Ushaw Moor and Bearpark Crime Rate September 2025 | Monthly Statistics

Violence and sexual offences accounted for 32.7% of reported crime in Ushaw Moor and Bearpark during September 2025, marking the most significant category by volume. This rate of 8.9 crimes per 1,000 residents places the area 20.3% above the UK average of 7.4 per 1,000, a disparity that aligns with the area’s status as a built-up community with limited rural isolation. The second most common crime category, anti-social behaviour (25.5% share), exceeded the UK average by 97%, suggesting patterns tied to local social dynamics or public spaces. Seasonal factors in September—such as the transition back to school and university freshers’ week—may partly explain the rise in violent incidents, as increased foot traffic and social gatherings in public areas can heighten opportunities for conflict. While property crimes represented 23.6% of total incidents, their contribution was comparatively lower than violent crimes, reflecting a crime profile skewed towards interpersonal disputes and public order issues. The area’s crime rate, though elevated relative to the UK average, remains within a range consistent with other similar-sized built-up areas in County Durham. The seasonal context of September, with its mix of returning students and shorter evenings, likely influences both the frequency and type of crimes reported, as outdoor activity patterns shift. This data underscores the need for targeted interventions in high-risk public spaces and ongoing community engagement to address the underlying drivers of violent and anti-social behaviour.

September 2025 saw a 400% surge in other thefts, rising from 1 to 5 incidents—a stark increase that may reflect heightened opportunities during the post-summer period. Bicycle thefts also doubled, with one reported incident compared to zero in August, potentially linked to the return of university students and increased cycling activity. Conversely, shoplifting fell by 66.7% (from 3 to 1), due to reduced foot traffic as schools and colleges resumed operations. Anti-social behaviour decreased by 30% (20 to 14), though it remained 97% above the UK average, highlighting persistent challenges in managing public conduct. Violence and sexual offences, while declining slightly by 5.3% (19 to 18), still dominated the crime profile, with a rate 12% above the UK average for this category. The sharp rise in other thefts (now 0.8 per 1,000) and the 186% increase in bicycle thefts compared to the UK average suggest specific vulnerabilities in personal property protection. Residents may find the 20.3% gap between local and UK crime rates particularly noteworthy, as it indicates a need for localized strategies to address the area’s unique risk factors.

The crime rate in Ushaw Moor and Bearpark for September 2025 (8.9 per 1,000) represents a 5.7% increase from the previous month’s rate of 8.4 per 1,000, reflecting a growing trend in reported incidents. On a daily basis, the area experienced approximately 2 crimes per day over the 30-day period, a figure that, while modest, underscores the continuous presence of criminal activity in the community. When scaled to the population of 6,214 residents, the monthly exposure translates to one reported crime for every 113 residents, a statistic that highlights the frequency of incidents relative to the local population. This monthly aggregate, though not directly comparable to UK-wide figures, aligns with the broader context of built-up areas in County Durham facing similar challenges. The 20.3% gap between the area’s rate and the UK average suggests that Ushaw Moor and Bearpark’s crime profile is more intense than the national benchmark, particularly in categories like anti-social behaviour and violence. While the daily crime count may seem low to some, the concentration of incidents in specific categories—such as the 97% above UK average for anti-social behaviour—points to localized pressures that require tailored responses. This data reinforces the importance of understanding crime patterns within the area’s specific demographic and geographic context, rather than relying solely on national averages.