The crime profile in Garforth during February 2026 reveals a distinct balance between violent and property crimes, with violence and sexual offences accounting for 33% of reported incidents — the highest share among all categories — followed by anti-social behaviour (17.1%) and burglary (12.5%). This mix contrasts with the UK average, where property crimes typically hold a larger share, suggesting a more pronounced focus on interpersonal conflicts and public disorder in Garforth. The built-up character of the area, as a part of Leeds, may contribute to the higher incidence of property-related crimes such as burglary and anti-social behaviour, which are often more prevalent in densely populated areas. However, the overall rate of 5.6 per 1,000 residents remains 12.5% below the UK average of 6.4, indicating that Garforth is relatively safer than other areas in the country. The seasonal context of February, a winter month with low outdoor activity, may have influenced the types of crimes reported. For instance, the surge in anti-social behaviour could be linked to increased indoor gatherings, while the decline in vehicle crime might reflect reduced outdoor activity. The presence of high-frequency violent crimes, despite being 18% below the UK average, suggests that local factors — such as the proximity to commercial or educational hubs — may play a role in sustaining these levels. The data also highlights the importance of addressing anti-social behaviour, which saw a 275% month-on-month increase, as this category alone accounted for 17.1% of all reported crimes. This spike, combined with the relatively low rate of shoplifting and other theft-related crimes, points to a unique pattern of criminal activity that may be influenced by the area’s social dynamics and environmental factors. The low overall crime rate, when considered alongside the high population density of Garforth, underscores the effectiveness of local policing strategies or community initiatives in maintaining public safety, even in the face of seasonal fluctuations.