Highworth Crime Rate November 2025 | Monthly Statistics

For a population of 8,432, Highworth recorded 29 crimes in November 2025, translating to 3.4 crimes per 1,000 residents. This figure is 53.4% below the UK average of 7.3 per 1,000, highlighting a safer environment compared to national trends. The most common crimes were violence and sexual offences (12 incidents, 41.4% of total), followed by anti-social behaviour (5 cases, 17.2%) and vehicle crime (3, 10.3%). This distribution suggests a mix of personal safety concerns and community-level disruptions, though the overall rate remains significantly lower than the UK norm. Seasonal factors in November—such as darker evenings, Bonfire Night, and Black Friday shopping—may partly explain the patterns observed. The relatively low levels of property crime (10 total) compared to violent crime (12) could reflect the area’s character as a built-up part of Swindon, where retail and community hubs may drive different crime dynamics. However, the absence of major spikes in theft from the person or vehicle crime compared to the UK average suggests that local factors, such as community policing or demographic composition, may contribute to this lower rate. The sharp decline in shoplifting (66.7% month-on-month) coincides with the end of the Black Friday shopping period, though the overall retail crime picture remains modest. This context provides a baseline for understanding how local conditions interact with national trends, offering insights into what makes Highworth’s crime profile distinct.

November 2025 saw significant month-on-month shifts in crime patterns, with vehicle crime surging by 200% (from 1 to 3 incidents) and burglary and other theft each doubling (from 1 to 2 cases). This increase in property-related crimes may reflect seasonal factors such as colder weather prompting more indoor activity or changes in vehicle usage. Conversely, shoplifting fell sharply by 66.7% (from 3 to 1), likely linked to the winding down of Black Friday promotions. Anti-social behaviour and criminal damage also dropped, with the latter falling 66.7% (from 6 to 2 incidents), possibly due to reduced public gatherings as the month progressed. Highworth’s violent crime rate—1.4 per 1,000 for violence and sexual offences—remains 46% below the UK average of 2.6 per 1,000, a gap that suggests local factors such as community cohesion or policing effectiveness may be playing a role. For residents, the daily crime count of roughly one incident per day (29 crimes over 30 days) provides a tangible sense of the area’s low crime environment, though the spikes in vehicle crime and burglary highlight the need for continued vigilance in specific areas.

Highworth’s November 2025 crime rate of 3.4 per 1,000 residents represents a 17.1% decrease from the previous month’s rate of 4.2, indicating a downward trend. When scaled to daily figures, this equates to approximately one crime reported per day—a rate that, while modest, underscores the importance of consistent monitoring. Over the course of the month, one reported crime occurred for roughly every 291 residents, a statistic that provides context for the likelihood of being directly affected by crime in this built-up area. This monthly exposure rate is particularly meaningful when compared to the UK average, as Highworth’s overall rate remains 53.4% below the national figure. The population-scaled perspective also reveals that, for every 1,000 residents, Highworth experiences fewer violent and property crimes than the UK average, a disparity that may reflect local characteristics such as lower population density, effective community policing, or demographic factors like a smaller proportion of transient populations. While the rate of vehicle crime and burglary has risen, these increases remain within a context of overall low crime, suggesting that the area’s broader safety profile remains intact. This comparison helps residents understand their risk relative to both national trends and local historical data, offering a nuanced view of Highworth’s crime profile.