Shinfield Crime Rate September 2024 | Monthly Statistics

The crime mix in Shinfield during September 2024 reveals a distinct profile shaped by seasonal and local dynamics. With a crime rate of 6.4 per 1,000 residents — 16.9% below the UK average of 7.7 — the area maintains a relatively low crime environment compared to national benchmarks. The most prevalent crime types were violence and sexual offences (28.3% of all crimes), shoplifting (26.1%), and other theft (13.0%). This distribution suggests a combination of factors, including the area’s suburban character and the influence of September’s seasonal transition. The rise in violence and sexual offences may be linked to the start of the academic year, as universities and schools reopen, increasing foot traffic and social interactions in public spaces. Conversely, shoplifting’s dominance could reflect the presence of retail hubs or high-traffic areas within Shinfield.7 per 1,000 — 150% above the UK average of 0.7 — highlights a local anomaly. Other theft, meanwhile, shows a 51% increase over UK averages, tied to unsecured property in residential areas. The relative scarcity of vehicle crime (0.1 per 1,000, 78% below UK average) and anti-social behaviour (91% below UK average) suggests a community with lower levels of transient populations or fewer public spaces prone to disorder. These patterns illustrate how Shinfield’s suburban layout, combined with its proximity to Wokingham’s urban core, creates a crime profile that balances local vulnerabilities with broader safety trends.

September 2024 saw dramatic shifts in Shinfield’s crime profile, with shoplifting surging 500% from two incidents in August to 12, marking a stark outlier in the data. This increase, coupled with a 300% rise in burglary (from one to four incidents), points to a potential uptick in opportunistic crimes during the month. While shoplifting’s rate of 1.7 per 1,000 residents — 150% above the UK average — underscores a local challenge, the drop in vehicle crime by 50% (from two to one) and anti-social behaviour by 50% (from two to one) suggests some areas of improvement. The crime mix also reveals a notable divergence from national trends: violence and sexual offences, at 1.8 per 1,000 — 31% below the UK average — indicate a lower incidence of serious crimes than expected for an area near a major urban centre. This contrast may be influenced by Shinfield’s suburban nature, where community cohesion and local policing efforts could mitigate violent incidents. Residents might find the 500% increase in shoplifting particularly noteworthy, as it could signal the need for enhanced retail security measures or targeted awareness campaigns. These fluctuations highlight the dynamic interplay between local conditions and broader crime patterns, offering a snapshot of Shinfield’s evolving security landscape.

Compared to August 2024, Shinfield’s crime rate in September rose sharply by 91.9%, jumping from 3.3 to 6.4 per 1,000 residents. This increase, while significant, still leaves the area 16.9% below the UK average. On a daily basis, the 46 reported crimes over 30 days equate to roughly 2 crimes per day — a manageable frequency for a small built-up area. Over the course of the month, one crime occurred for every 156 residents, a figure that places Shinfield in the lower end of the UK’s monthly exposure rates. With a population of 7,175, this translates to a community where the likelihood of being directly affected by crime remains relatively low. The previous month’s rate of 3.3 per 1,000 (August 2024) was lower, suggesting that September’s spike may have been influenced by the return of students and staff to educational institutions, as well as the associated changes in public activity. Despite the month-on-month increase, Shinfield’s overall crime rate remains below the UK average, indicating that the area’s broader safety profile has not been significantly disrupted. These figures, when contextualised within the local population and seasonal rhythms, offer a nuanced picture of Shinfield’s crime environment that balances short-term fluctuations with long-term trends.