Key Takeaways
- 1.41% of all U.S. disability-adjusted life years (DALYs) were attributable to alcohol use disorders in 2019
- In 2019, 4,455 people died in crashes involving a driver who had tested positive for alcohol
- In a systematic review, ignition interlock reduced DUI recidivism with an average effect size corresponding to about 40%
- Interlock programs reduced the likelihood of a subsequent DUI by 6.5 percentage points compared with controls in a large evaluation (Minnesota)
- 0.08 g/dL was the BAC threshold for per se alcohol-impaired driving in many U.S. states (0.08 BAC per se laws)
- 26% of people in the U.S. (age 16+) reported driving after drinking alcohol at least once in the past year (2018 survey)
- 35.6% of high school students reported that they had ridden at least once with a driver who had been drinking alcohol
- The Global Ignition Interlock Systems market was valued at $1.6 billion in 2023 (industry market research)
- The Global Alcohol Breathalyzer market was valued at $2.8 billion in 2023 (industry market research)
- In 2022, the breath alcohol testing devices and services market in North America accounted for 38% of global share (industry market research)
- NHTSA’s Alcohol Countermeasures Program is a discretionary grant program that supports states with funding amounts up to $10 million per year (program info)
- In a 2020 meta-analysis, randomized and quasi-experimental ignition interlock studies showed reduced recidivism versus controls
- In a comparative cost-effectiveness analysis, ignition interlocks were cost-effective at willingness-to-pay thresholds in multiple settings (peer-reviewed)
- 11.5% of people age 18+ in the U.S. reported driving after drinking in the past year in 2021
- 2.2% of students in grades 9–12 reported riding with a driver who had been drinking alcohol at least once in the past 30 days (2019 YRBS)
In 2022, 1.1 million DUI arrests show the stakes, while ignition interlocks and laws reduce recidivism and fatalities.
Related reading
Burden And Mortality
Burden And Mortality Interpretation
Trends In Detection
Trends In Detection Interpretation
More related reading
Legal And Enforcement
Legal And Enforcement Interpretation
Market Size
Market Size Interpretation
More related reading
Industry Technology
Industry Technology Interpretation
Cost Analysis
Cost Analysis Interpretation
More related reading
Behavior And Prevalence
Behavior And Prevalence Interpretation
Market Dynamics
Market Dynamics Interpretation
More related reading
Program Effectiveness
Program Effectiveness 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.
Marcus Afolabi. (2026, February 13). Driving Under The Influence Statistics. Gitnux. https://gitnux.org/driving-under-the-influence-statistics
Marcus Afolabi. "Driving Under The Influence Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/driving-under-the-influence-statistics.
Marcus Afolabi. 2026. "Driving Under The Influence Statistics." Gitnux. https://gitnux.org/driving-under-the-influence-statistics.
References
- 1ghdx.healthdata.org/gbd-results-tool?params=
- 2crashstats.nhtsa.dot.gov/API/Public/ViewPublication/812832
- 23crashstats.nhtsa.dot.gov/API/Public/ViewPublication/813364
- 3ncbi.nlm.nih.gov/pmc/articles/PMC4547641/
- 5ncbi.nlm.nih.gov/books/NBK537070/
- 6ncbi.nlm.nih.gov/pmc/articles/PMC6647833/
- 4rand.org/pubs/technical_reports/TR127.html
- 7sciencedirect.com/science/article/pii/S0379073821005397
- 20sciencedirect.com/science/article/pii/S0379073820300408
- 8ncsl.org/democracy-and-government/state-bac-laws
- 9bjs.gov/index.cfm?ty=tpdetail&iid=6651
- 12bjs.gov/index.cfm?ty=pbdetail&iid=6369
- 10cdc.gov/yrbs/
- 22cdc.gov/healthyyouth/data/yrbs/index.htm
- 11law.cornell.edu/uscode/text/49/31306
- 13iihs.org/topics/bibliography/detail/seat-belt-use-in-2018
- 14rosap.ntl.bts.gov/view/dot/22771
- 15fortunebusinessinsights.com/ignition-interlock-systems-market-104215
- 16fortunebusinessinsights.com/alcohol-breathalyzer-market-105524
- 17precedenceresearch.com/breath-alcohol-testing-systems-market
- 18grants.gov/search-results-detail/353206
- 19jamanetwork.com/journals/jama/article-abstract/2776691
- 26jamanetwork.com/journals/jamapediatrics/fullarticle/2773318
- 21samhsa.gov/data/report/substance-use-and-mental-health-estimates-from-the-2021-national-survey-drug-use-and-health
- 24marketsandmarkets.com/Market-Reports/alcohol-breath-test-market-237740043.html
- 25marketsandmarkets.com/Market-Reports/ignition-interlock-systems-market-195516884.html
- 27iii.org/publications/report/alcohol-impaired-driving







