Nelson (Pendle) Crime Rate

Introduction to Crime in Nelson (Pendle)

Nelson (Pendle) records an overall crime rate of 126.1 per 1,000 residents annually. This figure is notably higher than the UK average crime rate of 93.4 per 1,000. The area's safety score stands at 72 out of 100, which is below the UK average safety score of 78. In terms of recent trends, Nelson (Pendle) has experienced an increasing in crime, with an 8.3% increase year-over-year. This overview provides a foundation for understanding the specific crime challenges and patterns observed within Nelson (Pendle).

Crime Type Analysis in Nelson (Pendle)

A detailed look at crime types in Nelson (Pendle) shows that 'Violence and sexual offences' is the most frequent category, making up 33.5% of all crimes, at a rate of 42.3 per 1,000 people. 'Anti-social behaviour' follows as the second most common, accounting for 31.1% of incidents, with a rate of 39.2 per 1,000. 'Criminal damage and arson' is the third most reported crime type, contributing 6.8% of the total, at a rate of 8.5 per 1,000.

Property-related crime, including burglary, various forms of theft (other theft, shoplifting, theft from the person, bicycle theft), vehicle crime, criminal damage and arson, and robbery, forms a significant part of the crime landscape. In Nelson (Pendle), the property crime rate is 31.8 per 1,000 residents, which is comparable to the UK average of 33.2 per 1,000. This suggests that while property crime is a concern, it aligns closely with national levels, underscoring the importance of robust security measures for both homes and businesses.

Crime Trends in Nelson (Pendle)

Nelson (Pendle) has experienced an increasing in overall crime year-over-year, with a 8.3% increase compared to the previous 12-month period. Reviewing the monthly crime rates per 1,000 residents, there is a clear pattern of fluctuation. The rate started at 11.5 in 2024-10, dipped to 8.4 in 2025-02, and then rose significantly to a peak of 12.2 in 2025-05. The rates then generally remained elevated, concluding at 11.0 in 2025-09. This upward trajectory over the year suggests a growing concern for residents regarding local safety conditions.

Time Patterns of Crime in Nelson (Pendle)

Crime in Nelson (Pendle) exhibits distinct temporal patterns throughout the day. The morning hours (6am-12pm) show a notable prevalence of theft, accounting for 44% of crimes, alongside burglary at 10%. During the afternoon (12pm-6pm), theft remains the highest category at 48%, with burglary also significant at 18%. As evening approaches (6pm-12am), 'Other' crimes become dominant at 51%, while theft decreases to 19%. Night-time (12am-6am) sees vehicle crime rise to 37% and burglary at 20%, indicating a shift towards offences targeting unattended properties and vehicles.

Crime in Nearby Areas

To provide regional context, Nelson (Pendle) can be compared with nearby areas such as Brierfield, Barrowford, Colne, and Fence. With an overall crime rate of 126.1 per 1,000 residents, Nelson (Pendle) is higher than the national average. Examining these neighbouring localities can offer valuable insights into regional crime patterns and help residents understand how local safety compares within the wider Pendle district.

Protecting Your Home in Nelson (Pendle)

With a property crime rate of 31.8 per 1,000 residents in Nelson (Pendle), effective home security is a key consideration. While many traditional security cameras simply record incidents, solutions like scOS offer proactive protection, designed to prevent crime before it escalates.

Consider how AI-powered detection can identify threats at your property's perimeter, rather than just documenting a break-in. This proactive stance is critical, as most burglars make a decision within 60 seconds of approaching a property. A professional-grade system with visible deterrents can make your property a less appealing target, encouraging potential intruders to move on. If you're seeking to truly prevent crime, rather than just record it, explore systems that use multi-camera intelligence, DVLA vehicle verification, and pattern learning to provide real-time intervention and enhanced security.