Key Takeaways
- 65% of stolen bikes belong to men aged 25-44 in the UK
- Women are 40% more likely to have high-end bikes stolen in urban areas
- Students account for 35% of bike theft victims in university towns
- The average value of a stolen bike in the UK is £500
- US stolen bikes total $500 million in losses annually
- Only 5% of stolen bikes are recovered worldwide
- London, UK had 18,562 bike thefts in 2022
- New York City reported 10,847 bike thefts in 2022
- Portland, Oregon sees 4,500 bike thefts annually
- In 2022, the global bicycle theft rate was estimated at 1.5 million bikes stolen annually worldwide
- Approximately 2 bikes are stolen every minute globally according to 2023 estimates
- Bike theft accounts for 18% of all thefts reported in urban areas worldwide
- Bike thefts in the UK increased by 15% from 2021 to 2022
- US bike thefts rose 12% between 2020 and 2022 post-pandemic
- Netherlands bike thefts decreased 5% from 2019 to 2022 due to better locks
Urban, e bike and commuter hotspots drive most thefts, with men under 30 disproportionately targeted.
Related reading
01 · Category
Demographic Profiles21 stats
Demographic Profiles Interpretation
02 · Category
Economic Impacts and Recovery20 stats
Economic Impacts and Recovery Interpretation
03 · Category
Geographic Variations28 stats
Geographic Variations Interpretation
More related reading
04 · Category
Incidence and Rates20 stats
Incidence and Rates Interpretation
05 · Category
Temporal Trends19 stats
Temporal Trends Interpretation
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.
Gabrielle Fontaine. (2026, February 13). Bike Theft Statistics. Gitnux. https://gitnux.org/bike-theft-statistics
Gabrielle Fontaine. "Bike Theft Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/bike-theft-statistics.
Gabrielle Fontaine. 2026. "Bike Theft Statistics." Gitnux. https://gitnux.org/bike-theft-statistics.
Sources & references
100 datasets cited across this report · attribution is report-level

