Scholes (Leeds) Crime Rate

Scholes (Leeds) stands out for its burglary rate, which is 31% above the UK average (4.3 vs 3.3 per 1,000), despite an overall crime rate 52.6% below the national average. This paradox highlights the area’s complex safety profile, where targeted property crime risks coexist with a broader environment that is safer than the UK average. The sharp rise in public order crimes (+267% YoY) adds urgency to understanding local patterns, even as the area’s safety score of 89/100 underscores its general security.

Scholes (Leeds) is a built-up area within Leeds, characterised by a mix of residential properties and community spaces. Its relatively low population density and proximity to urban amenities may contribute to its overall safety profile. However, the higher-than-average burglary rate suggests potential vulnerabilities linked to property distribution or socioeconomic factors, such as older housing stock or transient populations.

The most surprising finding in Scholes (Leeds) is the burglary rate, which is 31% above the UK average (4.3 vs 3.3 per 1,000). This may be influenced by the area's housing composition, with a higher proportion of detached or semi-detached homes that could be targeted. Violence and sexual offences, though rising by 87% YoY, remain below the UK average, reflecting the area's lower population density reducing opportunities for such crimes. Public order crimes have surged by 267% YoY, likely tied to seasonal events or increased policing activity in specific months, though their rate remains below the UK average. The sharp contrast between burglary and other crime types highlights the need for targeted property crime prevention strategies.

Crime in Scholes (Leeds) has increased by 30.4% YoY, with public order crimes surging by 267% — the fastest-rising category. This spike may be linked to seasonal events or changes in reporting during specific months. Violence and sexual offences have risen by 87% YoY, though they remain below the UK average. The overall increase contrasts with property crime, which has seen no significant change. Monthly trends show a peak in July 2025 (6.1 per 1,000) and a trough in January 2026 (0.4 per 1,000), suggesting seasonal fluctuations tied to tourism, university terms, or local events.

How To Keep Safe in Scholes (Leeds)

Residents should prioritise securing entry points, particularly during night hours when burglary peaks at 54% of incidents. Consider motion-sensor lighting for unoccupied properties and avoid leaving valuables visible in vehicles, which are targeted at night. For anti-social behaviour, community engagement through local initiatives can foster a safer environment. Given the sharp rise in public order crimes, residents should remain aware of unusual activity in public spaces, especially during evenings. These steps align with the area’s safety profile, balancing vigilance with its overall low crime rate.

Crime in Scholes (Leeds) follows distinct temporal patterns. Burglary peaks at night (12am–6am), aligning with the area's lower population density and potential for undetected intrusions. Theft incidents are most common in the afternoon (12pm–6pm), possibly linked to retail activity or daytime vulnerabilities. Vehicle crime spikes at night, likely due to reduced visibility and fewer witnesses. These patterns suggest that residential security measures, such as motion-sensor lighting, are critical during evening and night hours, while daytime theft prevention could focus on securing valuables in public spaces.

Scholes (Leeds) has a 56% higher crime rate than Barwick in Elmet (27.6 per 1,000) but a 5% lower rate than Shadwell (41.0 per 1,000). This contrast may reflect differences in population density, economic activity, or policing strategies. Thorner and Scarcroft, with rates of 38.0 and 36.3 per 1,000 respectively, show Scholes (Leeds) as a mid-tier area in terms of safety within the region, with no single factor fully explaining the variations.

For Scholes (Leeds) residents, burglary is the primary concern, with a rate 31% above the UK average. Proactive measures like AI-powered boundary detection can identify intruders before entry, leveraging context such as time of day and known visitors. Autonomous lighting and audio deterrents activate instantly, disrupting potential burglars within critical moments. Since 80% of opportunistic burglars abandon attempts if detected early, systems that integrate with property boundaries offer a strategic advantage. Ethernet-connected cameras ensure reliability, avoiding vulnerabilities like Wi-Fi interference.