Moulton (West Northamptonshire) Crime Rate

Moulton (West Northamptonshire) has seen a sharp 200% year-on-year increase in robbery, the fastest-rising crime type in the area. Despite this, the overall crime rate of 89.0 per 1,000 is 2.2% below the UK average. Property crime is 26.6% lower than the UK average, but burglary remains 26% higher, highlighting a combination of factors like older housing stock and commuter activity.

Moulton (West Northamptonshire) is a built-up area with a mix of residential and commercial properties, situated near major transport routes and retail hubs. Its moderate population density and socioeconomic diversity likely influence crime patterns, with opportunities for both community engagement and targeted criminal activity. The area’s proximity to commuter corridors may contribute to higher property crime rates, while its retail presence could explain lower shoplifting rates due to effective security measures.

The most striking finding is the 26% higher burglary rate in Moulton (4.2 per 1,000) compared to the UK average (3.3). This may reflect the area’s older residential properties and commuter activity, which could create opportunities for opportunistic intrusions. Anti-social behaviour is 24% above the UK average (18.2 vs 14.7), likely linked to younger demographics or social hubs. Violence and sexual offences are 23% above the UK average (39.4 vs 32.1), influenced by local social dynamics or limited public spaces for community interaction. Shoplifting is 65% below the UK average (2.6 vs 7.5), suggesting effective retail security or lower foot traffic in commercial zones. Other theft, though rising by 94% YoY, remains 10% below the UK average, indicating a combination of factors such as targeted retail strategies and community vigilance.

Crime in Moulton (West Northamptonshire) has increased by 23% year-on-year, with the most significant rise in robbery (+200%). The peak monthly rate of 9.2 per 1,000 occurred in October 2025, likely influenced by seasonal factors like longer evenings and increased social activity. Shoplifting and other theft have also risen sharply (183% and 94% YoY, respectively). These trends may reflect a combination of targeted criminal activity and temporary spikes in vulnerable situations, such as holidays or local events.

How To Keep Safe in Moulton (West Northamptonshire)

Residents should prioritize securing homes against burglary, particularly given the 26% higher rate compared to the UK average. Install motion-sensor lighting near entry points and avoid leaving valuables visible from the street. For anti-social behaviour, which is 24% above the UK average, report incidents promptly to local authorities and consider joining community initiatives to foster safer public spaces. During peak theft hours (12pm–6pm), avoid leaving unattended bags in high-traffic areas. Vehicle crime spikes at night, so ensure cars are locked and valuables are not left inside.

Crime in Moulton peaks during afternoon and evening hours, with vehicle crime spiking at night (12am–6am) due to unsecured parking in residential areas. Theft occurs most frequently in the afternoon (12pm–6pm), likely tied to retail activity and commuter movements. Burglary rates remain steady across all times of day, indicating a lack of specific temporal patterns. Nighttime sees a surge in other crimes, possibly due to reduced visibility and isolated locations. Weekends show higher crime rates, particularly in the evenings, which may correlate with increased social activity and alcohol consumption in local venues.

Compared to nearby areas, Moulton (West Northamptonshire) has a 277% higher crime rate than Boughton (West Northamptonshire) and a 144% higher rate than Brixworth. Boughton’s lower crime rate (23.6 per 1,000) may reflect stronger community engagement or different socioeconomic profiles. Brixworth, with a rate of 36.5 per 1,000, shows higher crime levels but remains significantly below Moulton’s rate.

In Moulton (West Northamptonshire), where burglary is 26% above the UK average, proactive home security is essential, scOS uses AI to detect intruders at property boundaries, triggering automated lighting and audio deterrents to deter burglars before they act. This system operates on a secure ethernet network, avoiding Wi-Fi vulnerabilities. By distinguishing between normal activity and potential threats, scOS reduces false alarms while providing real-time protection. Research shows that most opportunistic burglars abandon attempts within the first minute if they believe they’ve been detected—making scOS a critical tool for residents in high-risk areas.