For a population of 26,675, Haverhill recorded 140 crimes in August 2024, translating to a crime rate of 5.3 per 1,000 residents—35.4% below the UK average of 8.2 per 1,000. This figure positions Haverhill firmly within the lower end of the national spectrum for crime, consistent with its status as a built-up area within West Suffolk. The area’s crime profile reveals a mix of violent and property offences, with violence and sexual offences accounting for nearly half of all reported incidents (66 out of 140). This dominance of violent crime contrasts with the UK average, where such offences make up 2.7 per 1,000 residents, 7% lower than Haverhill’s rate. Seasonal factors may play a role in this pattern, as August is a peak holiday month, drawing increased foot traffic to local retail areas. The surge in shoplifting by 125% compared to July could be linked to this influx of visitors, although other factors such as local economic conditions or enforcement strategies may also contribute. Conversely, anti-social behaviour remains significantly lower than the UK average, with only 17 incidents reported—58% below the national rate. This suggests a potential effectiveness of community engagement efforts or a quieter built-up environment compared to other areas. The data also highlights a unique challenge in criminal damage and arson, which in Haverhill stood at 0.7 per 1,000 residents, 13% above the UK average. This disparity may reflect local environmental factors or differing enforcement priorities, though further analysis would be needed to confirm. Overall, the crime picture in Haverhill during August 2024 illustrates a combination of seasonal dynamics, local demographics, and the built-up character of the area, all of which shape the distribution and frequency of reported incidents. The relatively low rate of burglary (0.2 per 1,000) compared to the UK average (0.3 per 1,000) may also reflect the area’s housing stock and security measures, particularly during school holidays when homes are often unoccupied. These patterns underscore the importance of contextualising crime data within the specific socioeconomic and geographic characteristics of the area.