Chapel-en-le-Frith Crime Rate

Chapel-en-le-Frith’s crime profile stands out for its notably lower rates compared to the UK average, with a safety score of 87/100. While the area’s overall crime rate (52.4 per 1,000) is 42.5% below the UK benchmark, the sharp rise in 'other crime' (+267% YoY) highlights an emerging trend warranting closer scrutiny. Despite this, the town remains one of the safer areas in the region, particularly in property crime and anti-social behaviour.

Chapel-en-le-Frith is a historic market town in the High Peak area, known for its proximity to the Peak District and a mix of residential and small-scale commercial properties. Its relatively low population density and strong community ties may contribute to lower rates of anti-social behaviour, though the presence of local shops and pubs creates opportunities for retail crime. The area’s rural-urban balance likely influences crime patterns, with shoplifting and vehicle crime more common near commercial hubs.

The most surprising finding is the 44% year-on-year rise in shoplifting, despite remaining 28% below the UK average. This may reflect increased foot traffic near local retail outlets, particularly during peak shopping hours. Violence and sexual offences, though 27% below the UK average, could be linked to the town’s nightlife, though the absence of reported violence suggests limited late-night activity. Anti-social behaviour remains notably lower than the UK average, likely due to the town’s close-knit community and proactive local initiatives. Vehicle crime, 73% below the UK average, may benefit from lower commuter traffic compared to larger urban centres.

Crime in Chapel-en-le-Frith has remained stable (-2.3% YoY), with no major spikes. However, 'other crime' has surged by 267% YoY, though it remains below the UK average. This category may include minor offences or unclassified incidents, suggesting a need for further investigation. Shoplifting rose by 44% YoY, likely due to seasonal retail activity, while anti-social behaviour and drugs-related crime declined. The absence of a sharp increase in violence and sexual offences indicates the town’s low-risk profile has remained consistent.

How To Keep Safe in Chapel-en-le-Frith

Stay vigilant during afternoons and evenings when theft and burglary are more likely. Secure vehicles overnight, as vehicle crime spikes between midnight and 6am. Report suspicious activity promptly, particularly in commercial areas where shoplifting is rising. Avoid isolated parts of the town during evening hours, and consider using well-lit routes when walking. Community engagement, such as participating in local initiatives, may further reduce anti-social behaviour in the area.

Crime in Chapel-en-le-Frith peaks during the afternoon and evening, with theft and burglary concentrated between 12pm and 6pm. This aligns with the presence of local shops and businesses, where shoplifting and theft from premises are more likely. Vehicle crime spikes at night, particularly between 12am and 6am, possibly linked to unoccupied properties or parked vehicles in residential areas. The low rate of violence and sexual offences during all periods suggests limited late-night activity, though evening hours see a slight increase in other crime categories, likely tied to social events or public spaces.

Compared to nearby areas, Chapel-en-le-Frith has a 77% higher crime rate than Chinley, likely due to differences in population density and local amenities. Whaley Bridge, however, has an 8% higher rate, suggesting broader regional variations in crime dynamics. Furness Vale, the safest nearby area, may benefit from lower commercial activity and stronger community cohesion.

For home security in Chapel-en-le-Frith, focus on proactive measures given the 73% lower vehicle crime rate compared to the UK average. scOS’s DVLA vehicle registration verification can flag suspicious vehicles near properties, while its AI-driven boundary detection helps deter intruders. For anti-social behaviour, scOS’s behavioural pattern learning reduces false alarms by distinguishing regular visitors from potential threats. These features align with the area’s crime profile, offering tailored protection without overcomplicating systems.