Ushaw Moor and Bearpark Crime Rate

Ushaw Moor and Bearpark's crime profile is defined by a sharp 200% surge in bicycle theft, now at 1.0 per 1,000 — 21% above the UK average. While the overall crime rate (112.6 per 1,000) is 23.8% above the UK average, the area's most alarming trend is the rapid rise in anti-social behaviour, which is 86% above the national rate. This combination of sudden spikes and persistent elevation highlights the need for targeted safety strategies.

Ushaw Moor and Bearpark is a built-up area in County Durham, characterized by a mix of residential and commercial properties. Its proximity to commuter routes and a modest population density may contribute to crime patterns. The area's socioeconomic profile, with a blend of older and newer housing stock, likely influences its crime profile, particularly in sectors like anti-social behaviour and property damage.

The most surprising finding in Ushaw Moor and Bearpark's crime data is the 200% year-on-year increase in bicycle theft, which now stands at 1.0 per 1,000 — 21% above the UK average. This sharp rise may be linked to the area's growing cycling infrastructure, which, while beneficial for commuters, could inadvertently create opportunities for theft. Anti-social behaviour, at 27.4 per 1,000 (86% above the UK average), is the most elevated category, likely driven by the area's mix of residential and commercial spaces, which may foster environments where low-level disturbances thrive. Criminal damage and arson (11.4 per 1,000, 73% above UK average) may reflect underlying socioeconomic challenges, such as property maintenance issues or community disengagement. Meanwhile, shoplifting remains a concern, though its 44% YoY decline suggests some success in targeted interventions.

Crime in Ushaw Moor and Bearpark has increased by 10.2% year-on-year, with the most dramatic rise in bicycle theft (+200% YoY). This surge, now at 1.0 per 1,000 — 21% above the UK average, may be linked to the area's growing cycling infrastructure, which inadvertently creates opportunities for theft. Meanwhile, anti-social behaviour has risen 56% YoY, reaching 27.4 per 1,000 — 86% above the UK average, likely reflecting rising social tensions or unmet community needs. The monthly trend reveals a peak in March 2025 (12.2 per 1,000) and a trough in May 2025 (6.1 per 1,000), suggesting seasonal fluctuations, possibly influenced by weather or local events.

How To Keep Safe in Ushaw Moor and Bearpark

Residents should prioritize vigilance during the evening and night, when vehicle crime and other non-violent incidents peak. For anti-social behaviour, which is 86% above the UK average, consider joining local community initiatives that promote engagement and reduce isolation. To address the sharp rise in bicycle theft (+200% YoY), secure bikes with locks and avoid leaving them unattended in high-traffic areas. During the afternoon, when theft is most common, ensure valuables are not left visible in vehicles. Community awareness around the 11.4 per 1,000 rate of criminal damage and arson may also help deter such acts through collective action.

Crime in Ushaw Moor and Bearpark tends to concentrate in the evening and night, with vehicle crime spiking between midnight and 6am — a pattern likely tied to the area's commuter-oriented traffic and limited nighttime surveillance. Theft peaks in the afternoon (12pm-6pm), possibly linked to retail activity, while other crimes dominate late at night, reflecting the higher proportion of non-violent, opportunistic incidents during these hours. The absence of violence and sexual offences during the day may indicate that such crimes are more associated with specific venues or social gatherings that occur later in the evening.

Compared to nearby areas, Ushaw Moor and Bearpark has a 200% higher crime rate than Witton Gilbert (37.6 per 1,000), the region's safest comparator. Langley Park (95.6 per 1,000) is the closest in terms of proximity, with Ushaw Moor and Bearpark's rate 18% higher. Brandon (County Durham) (89.2 per 1,000) is also less safe, with a 26% higher rate. These disparities likely reflect differences in population density, socioeconomic factors, and urban planning.

For residents in Ushaw Moor and Bearpark, where anti-social behaviour is 86% above the UK average, scOS offers proactive boundary monitoring that distinguishes between everyday activity and concerning behaviour. The system's AI-powered detection triggers automated lights and speakers to deter disturbances, providing peace of mind without requiring manual intervention. With 27.4 crimes of anti-social behaviour per 1,000 residents, this feature is particularly relevant. The system also stores two weeks of cloud footage, which can support police investigations. A scOS Architect configures the system remotely, tailoring it to local issues such as the high rate of anti-social behaviour.