Key Takeaways
- Denver, Colorado, had the highest vehicle theft rate in the US at 1 in 118 vehicles in 2023.
- Memphis, Tennessee, ranked second with a theft rate of 1 in 127 vehicles in 2023.
- Birmingham, Alabama, saw a theft rate of 1 in 128 vehicles in 2023.
- US motor vehicle theft cost $8.9 billion in 2022, including $4.1 billion uninsured losses.
- Average cost of a stolen vehicle claim in US was $10,421 in 2022.
- Insurance payouts for US vehicle thefts totaled $4.1 billion in 2022.
- In 2023, the United States recorded 1,007,638 motor vehicle thefts, marking a 13% increase from 2022.
- Globally, approximately 7.6 million vehicles were stolen between 2015 and 2017, averaging over 2.5 million per year.
- In 2022, Canada reported 90,262 motor vehicle thefts, up 5% from the previous year.
- Motor vehicle thefts in the US increased by 26% from 2020 to 2023.
- Post-COVID surge: US thefts rose from 809,000 in 2020 to over 1 million in 2023.
- UK car thefts doubled from 64,000 in 2021 to 135,000 in 2023.
- Motor vehicle thefts in the US targeted sedans 35% of the time in 2023.
- Chevrolet Silverado was the most stolen vehicle in US in 2023 with 31,602 incidents.
- Honda Accord ranked second with 14,920 thefts in 2023 US.
Denver leads US vehicle theft rates in 2023, highlighting rising car theft costs worldwide.
Hotspots
Hotspots Interpretation
Impacts
Impacts Interpretation
Theft Rates
Theft Rates Interpretation
Trends
Trends Interpretation
Vehicle Types
Vehicle 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.
Timothy Grant. (2026, February 13). Car Theft Statistics. Gitnux. https://gitnux.org/car-theft-statistics
Timothy Grant. "Car Theft Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/car-theft-statistics.
Timothy Grant. 2026. "Car Theft Statistics." Gitnux. https://gitnux.org/car-theft-statistics.
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