Rawmarsh Crime Rate October 2024 | Monthly Statistics

Rawmarsh's crime rate in October 2024 stood at 10.0 per 1,000 residents, 23.5% above the UK average of 8.1. This figure underscores a persistent challenge for the built-up area within Rotherham, where crime patterns reflect the characteristics of a semi-urban environment. The most prevalent crime type was violence and sexual offences, accounting for 36.3% of all incidents — a rate 35% higher than the UK average. This suggests a concentration of incidents in public spaces or areas with high foot traffic, potentially linked to the area's retail and community hubs. Shoplifting followed closely at 13.7% of all crimes, with rates 94% above the national average, likely driven by the presence of commercial centres. The sharp rise in vehicle crime — 177% above the UK average — highlights a unique vulnerability, possibly tied to the area's road infrastructure and seasonal changes in travel patterns. These findings align with the broader context of October, a month marked by shorter evenings and the waning influence of Halloween, which may have altered both criminal opportunities and community activity. The data also reveals a combination of crime types: while property crimes (78 incidents) dominate, violent crimes (66 incidents) remain high, suggesting a dual challenge for local authorities. This duality points to the need for a multi-faceted approach, addressing both the spatial concentration of crimes and the underlying factors that contribute to their occurrence. The seasonal context further complicates this picture, as the transition from autumn to winter may influence crime trends in ways that require ongoing monitoring and adaptive strategies.

October saw a sharp 76.9% increase in vehicle crime, rising from 13 to 23 incidents. This jump may reflect seasonal factors, such as increased car usage during darker evenings or the timing of local events. Concurrently, violence and sexual offences rose by 10%, reaching 66 cases — a rate 35% above the UK average. These figures contrast with a 61.5% drop in public order offences, likely linked to Halloween-related activity tapering off. Shoplifting remained a persistent issue, with rates 94% above the UK average, driven by retail activity in Rawmarsh's commercial hubs. Residents may find the 1-in-100 resident monthly exposure figure particularly relevant, illustrating the frequency of crime in daily life. The 25% increase in drug-related crimes also stands out, suggesting a shift in crime mix that warrants attention. Anti-social behaviour fell by 38% compared to the UK average, indicating a relative strength in this category. This divergence highlights the need for differentiated strategies — addressing vehicle crime through targeted patrols, while building on existing efforts to manage anti-social behaviour.

Rawmarsh's crime rate in October 2024 fell by 8.1% compared to the previous month, dropping from 10.9 to 10.0 per 1,000 residents. This decline aligns with seasonal patterns, as shorter evenings and the end of the Halloween period may have reduced opportunities for certain crimes. Locally, the area recorded approximately six crimes per day during the month, a figure that contextualises the frequency of incidents for residents. Over the course of October, one reported crime occurred for roughly every 100 residents, highlighting the monthly exposure to crime in a community of 18,185 people. When compared to the UK average, Rawmarsh remains significantly above the national benchmark, but the downward trend suggests potential stabilisation in crime dynamics. The population context further illustrates that, while the rate is elevated, the absolute number of crimes remains manageable within the area's size. This balance between rate and scale underscores the need for targeted interventions that address specific crime drivers without overgeneralising the area's challenges. The localised nature of many incidents, such as shoplifting in commercial hubs or vehicle crime in residential streets, indicates that solutions may benefit from hyper-localised approaches rather than broad policy measures.