Lydney's crime profile in November 2025 reveals a combination of local conditions and broader national trends. The area recorded 65 crimes, yielding a crime rate of 6.7 per 1,000 residents—8.2% below the UK average of 7.3 per 1,000. This figure, though lower than the national benchmark, masks a sharp rise in specific categories. Violence and sexual offences dominate the crime profile, accounting for 47.7% of all incidents and 25% above the UK average. This elevated level of violent crime may reflect the area's character as a small built-up community within the Forest of Dean, where social interactions are concentrated in limited public spaces. Anti-social behaviour, the second most common category, contributes 20.0% of incidents and is 23% above the UK average, potentially linked to the seasonal context of November, with its shorter days and Bonfire Night events. The crime mix shows a marked imbalance: 47.7% of cases are violent, compared to 20.0% for anti-social behaviour and 7.7% for criminal damage. This skew towards violent crime contrasts with the national trend, where property-related offences typically dominate. Seasonal factors appear to play a role, with the dark evenings of November likely amplifying incidents of violence and disorder. The absence of significant property crime—shoplifting, vehicle crime, and other theft categories all fall well below the UK average—suggests that Lydney's built-up area may have fewer retail or commercial hubs compared to larger urban centres. This could explain the 84% deficit in shoplifting cases relative to the UK, though the small number of incidents (just 1 in November) limits the reliability of this observation. The data also highlights a potential anomaly in the rise of robbery cases, which doubled from 0 to 4 in November. While this may be an isolated fluctuation, it warrants further monitoring, particularly given the absence of prior robbery reports in the area. Overall, Lydney's crime picture in November 2025 illustrates the challenges of managing crime in a rural built-up area, where limited resources and changing seasonal dynamics can influence local patterns.