Rusthall and Langton Green Crime Rate December 2025 | Monthly Statistics

In December 2025, Rusthall and Langton Green maintained a crime rate of 3.3 per 1,000 residents—52.9% below the UK average of 7.0 per 1,000. This figure translates to a per-capita risk where residents face a 1-in-307 chance of experiencing a reported crime over the course of the month, a rate significantly lower than the national context. The area’s crime profile is dominated by violence and sexual offences, which account for 38.5% of all incidents. This category’s rate of 1.3 per 1,000, 49% below the UK average, suggests that local initiatives or community dynamics may be mitigating violent crime despite the holiday season’s usual pressures. The seasonal context of December, with its associated reduction in foot traffic and increased police visibility, may have contributed to the overall decline in crime compared to the previous month. However, the sharp rise in public order offences—up 400% from November—raises questions about the interplay between festive activities and local enforcement priorities. This spike, which saw incidents increase from one to five, contrasts with the substantial decreases in anti-social behaviour (75%) and possession of weapons (66.7%), highlighting the complexity of seasonal crime patterns. The relatively low rate of vehicle crime, which fell by 50% compared to November, may be linked to reduced traffic during holiday closures, a factor that is common in many built-up areas during the winter months. The area’s performance in drugs offences—48% above the UK average—points to a specific challenge that requires further analysis, particularly given the broader context of declining crime rates. Overall, the data illustrates a mixed picture, with some categories showing marked improvement while others, such as public order, reveal vulnerabilities that could be addressed through targeted interventions.

December 2025 saw a dramatic 400% increase in public order offences, rising from one to five incidents—a spike that contrasts sharply with the 75% decline in anti-social behaviour and the 66.7% drop in possession of weapons. This shift in crime mix may reflect seasonal pressures, such as increased social gatherings during the holiday period. While violence and sexual offences remained the most common category (38.5% of total crimes), their rate of 1.3 per 1,000 was 49% below the UK average, suggesting local factors like community cohesion or policing strategies may be effective. Meanwhile, vehicle crime fell by 50% compared to November, linked to reduced traffic during holiday closures. The UK comparison for drugs offences—48% above the national average—adds nuance to the area’s profile, indicating a need for targeted interventions in this category. For residents, the 75% decrease in anti-social behaviour offers a tangible reassurance of improved safety in public spaces, particularly during the festive season when foot traffic is typically high.

Rusthall and Langton Green’s December 2025 crime rate of 3.3 per 1,000 residents reflects a 42.2% reduction from November’s 5.6 per 1,000, underscoring a consistent trend of declining crime over recent months. This rate translates to one reported crime per day on average, a frequency that, when scaled to the area’s population of 7,973, equates to a monthly exposure rate of one crime for every 307 residents. This figure highlights the area’s safety profile, with residents facing a significantly lower risk compared to the UK average of 7.0 per 1,000. The reduction in crime may be partly explained by seasonal factors, such as the closure of retail and leisure venues during the Christmas period, which typically reduces opportunities for certain types of crime. Additionally, the relatively low population density of the built-up area, which is part of the larger Tunbridge Wells district, may contribute to lower crime rates by limiting the concentration of potential victims and offenders. The daily crime count, while low, remains a tangible metric for residents, offering a concrete understanding of how often incidents occur within their local context. This perspective is crucial for residents assessing their personal risk and for local authorities evaluating the effectiveness of crime prevention measures.