Beeston (Broxtowe) Crime Rate November 2023 | Monthly Statistics

In November 2023, Beeston (Broxtowe) experienced a crime rate of 6.9 per 1,000 residents, placing it 8% below the UK average of 7.5. This rate translates to a per-capita risk that, while moderate, reflects the combination of local dynamics and seasonal influences. The most prevalent crime type was violence and sexual offences, accounting for 29.3% of all incidents, followed by anti-social behaviour (19.1%) and shoplifting (10.3%). These figures suggest a mix of community tensions, public spaces, and commercial activity that shape the area’s crime profile. The seasonal context of November—marked by Bonfire Night, Black Friday shopping, and shorter evenings—may have influenced patterns: for instance, the 20% drop in shoplifting could be attributed to early holiday spending or increased police patrols. However, the rise in bicycle theft (150% above the UK average) points to a unique vulnerability, tied to the area’s cycling infrastructure or parking practices. Beeston’s crime picture contrasts with the UK average in several ways: while violent crime remains a concern, property-related offences like burglary and vehicle crime are lower than the national average. This divergence may stem from the area’s character as a built-up district within Broxtowe, where residential density and community engagement could mitigate certain types of crime. The overall rate, though slightly below the UK average, underscores the need for targeted interventions in high-risk categories, such as bicycle theft and 'other crime,' which saw a 350% surge. Local authorities and residents must balance awareness of these trends with the broader context of a safer-than-average environment, ensuring that efforts to address specific issues do not overshadow the area’s relative success in crime prevention.

November 2023 saw significant fluctuations in crime types, with 'other crime' surging by 350% (from 2 to 9 incidents), and robbery tripling (from 2 to 6). These spikes, though small in absolute numbers, indicate emerging patterns that may warrant closer attention. Conversely, shoplifting decreased by 20% (from 45 to 36), potentially linked to the timing of Black Friday sales, which could have shifted consumer behavior or police focus. The breakdown reveals stark contrasts with the UK average: bicycle theft in Beeston was 150% higher than the UK rate, a figure that could reflect the area’s cycling infrastructure or parking practices. Anti-social behaviour, however, fell 17.3% (from 81 to 67), suggesting possible success from local initiatives or seasonal changes in public activity. For residents, the most immediate concern is the sharp rise in 'other crime,' a category that may encompass unclassified offences or new types of criminal activity not typically tracked in broader statistics. This highlights the need for community awareness and targeted policing in areas where such offences are concentrated.

In November 2023, Beeston (Broxtowe) recorded a crime rate of 6.9 per 1,000 residents, a 3.2% increase from the previous month’s rate of 6.6. This translates to approximately 12 crimes reported daily, a figure that highlights the ongoing presence of criminal activity in the area. Over the course of the month, one reported crime occurred for roughly every 146 residents, a monthly exposure that places the area in a moderate range compared to other built-up areas. The population of 51,231 means that each resident faces a calculated risk of encountering crime, though the overall rate remains 8% below the UK average. This contrast with the UK average suggests that local factors—such as community engagement, policing strategies, or socioeconomic conditions—may be contributing to a slightly safer environment. However, the month-on-month rise underscores the need for continued vigilance, particularly in areas where specific crime types have surged. The daily crime count, while locally significant, does not account for variations in reporting habits or population density, making direct UK comparisons speculative without additional data.