Dunholme Crime Rate

Crime statistics for Dunholme, West Lindsey, reveal a crime rate of 36.3 per 1,000 residents over the period from January 2025 to December 2025. This figure is notably higher than the UK average of 91.6 per 1,000, indicating a relatively lower crime risk compared to the national picture. However, a concerning trend of increasing crime has been observed, with a year-on-year rise of 5.6%. While property crime remains relatively low at 6.2 per 1,000, the prevalence of violence and sexual offences is a key area of concern. Understanding these trends and the specific types of crime affecting Dunholme is crucial for both residents and local authorities.

The most prevalent crimes reported in Dunholme during the period from January 2025 to December 2025 involve violence and sexual offences, accounting for 46.8% of all recorded incidents (44 crimes). Anti-social behaviour follows, with 20 occurrences, representing 21.3% of the total. Criminal damage and arson contributes 8 crimes (8.5%), while other theft accounts for 6 crimes (6.4%). Other miscellaneous crimes, drugs offences, and public order incidents each contribute a smaller proportion, ranging from 1.9% to 3.2% of the total. Notably, burglary is comparatively low, with only one reported incident, representing a mere 1.1% of all recorded crimes. Vehicle crime also has a minimal presence, with one recorded incident. The relatively low number of burglaries and vehicle crimes suggests a degree of security and community vigilance within Dunholme, although the high incidence of violent offences warrants further consideration.

Crime in Dunholme has been steadily increasing, with a noticeable rise of 5.6% year-on-year. Examining the monthly data from January 2025 to December 2025 reveals fluctuations throughout the year. January saw a relatively low rate of 3.5 crimes per 1,000 residents, which increased to 3.9 in February. A significant dip occurred in March (2.7 per 1,000), followed by a very low point in April (1.2 per 1,000). However, the rate rebounded sharply in June, reaching 4.2 per 1,000. Subsequent months have shown a fluctuating pattern, with a peak of 3.9 in September and November, and a return to 3.9 in December. This inconsistent monthly trend suggests that crime patterns in Dunholme are complex and influenced by various factors.

How To Keep Safe in Dunholme

Given the prevalence of violence and sexual offences in Dunholme, it's important to prioritize personal safety. Firstly, be aware of your surroundings, especially when walking alone at night. Secondly, consider joining or supporting local neighbourhood watch schemes to foster community vigilance. Thirdly, avoid walking through poorly lit or secluded areas after dark. Fourthly, report any suspicious activity to the local police promptly. Finally, ensure your home is well-lit and has secure locks to deter potential criminal activity.

Criminal activity in Dunholme appears to follow a fairly consistent daily pattern. During the morning hours (6am-12pm), the majority of recorded crimes involve theft and other offences, likely linked to commercial activity. The afternoon (12pm-6pm) continues to see theft as the predominant crime type. In the evening (6pm-12am), a slight shift occurs, with a greater proportion of crimes falling into the ‘other’ category. Finally, during the night (12am-6am), while overall crime remains relatively low, ‘other’ offences continue to dominate, potentially indicating opportunistic incidents or disturbances.

Compared to neighbouring areas, Dunholme’s crime rate presents a mixed picture. Welton, another village in West Lindsey, has a higher rate of 41.9 per 1,000, suggesting that Dunholme is comparatively safer than some surrounding settlements. However, Scothern (12.4 per 1,000) and Sudbrooke (8.3 per 1,000) demonstrate significantly lower crime rates, highlighting areas where safety is a greater priority. Nettleham, with a rate of 39.6 per 1,000, is closer to Dunholme’s rate, indicating a similar level of crime risk.

Traditional CCTV systems often serve as a reactive measure, recording incidents after they’ve occurred. However, a proactive approach to home security, like that offered by scOS, can dramatically alter the landscape of property protection. scOS uses AI to detect threats at your property boundary, watching all cameras simultaneously and verifying potential risks before they escalate. The system's DVLA vehicle verification feature instantly flags suspicious vehicles, while its pattern learning recognizes your family and routines, minimizing false alarms. This visible deterrence – the knowledge that a professional-grade security system is in place – can be enough to make opportunistic burglars reconsider. Reading crime statistics is one thing; actively preventing threats at your property line is another, and scOS provides that level of proactive protection.