County Durham Crime Rate November 2025 | Monthly Statistics

County Durham's November 2025 crime rate of 9.2 per 1,000 residents places it 26% above the UK average, a figure that reflects the district's unique demographic and geographic characteristics. The most prevalent crime type—violence and sexual offences—accounts for 33.7% of all reported crimes, significantly higher than the UK average of 21%. This is consistent with the area's post-industrial legacy and commuter infrastructure, which sees significant daily movements of workers and students, potentially contributing to higher rates of interpersonal crime. The second most common category, anti-social behaviour (15.3% of all crimes), is also 32% above the UK average, a trend that may be influenced by seasonal factors such as the quieter period following Bonfire Night and the reduced number of large-scale events in November. Meanwhile, shoplifting (11.5% of crimes) is 75% above the UK average, a pattern strongly tied to the district's retail hubs and the timing of Black Friday sales, which often see spikes in opportunistic theft. These figures illustrate how the interplay between local economic activity and seasonal events can shape crime profiles. The district's lower-than-average vehicle crime rate (0.3 per 1,000) suggests that parking management systems in key areas may be effective, though this does not fully offset the higher prevalence of other crime types. The post-industrial character of County Durham, with its mix of urban and rural areas, likely contributes to the uneven distribution of crime across the district, with higher concentrations in towns and commuter corridors. The impact of November's darker evenings and colder weather is also evident in the 38.9% drop in theft from the person, which may reflect reduced pedestrian activity during the shorter daylight hours. These patterns highlight the importance of contextualising crime data within the broader socio-economic and environmental framework of the area, rather than treating it as an isolated metric.

November 2025 saw a 32.4% increase in burglary cases, rising from 188 to 249, a shift that may partly reflect colder weather driving more home-based activity. Robbery also climbed by 27.3%, with 28 incidents reported, suggesting a potential link to increased foot traffic during Black Friday sales. Conversely, anti-social behaviour dropped by 31.0%, from 1,105 to 762, possibly due to fewer large-scale events in November compared to other months. The significant 75% gap between County Durham's shoplifting rate (1.1 per 1,000) and the UK average (0.6 per 1,000) highlights the retail sector's role in the district's crime profile. Theft from the person fell by 38.9%, from 18 to 11, an anomaly that may relate to reduced pedestrian activity during darker evenings. These fluctuations demonstrate how seasonal rhythms and local economic activity intersect with crime patterns, even as the overall rate remains above the national average. The rise in criminal damage and arson (1.2 per 1,000) compared to the UK average (0.5 per 1,000) suggests that property-related disputes or vandalism may be more prevalent in areas with older housing stock or industrial heritage. The 67% increase in burglary compared to the UK average (0.3 per 1,000) aligns with the district's post-industrial character, where vacant properties and older infrastructure may present opportunities for opportunistic offenders. Meanwhile, the 126% gap in criminal damage and arson rates compared to the UK average underscores the need for targeted interventions in areas with higher concentrations of disused buildings or community tensions. The 19.8% rise in drug-related crimes, from 86 to 103, may indicate shifts in illicit activity patterns during the holiday season, though the exact drivers remain unclear.

County Durham's November 2025 crime rate of 9.2 per 1,000 residents reflects an 8.7% decrease from the previous month's 10.1 per 1,000. This reduction, though modest, translates to 166 crimes reported daily across the district's 538,011 residents. Over the course of the month, one reported crime occurred for roughly every 108 residents—a figure that contextualises risk as a monthly exposure rather than an immediate threat. The population density and urban-rural mix of County Durham, a post-industrial area with significant commuter traffic, likely shape these patterns. While the daily crime count remains high, the monthly ratio suggests that most residents will not encounter a crime in any given month. The district's proximity to major transport routes and the presence of retail hubs may drive some property crimes, though the drop in anti-social behaviour and public order offences hints at seasonal or event-driven fluctuations, such as the quieter period after Bonfire Night. This contrast between daily urgency and monthly context underscores the importance of distinguishing between immediate and long-term risk perceptions. The area's commuter infrastructure, which sees large movements of workers from surrounding regions, may also influence patterns of vehicle crime and theft from the person, though these remain relatively low compared to other regions. The lower-than-UK-average vehicle crime rate (0.3 per 1,000) suggests that parking management systems in key areas may be effective, even as other crime types show higher prevalence. The daily crime count, while high, does not necessarily reflect the lived experience of most residents, as the monthly exposure metric provides a more balanced view of risk distribution across the population.