Llandudno Crime Rate

Llandudno's crime rate of 199.3 per 1,000 residents places it 119% above the UK average, with anti-social behaviour occurring at three times the national rate. This stark contrast between the town's scenic appeal and its crime statistics raises urgent questions about how residents navigate daily life in an area where public order issues are more prevalent than in most UK locations.

Llandudno, a picturesque seaside resort in Conwy, attracts both tourists and residents. Its mix of coastal walks, retail centres, and residential areas creates a unique environment where anti-social behaviour and shoplifting are more prevalent. The proximity to major transport routes and the presence of seasonal tourism likely contribute to elevated crime rates, particularly in public spaces and around commercial areas.

Llandudno's crime profile is defined by two stark contrasts: anti-social behaviour, which is 237% above the UK average, and vehicle crime, which is 67% below the national rate. The most surprising finding is the extreme overrepresentation of anti-social behaviour, likely tied to the town's high foot traffic and transient population during peak tourist seasons. Shoplifting, at 186% above the UK average, may be driven by the retail sector's visibility and accessibility. Meanwhile, vehicle crime's suppression could reflect the town's limited commuter parking and fewer high-value vehicle concentrations. These patterns highlight a tension between tourism-driven economic activity and the challenges of managing public order in a densely populated coastal area.

Llandudno's crime rate remained stable (-3.5% YoY) over the past year, but 'other crime' surged by 47.4%, a notable upward trend. Monthly data reveals a clear seasonal pattern, with crime peaking in November (23.1 per 1,000/month) — likely linked to post-Christmas retail activity and holiday-related disturbances — and troughing in June (13.5 per 1,000/month). This seasonal fluctuation aligns with Llandudno's reliance on tourism, where increased foot traffic during off-peak months may reduce opportunities for certain crimes.

How To Keep Safe in Llandudno

Residents should focus on mitigating the 237% above-average anti-social behaviour rate by installing scOS systems that detect and deter persistent disturbances. For shoplifting, which occurs at 21.5 per 1,000 (186% above UK average), retailers should adopt multi-camera monitoring and AI-driven theft detection. During the evening peak of other crimes (60% of total), avoid isolated areas and use well-lit routes. Given the 47.4% YoY increase in 'other' crimes, stay informed about local patterns and report suspicious activity promptly.

Crime in Llandudno follows a distinct rhythm, with theft peaking during afternoon hours (12pm-6pm) and other crimes surging at night. The evening (6pm-12am) sees a 60% share of 'other' crimes, likely linked to late-night entertainment venues. Nighttime (12am-6am) reveals a spike in vehicle crime (11%) and other crimes (52%), possibly due to isolated parking areas and reduced visibility. These patterns align with Llandudno's character as a tourist destination, where daytime retail activity and nighttime social hubs create distinct risk profiles.

Compared to Conwy (72.6 per 1,000) and Penrhyn Bay (31.6 per 1,000), Llandudno's crime rate is 175% and 531% higher, respectively. This disparity likely reflects differences in population density, tourism activity, and urban planning, with Llandudno's compact built-up area creating concentrated hotspots for anti-social behaviour and shoplifting.

For households in Llandudno grappling with anti-social behaviour, scOS offers AI-powered boundary detection that learns normal activity patterns and flags persistent disturbances. Its hardwired cameras provide tamper-resistant coverage, while automated lighting and audio deterrents can interrupt recurring disturbances. With 2 weeks of cloud recording, scOS creates a verifiable evidence trail for incidents occurring at 49.6 per 1,000 — a rate over three times the UK average — ensuring residents have actionable data when engaging with local authorities.