Chepstow Crime Rate

Introduction to Crime in Chepstow

Chepstow records an overall crime rate of 87.9 per 1,000 people per year, placing it safer than the UK average of 93.4 per 1,000. The town maintains a good safety score of 80 out of 100, which is above the UK average of 78. Furthermore, Chepstow has experienced a positive trend with a year-over-year decrease in crime of 10.5%. These figures provide a comprehensive overview for residents and visitors, detailing the current crime landscape and recent positive changes.

Crime Type Analysis in Chepstow

In Chepstow, Violence and sexual offences are the most prevalent crime type, accounting for 33.9% of all incidents with 357 crimes (29.9 per 1,000 residents). Anti-social behaviour follows as the second most common, making up 16.8% of crimes (177 incidents, 14.8 per 1,000), with Shoplifting ranking third at 11.9% (125 incidents, 10.4 per 1,000). When considering property-related crime, which includes burglary, theft from person, criminal damage and arson, bicycle theft, vehicle crime, other theft, and shoplifting, Chepstow's rate stands at 28.1 per 1,000 people. This is lower than the UK average of 33.2 per 1,000. For homeowners and residents, this suggests a comparatively reduced risk of offences directly impacting personal property, although maintaining vigilance and implementing security measures remains important.

Crime Trends in Chepstow

Chepstow has demonstrated a positive shift in its crime statistics, with a notable year-over-year decrease of 10.5% in overall reported crimes. Analysis of the monthly trend data shows fluctuations but points to a general decline. For instance, after a rate of 6.6 per 1,000 in October 2024, the crime rate saw a rise to 8.7 in November, then a dip to 6.5 in January 2025. While there were some increases in the following months, peaking at 9.5 per 1,000 in August 2025, the overall picture indicates an improving safety environment for residents. This sustained decrease is a positive indicator of community safety efforts and local policing effectiveness.

Understanding Crime Time Patterns in Chepstow

Crime patterns in Chepstow exhibit variations throughout the day. Morning hours (6am-12pm) are dominated by theft-related offences (51%) and 'other' crime (27%), with burglary at 13%. The afternoon (12pm-6pm) sees theft increase slightly to 53% and burglary to 21%, likely reflecting periods of increased commercial activity and unattended properties. In the evening (6pm-12am), 'other' crime becomes the most significant category at 46%, while theft reduces to 24%. Night-time (12am-6am) is characterised by higher vehicle crime (25%) and 'other' crime (33%), alongside burglary (28%), indicating vulnerabilities during hours of darkness and reduced activity.

Crime Comparison with Nearby Areas

When comparing Chepstow's crime statistics with its surrounding built-up areas, a regional context emerges. Chepstow's overall crime rate of 87.9 per 1,000 is generally comparable to or lower than some of its immediate neighbours in the wider region. Areas such as Tutshill and Sedbury, Beachley, Woodcroft, and St Arvans contribute to the local crime landscape. Understanding these local variations helps residents gauge their immediate environment and provides valuable insight when considering regional safety profiles and how Chepstow stands within them.

Protecting Your Property in Chepstow

With Chepstow's property crime rate at 28.1 per 1,000, which is below the national average, residents should still prioritise effective home security. Relying solely on traditional security cameras often means you only get footage after a burglary has occurred, offering little in the way of actual prevention. For true peace of mind, a proactive approach is essential.

AI-powered security operating systems like scOS are designed to prevent crime before it happens. These systems proactively detect threats at your property boundary, rather than reacting after a break-in. Multi-camera intelligence ensures comprehensive surveillance, constantly monitoring all angles. Features such as DVLA vehicle verification can instantly flag suspicious vehicles, while pattern learning allows the system to differentiate between routine activities and genuine threats, avoiding false alarms. Should a threat be detected, the system can initiate an autonomous response, activating lights and speakers to disorient intruders and destroy the element of surprise. This professional-grade deterrence signals serious protection, making burglars reconsider and move on within their crucial 60-second decision window.