Key Takeaways
- 132.6 million DALYs in 2016 corresponded to 5.1% of all DALYs worldwide from alcohol use
- Alcohol use accounts for 15% of deaths among people aged 15–49 years (2016 estimates)
- 2,300,000 deaths worldwide were due to alcohol in 2019 according to WHO Global Health Estimates (latest available)
- 13% of adults aged 15+ worldwide are current drinkers (most recent WHO GHO estimates, using surveys compiled by WHO)
- 12.5% of adults worldwide are heavy episodic drinkers (most recent WHO GHO estimates)
- Approximately 67% of the global population of people who drink alcohol are male (WHO Global Health Observatory indicator metadata compilation)
- Alcohol-related harms cost the European Union €155.9 billion in 2019 (OECD/European Commission estimates reported in EU-OSHA/OECD materials)
- The EU estimated alcohol-attributable costs were €155.9 billion in 2019 (alcohol-related morbidity and mortality plus enforcement and productivity losses as reported by OECD-hosted sources)
- Alcohol use disorders are associated with increased mortality; people with alcohol dependence have an estimated relative risk of death of about 2.3 (systematic review meta-analyses)
- Naltrexone reduced heavy drinking episodes by a median 25% compared with placebo in randomized trials (meta-analysis estimate)
- Cochrane review evidence indicates that disulfiram can help maintain abstinence in selected patients compared with placebo (pooled trials)
- In England, alcohol-specific admissions were 1,047,000 in 2022/23 (NHS Digital alcohol-related admissions publication)
- The global alcohol use disorder treatment market was estimated at $10.7 billion in 2023 (GlobeNewswire release summarizing the report)
- In the U.S., the number of admissions related to alcohol and drug abuse in inpatient facilities was 1,500,000 in 2021 (SAMHSA treatment admissions reporting)
- Globally, alcohol accounts for 2.6% of all deaths (2019 estimate, GBD/WHO-based comparative risk framing).
Alcohol use causes 132.6 million DALYs worldwide and costs billions, with millions affected by alcohol use disorders.
Related reading
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Health Burden Interpretation
Prevalence & Risk
Prevalence & Risk Interpretation
Cost Analysis
Cost Analysis Interpretation
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Treatment & Outcomes
Treatment & Outcomes Interpretation
Market Size
Market Size Interpretation
Mortality & Burden
Mortality & Burden Interpretation
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Health Outcomes
Health Outcomes Interpretation
Cost & Policy
Cost & Policy 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.
Diana Reeves. (2026, February 13). Alcoholism Statistics. Gitnux. https://gitnux.org/alcoholism-statistics
Diana Reeves. "Alcoholism Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/alcoholism-statistics.
Diana Reeves. 2026. "Alcoholism Statistics." Gitnux. https://gitnux.org/alcoholism-statistics.
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