Henley-on-Thames Crime Rate October 2024 | Monthly Statistics

Henley-on-Thames’ crime rate in October 2024 stood at 6.0 per 1,000 residents, placing it 25.9% below the UK average of 8.1. This figure reflects a combination of local factors, including the town’s affluent demographic profile, low-density built-up character, and robust community policing strategies. The most prevalent crime types were violence and sexual offences (46% of all incidents) and anti-social behaviour (8.1%), though both categories showed notable variations in their UK comparisons. Violence and sexual offences, while 5% above the UK average, remained relatively low in absolute terms, consistent with the town’s mix of residential and commercial areas. Anti-social behaviour, in contrast, was 61% below the UK average, aligning with the area’s demographic traits, such as its relatively low youth population and strong local policing initiatives. Seasonal factors also played a role in shaping crime trends, with shoplifting and public order offences declining by 25% and 20% respectively, potentially influenced by heightened retail vigilance and Halloween-related activities. These reductions highlight the impact of local initiatives and seasonal dynamics, even as other categories, such as theft from the person, saw sharp increases. The overall crime rate, though slightly higher than the previous month, remains a testament to Henley’s consistent performance relative to national benchmarks. This data underscores the importance of contextualising crime trends within the broader socio-demographic and geographic framework of the area, where low population density, affluent demographics, and community-focused policing contribute to a unique crime profile.

October 2024 saw notable reductions in shoplifting and public order offences, with the former falling by 25% (from 8 to 6 incidents) and the latter declining by 20% (from 5 to 4). These decreases may reflect heightened retail vigilance during the pre-Christmas shopping period or seasonal deterrence linked to Halloween. Conversely, theft from the person and other theft both rose by 100%, a spike that could be attributed to darker evenings and increased foot traffic in town centres. Violence and sexual offences, though 5% above the UK average, accounted for 46% of all incidents, a pattern consistent with Henley’s mix of residential and commercial areas. Anti-social behaviour, meanwhile, remained 61% below the UK average, a figure that aligns with the town’s community-focused policing and relatively low youth population. These shifts illustrate the interplay between local initiatives and seasonal dynamics in shaping crime trends. For residents, the drop in shoplifting may offer reassurance about retail safety, while the rise in theft from the person underscores the need for vigilance during evening hours.

Henley-on-Thames’ crime rate in October 2024 rose by 21.3% from 5.0 to 6.0 per 1,000 residents, reflecting a slight upward trend despite remaining 25.9% below the UK average. This monthly increase, though modest, is tempered by the town’s consistently low crime levels, which align with its demographic profile as a historically affluent, low-density built-up area. Daily crime statistics reveal an average of two reported incidents per day, a frequency that underscores the rarity of crime in a community where local amenities and policing presence likely contribute to a sense of security. Over the course of the month, one crime occurred for every 165 residents, a figure that highlights the infrequency of incidents in a population of 12,246. This monthly exposure rate, though slightly higher than the previous month, remains significantly lower than the UK average, illustrating the distinct character of Henley’s crime profile. The town’s relatively low youth population and strong community-focused policing initiatives may further explain its sustained performance compared to national benchmarks. These figures contextualise the broader trend of Henley’s crime rate being consistently below the UK average, even as local fluctuations occur.