Thundersley and South Benfleet Crime Rate April 2025 | Monthly Statistics

Thundersley and South Benfleet's crime rate of 4.6 per 1,000 residents in April 2025 places the area 40.3% below the UK average of 7.7 per 1,000, highlighting a consistently lower level of criminal activity compared to the national picture. This significant disparity suggests that the area's unique characteristics—such as its relatively low population density, strong community networks, or geographic isolation—may contribute to its lower crime rates. The most common crime type in the area was violence and sexual offences, which accounted for 39.0% of all reported crimes, slightly below the UK average of 2.6 per 1,000 residents. This category's prevalence may be linked to local demographics, such as the proportion of younger residents or the presence of specific community hubs. Other notable crime types included criminal damage and arson (12.1%), shoplifting (7.2%), and public order offences (6.7%), all of which are influenced by seasonal factors. The spring weather and increased outdoor activity in April likely played a role in shaping crime patterns, particularly in reducing opportunities for anti-social behaviour and shoplifting. However, the rise in bicycle theft, drugs, and possession of weapons during the Easter holiday period suggests that transient populations or altered routines may have temporarily increased certain types of criminal activity. The area's violent crime rate of 1.8 per 1,000 residents, 31% below the UK average, indicates that local efforts in community policing or social initiatives may be effective in mitigating violent incidents. Meanwhile, the exceptionally low rates of anti-social behaviour (77% below the UK average) and shoplifting (55% below the UK average) underscore the area's distinct approach to public safety. These figures, when contextualized within the broader UK crime profile, provide a nuanced understanding of the local crime profile and its alignment with national trends. The stability in the crime rate from the previous month further reinforces the notion that the area's crime dynamics are relatively consistent, with fluctuations primarily driven by seasonal and temporal factors rather than long-term shifts.

April 2025 saw a notable rise in bicycle theft, drugs, and possession of weapons, each doubling from their March figures. This increase may partly reflect the Easter holiday period, which often brings transient populations and altered local routines. Conversely, anti-social behaviour and shoplifting both declined significantly, with anti-social behaviour dropping by 52% and shoplifting falling by 33%. These decreases align with the seasonal context of spring, when increased daylight hours and outdoor activity might reduce opportunities for such crimes. The area's violent crime rate of 1.8 per 1,000 residents is 31% below the UK average, a stark contrast to the UK's 2.6 per 1,000 for the same category. This divergence may reflect local community engagement efforts or demographic factors unique to the area. Meanwhile, anti-social behaviour remains exceptionally low, with a 77% deficit compared to the UK average, a statistic that could be of interest to residents concerned about public order. A concrete data point for residents is the monthly exposure figure: over the course of April, one crime occurred for every 216 residents, a ratio that provides a clear, localized measure of risk.

Thundersley and South Benfleet's crime rate of 4.6 per 1,000 residents in April 2025 remained unchanged from the previous month, maintaining a consistent level of criminal activity. This stability suggests that local conditions and patterns have not shifted significantly over the past 30 days. On a daily basis, the area experienced approximately seven reported crimes, a figure that aligns with the area's historical rhythm of activity and offers residents a clear, localized measure of risk. When viewed through the lens of monthly exposure, one crime occurred for every 216 residents over the course of April, a ratio that provides context for how frequently incidents occur relative to the population. This metric is particularly useful for residents, as it transforms abstract statistics into a tangible understanding of likelihood. The area's population of 48,269 further informs the interpretation of these numbers, with crime rates adjusted to reflect demographic density. While the daily and monthly metrics provide a snapshot of local conditions, they do not directly compare to national figures, which are not available at this level of granularity for daily or monthly exposure rates. The consistency in the crime rate over the past month may indicate that local policing strategies, community engagement, or environmental factors have remained stable, though further analysis would be needed to confirm this.