Kempsey Crime Rate

Kempsey, within the Malvern Hills district, exhibits a crime rate of 53.6 per 1,000 residents annually, as recorded between January 2025 and December 2025. This rate is notably lower than the UK average of 91.6 per 1,000, suggesting a relatively safer environment compared to the national picture. With a safety score of 87 out of 100, Kempsey consistently outperforms the UK average safety score of 79. However, understanding the specific types of crime prevalent in the area is crucial for residents. While crime rates have remained stable year-on-year (0.0% change), fluctuations in monthly figures warrant attention and proactive safety measures.

The crime landscape in Kempsey is primarily shaped by its close-knit community and proximity to larger urban centres. While the area benefits from a strong sense of local identity and community engagement, it is also susceptible to opportunistic crime. The village’s rural location, coupled with relatively low population density, can present unique challenges in terms of resource allocation and crime prevention. Demographics within Kempsey are predominantly comprised of families and older residents, which can influence the types of crimes observed. The presence of local businesses and agricultural activities also contributes to the overall crime profile, with potential for theft and related offences. Understanding these underlying factors is crucial for developing targeted crime prevention strategies.

Crime rates in Kempsey have remained remarkably stable throughout the period from January 2025 to December 2025, showing a 0.0% year-on-year change. While monthly fluctuations occur, these variations don’t indicate a significant upward or downward trend. For example, a peak in crime was observed in May 2025 (5.8 per 1,000/month) followed by a dip in September 2025 (3.5 per 1,000/month). These monthly variations highlight the importance of ongoing vigilance and adaptable safety measures.

How To Keep Safe in Kempsey

Given the prevalence of violence and sexual offences in Kempsey, prioritising personal safety is crucial. Firstly, be aware of your surroundings, particularly when walking alone at night. Secondly, consider joining or forming a neighbourhood watch scheme to foster community vigilance. Thirdly, secure your home and vehicles thoroughly, ensuring doors and windows are locked. Fourthly, report any suspicious activity to the local police immediately. Finally, trust your instincts – if a situation feels unsafe, remove yourself from it.

Crime in Kempsey exhibits a varied pattern throughout the day. Burglary incidents are relatively evenly distributed across the morning, afternoon, and evening, but peak slightly during the night (23%). Vehicle crime is more concentrated during the night, particularly between midnight and 6am (42%), suggesting opportunistic targeting. Theft also shows a peak during commercial hours (afternoon), while violence and antisocial behaviour are more prominent during the evening hours. Understanding these patterns can inform personal safety precautions and targeted crime prevention strategies.

Comparing Kempsey’s crime rate to neighbouring areas reveals significant variations. Callow End, with a rate of 38.0 per 1,000, presents a slightly lower risk, while Norton (Norton Juxta Kempsey) demonstrates a considerably lower rate of 18.6 per 1,000. Powick stands out with a remarkably low rate of 0.0 per 1,000, indicating a particularly safe environment. Collett's Green, however, mirrors Kempsey’s rate closely at 47.0 per 1,000, highlighting the diverse crime risks within the Malvern Hills district.

Traditional CCTV systems often provide a record of incidents after they occur. scOS, however, offers a proactive approach to home security. Reading crime statistics for Kempsey, which shows a concerning prevalence of violence and sexual offences, underscores the need for preventative measures. scOS’s multi-camera intelligence, constantly monitoring your property boundary, detects potential threats before they escalate. Its DVLA vehicle verification instantly identifies suspicious vehicles, and pattern learning recognises your routines, filtering out genuine threats. Imagine: a potential burglar approaches your property; scOS identifies them, activates lights, and triggers a verbal warning – deterring them before they even attempt entry. This is the difference between recording a burglary and preventing one.