St Albans Crime Rate July 2025 | Monthly Statistics

The crime profile in St Albans during July 2025 reveals a distinct balance between violent and property crimes, with violence and sexual offences comprising 30.5% of all reported incidents. This proportion is higher than the UK average for this category, which stands at 21% of total crimes. The local rate of 7.9 crimes per 1,000 residents places St Albans 8.1% below the UK average of 8.6 per 1,000, suggesting a relatively safer environment compared to the national picture. The dominance of violent crime in this month may be influenced by seasonal factors, as July marks the peak of summer when public spaces see increased usage due to school holidays and tourism activity. Anti-social behaviour, the second most common category at 20.8% of all crimes, could reflect heightened social interactions in public areas during this period. Other theft (10.3%) and shoplifting (9.5%) also feature prominently, indicating vulnerabilities in retail environments and personal belongings. The local context of St Albans as a historic town with a mix of urban and suburban areas may contribute to these patterns, with commercial districts and open spaces attracting both residents and visitors. However, the lower-than-average rates for public order offences (53% below UK average) and drug-related crimes (29% below) suggest effective community policing or environmental factors that deter certain types of crime. This mix of crime types illustrates an area where personal safety and community engagement play significant roles in shaping the local crime profile.

July 2025 saw a 41% increase in vehicle crime compared to June, rising from 61 to 86 incidents. This surge may be linked to the summer season, when more vehicles are on the road for tourism and leisure travel. Bicycle theft also rose sharply by 53.8%, jumping from 13 to 20 cases, possibly reflecting increased cycling activity during warmer weather. A 60% increase in possession of weapons offences (from 5 to 8) highlights a specific concern. St Albans' violence and sexual offences rate of 2.4 per 1,000 is 21% below the UK average of 3.0 per 1,000, which could indicate effective community initiatives or a lower prevalence of high-risk environments compared to other areas. Conversely, other theft (0.8 per 1,000) is 45% above the UK average of 0.6 per 1,000, suggesting particular vulnerabilities in local retail or personal security. The significant disparity between St Albans' public order offences (0.3 per 1,000) and the UK average of 0.6 per 1,000 may reflect the town's character as a relatively tranquil environment with fewer disturbances than larger urban centres. These findings provide a nuanced view of how seasonal changes and local demographics interact with crime patterns.

The crime rate in St Albans for July 2025 (7.9 per 1,000) represents a 12.0% increase compared to the previous month's rate of 7.0 per 1,000, indicating a slight upward trend in overall criminal activity. On a daily basis, the area experienced approximately 38 crimes per day in July, a figure that, while modest, underscores the need for continuous vigilance. When scaled to the local population of 151,012 residents, this equates to one reported crime for roughly every 127 residents over the course of the month—a monthly exposure rate that is lower than many urban areas but comparable to other commuter towns. The population context is particularly relevant here, as St Albans' mix of residential, commercial, and historic sites creates a unique environment where crime prevention strategies must balance the needs of a diverse community. While the overall rate is below the UK average, the month-on-month rise suggests that local factors—such as increased foot traffic during festivals or the timing of events—may temporarily elevate crime levels. This comparative perspective highlights the importance of monitoring trends rather than focusing solely on absolute numbers, as the interplay between seasonal activity and local infrastructure shapes the crime picture in ways that may not be immediately apparent from raw statistics alone.