Clayton-le-Moors Crime Rate February 2025 | Monthly Statistics

For a community of nearly 10,000 people, 66 crimes in February 2025 equate to a rate of 6.7 per 1,000 residents—a figure that precisely matches the UK average. This volume, while statistically aligned with national benchmarks, reveals a combination of local factors that shape crime patterns in Clayton-le-Moors. The top three crime types—violence and sexual offences (23 incidents, 34.9% of total), anti-social behaviour (16 incidents, 24.2%), and other crime (5 incidents, 7.6%)—illustrate an area where interpersonal conflict and ambiguous legal categories dominate the crime profile. Violence and sexual offences, at 2.3 per 1,000, were 2% below the UK average for this category, suggesting a lower incidence of serious violence compared to the national picture. Anti-social behaviour, however, stood at 1.6 per 1,000—65% above the UK average—highlighting a localised concentration of low-level disorder that may be influenced by the built-up nature of the area and its proximity to Hyndburn’s urban core. Other crime, at 0.5 per 1,000, was 212% above the UK average, indicating a significant overrepresentation of incidents that fall into less defined legal classifications. This mix of crime types reflects a community where social dynamics, land use, and policing priorities interact to produce a distinct profile. The seasonal context of February—a winter month with low outdoor activity and a pre-spring lull—may have contributed to the relatively high proportion of indoor-related crimes, such as anti-social behaviour and other crime, while reducing opportunities for outdoor crimes like vehicle theft. However, the absence of a clear correlation between weather patterns and specific crime types suggests that other factors, such as local events or community tensions, may have played a role in shaping the month’s statistics.

February 2025 saw stark shifts in specific crime categories, with other theft surging by 400% (from 1 to 5 incidents) and other crime doubling (from 0 to 5). These jumps, while statistically notable, may reflect seasonal or situational factors rather than long-term trends. Conversely, criminal damage and arson fell by 50% (from 6 to 3), and public order offences dropped by 33.3% (from 3 to 2), suggesting a possible reduction in disruptive behaviour during the winter months. The area’s anti-social behaviour rate—1.6 per 1,000—was 65% above the UK average, a discrepancy that could be linked to local social dynamics or reporting practices. Meanwhile, vehicle crime and shoplifting both remained below UK averages, with vehicle crime at 0.3 per 1,000 (19% below the UK’s 0.4) and shoplifting at 0.3 per 1,000 (52% below the UK’s 0.6). These contrasts highlight how different crime types respond to local conditions, though further investigation would be needed to confirm causal links.

Clayton-le-Moors' crime rate in February 2025 rose to 6.7 per 1,000 residents, a 20.0% increase from the previous month's 5.5. This shift, though modest in scale, underscores the fluctuating nature of local crime dynamics. On a daily basis, the area experienced an average of 2 crimes per day over the 28-day period, a figure that illustrates the pace at which incidents occur in a small, densely populated built-up area. When scaled to the population of 9,919, this translates to one reported crime for every 150 residents over the course of the month—a ratio that highlights the visibility of crime in a tightly knit community. This rate aligns precisely with the UK average of 6.7 per 1,000, yet the distribution of crime types reveals distinct local patterns. For instance, the high rate of anti-social behaviour (1.6 per 1,000) compared to the UK average of 1.0 per 1,000 suggests localized factors influencing these trends. The comparison to the previous month highlights the need to monitor emerging patterns, particularly in categories like other theft, which surged by 400% year-on-year. These figures offer a snapshot of how crime interacts with the area’s social fabric, though further analysis would be required to identify underlying causes.