Aylesbury Crime Rate November 2025 | Monthly Statistics

For a population of 89,275 residents, Aylesbury recorded 652 crimes in November 2025, translating to a crime rate of 7.3 per 1,000 individuals. This rate matches the UK average exactly, though the composition of crimes differs significantly. Violence and sexual offences accounted for 41% of all incidents, followed by shoplifting (12.3%) and other theft (8.9%). These figures align with the town’s character as a mixed-use built-up area with a strong retail presence, particularly around its high streets and commercial hubs. The elevated rate of violence and sexual offences—17% above the UK average—suggests a need for focused policing in areas with higher concentrations of nightlife activity or public spaces where incidents are more likely to occur. Shoplifting, which is 43% above the UK average, is likely driven by the town’s proximity to major shopping centres and the timing of Black Friday, which often correlates with spikes in retail-related crime. Meanwhile, the decline in burglary and theft from the person may reflect seasonal factors, such as reduced outdoor activity during colder months, or the impact of local initiatives aimed at deterring property crime. The breakdown of crimes also reveals a stark contrast in anti-social behaviour, which is 43% below the UK average, potentially indicating successful community engagement or targeted enforcement efforts. These patterns underscore the importance of contextual analysis when interpreting crime statistics, as local geography, economic activity, and social dynamics play a significant role in shaping crime trends. The alignment with the UK average overall, despite variations in specific categories, highlights the complexity of crime profiling in a town that balances urban density with suburban characteristics.

November 2025 saw notable fluctuations in specific crime categories. Other crime increased by 85.7%, rising from 14 to 26 incidents, a shift that may reflect heightened local activity around Black Friday shopping. Robbery rates also climbed by 66.7%, with incidents rising from 6 to 10, potentially linked to increased foot traffic in retail areas. Conversely, burglary and theft from the person both declined, with burglary dropping by 50% (from 14 to 7) and theft from the person falling by 33.3% (from 6 to 4). These decreases may indicate the effectiveness of recent community initiatives or seasonal factors reducing opportunities for such crimes. Violent crimes, however, remained above the UK average, with a rate of 3.0 per 1,000 compared to the national average of 2.6 per 1,000. This divergence highlights the need for targeted interventions in areas where violent incidents are concentrated. Anti-social behaviour, which fell by 43% compared to the UK average, may be linked to increased police visibility during the month or community-led efforts to address public order issues. The contrast between rising shoplifting rates (43% above the UK average) and falling burglary rates (67% below the UK average) suggests shifting criminal priorities, influenced by the timing of major retail events and the town’s layout.

Aylesbury's crime rate in November 2025 rose by 14.1% compared to the previous month, climbing from 6.4 to 7.3 per 1,000 residents. This increase, though modest in absolute terms, reflects shifts in crime patterns across the built-up area. On a daily basis, the town recorded an average of 22 crimes per day, a figure that contextualises the pace of incidents for local residents. Over the course of the month, one reported crime occurred for every 137 residents, a monthly exposure rate that highlights the frequency of incidents relative to the population. This rate is consistent with the area’s historical trends, though the recent uptick in violent crimes and shoplifting suggests a need to monitor emerging patterns. The population context further underscores that Aylesbury’s crime profile, while aligned with the UK average overall, has distinct local characteristics shaped by seasonal activity and local demographics. The built-up area’s retail density and proximity to major transport hubs likely contribute to patterns such as shoplifting and public order offences, which remain elevated compared to national averages. These factors, combined with the timing of November’s Black Friday and Bonfire Night, may have amplified certain crime types while reducing others, such as burglary, which fell by 50% month-on-month.