Key Takeaways
- 1.3 billion people worldwide were overweight or had obesity in 2016
- In Australia, 31% of adults were obese in 2017–2018
- In Brazil, obesity prevalence among adults was 20.3% in 2019
- 6.2 million deaths worldwide were attributable to high body-mass index in 2019
- In 2017, obesity and overweight were associated with 4.7 million deaths globally (IMPACT model estimates)
- A 2017 estimate found 4.0 million deaths were attributable to obesity worldwide in 2015
- In the US, the share of adults with obesity increased from 30.5% in 2000 to 41.9% in 2017–2018
- The US FDA approved Wegovy (semaglutide 2.4 mg) for chronic weight management in June 2021
- FDA approved Zepbound (tirzepatide) for chronic weight management in November 2023
- In England, 22.9% of children in Year 6 (age 10–11) had obesity in 2022–23
- WHO: 37 million children under 5 were overweight in 2019
- CDC: in the US, 22.2% of children and adolescents aged 2–19 had overweight with obesity in 2021–2022
- The estimated annual medical cost of obesity in the US was $173 billion in 2012
- In the US, productivity costs attributable to obesity were estimated at $6.4 billion in 2008 (indirect costs)
- In Canada, obesity-related healthcare costs were estimated at C$3.2 billion in 2005 (updated estimate ranges in provincial studies)
Obesity affects billions worldwide and drives major health risks, deaths, and rising healthcare costs.
Global Prevalence
Global Prevalence Interpretation
Global Burden
Global Burden Interpretation
Prevention & Policy
Prevention & Policy Interpretation
Child & Adolescent
Child & Adolescent Interpretation
Economic Impact
Economic Impact Interpretation
Risk & Comorbidity
Risk & Comorbidity Interpretation
Health Care Utilization
Health Care Utilization Interpretation
Industry & Market
Industry & Market Interpretation
Treatment Outcomes
Treatment Outcomes 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.
Kevin O'Brien. (2026, February 13). Obesity Statistics. Gitnux. https://gitnux.org/obesity-statistics
Kevin O'Brien. "Obesity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/obesity-statistics.
Kevin O'Brien. 2026. "Obesity Statistics." Gitnux. https://gitnux.org/obesity-statistics.
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