Key Takeaways
- In 2023, 45% of shoplifters were under 30 years old per Hayes International survey of 150,000 retailers
- UK Ministry of Justice data: 55% of shoplifting offenders in 2022 were aged 10-29
- A 2022 NRF study found 37% of apprehended shoplifters were juveniles under 18
- In 2023, US retailers lost $121.6 billion to shoplifting and ORC per NRF
- UK shoplifting cost retailers £1.5 billion in 2023 per British Retail Consortium
- Jack L Hayes 2023: Shoplifting recovery value hit $450 million from 1.6M catches
- In 2023, professional shoplifters averaged 5 stores hit weekly per ORC task force
- Sweethearting (employee aiding shoplifters) rose 20% in 2023 per NRF
- Use of RFID blockers in shoplifting increased 300% since 2020 per Hayes
- In 2023, the National Retail Federation reported that shoplifting accounted for 36% of total retail shrinkage in the US, equating to $112.1 billion in losses
- UK Office for National Statistics data for 2022/23 showed 430,000 police-recorded shoplifting offences, a 37% increase from the previous year
- A 2022 survey by the National Retail Federation found that 70% of retailers experienced an increase in shoplifting incidents over the prior year
- In 2023, 85% recovery rate for caught shoplifters using CCTV per Hayes
- UK: Civil penalties for low-level shoplifting reduced reoffending by 20% per MoJ 2023
- NRF 2023: Retailers using AI cameras saw 30% drop in incidents
In 2023, shoplifting losses soared as most offenders were young, with $121.6 billion stolen in the US.
Related reading
01 · Category
Demographics of Shoplifters27 stats
Demographics of Shoplifters Interpretation
02 · Category
Economic Impact29 stats
Economic Impact Interpretation
03 · Category
Methods and Trends26 stats
Methods and Trends Interpretation
More related reading
04 · Category
Prevalence and Incidence30 stats
Prevalence and Incidence Interpretation
05 · Category
Prevention and Enforcement27 stats
Prevention and Enforcement 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). Shoplifting Statistics. Gitnux. https://gitnux.org/shoplifting-statistics
Gabrielle Fontaine. "Shoplifting Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/shoplifting-statistics.
Gabrielle Fontaine. 2026. "Shoplifting Statistics." Gitnux. https://gitnux.org/shoplifting-statistics.
Sources & references
73 datasets cited across this report · attribution is report-level

