Stanton Hill and Skegby Crime Rate

Crime statistics for Stanton Hill and Skegby, Ashfield, reveal a crime rate of 101.5 incidents per 1,000 residents between January 2025 and December 2025. This figure is slightly higher than the UK average of 91.6 per 1,000, and reflects a complex interplay of local factors. While there has been a stable trend in crime rates over the period, with a slight increase of 1.4% year-on-year, understanding the specific types of crime prevalent in the area is crucial for residents and local authorities alike. This overview provides a factual account of the data, aiming to inform and empower residents to make informed decisions about their safety.

The crime landscape in Stanton Hill and Skegby is characterised by a concerning prevalence of violence and sexual offences, accounting for 33.9% of reported incidents. Anti-social behaviour represents another significant challenge, contributing 18.3% of overall crime. Criminal damage and arson also feature prominently, representing 10.0% of incidents. While property crimes, including burglary (5.3% of incidents), are present, they are proportionally lower compared to the violence and disorder impacting the area. Shoplifting, at 5.7%, and vehicle crime, at 3.0%, also contribute to the overall crime picture, highlighting various vulnerabilities within the community. The data underscores a need for targeted interventions addressing both immediate safety concerns and underlying social factors that contribute to these crime patterns.

Crime rates in Stanton Hill and Skegby have remained relatively stable between January 2025 and December 2025, exhibiting a slight increase of 1.4% year-on-year. Monthly data reveals fluctuations throughout the year. Notably, crime rates spiked in July 2025 (12.2 per 1,000), followed by a decrease in August (10.7 per 1,000) and a subsequent rise in October (10.9 per 1,000). A significant drop was observed in November (6.4 per 1,000), before rising again to 9.3 per 1,000 in December. While these fluctuations are typical, the overall stability suggests a consistent level of risk within the area.

How To Keep Safe in Stanton Hill and Skegby

Given the prevalence of violence and sexual offences, it's crucial to be aware of your surroundings, especially when walking alone at night. Avoid poorly lit areas and consider walking with a companion. Due to the significant level of anti-social behaviour, report any suspicious activity to the police immediately. With criminal damage and arson being a concern, secure your property effectively, including sheds and outbuildings. Be mindful of your belongings in public places to reduce the risk of theft. Finally, always lock your vehicle and remove valuables to prevent vehicle crime.

Crimes in Stanton Hill and Skegby tend to follow a daily pattern. During the morning hours (6am-12pm), burglaries represent a notable proportion of incidents, alongside theft. The afternoon (12pm-6pm) sees a similar distribution of burglaries and theft, likely linked to commercial activity. The evening (6pm-12am) witnesses a shift, with a decrease in burglaries but a heightened risk of theft and vehicle crime. Finally, the night (12am-6am) is characterised by a higher proportion of burglaries and vehicle crime, indicating a vulnerability during these hours. Being aware of these patterns can inform personal safety strategies.

Compared to its neighbours, Stanton Hill and Skegby’s crime rate stands out. Sutton in Ashfield exhibits a higher rate at 121.6 per 1,000, indicating a greater level of criminal activity. Huthwaite, with a rate of 85.6 per 1,000, demonstrates a more moderate level. However, Tibshelf’s considerably lower rate of 67.4 per 1,000 and Pleasley’s near-zero rate of 0.0 per 1,000 highlight a significant variation in safety levels across the region, demonstrating that Stanton Hill and Skegby experiences a higher degree of criminal activity than some surrounding areas.

Traditional CCTV systems often provide recordings after a crime has occurred. scOS, however, offers a proactive approach to home security. Using AI-powered multi-camera intelligence, it continuously monitors your property boundary, distinguishing between familiar faces (family, deliveries) and potential threats. The DVLA vehicle verification feature instantly flags suspicious vehicles, while pattern learning identifies and alerts you only to genuine risks. For example, if a vehicle with cloned plates approaches your property, scOS will proactively alert you, preventing a potential burglary. This level of preventative security, with its visible deterrent effect, makes that critical 60-second decision for potential intruders far more difficult – often causing them to move on before any crime is committed. Reading crime statistics is one thing; actively preventing threats at your property line is another.