Hammer Crime Rate

Crime statistics for Hammer, within Chichester, reveal a crime rate of 50.1 per 1,000 residents over the period from January 2025 to December 2025. This figure is notably lower than the UK average of 91.6 per 1,000, suggesting a relatively safer environment compared to the national picture. However, understanding the specific types of crimes occurring and their trends is crucial for assessing the true safety of the area. The recent decrease of 11.0% year-on-year indicates a positive shift, but ongoing vigilance and proactive measures remain essential to maintaining a secure community.

The crime landscape in Hammer is primarily shaped by its close-knit community and the characteristics of a built-up area. The population of 1,615 residents experiences a range of incidents, though the prevalence of certain crime types is notable. The area's relatively small size and proximity to larger urban centres may contribute to the observed crime patterns. The demographics of Hammer, while not explicitly detailed in the data, likely influence the types of crimes reported, with community engagement and local initiatives playing a vital role in shaping the overall safety and security of the neighbourhood. Understanding these factors is essential for developing targeted crime prevention strategies.

Crime rates in Hammer have shown a consistent downward trend, decreasing by 11.0% year-on-year. Examining the monthly data reveals fluctuations, with a peak in crime reported in March 2025 (6.2 per 1,000) and a relatively low point in May 2025 (1.2 per 1,000). While July 2025 experienced a spike (7.4 per 1,000), subsequent months have seen a gradual decline, culminating in a rate of 4.3 per 1,000 in December 2025. This overall reduction suggests the effectiveness of ongoing crime prevention initiatives and highlights the importance of continued efforts to maintain this positive trajectory.

How To Keep Safe in Hammer

Given the prevalence of violence and sexual offences in Hammer, prioritising personal safety is crucial. Firstly, be aware of your surroundings, especially when walking alone at night. Secondly, consider joining or supporting local neighbourhood watch schemes to foster a sense of community and vigilance. Thirdly, avoid walking through poorly lit or isolated areas after dark. Fourthly, ensure your home is well-lit and secure, with robust locks and window security measures. Finally, report any suspicious activity to the police immediately – even seemingly minor incidents can be valuable in preventing more serious crimes.

The timing of crimes in Hammer reveals distinct patterns. During the morning (6am-12pm), theft is most prevalent, often linked to commercial activity. The afternoon (12pm-6pm) also sees a significant amount of theft. The evening (6pm-12am) witnesses a smaller increase in theft, but is notably characterized by an uptick in vehicle crime. Finally, the night (12am-6am) sees an increase in burglary and vehicle crime, suggesting a heightened risk during these hours. Understanding these patterns can inform targeted preventative measures and encourage residents to be particularly vigilant during peak crime times.

Hammer's crime rate of 50.1 per 1,000 residents places it within a varied context when compared to nearby areas. Bramshott Chase and Kingsley Green report zero crime, demonstrating exceptionally low levels of criminal activity. Haslemere, however, mirrors Hammer’s rate at 54.3 per 1,000, while Hindhead reports a slightly lower rate of 41.6 per 1,000. This comparison highlights that Hammer’s safety profile is within a range, and while it benefits from being safer than the UK average, it’s important to be mindful of the varying risks across the Chichester district.

Traditional CCTV systems offer a reactive view – recording events after they occur. In Hammer, where violence and sexual offences represent a significant portion of reported crime, simply recording incidents isn’t enough. scOS offers a proactive approach. Its multi-camera intelligence system constantly monitors your property boundary, using AI to detect potential threats before they escalate. DVLA vehicle verification instantly flags suspicious vehicles, and pattern learning distinguishes between familiar faces and potential intruders. For example, if a vehicle is repeatedly circling your property, scOS will alert you in real-time, allowing for intervention before a burglary can occur. Most burglars make a decision within 60 seconds – scOS provides an immediate deterrent, often causing them to move on. While DIY security systems have their place, the professional-grade equipment and AI-powered preventative capabilities of scOS provide a fundamentally different level of protection, especially given the prevalence of violence and public order offences in Hammer.