Beddau Crime Rate January 2024 | Monthly Statistics

The January 2024 crime profile in Beddau reveals a stark imbalance between violent and property-related incidents, with the former overwhelming the latter. At 8.7 per 1,000 residents, the area’s crime rate was 17.6% above the UK average, driven by a 59.7% share of violent and sexual offences—double the proportion of property crimes. This dominance of interpersonal violence over theft or burglary may be influenced by a combination of seasonal factors and local conditions. January, as a post-holiday period, typically sees reduced retail footfall and shorter daylight hours, which could contribute to a shift in criminal activity toward indoor or socially driven incidents. The data also highlights that public order offences, though a smaller share of total crimes, were 192% above the UK average, suggesting localized pressures in public spaces. In contrast, anti-social behaviour fell below the UK rate by 19%, indicating potential improvements in community engagement or policing efforts. The absence of significant increases in property crimes, such as burglary or vehicle theft, further underscores the focus on interpersonal violence. This pattern may be consistent with Beddau’s character as a built-up area with a mix of residential and commercial zones, where social interactions and public gatherings are more frequent. While the overall rate is elevated, the concentration of incidents among a subset of the population suggests that targeted strategies—such as enhanced community policing in high-risk areas or initiatives to address underlying social tensions—could be critical to addressing this trend. The seasonal context of January, with its colder temperatures and reduced outdoor activity, may also play a role in shaping crime patterns, though further analysis would be needed to confirm this hypothesis.

Violent and sexual offences in Beddau surged by 185.7% in January 2024, jumping from 14 to 40 incidents—a stark contrast to the UK average of 2.6 per 1,000, which Beddau exceeded by 100%. Public order offences also spiked dramatically, reaching 11 cases (16.4% of total crimes), 192% above the UK average of 0.5 per 1,000. This imbalance between interpersonal crime and property-related incidents is further underscored by the fact that anti-social behaviour fell 19% below the UK rate, with only six incidents recorded. Theft from the person and bicycle theft both saw 100% increases, moving from zero to one incident each, though these remain below the UK averages for their respective categories. The sharp rise in violent crime, coupled with the absence of significant decreases in property crime, suggests a shift in criminal activity toward high-impact, interpersonal offences. For residents, this trend highlights the need for targeted interventions in areas with high foot traffic or social interactions, where such crimes are more likely to occur.

Beddau’s crime rate in January 2024 climbed to 8.7 per 1,000 residents, a 91.2% increase from the previous month’s rate of 4.6 per 1,000. This surge underscores a marked shift in local crime dynamics, with daily crime activity averaging two incidents per day over the 31-day period. Translating this to a monthly exposure metric, one reported crime occurred for every 115 residents, a figure that reflects the density of incidents relative to the area’s population of 7,697. While the overall rate exceeds the UK average by 17.6%, the population-scaled perspective reveals that the burden of crime is concentrated among a relatively small proportion of the community. This localized intensity suggests that specific micro-environments—such as high-traffic public spaces or areas with transient populations—may be affected. The contrast between Beddau’s rate and the UK average also highlights regional disparities, with the area’s crime profile diverging significantly from national trends. These patterns may be influenced by factors such as seasonal transitions, local socioeconomic conditions, or the area’s built environment, though can be established from the data alone.