Fence Crime Rate

Introduction to Crime in Fence

Fence reports a very low overall crime rate of 42.1 per 1,000 residents annually. This figure is substantially below the UK average crime rate of 93.4 per 1,000, indicating a particularly safe environment. The area boasts an impressive safety score of 91 out of 100, significantly higher than the UK average safety score of 78. In terms of recent trends, Fence has seen an increasing in crime, with a notable 28.8% increase year-over-year. This introduction provides a snapshot of the current crime landscape in Fence, setting the context for a detailed analysis of local crime patterns.

Crime Type Analysis in Fence

In Fence, 'Violence and sexual offences' is the most reported crime type, accounting for 31.3% of all incidents, at a rate of 13.2 per 1,000 people. 'Anti-social behaviour' follows closely, representing 26.9% of the total, with a rate of 11.3 per 1,000. The third most frequent crime type is 'Criminal damage and arson', which constitutes 13.4% of crimes, at a rate of 5.7 per 1,000.

Property-related crime, encompassing burglary, various theft categories (other theft, shoplifting, theft from the person, bicycle theft), vehicle crime, criminal damage and arson, and robbery, forms a part of the local crime picture. In Fence, the property crime rate is 14.5 per 1,000 residents, which is considerably lower than the UK average of 33.2 per 1,000. This low rate is a significant contributor to the area's high safety score, suggesting a reduced risk for residents regarding their possessions. Nevertheless, maintaining effective security measures is always advisable.

Crime Trends in Fence

Fence has experienced an increasing in its overall crime rate year-over-year, with a substantial 28.8% increase. Analysing the monthly crime rates per 1,000 residents shows fluctuations. The rate started at 1.9 in 2024-10, dipped to a low of 1.9 in 2025-01 (October, January, February). The rates then generally fluctuated, with a notable peak in December at 6.3. The rates then generally fluctuated, concluding at 5.0 in 2025-09. This overall increasing trend indicates a growing concern for residents regarding local safety conditions.

Time Patterns of Crime in Fence

Crime in Fence exhibits distinct temporal patterns throughout the day. Morning hours (6am-12pm) are characterised by 'Other' crimes (35%) and theft (29%). In the afternoon (12pm-6pm), burglary becomes the most significant factor at 38%, with theft also elevated at 30%. During the evening (6pm-12am), 'Other' crimes dominate at 48%, while night-time (12am-6am) sees a substantial increase in vehicle crime (25%) and burglary (37%).

Crime in Nearby Areas

To provide regional context, Fence can be compared with nearby areas such as Higham (Pendle), Brierfield, Barrowford, and Nelson (Pendle). With an overall crime rate of 42.1 per 1,000 residents, Fence is significantly safer than the national average. Understanding the crime profiles of these neighbouring localities can offer valuable insights for residents and those considering the wider Pendle district.

Protecting Your Home in Fence

Given Fence's very low property crime rate of 14.5 per 1,000 residents, which is substantially below the UK average, residents benefit from a generally safe environment. However, effective home security remains a wise investment. While traditional CCTV systems merely record incidents, proactive solutions like scOS are designed to prevent crime before it happens.

True security lies in prevention, not just reaction. Systems that detect threats at your property boundary, rather than waiting for an intruder to enter your home, offer a significant advantage. This proactive approach can deter most burglars, who often decide within 60 seconds whether to proceed. Visible, professional-grade deterrence signals serious protection and often makes potential criminals move on to an easier target. If you are looking for real protection that goes beyond simply recording an incident, consider advanced systems that offer multi-camera intelligence, DVLA vehicle verification, and pattern learning to distinguish between routine activities and genuine threats, providing autonomous responses to secure your property.