Royal Leamington Spa's crime profile in December 2024 was dominated by violence and sexual offences, which accounted for 35.7% of all reported crimes. This category, at 2.2 per 1,000 residents, was 14% below the UK average, suggesting a lower incidence of violent crime compared to national trends. The overall crime rate for the month stood at 6.2 per 1,000 residents, a figure that is 12.7% lower than the UK average of 7.1 per 1,000. This discrepancy may be attributed to the town's compact built-up area, where community policing efforts and the presence of local institutions may contribute to a lower rate of violent incidents. The second most common crime type was anti-social behaviour, which accounted for 13.4% of total crimes. This category's rate of 0.8 per 1,000 residents was 15% below the UK average, reflecting the town's relatively stable social environment and the effectiveness of local interventions in managing public order issues. Property crimes, which include burglary, shoplifting, and vehicle crime, collectively made up 64.3% of all reported incidents. However, these crimes were generally lower than the UK average, with burglary at 0.2 per 1,000 (35% below the national rate) and shoplifting at 0.4 per 1,000 (30% below the UK average). The lower rates of property crime may be linked to the town's seasonal dynamics, where holiday closures and reduced foot traffic during December likely contributed to a decline in certain categories. Bicycle theft reached 0.2 per 1,000 residents—300% above the UK average—a figure that could be explained by the town's extensive cycling infrastructure and the high volume of commuters and students who rely on bicycles as a primary mode of transport. The seasonal context of December, with its associated holiday activities, dark evenings, and reduced retail activity, likely influenced the distribution of crime types, with some categories seeing increases while others experienced declines. These patterns underscore the importance of considering both local characteristics and seasonal factors when analysing crime trends in built-up areas.