Connah's Quay Crime Rate January 2026 | Monthly Statistics

Connah's Quay's January 2026 crime rate of 5.9 per 1,000 residents places the area 13.2% below the UK average of 6.8 per 1,000, marking it as one of the safer built-up areas in Wales. This performance is particularly notable given the region's proximity to coastal tourism hubs and its mix of residential and retail zones. The daily crime statistics, which show an average of 3 incidents per day, align with historical patterns but highlight the concentrated nature of crime in specific areas. With a population of 16,759, even small shifts in crime distribution can influence monthly totals. The 1-in-171 chance of experiencing a reported crime over the month contextualises the relatively low exposure compared to national averages. This consistency in daily figures, despite the 6.6% increase from December, suggests that underlying factors such as community cohesion or local policing strategies may be contributing to sustained safety levels. The area's violent crime rate, while higher than some property-related offences, remains below UK benchmarks, indicating effective interventions in this domain. The breakdown of crimes reveals that violence and sexual offences account for 36.7% of all incidents, followed by anti-social behaviour at 25.5%. These figures, combined with the seasonal context of January—a month typically marked by post-holiday lulls in retail activity—suggest that local dynamics such as community engagement and targeted policing may be playing a role in shaping the area's crime profile. The drop in shoplifting, for instance, may be linked to reduced foot traffic in high-street areas following the Christmas period, a pattern observed in similar urban centres. However, the significant rise in anti-social behaviour and public order offences indicates that certain areas may require additional scrutiny to address emerging challenges. Overall, the data reflects a combination of factors that influence crime trends in Connah's Quay, with the area's relatively low crime rate offering a contrast to the national picture.

January saw marked fluctuations in specific crime categories, with anti-social behaviour surging by 66.7% (15 to 25 incidents) and public order offences doubling (4 to 8). These increases contrast sharply with a 31.6% drop in shoplifting (19 to 13), potentially linked to reduced retail footfall during the post-holiday period. Violence and sexual offences (36 incidents) remained the most prevalent category, occurring at a rate 12% below the UK average of 2.5 per 1,000. This divergence underscores Connah's Quay's unique crime profile, where property crimes are lower than the national average. The 100% rise in 'other crime' (0 to 2 incidents) highlights emerging concerns that warrant attention from local authorities. For residents, the sharp decline in shoplifting may reflect seasonal trends, as post-holiday periods typically see reduced retail activity and fewer foot traffic in high streets. Meanwhile, the significant increase in anti-social behaviour suggests a need for targeted interventions in public spaces.

Connah's Quay's January 2026 crime rate of 5.9 per 1,000 residents marks a 6.6% increase from December's 5.5 per 1,000.2% below the UK average of 6.8 per 1,000. This 6.6% rise aligns with typical seasonal fluctuations, as post-holiday periods often see shifts in activity patterns that can influence reporting. With 98 crimes recorded over 31 days, the area experiences an average of 3 crimes per day. This daily figure, while locally relevant, does not reflect a UK-wide benchmark, as such data is not publicly available. The monthly exposure metric—1 reported crime for every 171 residents—places Connah's Quay among the safer built-up areas in Wales. This statistic, when scaled to the population of 16,759, illustrates that even with the 6.6% increase, the area's overall safety profile remains consistent with historical trends. The population context also means that small changes in crime distribution can have measurable impacts on monthly totals, highlighting the importance of localized analysis in understanding crime dynamics.