Key Takeaways
- In 2022, childhood obesity affected 37 million under 5s globally, projected to rise to 4 in 10 by 2030 if trends continue
- Globally, 160 million children and adolescents aged 5-19 were obese in 2022, up from 31 million in 1990
- Childhood overweight and obesity rates among children under 5 increased from 5.3% in 2000 to 5.6% in 2022 worldwide
- In 2022, 1 in 8 people in the world were living with obesity, equating to over 1 billion individuals affected globally
- Worldwide, the prevalence of obesity nearly tripled between 1975 and 2022, rising from 4% to 16% in adults
- In 2022, 37 million children under the age of 5 were overweight or obese globally
- Obesity is linked to 4 million deaths annually worldwide in 2022
- Obese individuals have a 50-100% increased risk of premature death from all causes, per 2022 data
- At least 2.8 million adults die each year due to overweight or obesity complications globally
- In Pacific Island countries, adult obesity rates exceed 50%, with Nauru at 61% in 2022
- In the WHO European Region, 59% of adults were overweight or obese in 2022, with 23% obese
- Small island developing states have the highest obesity rates globally, averaging 34.5% for adults in 2022
- Globally, adult obesity prevalence increased from 5% to 16% between 1975 and 2022
- From 1990 to 2022, obesity in children under 20 rose from 31 million to 160 million globally
- Worldwide overweight rates in adults rose from 25% in 1990 to 39% in 2022
Millions of children and over a billion adults live with obesity worldwide, rising fast and projected to worsen.
Childhood Obesity
Childhood Obesity Interpretation
Global Prevalence
Global Prevalence Interpretation
Health Impacts
Health Impacts Interpretation
Regional Variations
Regional Variations Interpretation
Trends Over Time
Trends Over Time 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.
Min-ji Park. (2026, February 13). World Obesity Statistics. Gitnux. https://gitnux.org/world-obesity-statistics
Min-ji Park. "World Obesity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/world-obesity-statistics.
Min-ji Park. 2026. "World Obesity Statistics." Gitnux. https://gitnux.org/world-obesity-statistics.
Sources & References
- Reference 1WHOwho.int
who.int
- Reference 2WORLDOBESITYworldobesity.org
worldobesity.org
- Reference 3THELANCETthelancet.com
thelancet.com
- Reference 4NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 5CDCcdc.gov
cdc.gov
- Reference 6OECDoecd.org
oecd.org
- Reference 7OECDBETTERLIFEINDEXoecdbetterlifeindex.org
oecdbetterlifeindex.org
- Reference 8FAOfao.org
fao.org
- Reference 9IFPRIifpri.org
ifpri.org
- Reference 10AFROafro.who.int
afro.who.int
- Reference 11EMROemro.who.int
emro.who.int
- Reference 12PAHOpaho.org
paho.org
- Reference 13AIHWaihw.gov.au
aihw.gov.au
- Reference 14GOVgov.uk
gov.uk






