Key Takeaways
- 80% of e-scooter fatal accidents involve a motor vehicle collision
- Alcohol consumption was present in 33% of riders presenting to the ER with scooter injuries
- Surface irregularities like potholes cause 10% of all scooter falls
- Less than 1% of injured e-scooter riders were wearing a helmet at the time of the accident
- Male riders account for 60% of all e-scooter related injury admissions
- The median age of injured e-scooter riders is 34 years old
- Average cost of a single e-scooter trauma hospitalization is $1,649 in California
- Hospitalization rates for e-scooter injuries increased by 175% between 2014 and 2018
- Direct medical costs for scooter injuries reached $400 million in 2022
- Head injuries account for approximately 28% of all electric scooter injuries
- Approximately 45% of injured e-scooter riders sustained a traumatic brain injury
- Fractures represent 27% of all reported e-scooter injuries in urban study areas
- In 2022 there were an estimated 135,500 emergency room visits related to micromobility devices in the US
- The number of e-scooter injuries increased by 22% between 2021 and 2022
- E-scooter injuries rose by 450% between 2017 and 2022 across the United States
Most e-scooter injuries involve road crashes with distracted riders, high speeding, and lack of helmet use.
Accident Causes and Mechanics
Accident Causes and Mechanics Interpretation
Demographics and Risk Factors
Demographics and Risk Factors Interpretation
Economic and Healthcare Impact
Economic and Healthcare Impact Interpretation
Injury Types and Severity
Injury Types and Severity Interpretation
Prevalence and Trends
Prevalence and Trends 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.
Elena Vasquez. (2026, February 13). Electric Scooter Injury Statistics. Gitnux. https://gitnux.org/electric-scooter-injury-statistics
Elena Vasquez. "Electric Scooter Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/electric-scooter-injury-statistics.
Elena Vasquez. 2026. "Electric Scooter Injury Statistics." Gitnux. https://gitnux.org/electric-scooter-injury-statistics.
Sources & References
- Reference 1CPSCcpsc.gov
cpsc.gov
- Reference 2CDCcdc.gov
cdc.gov
- Reference 3JAMANETWORKjamanetwork.com
jamanetwork.com
- Reference 4IIHSiihs.org
iihs.org
- Reference 5SCIENCEDIRECTsciencedirect.com
sciencedirect.com
- Reference 6AUSTINTEXASaustintexas.gov
austintexas.gov
- Reference 7AMJMEDamjmed.com
amjmed.com
- Reference 8UCSFucsf.edu
ucsf.edu
- Reference 9JOURNALSjournals.sagepub.com
journals.sagepub.com
- Reference 10NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 11GHSAghsa.org
ghsa.org
- Reference 12PEDIATRICSpediatrics.aappublications.org
pediatrics.aappublications.org







