Monthly Crime Statistics

Ushaw Moor and Bearpark Crime Rate May 2023 | Monthly Statistics

In May 2023, Ushaw Moor and Bearpark recorded a crime rate of 7.7 per 1,000, 3.7% below the UK average. Shoplifting incidents rose by 200% compared to the previous month.

48
Total Crimes
7.7
Per 1,000 People
8
UK Average
+22.9%
vs Previous Month

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The crime profile in Ushaw Moor and Bearpark during May 2023 revealed a mix of trends that reflect both seasonal influences and localized challenges. The area’s overall crime rate stood at 7.7 per 1,000 residents, placing it 3.7% below the UK average of 8.0 per 1,000. This relatively low rate is consistent with the characteristics of a built-up area in County Durham, where the density of population and infrastructure may contribute to more targeted, rather than widespread, criminal activity. However, the breakdown of crimes highlights significant disparities in the types of offences reported. Violence and sexual offences dominated the monthly tally, accounting for 50% of all incidents, far exceeding their share in the UK average. This emphasis on violent crime is likely tied to the area’s social dynamics, including the influence of local amenities and the timing of May’s extended evenings, which may encourage more outdoor interactions and, consequently, higher exposure to incidents. Shoplifting and public order offences also stood out, with both categories significantly above their UK counterparts. These findings suggest that retail and public spaces are particularly vulnerable, due to the area’s proximity to transport hubs or the presence of transient populations during the spring season. In contrast, anti-social behaviour and certain property crimes, such as vehicle crime and other theft, were reported at levels well below the UK average, indicating that some aspects of local crime prevention may be effective. The seasonal context of May—marked by bank holidays and longer daylight hours—likely played a role in shaping these patterns, as increased socialising and outdoor activity can both deter and, paradoxically, facilitate certain types of crime. While the overall rate remains below the national average, the sharp rise in shoplifting and the persistent overrepresentation of violent crime underscore the need for targeted strategies to address these specific areas of concern.

May 2023 saw a dramatic 200% increase in shoplifting, with incidents rising from 2 to 6. This surge, coupled with a 100% rise in drugs-related crimes and other theft, indicates a shift in criminal activity patterns. The area's violent crime rate—24 incidents—surpassed the UK average by 40%, a stark contrast to its performance in property crimes, where shoplifting and public order offences were 104% and 52% above national averages, respectively. Anti-social behaviour, however, remained 55% below the UK average, suggesting that community-focused interventions may be having a localized effect. For residents, the sharp rise in shoplifting underscores the need for heightened vigilance in retail areas, particularly during May’s longer evenings and bank holidays, when outdoor socialising increases. These trends highlight a combination of seasonal factors and local crime dynamics.

Ushaw Moor and Bearpark's crime rate in May 2023 rose by 22.9% compared to April, marking a notable upward shift. This increase brings the monthly rate to 7.7 per 1,000 residents, slightly below the UK average of 8.0 per 1,000. On a daily basis, the area experienced approximately two crimes per day in May, a figure that, while modest, reflects the concentrated nature of incidents in a built-up area. Over the course of the month, one reported crime occurred for roughly every 129 residents, highlighting the frequency of incidents relative to the population of 6,214. This monthly exposure rate suggests that while the area remains relatively safer than the UK average, the recent increase in violent and property crimes may warrant closer attention from local authorities and residents. The population-scaled perspective also reveals that the rise in specific categories—such as shoplifting and violence—could affect certain parts of the community, particularly those in proximity to local amenities or public spaces.

Crime Breakdown - May 2023

Crime TypeCountPer 1,000% of Total
Violence and sexual offences243.950%
Shoplifting6112.5%
Public order6112.5%
Anti-social behaviour40.68.3%
Criminal damage and arson40.68.3%
Drugs10.22.1%
Other theft10.22.1%
Vehicle crime10.22.1%
Robbery10.22.1%

Understanding Our Data

How we source and verify crime information for Ushaw Moor and Bearpark

4,683+
Areas Covered
8.2M+
Crime Records
100%
Official Sources

Understanding the Calculations

The crime rate represents the number of recorded incidents per thousand residents in Ushaw Moor and Bearpark. This approach ensures fair comparison regardless of area population size.

Our Information

All statistics come from official government sources: Police.uk provides recorded crime data while the Office for National Statistics supplies population figures. We aggregate data at multiple geographic levels for context.

Formula Used

Crimes per 1k residents = (Total incidents ÷ Population) × 1,000

Our statistics derive entirely from UK government databases:

  • Police.ukCrime records from territorial police forces across England and Wales (43 total)
  • Office for National StatisticsPopulation statistics and the Crime Survey for England and Wales
  • Home OfficeNationwide crime data and official policy records
  • FOI RequestsAdditional statistics obtained via formal requests to police services
Our system covers 4,683+ areas across England and Wales, including major urban centers, towns, and administrative regions. We refresh statistics immediately when official sources publish updates (generally monthly) and maintain archives for historical analysis.

Contains public sector information licensed under the Open Government Licence v3.0

scOS is not affiliated with or endorsed by these organisations.

Page updated: 26 April 2026

New data is released by Police.uk approximately once a month