Cotswold Crime Rate March 2025 | Monthly Statistics

In Cotswold, the crime rate for March 2025 was 5.0 per 1,000 residents, placing it 35.9% below the UK average of 7.8 per 1,000. This translates to a monthly exposure of one reported crime for every 200 residents, a figure that may seem abstract but reflects a tangible level of risk for local communities. The most prevalent crime type was violence and sexual offences, accounting for 35.3% of all reported crimes (162 incidents), followed by anti-social behaviour (24.2%, 111 incidents). These patterns align with Cotswold's character as a largely rural district with a mix of historic villages and commuter suburbs, where interpersonal disputes and public order issues may arise more frequently in smaller, close-knit communities. Seasonal context suggests that the transition to spring, with longer evenings and the clocks changing, likely influenced crime dynamics. While violent crime remains a concern, the rate of 1.8 per 1,000 for violence and sexual offences is 34% below the UK average, indicating a lower incidence of such crimes compared to other areas. This could be attributed to Cotswold's lower population density, strong community policing presence, or the influence of local initiatives that have not been explicitly documented. The overall crime profile suggests a balance between proactive community engagement and the challenges of managing social tensions in a region that attracts both long-term residents and seasonal visitors.

March 2025 saw notable shifts in Cotswold's crime profile, with robbery and possession of weapons both increasing by 200% compared to February, rising from 1 to 3 incidents each. This surge, though small in absolute terms, may reflect heightened awareness or reporting during the transition to spring, when community events and outdoor activities increase. Conversely, burglary rates fell by 36.7% (from 30 to 19 incidents), a decline consistent with seasonal trends that typically see fewer break-ins as households return from holiday stays and outdoor spaces become less accessible. The breakdown of crime types reveals a stark contrast to the UK average: shoplifting in Cotswold is 71% below the national rate (0.2 vs 0.7 per 1,000), a figure that may be partly explained by the district's limited retail presence outside of major towns. Meanwhile, public order offences rose by 85.7% (from 14 to 26 incidents), a shift that could be linked to the elongation of evenings and the start of the spring social calendar, which may contribute to increased alcohol-related incidents. These fluctuations underscore the importance of considering local rhythms when interpreting crime data, as Cotswold's relatively low population density and seasonal variations create a distinct environment compared to more urban areas.

Cotswold's crime rate in March 2025 rose by 26.5% compared to February's 4.0 per 1,000, reflecting a 15-crime-per-day average across the 31-day month. While this increase is statistically significant, it remains well below the UK average, with Cotswold's overall rate still 35.9% lower than the national figure. For residents, this translates to a daily risk of encountering one crime for every 6.4 residents (based on the 15-crime-per-day figure), though this metric should be interpreted with caution as it aggregates all crime types. On a monthly scale, the 1-in-200 resident figure highlights that while crime is not uncommon, it is relatively rare compared to larger urban centres. Cotswold's population of 91,661 means that the 459 reported crimes in March represent a manageable proportion of the community, though the spike in robbery and weapons possession suggests localized pressures that may require targeted attention. The district's lower population density, which likely reduces opportunities for certain crimes, contrasts with the higher rates of anti-social behaviour and public order offences, which may be more prevalent in smaller communities where social interactions are more concentrated. These comparisons illustrate the combination of geography, demographics, and crime patterns, emphasizing the need for context-specific analysis rather than broad generalizations.