Wolverhampton Crime Rate November 2025 | Monthly Statistics

Violence and sexual offences dominate Wolverhampton’s crime picture in November 2025, accounting for nearly 40% of all reported crimes. The local crime rate of 7.8 per 1,000 residents places the area 6.8% above the UK average of 7.3 per 1,000, reflecting a persistent challenge in maintaining public safety. This category’s prevalence is consistent with the area’s character as a major urban centre with a mix of residential, commercial, and retail spaces, where high foot traffic and late-night activity may contribute to incidents. Shoplifting remains a significant concern, making up 15.8% of all crimes and sitting 90% above the UK average for this category. The rise in shoplifting coincides with the Black Friday shopping period, which typically sees increased retail activity and potential vulnerabilities in security measures. Meanwhile, vehicle crime and criminal damage also exceed national averages, likely influenced by the area’s industrial heritage and the presence of car parks in busy districts. Seasonal factors in November—such as dark evenings, Bonfire Night events, and the transition from autumn to winter—may exacerbate risks, particularly for outdoor crimes. The data suggests a combination of local demographics, economic activity, and seasonal rhythms, with no single factor fully explaining the crime profile. Residents and authorities must remain vigilant, especially as the month’s events and weather patterns continue to shape crime trends.

November 2025 saw notable shifts in crime patterns, with shoplifting increasing by 17.6% to 348 incidents—a stark contrast to the UK average of 0.6 per 1,000. This surge aligns with the Black Friday shopping period, which often drives retail crime. Conversely, violence and sexual offences fell by 16.1% compared to the previous month, despite remaining 21% above the UK average for this category. This decline may reflect the impact of shorter daylight hours, which could reduce opportunities for certain types of violent crime. Anti-social behaviour also dropped by 35.2%, likely linked to the enforcement of seasonal event restrictions around Bonfire Night. However, theft from the person rose sharply by 42.9%, climbing from 14 to 20 incidents, due to increased foot traffic during festive events. Drug-related crimes saw a 23.2% increase, which may be attributed to the closure of some licensed premises during the month. The area’s vehicle crime rate—75% above the UK average—remains a concern, particularly in industrial zones where parked vehicles may be targeted. These shifts highlight the dynamic nature of crime in Wolverhampton, where seasonal events and economic factors interact with local conditions to shape monthly trends.

Wolverhampton’s crime rate in November 2025 fell by 6.4% compared to the previous month, declining from 8.4 per 1,000 to 7.8 per 1,000. This reduction, while modest, suggests that targeted interventions or seasonal factors may have had a measurable impact. On a daily basis, the area experienced roughly 74 crimes per day—a figure that, while localised, provides context for residents and businesses planning security measures. Over the course of the month, one reported crime occurred for every 128 residents, a monthly aggregate that underscores the scale of exposure within the population of 281,251. When viewed through a population-scaled lens, Wolverhampton’s crime rate remains higher than the UK average, but the month-on-month decline indicates some progress in addressing persistent issues. The comparison to the UK average also reveals stark contrasts: while shoplifting and violence rates are well above national levels, anti-social behaviour and burglary are significantly lower. These disparities reflect the unique characteristics of Wolverhampton, where economic activity and urban density may drive certain crime types, while community-focused initiatives or policing strategies might mitigate others. The data invites further analysis of how local policies and seasonal events intersect to influence crime trends over time.