Paddock Wood Crime Rate

Paddock Wood's crime rate of 99.8 per 1,000 residents is 9.6% above the UK average, with anti-social behaviour rising sharply by 79% YoY. This trend, coupled with shoplifting rates 91% above the UK average, highlights areas for targeted intervention. While the area is classified as 'VERY_SAFE' with a 79/100 score, the surge in anti-social behaviour and retail theft underscores the need for community-focused strategies.

Paddock Wood is a built-up area within Tunbridge Wells, characterized by its mix of residential properties and local amenities. As a commuter town with access to nearby urban centers, it experiences foot traffic that may contribute to retail-related crimes. The area's moderate population density and proximity to retail hubs likely influence its crime profile, particularly in categories like shoplifting and anti-social behaviour.

The most surprising finding in Paddock Wood is the 91% above-average rate of shoplifting, with 14.3 crimes per 1,000 residents compared to the UK average of 7.5. This may be linked to the area's retail presence and the transient nature of some populations. Anti-social behaviour, rising sharply by 79% YoY, is 52% above the UK average at 22.4 per 1,000, likely reflecting social tensions or increased community interactions. Violence and sexual offences, though 5% below the UK average, remain the most common crime type at 30.5 per 1,000. Property crime overall is 16% above the UK average, with shoplifting and theft contributing significantly. The decline in bicycle theft (-80% YoY) may indicate improved security measures or reduced target opportunities in the area.

Crime in Paddock Wood has increased by 5.6% YoY, with anti-social behaviour surging by 79% and shoplifting rising by 64.8%. The peak in February 2026 (12.2 per 1,000/month) aligns with longer evenings and winter activity patterns. Bicycle theft has dropped 80% YoY, possibly due to improved security awareness. While property crime remains 16% above the UK average, the sharp rise in anti-social behaviour suggests a need for community-focused interventions to address underlying social factors.

How To Keep Safe in Paddock Wood

Residents should prioritize securing high-value items, such as parcels left on doorsteps, which may be targeted due to the area's elevated shoplifting rates. For anti-social behaviour, community engagement through local initiatives can help reduce tensions. Avoid leaving vehicles unattended in poorly lit areas, as vehicle crime peaks overnight. Use perimeter security systems that detect unfamiliar movement, particularly during late-night hours when theft risks increase. Reporting suspicious activity promptly can also contribute to maintaining the area's safety profile.

Crime in Paddock Wood follows distinct patterns throughout the day and week. Theft peaks in the afternoon (12pm–6pm), aligning with retail hours and potential opportunities for shoplifting. Vehicle crime spikes at night (12am–6am), likely due to reduced visibility and fewer witnesses. Other crimes, such as criminal damage, are more common in the evening (6pm–12am), possibly linked to social gatherings or nightlife activity. Weekends, particularly Saturdays, show higher crime rates than weekdays, with extended periods of activity increasing opportunities for theft and anti-social behaviour.

Compared to nearby areas, Paddock Wood's crime rate of 99.8 per 1,000 is 56% higher than East Peckham (63.8 per 1,000) and 107% higher than Five Oak Green (48.3 per 1,000). These differences may stem from variations in population density, economic activity, or policing resources. Five Oak Green's lower rate suggests it may have fewer retail hubs or stronger community engagement initiatives.

For Paddock Wood residents, where shoplifting is 91% above the UK average, proactive perimeter security is a practical measure, scOS's AI-powered boundary detection can identify potential threats, such as individuals loitering near retail areas or attempting to access properties. Its autonomous lighting and audio deterrents disrupt opportunistic offenders, reducing the likelihood of theft from homes or businesses. By distinguishing between regular visitors and potential intruders, scOS minimizes false alarms while addressing the local trend of retail-related crime.