Key Takeaways
- Teens are 4 times more likely to die in crashes if using phone while driving, CDC
- Males 18-20 are 3 times more likely to text and drive than females, IIHS
- Drivers under 20 have highest texting while driving rates at 34%
- Economic cost of distracted driving crashes, including texting, exceeds $260 billion annually in the US
- Distracted driving medical costs $99 billion yearly, texting major factor, NSC
- Texting distraction causes 1.6 million crashes yearly, costing $230B, AAA
- In 2022, texting while driving contributed to 3,308 deaths in the US according to NHTSA data
- In 2021, 20% of all police-reported crashes involved driver distraction, many due to texting, NHTSA
- 1 in 4 car accidents in US caused by phone use, including texting, per Zendrive
- Drivers who text while driving spend about 10% of their driving time with eyes off the road, equivalent to driving 400 yards blindfolded at 55 mph
- A text takes eyes off road for 5 seconds at 55 mph, covering football field blind, Virginia Tech
- Every day, 660,000 drivers use phones while driving at any moment, NHTSA
- 48 states ban texting while driving, but enforcement varies, GHSA
- Urban areas see 25% higher texting distraction crashes, USDOT
- Legal fines average $200 per texting ticket
Texting while driving sharply increases crash deaths, with teen drivers facing dramatically higher fatal risk.
Related reading
Demographics
Demographics Interpretation
Economic Impact
Economic Impact Interpretation
Fatality Statistics
Fatality Statistics Interpretation
Incidence Rates
Incidence Rates Interpretation
More related reading
Legal Awareness
Legal Awareness Interpretation
Prevalence
Prevalence Interpretation
Risk Factors
Risk Factors 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.
Sophie Moreland. (2026, February 13). Texting While Driving Accident Statistics. Gitnux. https://gitnux.org/texting-while-driving-accident-statistics
Sophie Moreland. "Texting While Driving Accident Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/texting-while-driving-accident-statistics.
Sophie Moreland. 2026. "Texting While Driving Accident Statistics." Gitnux. https://gitnux.org/texting-while-driving-accident-statistics.
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