Key Takeaways
- In 2019, the global prevalence of heavy episodic alcohol drinking among adults aged 15+ was 23.3% for men and 10.3% for women.
- Worldwide, 283 million people aged 15+ suffered from alcohol use disorders in 2019, equivalent to 1 in 30 people.
- In 2016, average per capita alcohol consumption among drinkers aged 15+ was 5.5 litres of pure alcohol globally.
- Alcohol-attributable deaths reached 2.6 million globally in 2019, 401,000 among women.
- Alcohol caused 5.1% of the global disease burden in 2016, measured in DALYs.
- Heavy drinking increases risk of liver cirrhosis by 15-fold.
- Excessive alcohol use costs the US $249 billion annually in 2010 dollars.
- In the EU, alcohol-related harm costs €155 billion yearly.
- Global economic cost of alcohol is 2.5% of GDP in high-income countries.
- In the US, men aged 15-24 have highest alcohol consumption rates at 25.8% binge weekly.
- Women in the US increased binge drinking by 58% during COVID-19.
- Globally, men drink 5 times more alcohol than women: 7.3L vs 2.3L pure.
- In 2023, WHO reports 43% decline in youth drinking initiation globally since 1990.
- Minimum unit pricing in Scotland reduced consumption by 3.4%.
- US states with monopoly on spirits sales have 15% lower consumption.
Alcohol use causes immense global harm through health, economic, and social consequences.
Demographics
Demographics Interpretation
Economic
Economic Interpretation
Health
Health Interpretation
Policy
Policy Interpretation
Prevalence
Prevalence 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.
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.
Helena Kowalczyk. (2026, February 13). Alcohol Consumption Statistics. Gitnux. https://gitnux.org/alcohol-consumption-statistics
Helena Kowalczyk. "Alcohol Consumption Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/alcohol-consumption-statistics.
Helena Kowalczyk. 2026. "Alcohol Consumption Statistics." Gitnux. https://gitnux.org/alcohol-consumption-statistics.
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