Chelmsford Crime Rate November 2024 | Monthly Statistics

In November 2024, Chelmsford’s crime rate stood at 8.2 per 1,000 residents, placing it 7.9% above the UK average of 7.6. This translates to one reported crime for every 123 residents over the course of the month, a figure that contextualises the risk in everyday terms. The most prevalent crime type was violence and sexual offences, accounting for 37.1% of all reported incidents, followed by shoplifting (13.0%) and anti-social behaviour (7.7%). These patterns align with Chelmsford’s character as a built-up area with a mix of urban centres and residential zones, where high foot traffic in retail and leisure areas likely contributes to shoplifting and public order incidents. The seasonal context of November—marked by darker evenings, Black Friday shopping, and Bonfire Night—may have influenced the crime profile, with increased pressure on retail security and heightened visibility of anti-social behaviour during colder nights. While violence and sexual offences remain the largest category, the rate of 3.0 per 1,000 (16% above the UK average) suggests a localised challenge in addressing interpersonal crime. Conversely, anti-social behaviour and criminal damage fell below the UK average, potentially reflecting effective community engagement or policing strategies in these areas. The balance between property and violent crime remains skewed, with 44% of incidents falling into the property category, a figure that underscores the need for targeted interventions in retail and public spaces.

November 2024 saw notable shifts in crime trends, with theft from the person increasing by 162.5% (from 8 to 21 incidents) and robbery rising by 125% (from 4 to 9). These jumps, though small in absolute terms, may signal heightened opportunism during the festive shopping period or increased vulnerability in public spaces due to darker evenings. Conversely, public order offences fell by 32.1% (from 84 to 57), possibly reflecting reduced street activity or improved policing during the month. Shoplifting, at 1.1 per 1,000 residents, remained 59% above the UK average, a figure that highlights the ongoing challenge for retailers in Chelmsford. The property crime category as a whole (377 incidents) accounted for 40.7% of all reported crimes, a proportion that contrasts with the 35% national average, suggesting a localised concentration of property-related incidents. Meanwhile, anti-social behaviour (0.6 per 1,000) was 46% below the UK average, a statistic that may reflect effective community policing or a lower prevalence of such incidents in Chelmsford’s built-up area. Residents may find the daily crime count of 31 incidents useful for understanding the scale of activity, though this figure includes all crime types and should be interpreted in context.

Chelmsford’s crime rate remained stable at 8.2 per 1,000 residents in November 2024, matching the previous month’s rate exactly. This consistency suggests that broader policing strategies or community initiatives may have mitigated any seasonal fluctuations typically seen in November. On a daily basis, the area experienced an average of 31 crimes per day, a figure that, while not directly comparable to national data, provides a tangible sense of the volume of incidents. Over the course of the month, the population-scaled perspective reveals that each resident faced a 1-in-123 chance of being involved in a reported crime, a ratio that contextualises the risk within everyday life. This rate. above the UK average, is not drastically different from national levels and may reflect Chelmsford’s urban density and commercial activity. The comparison to the UK average also highlights specific disparities: for instance, shoplifting in Chelmsford was 59% above the national rate, a figure that underscores the need for targeted retail security measures. Conversely, anti-social behaviour was 46% below the UK average, a statistic that may indicate effective local interventions or demographic differences in public behaviour. These comparisons, while informative, must be interpreted alongside the area’s unique characteristics, such as its proximity to major transport routes and the presence of retail hubs that naturally influence crime patterns.