Countesthorpe Crime Rate January 2025 | Monthly Statistics

Countesthorpe’s overall crime rate in January 2025 stood at 4.7 crimes per 1,000 residents, placing the area 33.8% below the UK average of 7.1 per 1,000. This reflects a consistently low crime environment compared to national benchmarks, though specific crime types reveal localized patterns. Shoplifting emerged as the most prevalent category, accounting for 35.1% of all recorded crimes (13 incidents) and 158% above the UK average for this category. Violence and sexual offences followed closely at 32.4% of total crimes (12 incidents), yet remained 40% below the UK average. These figures suggest a combination of community factors and local geography shaping crime dynamics. The post-holiday period in January, marked by reduced retail footfall and shorter daylight hours, may partly explain lower shoplifting rates compared to seasonal peaks, though the sharp rise in vehicle crime highlights shifting patterns. Anti-social behaviour and public order offences, while lower than UK averages, showed increases from December, indicating potential fluctuations in community activity or enforcement priorities. The area’s built-up character within Blaby likely influences crime distribution, with retail and residential zones driving specific offence types. These data points underscore the importance of contextual analysis when interpreting crime statistics for a small built-up area.

The most dramatic month-on-month change in January 2025 was a 100% increase in vehicle crime, rising from zero incidents in December to two recorded cases. This jump, though still below the UK average of 0.4 per 1,000, suggests a sudden shift in criminal activity that may relate to seasonal changes in vehicle usage or parking patterns. Concurrently, violence and sexual offences surged by 50% (from eight to twelve incidents), a figure that remains 40% below the UK average. This category’s increase contrasts with the 66.7% decline in other theft, which fell from three to one incident—a reduction that could reflect improved security measures or seasonal variations in opportunistic crime. Anti-social behaviour also rose by 50%, from two to three incidents, though it remains 59% below the UK average. These shifts highlight a combination of crime types, with property-related offences (shoplifting, vehicle crime) and violent crimes showing divergent trends. Shoplifting’s dominance—accounting for over a third of all crimes—suggests a strong correlation with retail activity, even during the post-holiday lull. Residents might find the 158% spike in shoplifting relative to the UK average particularly noteworthy, as it indicates a localised risk factor not mirrored nationally.

Countesthorpe’s crime rate in January 2025 dropped by 5.1% from December’s 4.9 per 1,000, reflecting a slight but measurable decline in overall criminal activity. On a daily basis, the area experienced roughly one crime per day over the 31-day period, a figure that translates to a monthly exposure of one reported crime for every 214 residents. This low frequency, when contextualised against the local population of 7,920, underscores the area’s relatively safe environment. Compared to the UK average, Countesthorpe’s crime rate remains substantially lower, with property crimes (19 incidents) and violent crimes (12 incidents) both showing marked disparities. For instance, shoplifting’s rate of 1.6 per 1,000 is 158% higher than the UK average, yet violent crimes remain 40% below national levels. This contrast highlights the area’s unique crime profile, where retail-focused offences dominate but are counterbalanced by lower rates of more severe crimes. The population-scaled perspective further illustrates that residents face a significantly lower risk of experiencing crime compared to the national average, with the 33.8% deficit in overall crime rates suggesting effective local policing or community factors that mitigate criminal activity. These comparisons provide residents with a clearer understanding of their relative safety, even as specific categories like shoplifting require targeted attention.