Harwich's crime profile in May 2025 reveals a mixed picture, with some categories far exceeding the UK average while others remain well below. The most striking outlier is the rate of violence and sexual offences, which stood at 3.9 per 1,000—38% above the UK average of 2.8 per 1,000. This rate accounted for 48.2% of all reported crimes, making it the dominant category in the area. The second-highest category, criminal damage and arson, was 83% above the UK average, with 23 incidents recorded. These figures may be partly explained by Harwich's coastal location, which could see increased incidents during warmer months when tourism and outdoor activity rise. Anti-social behaviour, while still a concern, was 30% below the UK average, suggesting that community policing or local initiatives may be mitigating some of the more disruptive elements of crime. The overall crime rate of 8.0 per 1,000 was 1.2% below the UK average, a small but notable edge that may reflect Harwich's relatively small population and the effectiveness of local crime prevention measures. Seasonal factors in May—such as longer evenings and bank holidays—likely contributed to the rise in public order offences, which were 72% above the UK average. This aligns with broader patterns observed in coastal towns, where increased foot traffic and socialising can drive up incidents of disorder. The data also shows a stark contrast between violent crime and property crime, with the latter being significantly lower than national averages. Vehicle crime, for instance, was 25% below the UK average, and shoplifting was 70% below. This could indicate that Harwich's smaller retail footprint or lower levels of commercial activity reduce opportunities for such crimes. The seasonal context of May—marked by warmer weather and extended daylight—may also have influenced the types of crimes recorded, with public order and violence rising in line with increased social interactions. These patterns suggest that Harwich's crime profile is shaped not only by its demographic and geographic characteristics but also by the rhythms of local life, which must be considered when interpreting the data.