Adult Body Mass Index
BMI is calculated by dividing a person’s weight in kilograms by their height in meters squared. A high BMI may indicate excessive body fat.
To determine BMI, use the Adult BMI Calculator or locate your height and weight on the BMI Index Chart.
- If your BMI is less than 18.5, it falls within the underweight range.
- If your BMI is 18.5 to <25, it falls within the healthy weight range.
- If your BMI is 25.0 to <30, it falls within the overweight range.
- If your BMI is 30.0 or higher, it falls within the obesity range.
Obesity is frequently subdivided into categories:
- Class 1: BMI of 30 to < 35
- Class 2: BMI of 35 to < 40
- Class 3: BMI of 40 or higher. Class 3 obesity is sometimes categorized as “severe” obesity.
Note: BMI is a diagnostic instrument for individuals, but it does not diagnose body fatness or health. A trained health care provider should conduct the appropriate evaluations to determine the health status and hazards of an individual. If you have concerns about your BMI, consult with your doctor.
See the following table for an example.
Height | Weight Range | BMI | Considered |
---|---|---|---|
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 | |
271 lbs or more | 40 or higher | Class 3 Obesity |
BMI is moderately correlated with direct measures of body fat obtained from skinfold thickness measurements, bioelectrical impedance, submerged weighing, dual energy x-ray absorptiometry (DXA), and other techniques 1,2,3. In addition, the BMI appears to have a strong correlation with a variety of negative health outcomes, consistent with these more direct measures of body fatness 4,5,6,7,8,9.
For More Information
- Body Mass Index interpretation and tools
- Child and Teen BMI Percentile Calculator
- Defining Childhood Obesity
References
1. Quetelet’s index (W/H2) as a measure of fatness. 1. Garrow, J.S., and J. Webster, 1985. Int. J. Obes., 9(2), pp.147–153.
2. Freedman, D.S., Horlick, M. & Berenson, G.S., 2013. A comparison of the Slaughter skinfold-thickness equations and the BMI for predicting body fatness and cardiovascular disease risk factor concentrations in children. American Journal of Clinical Nutrition, 98(6), 1417–24.
3. Body fat throughout childhood in 2647 healthy Danish children: agreement of BMI, waist circumference, and skinfolds with dual X-ray absorptiometry. Eur. J. Clin. Nutr., 68(6), pp.664–70.
4. Steinberger, J. et al., 2005. Body fatness measurements by BMI and skinfolds versus dual energy X-ray absorptiometry in adolescents and their relationship to cardiovascular risk factors. Int. J. Obes., 29(11), pp.1346–1352.
5. Sun, Q. et al., 2010. A comparison of dual-energy x-ray absorptiometric and anthropometric measures of adiposity in terms of adiposity-related biological factors. Am. J. Epidemiol., 172(12), pp.1442–1454.
6. Lawlor, D.A. et al., 2010. Prospective cohort study of the association between general and central adiposity in childhood, and changes in these, and cardiovascular risk factors in adolescence. BMJ, 341, p.c6224.
7. Estimates of excess mortality associated with body mass index and other anthropometric variables, by K.M. Flegal and B.I. Graubard, 2009. American Journal of Clinical Nutrition, 89(4), 1213–1219.
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8. Freedman, D.S. et al., 2009. The Bogalusa Heart Study examined the association between body mass index and skinfold thicknesses and cardiovascular disease risk factors in youth. American Journal of Clinical Nutrition, 90(1), pp. 210–216.
9. Willett, K. et al., 2006. Comparative analysis of bioelectrical impedance and body mass index (BMI) for predicting obesity-related medical conditions. Obes. (Silver Spring), 14(3), pp.480–490.