Saxilby Crime Rate January 2026 | Monthly Statistics

Saxilby recorded a crime rate of 2.4 per 1,000 residents in January 2026, placing it 64.7% below the UK average of 6.8 per 1,000. This marked improvement follows a 31.7% decline from the previous month’s rate of 3.6 per 1,000, reflecting a continued trend toward lower crime levels. The area’s crime profile remains dominated by violent offences, which accounted for 53.3% of all incidents (8 cases), followed by property-related crimes (53.3% split between property and violent categories). The most common single crime type was violence and sexual offences, a category that saw a 60% increase month-on-month but still remained 48% below the UK average. Seasonal factors may partly explain the January data, as post-holiday periods typically see reduced retail activity and fewer outdoor crimes. However, the rise in violence contrasts with the usual trend, suggesting other local dynamics could be at play. The area’s low crime rate is consistent with its character as a small built-up area within West Lindsey, where community cohesion and limited urban density may contribute to lower criminal activity. Property crimes, though fewer in number, remained below the UK average for categories like vehicle crime and burglary. This pattern aligns with Saxilby’s likely role as a low-density residential area with minimal commercial hubs, reducing opportunities for certain types of crime.

January 2026 saw notable shifts in Saxilby’s crime profile, with some categories rising sharply while others fell significantly. Violence and sexual offences increased by 60% compared to December, reaching 8 incidents (1.3 per 1,000 residents), though this remained 48% below the UK average for the category. Criminal damage and arson also surged by 100%, doubling from 0 to 2 incidents, while other theft rose by 100% from 0 to 1. These increases may reflect seasonal transitions, as January’s shorter days and post-holiday lull could lead to more indoor disputes or property damage. Conversely, anti-social behaviour dropped by 80% (from 5 to 1), and vehicle crime fell by 75% (from 4 to 1), likely due to reduced foot traffic and fewer public events during the winter. The mix of crime types also shifted slightly, with violent crimes now making up 53.3% of all incidents (compared to 40% in December), suggesting a temporary uptick in interpersonal conflict. This contrasts with the UK average for violence (2.5 per 1,000) but remains significantly lower overall. Residents might find the 1-in-411 monthly exposure figure (1 crime per 411 residents) particularly relevant, as it underscores the rarity of crime in Saxilby relative to national trends.

Saxilby’s crime rate of 2.4 per 1,000 in January 2026 represents a 31.7% decrease from the previous month’s rate of 3.6 per 1,000, indicating a sustained decline in criminal activity. On a daily basis, the area experienced approximately 0 crimes per day, a figure that highlights the low frequency of incidents despite the small population of 6,160. Over the course of the month, one reported crime occurred for roughly every 411 residents, a monthly exposure rate that is exceptionally low compared to the UK average. This statistic, when contextualised within Saxilby’s population, illustrates that the likelihood of encountering crime here is significantly lower than in most parts of the country. The area’s crime profile also diverges from the UK average in several key categories: violence and sexual offences (1.3 per 1,000) are 48% below the UK average, while anti-social behaviour (0.2 per 1,000) is 78% below. These differences may stem from Saxilby’s small size and community-oriented nature, which could foster stronger social cohesion and deterrence mechanisms. The low rate of vehicle crime (0.2 per 1,000) and burglary (0.2 per 1,000) further align with the characteristics of a rural-adjacent built-up area, where opportunities for such crimes are limited. These comparative figures reinforce Saxilby’s position as an area with consistently low crime levels, even when accounting for seasonal fluctuations.