North Northamptonshire's crime rate in October 2025 was 7.3 per 1,000 residents, placing it 5.2% below the UK average of 7.7 per 1,000. This figure, while relatively low compared to national standards, reflects a combination of local factors and broader demographic trends. The most prevalent crime types were violence and sexual offences (35% of total crimes), followed by anti-social behaviour (23.2%) and shoplifting (8.2%). These patterns suggest a mix of urban and rural characteristics, where densely populated areas may contribute to higher rates of violent crime, while anti-social behaviour could be linked to community dynamics or environmental factors. The seasonal context of October, with clocks going back and the onset of darker evenings, may have influenced crime patterns, particularly in areas where visibility is reduced. However, the data does not indicate a direct causal link between these factors and the observed rates, though such seasonal transitions could contribute to fluctuations in certain crime categories. The relatively low rate of shoplifting (0.6 per 1,000) compared to the UK average (0.6 per 1,000) suggests that local retail environments or policing efforts may have mitigated opportunities for such offences. Meanwhile, the significant divergence in anti-social behaviour rates—35% above the UK average—highlights the need for targeted interventions in areas where this type of crime is concentrated. The overall crime profile indicates a balance between violent and property-related offences, with property crimes accounting for 30% of the total (823 incidents) and violent crimes making up 35% (956 incidents). This balance may reflect the area's mix of residential and commercial spaces, where both types of crime can coexist. The data also reveals that certain categories, such as burglary and vehicle crime, align closely with UK averages, suggesting that the area's performance in these areas is consistent with national trends. However, the marked difference in anti-social behaviour rates underscores the importance of addressing local-specific challenges that may not be fully captured by broader national statistics.