.Come back skinfolds, all is forgiven: a narrative review of the efficacy of common body composition methods in applied sports practice, Nutrients (Kasper et al.), 2021
  12. 12.Generalized equations for predicting body density of women, Medicine and Science in Sports and Exercise (Jackson et al.), 1980
  13. 13.Test-retest reliability and validity of body composition methods in adults, Clinical Physiology and Functional Imaging (Totosy de Zepetnek et al.), 2021
  14. 14.DoD Instruction 1308.3: DoD physical fitness and body fat programs procedures (2002, archived copy), US Department of Defense, 2002
  15. 15.Body composition changes during 8 weeks of military training are not accurately captured by circumference-based assessments, Frontiers in Physiology (Foulis et al.), 2023
  16. 16.Body composition estimation from mobile phone three-dimensional imaging: evaluation of the USA army one-site method, British Journal of Nutrition (Florez et al.), 2024
  17. 17.Development and cross-validation of a circumference-based predictive equation to estimate body fat in an active population, Obesity Science and Practice (Taylor et al.), 2024
  18. 18.IG update 23-4: guidance on changes to Army Directive 2023-11 (Army body fat assessment for the Army Body Composition Program), US Army Training Center and Fort Jackson, 2023
  19. 19.Smartphone camera based assessment of adiposity: a validation study, npj Digital Medicine (Majmudar et al.), 2022
  20. 20.Agreement of anthropometric and body composition measures predicted from 2D smartphone images and body impedance scales with criterion methods, Obesity Research and Clinical Practice (Nana et al.), 2022
  21. 21.Validity and reliability of a mobile digital imaging analysis trained by a 4-compartment model, Journal of Human Nutrition and Dietetics (Graybeal et al.), 2023
  22. 22.Reference method matters: DXA system differences influence agreement with 3D optical imaging body composition estimates, International Journal of Obesity (Ramirez et al.), 2026
  23. 23.Cross-sectional and longitudinal validity of automated body composition methods in U.S. Air Force Reserve Officers' Training Corps cadets throughout a 12-week physical training program: the Supporting Tactical Athlete Readiness Program, Military Medicine (Graybeal et al.), 2026
  24. 24.Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index, American Journal of Clinical Nutrition (Gallagher et al.), 2000
  25. 25.Healthy percentage body fat ranges (original article PDF, archived), American Journal of Clinical Nutrition (Gallagher et al.), 2000
  26. 26.Healthy percentage body fat ranges (original article text, archived), American Journal of Clinical Nutrition (Gallagher et al.), 2000
  27. 27.Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis, International Journal of Obesity (Okorodudu et al.), 2010
  28. 28.Definition and diagnostic criteria of clinical obesity, Lancet Diabetes & Endocrinology (Rubino et al.), 2025
  29. 29.Safety evaluation of smart scales, smart watches, and smart rings with bioimpedance technology shows evidence of potential interference in cardiac implantable electronic devices, Heart Rhythm (Ha et al.), 2023
  30. 30.Evidence-based recommendations for natural bodybuilding contest preparation: nutrition and supplementation, Journal of the International Society of Sports Nutrition (Helms et al.), 2014
  31. 31.Army Directive 2026-13 (Army Body Composition Program and Standards), Secretary of the Army, 2026
EV

Eashan Vagish

Founder, Dalia Health

Eashan Vagish is the founder of Dalia Health, where he works on making heart and metabolic health easier to understand and track. He writes these guides to answer the health questions people actually ask, in plain language, with links to the research behind every claim.

About this guide: These guides are written by the Dalia Health team. Every factual claim links to its source, preferring peer-reviewed research and public-health bodies such as the NIH, CDC and WHO. Each guide shows when it was last reviewed. They are for general education and are not a substitute for medical advice. Read our editorial policy at daliahealth.com/editorial-policy, and report an error to info@daliahealth.com.

Medical disclaimer: This article is for general educational purposes only and is not medical advice. It is not a substitute for diagnosis or treatment from a qualified healthcare professional. Always talk to your doctor about your individual health, and seek immediate care for any urgent symptoms.

How we write, source and correct these guides: our editorial policy. Spot an error? Email info@daliahealth.com.

Keep reading

Waist size and waist-to-height ratio

One tape measure and one division. Here is how to get the number right, what the bands mean, and what the ratio cannot tell you.

Weight management 8 min read