Royal Leamington Spa Crime Rate October 2024 | Monthly Statistics

Royal Leamington Spa’s crime profile in October 2024 reveals a distinct balance between violent and property crimes, with violent offences dominating the landscape. At 8.5 crimes per 1,000 residents, the area’s overall crime rate is 4.9% above the UK average of 8.1 per 1,000. The most significant share of crimes comes from violence and sexual offences (31.8%), followed by anti-social behaviour (15.0%) and other theft (11.4%). This pattern suggests a community grappling with persistent issues around personal safety and public order, which may be influenced by the town’s character as a historic market town with a mix of residential and commercial areas. The seasonal context of October—marked by darker evenings, the transition to British Summer Time, and Halloween—could contribute to an uptick in anti-social behaviour and alcohol-related incidents in public spaces. Violence and sexual offences in the area are 1% above the UK average, while other theft is 79% above, reflecting potential vulnerabilities in securing retail premises or unattended property. The relatively low rates of burglary (70% below UK average) and theft from the person (50% below UK average) suggest that residential areas may be better protected or that the town’s layout reduces opportunities for such crimes. This mix of crime types highlights the need for targeted interventions in public spaces and continued community engagement to address the root causes of violence and anti-social behaviour.

October 2024 saw notable shifts in crime patterns, with some categories rising sharply while others declined. Other crime increased by 50% compared to September, climbing from 8 to 12 incidents—a jump that may reflect unreported or under-recorded activities. Other theft also rose by 45.5%, from 33 to 48, potentially linked to seasonal shopping activity or increased retail footfall. Conversely, robbery fell by 71.4%, from 7 to 2, which could indicate improved security measures or reduced opportunities for high-risk crimes. Bicycle theft also dropped by 50%, from 12 to 6, due to shorter daylight hours deterring such offences. The crime mix reveals a stark contrast between violent crimes (31.8% of total) and property crimes (29.4% of total), with violent offences significantly outpacing the UK average by 1%. Other theft, at 79% above the UK average, is a particularly concerning outlier, suggesting a need for focused policing in retail areas. Meanwhile, public order offences (29% below UK average) and drugs offences (23% below UK average) show lower-than-expected rates, due to the town’s relatively low population density or effective local initiatives. These variations underscore the importance of understanding local context when interpreting crime statistics.

The crime rate in Royal Leamington Spa rose by 2.7% from 8.3 per 1,000 in September to 8.5 per 1,000 in October, reflecting a slight upward trend. On a daily basis, the town experienced approximately 14 crimes per day in October, a figure that, while consistent with historical patterns, requires attention given the higher proportion of violent crimes. Over the course of the month, one reported crime occurred for roughly every 117 residents—a monthly exposure rate that, while not alarmingly high, indicates that residents are not entirely insulated from crime. This rate is comparable to other mid-sized towns in the UK but highlights the need for vigilance in areas where violent offences are concentrated. The population context of 49,421 residents means that even small absolute changes in crime numbers can have noticeable impacts on community safety. For example, the 50% increase in other crime from 8 to 12 incidents translates to a measurable rise in incidents that may affect perceptions of safety. While the daily crime count is a useful metric for residents to gauge immediate risk, the monthly exposure rate provides a broader perspective on how crime is distributed across the population. These figures, when combined with the town’s specific crime mix, suggest that targeted interventions in high-risk areas could yield meaningful improvements in community well-being.