Key Takeaways
- In 2022, 1,993 people were killed in crashes involving a passenger vehicle that struck a fixed object (which includes parking-lot type fixed-object impacts)
- In 2022, 31,310 people were killed in motor vehicle crashes overall in the United States
- NHTSA reports that in 2022, 38,824 (of 31,310 total deaths) is not applicable; total crash deaths were 31,310 in 2022
- In 2022, 6,380 people were killed in crashes involving a pedestrian
- In 2022, 57,342 pedestrians were injured in motor vehicle crashes
- In 2022, 7,318 cyclists were killed in crashes
- In 2022, 5,977 people were killed in motor vehicle crashes in urban areas
- In 2022, 26,318 people were injured in motor vehicle crashes in urban areas
- In 2022, 5,506 people were killed in crashes on local roads
- In 2022, 248,000 people were injured in alcohol-related crashes
- In 2022, 13,524 people were killed in alcohol-impaired driving crashes (B.A.C. 0.08+)
- In 2022, 56,000 people were injured in speeding-related crashes
- In 2022, 2,166 people were killed in crashes involving a wrong-way driver
- In 2022, 13,000 people were injured in crashes involving a wrong-way driver
- In 2022, 1,590 people were killed in crashes involving a vehicle making a left turn
Parking-lot accidents are common, killing and injuring pedestrians, drivers, cyclists, and children annually.
Fatality and injury counts
Fatality and injury counts Interpretation
Pedestrians and cyclists
Pedestrians and cyclists Interpretation
Location, time, and roadway context
Location, time, and roadway context Interpretation
Alcohol, impairment, and behavior
Alcohol, impairment, and behavior Interpretation
Driver errors, vehicle maneuvers, and crash types
Driver errors, vehicle maneuvers, and crash types 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.
Kevin O'Brien. (2026, February 13). Parking Lot Accidents Statistics. Gitnux. https://gitnux.org/parking-lot-accidents-statistics
Kevin O'Brien. "Parking Lot Accidents Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/parking-lot-accidents-statistics.
Kevin O'Brien. 2026. "Parking Lot Accidents Statistics." Gitnux. https://gitnux.org/parking-lot-accidents-statistics.
References
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