Ravenshead Crime Rate December 2024 | Monthly Statistics

Violence and sexual offences dominate Ravenshead's crime profile in December 2024, accounting for 46.2% of all reported incidents. With 6 cases recorded, this category remains 61% below the UK average of 2.6 per 1,000. The overall crime rate of 2.2 per 1,000 for the area is 69% below the national average of 7.1 per 1,000, reflecting a pattern of consistently low crime levels. This is particularly notable given December's seasonal context: extended evenings, Christmas shopping, and holiday-related activity typically correlate with higher crime rates in other areas. Ravenshead's data, however, suggests that local factors—such as effective community engagement, robust policing, or the area's built-up character—may contribute to maintaining safety. The breakdown of crimes shows a balance between property and violent offences, with property crimes (vehicle crime, burglary, anti-social behaviour) making up 54% of the total. This distribution aligns with the characteristics of a built-up area, where vehicle crime and burglary are more prevalent due to the concentration of homes and infrastructure. The UK average for vehicle crime (0.4 per 1,000) further contextualises Ravenshead's performance, with its rate of 0.3 per 1,000 showing a 25% deficit. This suggests that while the area is not immune to property-related crime, its rates are lower than the national benchmark. The seasonal context of December—dark evenings, holiday-related activity, and the temporary absence of residents—likely contributes to the small but notable increase in crime compared to the previous month. However, the overall trajectory remains one of low crime, with the area's statistics consistently highlighting its position as a relatively safe built-up area within Gedling.

December 2024 witnessed a 100% increase in vehicle crime and burglary, both rising from 0 to 2 incidents. This surge, though small in absolute terms, may be linked to seasonal factors such as holiday-related vehicle movement or the temporary vacancy of homes during the festive period. Violence and sexual offences also rose by 50%, from 4 to 6 incidents, though this category remains 61% below the UK average of 2.6 per 1,000. Conversely, other theft and anti-social behaviour both declined, with the latter falling 33.3% from 3 to 2 incidents. These shifts suggest a combination of seasonal activity and local enforcement. For residents, the most concrete takeaway is the 100% increase in vehicle crime: with 2 incidents reported, this represents a significant deviation from the previous month's zero. The category's UK average of 0.4 per 1,000 further contextualises Ravenshead's performance, showing a 25% deficit. This data could inform targeted measures, such as increased patrols in car parks or public awareness campaigns about securing vehicles during the holidays.

Ravenshead's December 2024 crime rate of 2.2 per 1,000 residents marks an 8.3% increase from the previous month's 2.0 per 1,000. This shift, though modest, reflects seasonal dynamics typical of December—a month marked by extended evenings and holiday-related activity. Over the course of the month, 13 crimes were reported, equating to roughly 0 crimes per day. While this daily figure may seem abstract, the monthly exposure provides a more tangible context: for every 453 residents, one crime was reported. This statistic underscores the relatively low frequency of crime in Ravenshead compared to the UK average. The population-scaled perspective reveals that the area's crime rate is 69% below the national average, a gap that highlights the effectiveness of local policing or community factors in maintaining safety. However, the 8.3% month-on-month rise suggests that seasonal pressures, such as increased foot traffic during Christmas shopping or the temporary absence of residents during holidays, may temporarily elevate crime risk. This contrast between annual trends and monthly fluctuations illustrates the importance of contextualizing crime data within both long-term and short-term patterns.