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All information below is sourced from the CDC website on BMI with regards to Healthy Weight, Nutrition, and Physical Activity. More here.
How is BMI used?
BMI can be a screening tool, but it does not diagnose the body fatness or health of an individual. To determine if BMI is a health risk, a healthcare provider performs further assessments. Such assessments include skinfold thickness measurements, evaluations of diet, physical activity, and family history10.
What are the BMI trends for adults in the United States?
The prevalence of adult BMI greater than or equal to 30 kg/m2 (obese status) has greatly increased since the 1970s. Recently, however, this trend has leveled off, except for older women. Obesity has continued to increase in adult women who are age 60 years and older.
To learn more about the trends of adult obesity, visit Adult Obesity Facts.
What are other ways to assess excess body fatness besides BMI?
Other methods to measure body fatness include skinfold thickness measurements (with calipers), underwater weighing, bioelectrical impedance, dual-energy x-ray absorptiometry (DXA), and isotope dilution 1,2,3. However, these methods are not always readily available, and they are either expensive or need to be conducted by highly trained personnel. Furthermore, many of these methods can be difficult to standardize across observers or machines, complicating comparisons across studies and time periods.
How is BMI calculated?
BMI is calculated the same way for both adults and children. The calculation is based on the following formulas:
| Measurement Units | Formula and Calculation |
|---|---|
| Kilograms and meters (or centimeters) | Formula: weight (kg) / [height (m)]2 With the metric system, the formula for BMI is weight in kilograms divided by height in meters squared. Because height is commonly measured in centimeters, divide height in centimeters by 100 to obtain height in meters. Example: Weight = 68 kg, Height = 165 cm (1.65 m) |
| Pounds and inches | Formula: weight (lb) / [height (in)]2 x 703
Calculate BMI by dividing weight in pounds (lbs) by height in inches (in) squared and multiplying by a conversion factor of 703. 
Example: Weight = 150 lbs, Height = 5’5″ (65″) |
How is BMI interpreted for adults?
For adults 20 years old and older, BMI is interpreted using standard weight status categories. These categories are the same for men and women of all body types and ages.
| BMI | Weight Status |
|---|---|
| Below 18.5 | Underweight |
| 18.5 – 24.9 | Healthy Weight |
| 25.0 – 29.9 | Overweight |
| 30.0 and Above | Obesity |
For example, here are the weight ranges, the corresponding BMI ranges, and the weight status categories for a person who is 5′ 9″.
| Height | Weight Range | BMI | Weight Status |
|---|---|---|---|
| 5′ 9″ | 124 lbs or less | Below 18.5 | Underweight |
| 125 lbs to 168 lbs | 18.5 to 24.9 | Healthy Weight | |
| 169 lbs to 202 lbs | 25.0 to 29.9 | Overweight | |
| 203 lbs or more | 30 or higher | Obesity |
For children and teens, the interpretation of BMI depends upon age and sex. For more information about interpretation for children and teens, read – What is a BMI percentile and how is it interpreted?
Is BMI interpreted the same way for children and teens as it is for adults?
BMI is interpreted differently for children and teens, even though it is calculated using the same formula as adult BMI. Children and teen’s BMI need to be age and sex-specific because the amount of body fat changes with age and the amount of body fat differs between girls and boys. The CDC BMI-for-age growth charts take into account these differences and visually show BMI as a percentile ranking. These percentiles were determined using representative data of the US population of 2- to 19-year-olds that was collected in various surveys from 1963-65 to 1988-9411.
Obesity among 2- to 19-year-olds is defined as a BMI at or above the 95th percentile of children of the same age and sex in this 1963 to 1994 reference population. For example, a 10-year-old boy of average height (56 inches) who weighs 102 pounds would have a BMI of 22.9 kg/m2. This would place the boy in the 95th percentile for BMI – meaning that his BMI is greater than that of 95% of similarly aged boys in this reference population – and he would be considered to have obesity.
For more information and to access the CDC Growth Charts
For adults, the interpretation of BMI does not depend on sex or age. Read more about interpreting adult BMI.
How good is BMI as an indicator of body fatness?
The correlation between the BMI and body fatness is fairly strong1,2,3,7, but even if two people have the same BMI, their level of body fatness may differ12.
In general,
- At the same BMI, women tend to have more body fat than men.
- At the same BMI, the amount of body fat may be higher or lower depending on the racial/ethnic group13-15.
- At the same BMI, older people, on average, tend to have more body fat than younger adults.
- At the same BMI, athletes have less body fat than do non-athletes.
The accuracy of BMI as an indicator of body fatness also appears to be higher in persons with higher levels of BMI and body fatness16. While, a person with a very high BMI (e.g., 35 kg/m2) is very likely to have high body fat, a relatively high BMI can be the results of either high body fat or high lean body mass (muscle and bone). A trained healthcare provider should perform appropriate health assessments to evaluate an individual’s health status and risks.
If an athlete or other person with a lot of muscle has a BMI over 25, is that person still considered to be overweight?
According to the BMI weight status categories, anyone with a BMI between 25 and 29.9 would be classified as overweight and anyone with a BMI over 30 would be classified as having obesity.
However, athletes may have a high BMI because of increased muscularity rather than increased body fatness. In general, a person who has a high BMI is likely to have body fatness and would be considered to be overweight or obese, but this may not apply to athletes. A trained healthcare provider should perform appropriate health assessments to evaluate an individual’s health status and risks.
What are the health consequences of obesity for adults?
People who have obesity are at increased risk for many diseases and health conditions, including the following: 10, 17, 18
- All-causes of death (mortality)
- High blood pressure (hypertension)
- High LDL cholesterol, low HDL cholesterol, or high levels of triglycerides (dyslipidemia)
- Type 2 diabetes
- Coronary heart disease
- Stroke
- Gallbladder disease
- Osteoarthritis (a breakdown of cartilage and bone within a joint)
- Sleep apnea and breathing problems
- Chronic inflammation and increased oxidative stress19,20
- Some cancers (endometrial, breast, colon, kidney, gallbladder, and liver)
- Low quality of life
- Mental illness such as clinical depression, anxiety, and other mental disorders21,22
- Body pain and difficulty with physical functioning23
For more information about these and other health problems associated with obesity, visit Health Effects.
1Garrow, J.S. & Webster, J., 1985. Quetelet’s index (W/H2) as a measure of fatness. Int. J. Obes., 9(2), pp.147–153.
2Freedman, D.S., Horlick, M. & Berenson, G.S., 2013. A comparison of the Slaughter skinfold-thickness equations and BMI in predicting body fatness and cardiovascular disease risk factor levels in children. Am. J. Clin. Nutr., 98(6), pp.1417–24.
3Wohlfahrt-Veje, C. et al., 2014. Body fat throughout childhood in 2647 healthy Danish children: agreement of BMI, waist circumference, skinfolds with dual X-ray absorptiometry. Eur. J. Clin. Nutr., 68(6), pp.664–70.
4Steinberger, J. et al., 2005. Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents. Int. J. Obes., 29(11), pp.1346–1352.
5Sun, Q. et al., 2010. Comparison of dual-energy x-ray absorptiometric and anthropometric measures of adiposity in relation to adiposity-related biologic factors. Am. J. Epidemiol., 172(12), pp.1442–1454.
6Lawlor, D.A. et al., 2010. Association between general and central adiposity in childhood, and change in these, with cardiovascular risk factors in adolescence: prospective cohort study. BMJ, 341, p.c6224.
7Flegal, K.M. & Graubard, B.I., 2009. Estimates of excess deaths associated with body mass index and other anthropometric variables. Am. J. Clin. Nutr., 89(4), pp.1213–1219.
8Freedman, D.S. et al., 2009. Relation of body mass index and skinfold thicknesses to cardiovascular disease risk factors in children: the Bogalusa Heart Study. Am. J. Clin. Nutr., 90(1), pp.210–216.
9Willett, K. et al., 2006. Comparison of bioelectrical impedance and BMI in predicting obesity-related medical conditions. Obes. (Silver Spring), 14(3), pp.480–490.
10NHLBI. 2013. Managing Overweight and Obesity in Adults: Systematic Evidence Review from the Obesity Expert Panel[PDF – 5.98MB]
11Kuczmarski, R.J. et al., 2002. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat. 11., 11(246), pp.1–190.
12Prentice, A.M. & Jebb, S.A., 2001. Beyond body mass index. Obes. Rev., 2(3), pp.141–7.
13Wagner, D.R. & Heyward, V.H., 2000. Measures of body composition in blacks and whites: a comparative review. Am. J. Clin. Nutr., 71(6), pp.1392–1402.
14Flegal, K.M. et al., 2010. High adiposity and high body mass index-for-age in US children and adolescents overall and by race-ethnic group. Am. J. Clin. Nutr., 91(4), pp.1020–6.
15Barba, C. et al., 2004. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet, 363(9403), pp.157–163.
16Bray, G.A. et al., 2001. Evaluation of body fat in fatter and leaner 10-y-old African American and white children: the Baton Rouge Children’s Study. Am. J. Clin. Nutr., 73(4), pp.687–702.
18Bhaskaran K, Douglas I, Forbes H, dos-Santos-Silva I, Leon DA, Smeeth L. Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5•24 million UK adults. Lancet. 2014 Aug 30;384(9945):755-65. doi: 10.1016/S0140-6736(14)60892-8. Epub 2014 Aug 13.
19Engstrom G, Hedblad B, Stavenow L, Lind P, Janzon L and Lingarde F. Inflammation- sensitive plasma proteins are associated with future weight gain. Diabetes. Aug 2003; 52(08): 2097-101.
20Marseglia L, Manti S, D’Angelo G, Nicotera A, Parisi E, DiRosa G, Gitto E, Arrigo T. Oxidative stress in obesity: a critical component in human diseases. International Journal of Molecular Sciences. Dec 2014; 16(1):378-400.
21Kasen, Stephanie, et al. “Obesity and psychopathology in women: a three decade prospective study.” International Journal of Obesity 32.3 (2008): 558-566.
22Luppino, Floriana S., et al. “Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies.” Archives of general psychiatry 67.3 (2010): 220-229.
23Han, T. S., et al. “Quality of life in relation to overweight and body fat distribution.” American Journal of Public Health 88.12 (1998): 1814-1820.
