- New Mexico has the highest shoplifting rate
- Florida remains sixteen percent below national average
- Age group thirty to thirty-nine shoplifts most
- National average is three hundred eighty incidents
A recent study conducted by QR Code Generator has examined the prevalence of shoplifting across the United States, utilizing data from the FBI’s Crime Data Explorer. The research assessed the number of incidents over a 12-month period and compared them to state populations to determine the number of cases per 100,000 residents. According to the findings, the national average for shoplifting stands at 380.4 incidents per 100,000 people.

The study reveals a wide disparity between the states with the highest and lowest rates. New Mexico ranks as the state with the highest shoplifting rate in the country, recording 777.97 incidents per 100,000 people. This figure is 105% above the national average. Other states with significantly high rates include Oregon, Arizona, Delaware, and New York. In many of these high-frequency states, the peak periods for such incidents occur during the summer months or the December holiday season.
In contrast, Florida is highlighted as one of the states with a lower incidence rate. Florida recorded 320.05 shoplifting incidents per 100,000 residents, which is 16% below the national average. Within the state, the month of May was identified as the period with the highest number of reported cases. The research also looked at demographic trends, finding that the 30-39 age group is responsible for the majority of shoplifting across most states, including Florida.
Other states performing better than the national average include Illinois, Iowa, Utah, and California. While the reasons for these variations were not the primary focus of the statistical ranking, the data provides a benchmark for understanding retail crime trends across different geographic regions. The analysis suggests that while shoplifting remains a concern for retailers, several large states like Florida and California are managing rates that fall significantly below the national norm.
