New Holland Crime Rate

New Holland's crime profile reveals a sharp contrast between its overall safety and specific vulnerabilities. While the area's crime rate is 36% below the UK average, burglary has surged by 100% YoY to 6.1 per 1,000—86% above the national average. This anomaly highlights the need for targeted security measures in a built-up area where unoccupied homes and transient populations create opportunities for opportunistic thieves.

New Holland is a built-up area in North Lincolnshire, characterized by a mix of residential and commercial properties. As a commuter suburb with a small population of 1,305, it experiences crime patterns influenced by its proximity to major transport routes and seasonal fluctuations in local activity. The area's relatively low property crime rate suggests a stable community, though the sharp increase in burglary highlights vulnerabilities in home security that may stem from transient populations or unsecured properties during peak hours.

New Holland's most surprising finding is its burglary rate, which is 86% above the UK average (6.1 vs 3.3 per 1,000). This discrepancy likely reflects the area's commuter nature, where unoccupied homes during work hours create opportunities for opportunistic thieves. While anti-social behaviour and violence remain common, their rates are significantly below national averages—possibly due to the community's tight-knit character. The 100% YoY increase in burglary, coupled with the 50% rise in vehicle crime, suggests a growing vulnerability to property-focused crimes. The area's 70% above-average rate of weapon possession may indicate isolated incidents tied to transient populations rather than systemic issues.

Crime in New Holland has decreased by 11.6% YoY, yet burglary has surged by 100%, rising from 3.0 to 6.1 per 1,000 residents. This divergence highlights a shift in criminal activity toward property-focused crimes. Monthly trends show a seasonal pattern, with peaks in March (7.7 per 1,000) and September (6.1 per 1,000), likely linked to longer evenings and increased outdoor activity. The sharp increase in burglary may reflect a growing population of transient residents or unsecured properties during peak working hours.

How To Keep Safe in New Holland

Residents should prioritize securing homes against burglary, which is 86% above the UK average. Install motion-sensor lights near entry points and avoid leaving valuables in sight of windows during work hours. For vehicle crime, which peaks at night, park in well-lit, high-traffic areas near commercial zones. Given the 100% YoY increase in burglary, consider using a home security system that includes remote monitoring and real-time alerts to detect suspicious activity around properties.

Crime in New Holland follows distinct temporal patterns. Burglary peaks in the afternoon (56% of incidents between 12pm-6pm), likely exploiting periods when residents are at work. Vehicle crime spikes at night (28% of incidents between 12am-6am), possibly linked to unsecured parking areas near commercial zones. Theft and 'other' crimes are most prevalent in the evening (34% of incidents between 6pm-12am), aligning with local nightlife activity. These patterns suggest that targeted security measures during afternoon hours and nighttime patrols could mitigate risks.

Compared to nearby areas, New Holland's crime rate of 58.2 per 1,000 is 36% higher than Barrow upon Humber's 42.9 per 1,000 but 9% lower than Barton-upon-Humber's 63.7 per 1,000. This variation likely reflects differences in population density and economic activity, with Barton-upon-Humber's higher rate potentially linked to its proximity to major transport hubs and industrial zones.

For households in New Holland, addressing the burglary risk requires proactive security solutions, scOS's AI-powered perimeter detection identifies threats before intrusions occur, distinguishing between household members and potential intruders. With 6.1 burglaries per 1,000 residents—86% above the UK average—automated lighting and speaker systems can deter offenders in real time. The system's ability to learn behavioural patterns ensures that false alarms are minimized, providing tailored protection for properties in an area where unoccupied homes are a key vulnerability.