Culverstone Green Crime Rate

Crime statistics for Culverstone Green, within the Gravesham district, reveal a crime rate of 43.9 incidents per 1,000 residents annually from January 2025 to December 2025. This rate is significantly lower than the UK average of 91.6 per 1,000, indicating a comparatively safer environment. While the area benefits from a safety score of 90 out of 100, which is higher than the national average of 79, understanding the specific types of crime prevalent is crucial. The recent trend shows a decrease of 16.8% year-on-year, suggesting a positive shift in the area’s safety profile. However, continued vigilance and proactive measures remain essential.

Culverstone Green, a built-up area within Gravesham, exhibits a varied crime profile. Violence and sexual offences represent the most significant concern, accounting for 37.3% of recorded crimes and totalling 50 incidents throughout the data period. Anti-social behaviour follows closely, with 23 occurrences, contributing to a sense of unease within the neighbourhood. Criminal damage and arson also present a notable issue, demonstrating 19 instances of such activity. While other theft, burglary, and public order offences are present, they occur at lower frequencies. The presence of shoplifting, drugs offences and possession of weapons, while relatively infrequent, nonetheless contributes to the overall picture of crime within Culverstone Green. Understanding the nuances of these different crime types is key to developing effective preventative measures.

The decrease in crime observed from January 2025 to December 2025, representing a 16.8% year-on-year reduction, is a positive indication of improving safety in Culverstone Green. Examining the monthly data reveals fluctuations; January 2025 saw 4.3 crimes per 1,000 residents, while February saw a significant drop to 1.6. A subsequent rise was observed in March, followed by a period of relative stability. The months of September and October showed particularly low crime rates, with 2.3 and 2.6 per 1,000 respectively. However, November experienced a spike back to 4.3, and December saw a further increase to 6.9 per 1,000. This fluctuating pattern highlights the need for ongoing monitoring and adaptive strategies to maintain this downward trend.

How To Keep Safe in Culverstone Green

Given the prevalence of violence and sexual offences, be mindful of your surroundings, especially when walking alone at night. Report any suspicious activity to the authorities promptly. With anti-social behaviour also being a concern, consider joining or supporting local community initiatives. Because criminal damage and arson are also present, ensure your property is well-lit and secure. Finally, given the risk of vehicle crime, avoid leaving valuables visible in your car and park in well-lit areas whenever possible. Stay aware and report anything that feels unsafe.

Crimes in Culverstone Green exhibit distinct patterns throughout the day. During the morning (6am-12pm), burglary is relatively less common, with theft being the most prevalent crime type. The afternoon (12pm-6pm) sees an increase in theft, alongside a continued presence of burglaries. The evening period (6pm-12am) demonstrates a shift with a decrease in theft and an increase in burglaries. The night (12am-6am) sees a further increase in burglaries and vehicle crime, indicating a heightened risk during these hours. Understanding these patterns can inform personal safety measures and targeted preventative strategies.

Comparing Culverstone Green to its neighbours, Harvel and Trottiscliffe report no recorded crimes, highlighting their exceptional safety. Vigo Village, however, has a crime rate of 28.1 per 1,000, indicating a higher level of crime than Culverstone Green. Meopham’s rate of 42.0 per 1,000 also demonstrates a slightly elevated risk compared to Culverstone Green, showcasing the varying levels of safety across the Gravesham district.

Traditional CCTV systems often provide valuable footage after a burglary has occurred. However, the right security system can proactively deter crime before it happens. Consider scOS, an AI-powered home security operating system that uses multi-camera intelligence and pattern learning to identify threats at your property boundary. Its DVLA vehicle verification instantly flags suspicious vehicles, and the autonomous response—activating lights and speakers—creates an element of surprise that often deters potential intruders. The 60-second decision point for many burglars is crucial; visible scOS signals serious protection and often makes them move on. While DIY security systems have their place, a professional-grade system like scOS offers a level of protection that goes beyond simple recording.