Wrea Green Crime Rate

Wrea Green's crime profile reveals a surprising anomaly: bicycle theft is 31% above the UK average, despite the area's overall safety score of 90/100. With a crime rate of 41.6 per 1,000 — 54% below the UK average — the area's safety is notable, but the elevated rate of bicycle theft highlights specific vulnerabilities. This contrasts with sharp declines in violence and sexual offences (down 35.3% YoY) and anti-social behaviour (down 24% YoY), suggesting targeted local efforts have reduced certain crime types while others, like vehicle crime, have surged by 300% YoY.

Wrea Green is a commuter suburb within Fylde, characterised by its low population density and a mix of residential and commercial properties. Its proximity to larger towns like Kirkham likely influences patterns of vehicle crime, while the area's strong community ties may contribute to its very high safety score. As a commuter hub, the presence of cyclists and limited industrial activity could explain the elevated rate of bicycle theft compared to the UK average.

The most striking finding is that bicycle theft in Wrea Green is 31% above the UK average (1.1 vs 0.8 per 1,000). This anomaly contrasts with the area's overall safety, suggesting vulnerabilities in bike storage or usage patterns. Violence and sexual offences. of total crimes, have decreased by 35.3% YoY, likely reflecting effective local policing or seasonal factors. Anti-social behaviour, the second most common crime, has dropped 24% YoY, possibly linked to community initiatives. The sharp 300% YoY rise in vehicle crime (2.1 per 1,000) remains puzzling but may be tied to increased traffic or unsecured parking areas. Shoplifting is 93% below the UK average, indicating strong retail security measures in local businesses.

Crime in Wrea Green has decreased by 23.3% YoY, with the most notable changes being a sharp 300% rise in vehicle crime (2.1 per 1,000) and a 35.3% decline in violence and sexual offences. This suggests a combination of factors, such as improved policing reducing certain crimes while increased traffic or unsecured parking areas may be driving vehicle crime. The 50% YoY increase in burglary and the 25% rise in public order offences, though still below UK averages, indicate emerging challenges that require targeted local responses.

How To Keep Safe in Wrea Green

Wrea Green's elevated bicycle theft rate (31% above UK average) requires targeted measures. Secure bikes in designated, well-lit areas with CCTV coverage, and use high-quality locks. Avoid leaving bikes unattended in residential parking spaces, as the area's commuter profile may attract opportunistic theft. For vehicle crime, park in areas with adequate lighting and consider using GPS trackers for vehicles. Community initiatives, such as shared bike storage facilities, could reduce vulnerabilities. Given the area's strong safety score, maintaining these measures should help sustain Wrea Green's low overall crime rate.

Crime in Wrea Green follows distinct daily rhythms. Vehicle crime spikes overnight (22% at night, 46% between 12am-6am), likely due to unlit parking areas or transient vehicles. Theft peaks in the afternoon (43% of cases between 12pm-6pm), possibly linked to retail activity or commuting patterns. Burglary occurs most frequently in the evening (14-15% between 6pm-12am), aligning with typical home occupancy times. Public order offences, though low, show a late-night spike (47% between 12am-6am), suggesting isolated incidents rather than systemic issues.

Compared to nearby areas, Wrea Green's crime rate of 41.6 per 1,000 is 57% lower than Wesham (65.4), 120% lower than Kirkham (91.6), and 107% lower than Warton (Fylde) (86.2). This stark contrast suggests Wrea Green's low population density, strong community ties, and proximity to larger towns may create unique conditions for crime patterns, particularly in vehicle and bicycle theft.

For Wrea Green residents, the elevated rate of bicycle theft (31% above UK average) demands targeted security measures, scOS's AI-powered boundary detection can monitor bike storage areas and flag suspicious activity near unsecured bikes, reducing opportunities for theft. Its vehicle registration verification feature helps identify stolen or cloned plates, which may be linked to the sharp 300% YoY rise in vehicle crime. By learning household patterns, scOS distinguishes between regular commuters and potential offenders, triggering automated deterrents like lights and audio warnings. This proactive approach aligns with Wrea Green's need to address specific vulnerabilities while maintaining its overall safety.