Swindon Crime Rate July 2025 | Monthly Statistics

Swindon's crime rate in July 2025 reached 8.8 per 1,000 residents, placing it 2.3% above the UK average of 8.6 per 1,000. The most prevalent crime type was violence and sexual offences, accounting for 36.9% of all reported crimes, followed by anti-social behaviour (19.8%) and shoplifting (9.3%). This pattern aligns with Swindon's status as a medium-sized urban centre with a mix of commercial and residential areas. The summer months often see increased foot traffic in town centres, which may contribute to higher rates of anti-social behaviour and shoplifting. However, the most striking finding is the unexpected surge in violent crime, which now accounts for over a third of all reported incidents. This shift contrasts with earlier months, where property crimes historically dominated the breakdown. The rise in violence and sexual offences could be linked to the peak of summer, when festivals and outdoor events draw larger crowds to the area, increasing opportunities for such crimes. While the overall rate remains relatively close to the UK average, the concentration of violent crime in Swindon warrants closer examination of local factors, such as policing strategies or community engagement initiatives. Seasonal factors like school holidays and increased tourism may also play a role. The town's mix of retail, leisure, and residential zones likely creates micro-environments where different crime types are more prevalent, requiring targeted interventions.

July 2025 saw an 83.3% increase in possession of weapons, with incidents rising from 12 to 22. This jump was the most significant month-on-month change and marks a departure from previous trends in the category. Concurrently, theft from the person rose by 75% (8 to 14), and robbery also increased by 75% (8 to 14), suggesting a potential link to summer events or increased public gatherings. These figures contrast with declines in other categories, including a 12% drop in bicycle theft (25 to 22) and a 10.3% decrease in 'other crime' (29 to 26). The violent crime category, which includes violence and sexual offences, remains 9% above the UK average at 3.3 per 1,000, while shoplifting is 23% above the UK rate at 0.8 per 1,000. Vehicle crime fell sharply by 23% compared to the UK average, potentially reflecting effective policing in car parks or increased security measures at major retail hubs. Residents may find the 7.6% increase in public order offences (139 to 125) particularly relevant, as these often occur in high-traffic areas and can impact community safety perceptions. The mix of rising violent crime and falling property crime highlights a shift in the crime profile, which could inform local priorities for crime prevention.

Swindon's crime rate in July 2025 rose to 8.8 per 1,000 residents, a 5.3% increase from June's 8.4 per 1,000. This places the town slightly above the UK average. On a daily basis, Swindon recorded approximately 53 crimes per day in July, a figure that contextualises the monthly total of 1,656 incidents. Over the course of the month, one reported crime occurred for roughly every 114 residents, illustrating the frequency of incidents in a population of 187,986. This monthly exposure rate provides a tangible sense of the scale of crime in the area, though this is an aggregate measure and does not reflect daily fluctuations. When compared to other UK areas, Swindon's property crime rate (0.8 per 1,000) is 23% above the UK average for shoplifting but 23% below for vehicle crime, highlighting the uneven distribution of crime types. The population-scaled perspective reveals that while the overall rate is modest, certain categories—particularly violence and sexual offences—stand out. This comparison underscores the need for targeted approaches to address the most pressing local concerns, such as violent crime, while maintaining efforts to sustain the lower rates seen in other categories like burglary and vehicle crime. The data also suggests that Swindon's crime profile is distinct from the national average, with unique local factors shaping the patterns observed.