Trimley St Mary Crime Rate

Trimley St Mary's crime rate of 30.2 per 1,000 residents — 66.8% below the UK average — illustrates a very safe community. While the area's overall crime rate has remained stable, a sharp 100% increase in 'other crime' highlights emerging challenges. This data, paired with its 92/100 safety score, suggests a place where residents can live securely, though targeted vigilance in specific areas may still be warranted.

Trimley St Mary is a small built-up area in East Suffolk, characterised by its rural surroundings and modest population of around 4,367 residents. As a commuter hub with limited commercial activity, its crime profile reflects the quiet rhythms of a close-knit community. The area's low population density and strong local policing likely contribute to its very safe rating, though occasional spikes in specific categories like 'other crime' suggest ongoing challenges in addressing niche issues.

The most surprising finding in Trimley St Mary's crime data is the slight elevation in possession of weapons at 0.9 per 1,000 — 2% above the UK average. This may reflect local enforcement priorities or transient populations passing through the area. More 'other crime' has surged by 100% YoY, though it remains below the UK average at 1.4 per 1,000. This category's sharp increase could indicate unreported incidents or shifting criminal activity patterns. Meanwhile, the area's property crime rate (8.3 per 1,000) is 74% below the UK average, with vehicle crime and burglary both declining significantly. This likely stems from the area's low density and limited commercial infrastructure, which reduce opportunities for opportunistic theft.

Crime in Trimley St Mary has remained stable at 3.9% YoY, with the most significant change being a 100% increase in 'other crime' — a category that includes unclassified incidents. This surge contrasts with declines in vehicle crime (-57.1% YoY) and public order (-53.3% YoY), likely due to improved policing in visible areas. The monthly trend shows a peak in October (4.6 per 1,000/month), possibly linked to seasonal factors or temporary events. While most categories remain below the UK average, the sharp rise in 'other crime' suggests ongoing challenges in addressing niche criminal activities.

How To Keep Safe in Trimley St Mary

Residents should focus on securing vehicles, given the 25% of vehicle crime incidents occurring between 12am-6am. Installing motion-sensor lighting near parking areas may help deter opportunistic thefts. For 'other crime' spikes, consider community engagement initiatives to address unreported incidents. As the area's property crime rate remains 74% below the UK average, maintaining existing security measures like locked doors and windows is sufficient for most households.

Crime in Trimley St Mary follows distinct patterns aligned with the area's daily rhythms. Theft peaks during afternoons (63% of reported thefts occur between 12pm-6pm), possibly linked to local retail activity and drop-off windows. Burglary incidents rise sharply in the evening (16% of cases between 6pm-12am), suggesting targeted break-ins during periods of reduced visibility. 'other crime' spikes at night (37% of cases between 12am-6am), indicating potential issues with unreported or less visible incidents. Vehicle crime, though low, concentrates at night (25% of cases between 12am-6am), likely tied to isolated parking areas.

Trimley St Mary's crime rate (30.2 per 1,000) is significantly lower than nearby areas like Trimley St Martin (42.5 per 1,000) and Felixstowe (56.3 per 1,000). However, it is 12% higher than Kirton (East Suffolk) (27.1 per 1,000) and 8% higher than Shotley Gate (28.0 per 1,000). This variation likely reflects differences in population density, economic activity, and policing resources across these small East Suffolk communities.

For Trimley St Mary residents, scOS offers proactive security tailored to the area's specific risks. While the overall crime rate is very low, the 100% YoY increase in 'other crime' underscores the need for targeted measures, scOS's AI-powered boundary detection can identify unusual activity around properties, while its behavioural pattern learning distinguishes regular visitors from potential threats. These features are particularly relevant given the slight elevation in possession of weapons (2% above UK average), helping to deter unauthorised access before incidents escalate.