Key Takeaways
- 7.0% of U.S. adults had severe obesity in 2015–2016 (BMI ≥40)
- 20.7% of U.S. children and adolescents (ages 2–19) had overweight (BMI ≥85th to <95th percentile) in 2017–2018
- Obesity prevalence reached 41.9% among U.S. adults in 2021–2022 (NHANES-based estimate; BMI ≥30)
- $173 billion estimated annual obesity medical costs in 2019 (2017 dollars)
- $147.0 billion in annual medical costs attributable to obesity in the U.S. (2013 estimate, 2008 US dollars)
- $6.9 billion in annual obesity-attributable Medicaid expenditures (2000s estimate) — childhood obesity-related
- 23% of adults reported intentional weight loss efforts in 2017–2018 (self-reported dieting/weight loss)
- In 2022, 763,000 outpatient visits included obesity as a diagnosis/procedure indicator (estimate from NHDS-based analysis)
- In 2021, 247,000 inpatient hospital stays for bariatric surgery were recorded in the U.S. (estimate)
- 33.7% of adults reported having 0 days of fruit intake in the last week in 2022 (dietary behavior prevalence)
- In 2018, 61.8% of U.S. adults drank sugar-sweetened beverages at least once per day (NHANES-based estimate)
- In 2015–2016, the average daily caloric intake was 2,450 kcal among U.S. adults (NHANES estimate)
- In 2022, FDA approved Ozempic (semaglutide) not for obesity but for diabetes; Wegovy (semaglutide) received obesity indication in 2021 and continued uptake (FDA labeling timeline)
- Obesity-related comorbidities are included in the FDA labeling for anti-obesity drugs such as Zepbound and Wegovy, reflecting a weight-related condition eligibility threshold (measurable criterion)
- In the STEP 1 trial, semaglutide 2.4 mg produced a mean -14.9% weight change at 68 weeks among adults with overweight/obesity without diabetes
Obesity costs the US more than $100 billion yearly and is rising, with nearly 42% of adults affected.
Prevalence
Prevalence Interpretation
Economic Impact
Economic Impact Interpretation
Health Care Utilization
Health Care Utilization Interpretation
Policy And Trends
Policy And Trends Interpretation
Market Dynamics
Market Dynamics Interpretation
Prevalence Rates
Prevalence Rates Interpretation
Health Economics
Health Economics Interpretation
Industry Trends
Industry Trends Interpretation
Patient Outcomes
Patient Outcomes Interpretation
Behavior & Access
Behavior & Access Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Felix Zimmermann. (2026, February 13). United States Obesity Statistics. Gitnux. https://gitnux.org/united-states-obesity-statistics
Felix Zimmermann. "United States Obesity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/united-states-obesity-statistics.
Felix Zimmermann. 2026. "United States Obesity Statistics." Gitnux. https://gitnux.org/united-states-obesity-statistics.
References
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