Scunthorpe Crime Rate September 2025 | Monthly Statistics

Scunthorpe’s crime rate in September 2025 stood at 11.3 per 1,000 residents, placing it 52.7% above the UK average of 7.4 per 1,000. This figure reflects a combination of local dynamics and broader seasonal influences, with violent crimes—accounting for 38.1% of all reported incidents—emerging as the most prevalent category. The reduction in criminal damage and arson by 44.3% may be partly explained by the transition to shorter evenings, which could limit opportunities for such offences. Similarly, the 30.6% drop in vehicle crime could be linked to reduced commuter traffic following the end of the summer holiday period. However, the persistent high rate of violent crime—67% above the UK average—suggests that systemic issues, such as socioeconomic factors or community tensions, remain unaddressed. The breakdown of crimes also highlights a stark disparity in the local crime profile compared to national trends: shoplifting is 130% above the UK average, while anti-social behaviour is 23% below. These variations indicate that Scunthorpe’s crime picture is shaped by a unique interplay of local factors, including its role as a commuter town and the presence of retail hubs that may drive shoplifting. The seasonal context of September—back-to-school periods, university freshers, and the onset of darker evenings—adds another layer to the analysis, as these factors can influence both the frequency and type of crime. While the month-on-month reduction offers a glimmer of progress, the overall rate remains significantly elevated, necessitating targeted interventions to address the root causes of violent and property-related crime. Local authorities and community organisations must work collaboratively to implement strategies that not only address immediate concerns but also tackle the underlying socioeconomic challenges contributing to the area’s higher crime rates.

September 2025 marked a 44.3% decrease in criminal damage and arson, the most significant monthly reduction, likely linked to shorter evenings and reduced outdoor activity as the season transitions. Vehicle crime fell by 30.6%, possibly reflecting lower commuter traffic or improved parking security measures. Anti-social behaviour also decreased by 26.3%, a trend that may be attributed to local initiatives targeting nuisance crimes during the back-to-school period. However, sharp increases in specific categories raised concerns: possession of weapons rose by 80%, indicating heightened tensions or gaps in enforcement, while bicycle theft climbed by 40%, tied to the return of university students. Robbery increased by 55.6%, highlighting the need for targeted interventions in high-risk areas. Violent crimes remained 67% above the UK average, illustrating the area’s enduring challenges in reducing serious offences. These contrasting trends underscore the complexity of Scunthorpe’s crime picture, where some categories show improvement while others demand urgent attention.

September 2025 saw a 10.4% decline in Scunthorpe’s crime rate, from 12.6 to 11.3 per 1,000 residents, marking the first monthly reduction since March 2025. This decrease aligns with seasonal patterns, as shorter evenings and the start of the academic year may reduce opportunities for public order offences and anti-social behaviour. Locally, the average of 31 crimes per day over the month highlights the persistent nature of crime in the area, though this figure remains significantly higher than the UK average. When contextualised by population, the monthly exposure figure—1 reported crime for every 88 residents—reveals that residents face a higher frequency of crime compared to national trends. Scunthorpe’s crime burden is particularly acute in violent and property-related offences, with the rate of violent crime remaining 67% above the UK average. While the month-on-month reduction suggests potential improvements in policing or community initiatives, the overall rate remains high for the region, underscoring the need for sustained efforts to address underlying factors.