Moor Row Crime Rate

Moor Row's crime profile reveals a sharp 100% increase in anti-social behaviour year-on-year, despite the area's overall safety. With a crime rate of 30.1 per 1,000 — 66.9% below the UK average — Moor Row is one of the safest areas in the UK. This contrast between a rising anti-social behaviour trend and an overall crime decline highlights the complexity of local dynamics.

Moor Row is a small built-up area within Copeland, characterized by its rural surroundings and a mix of residential and light industrial properties. Its low population density and proximity to natural landscapes likely contribute to its overall safety. The area's crime profile reflects the characteristics of a commuter town, where property crime is more common than violent crime, and community cohesion may play a role in maintaining low overall rates.

The most surprising finding in Moor Row's crime data is the 34% elevation in 'Other crime' compared to the UK average, despite the area's overall safety. This category includes unclassified offences that may be influenced by local factors such as transient populations or specific community dynamics. Violence and sexual offences, though below the UK average, have decreased by 39.4% YoY, likely reflecting effective local policing or seasonal patterns. Other theft and public order crimes also remain well below UK averages, possibly due to the area's smaller population and tight-knit community. The sharp 100% increase in anti-social behaviour, however, suggests emerging challenges that may require targeted interventions.

Crime in Moor Row decreased by 25.0% year-on-year, with most categories showing declines. Violence and sexual offences fell 39.4%, burglary dropped 66.7%, and other theft decreased 16.7%. However, anti-social behaviour surged by 100% YoY, marking the sharpest increase. This divergence suggests that while overall safety is improving, targeted interventions may be needed for anti-social behaviour. The monthly trend shows a peak in April 2025 (5.4 per 1,000) followed by a steady decline, with the lowest rate recorded in March 2025 (1.3 per 1,000).

How To Keep Safe in Moor Row

Residents should focus on securing properties against 'Other crime', which is 34% above the UK average. Install motion-sensor lighting in less-traveled parts of the neighbourhood, as these areas may be targeted. For anti-social behaviour, report incidents promptly through the 101 non-emergency line, as this crime type has surged by 100% YoY. In areas where vehicle crime spikes at night, avoid leaving valuables visible in parked cars. Moor Row's low overall crime rate means most safety measures should focus on preventing small-scale opportunistic offences.

Crime in Moor Row follows distinct patterns throughout the day and week. Theft peaks in the afternoon (12pm-6pm), aligning with increased foot traffic and commercial activity. Vehicle crime rises sharply at night (12am-6am), likely due to parked cars in residential areas. Burglary incidents are most common in the evening (6pm-12am), possibly linked to returning residents or opportunistic offenders. The data also reveals higher 'Other crime' rates during late-night hours, which may be tied to isolated locations or reduced visibility. These patterns highlight the importance of situational awareness during peak times.

Compared to nearby areas, Moor Row's crime rate is significantly lower. Cleator Moor has a 152% higher crime rate (75.9 per 1,000), while Rheda Park's rate is 43% higher (43.0 per 1,000). Egremont, the most unsafe neighbour, has a 253% higher crime rate (106.3 per 1,000). These differences likely stem from variations in population density, economic activity, and policing resources.

For Moor Row households, where 'Other crime' is 34% above the UK average (2.7 vs 2.0 per 1,000), proactive security measures are essential, scOS's AI-powered boundary detection can identify threats before they escalate, while DVLA vehicle verification flags suspicious vehicles near properties. These features raise the risk for opportunistic offenders, deterring crime in an area where property is clearly a target. The system's ability to distinguish between regular visitors and potential threats reduces false alarms, making it a tailored solution for Moor Row's unique crime profile.