Lytham St Anne's Crime Rate

Lytham St Anne's has seen a 6.6% year-on-year rise in overall crime, yet remains 6.9% below the UK average with a safety score of 81/100. The most striking trend is a 100% increase in robbery, despite the area's overall safety profile. While anti-social behaviour remains significantly above the UK average, property crime rates are notably lower, reflecting a complex interplay of local factors such as retail density and community policing.

Lytham St Anne's is a built-up area in the Fylde coastal region, blending residential communities with retail and leisure facilities. Its proximity to Blackpool and proximity to major transport links may contribute to higher foot traffic and commercial activity, which can influence crime patterns. The area's mix of urban and semi-rural characteristics, combined with a relatively stable population, creates a unique crime profile shaped by local demographics and economic factors.

Lytham St Anne's's most surprising finding is the high rate of anti-social behaviour (28.0 per 1,000), which is 89% above the UK average. This may reflect the area's mix of retail and leisure spaces, where public areas can become hubs for disruptive activity. Violence and sexual offences (27.4 per 1,000) are 15% below the UK average, likely due to lower concentrations of nightlife compared to larger cities. Shoplifting (6.2 per 1,000) is 18% below the UK average, possibly linked to effective retail security measures. Property crime as a whole is 29.9% below the UK average, with burglary (2.5 per 1,000) and vehicle crime (3.7 per 1,000) both significantly lower than national benchmarks, suggesting strong community engagement and visible policing in residential zones.

Crime in Lytham St Anne's increased by 6.6% year-on-year, with robbery surging by 100% YoY. The monthly trend shows a clear seasonal pattern, peaking in August 2025 (9.1 per 1,000) and troughing in January 2026 (5.4 per 1,000), likely tied to summer tourism and longer evenings. Robbery's dramatic increase may be linked to specific incidents or targeted activity, though it remains 72% below the UK average. Other crimes like violence and sexual offences rose by 13.7% YoY, while shoplifting decreased by 8.3%, reflecting varied local dynamics.

How To Keep Safe in Lytham St Anne's

To mitigate risks, residents should secure vehicles with alarms and avoid leaving valuables in sight during late hours, as vehicle crime spikes at night. For anti-social behaviour, stay aware of public spaces during mornings and evenings, and report disturbances promptly. Given the rise in robbery, avoid carrying large sums of cash or valuables in public, especially during peak times. Community engagement through local initiatives can also help address anti-social behaviour proactively.

Crime in Lytham St Anne's exhibits distinct temporal patterns. Theft peaks in the afternoon (46% of cases between 12pm-6pm), likely tied to retail activity and foot traffic. Vehicle crime spikes at night (44% between 12am-6am), possibly linked to unsecured parking in residential areas. Burglary is most common in the evening (17% between 6pm-12am), aligning with typical home occupancy patterns. Public order incidents dominate in the morning (27% between 6am-12pm), potentially reflecting early-day disputes or local events. These patterns suggest that community awareness during peak hours and enhanced security measures in high-risk times could mitigate risks.

Compared to Blackpool, Lytham St Anne's has a 139% lower crime rate, likely due to its smaller population and less tourism-driven economy. Wrea Green is significantly safer, with a crime rate 85% lower than Lytham St Anne's, possibly due to its rural character and lower population density. Warton (Fylde) is only 2% more crime-prone, suggesting similar urban challenges in the region.

For Lytham St Anne's, scOS's proactive boundary detection and vehicle registration verification features are particularly relevant. With vehicle crime peaking at night and anti-social behaviour concentrated in public spaces, AI-driven perimeter monitoring can deter opportunistic thieves. Simultaneous multi-camera coverage addresses the high rate of anti-social behaviour by providing comprehensive surveillance, while behavioural pattern learning reduces false alarms, ensuring security systems are both effective and unobtrusive for residents.