Arnold Crime Rate

Arnold's crime profile stands out for its very high safety score (85/100) despite a 34% elevation in 'other crime' compared to the UK average. While overall crime has decreased by 9.1% year-on-year, shoplifting and anti-social behaviour remain notable concerns. The area's property crime rate is 30.3% below the UK average, highlighting effective local measures that suppress burglary and vehicle crime.

Arnold is a built-up area within Gedling, characterised by a mix of residential and commercial zones. Its moderate population density and proximity to Nottinghamshire's transport networks likely influence crime patterns. The area's retail centres and commuter routes may contribute to shoplifting and vehicle crime, while its community-focused environment may help suppress anti-social behaviour. Economic stability and strong local policing are likely factors in its overall safety profile.

Arnold's most surprising finding is the 34% elevation in 'other crime' (2.7 per 1,000) compared to the UK average (2.0). This category may encompass less-defined incidents like vandalism or minor disturbances, potentially linked to transient populations or underreported issues. Shoplifting (9.2 per 1,000, 22% above UK average) is likely driven by retail density and foot traffic in Arnold's commercial hubs. Violence and sexual offences (22.5 per 1,000, 30% below UK average) are lower, due to effective community engagement and policing. Property crime rates (22.2 per 1,000) are 30.3% below the UK average, with burglary (-46.8% YoY) showing significant decline, reflecting improved home security or targeted police initiatives.

Arnold's overall crime rate has decreased by 9.1% year-on-year, with burglary dropping sharply by 46.8%—likely due to improved home security or police initiatives. However, 'other crime' has surged by 40% YoY, reflecting a notable shift in criminal activity. Shoplifting has also risen by 21.6%, possibly linked to increased retail activity. The monthly trend shows a clear seasonal pattern: crime peaked in April 2025 (6.9 per 1,000/month) and troughed in January 2026 (5.1 per 1,000/month), aligning with longer evenings and holiday periods.

How To Keep Safe in Arnold

For shoplifting prevention, secure valuables in commercial areas during peak afternoons (46% of incidents). For 'other crime', avoid isolated areas during evening hours (59% of incidents). Given Arnold's 22% above-average shoplifting rate, retail workers should use anti-theft devices and monitor high-traffic zones. Residents with vehicles should park in well-lit areas to leverage Arnold's 63% below-average vehicle crime rate. For 'other crime', consider AI-powered monitoring systems that detect threats before they reach property boundaries, as 43% of such incidents occur overnight.

Crime in Arnold follows distinct daily rhythms. Theft peaks in the afternoon (46% of incidents) and evening (18%), aligning with retail hours and after-work activity. Other crime spikes dramatically in the evening (59%) and night (43%), suggesting targeted opportunistic behaviour during low-visibility hours. Vehicle crime (11% in the afternoon, 31% at night) is concentrated where parked vehicles are left unattended. The absence of violence and sexual offences during evenings may reflect Arnold's community-oriented environment, where public spaces remain relatively safe even after dark.

Arnold's crime rate (69.5 per 1,000) is 11% higher than Carlton (Gedling) (62.7) and 6% higher than Bestwood Village (65.7). However, Carlton (Gedling) remains the safest nearby area. Differences may stem from varying retail densities and community policing strategies, with Arnold's commercial hubs contributing to higher shoplifting rates compared to its more residential neighbours.

For Arnold residents facing a 34% above-average rate of 'other crime' (2.7 per 1,000), scOS offers targeted solutions. Its AI-powered boundary monitoring detects threats before they reach property perimeters, crucial for areas with elevated non-specific crime. The system's vehicle registration verification feature is particularly relevant given Arnold's 63% below-average vehicle crime rate, helping identify suspicious vehicles. By learning household patterns, scOS distinguishes between regular activity and potential intrusions, reducing false alarms in a community where 43% of other crime occurs overnight.