Rawmarsh Crime Rate

Rawmarsh's crime profile is defined by an alarming spike in shoplifting, which is 228% above the UK average. With an overall crime rate of 141.2 per 1,000 residents—55% higher than the national average—the area faces significant challenges. While violence and sexual offences also exceed UK rates, the most startling figure is the 500% YoY increase in bicycle theft, a sharp contrast to falling burglary and vehicle crime trends.

Rawmarsh is a built-up area within Rotherham, characterised by a mix of residential and retail zones. Its proximity to industrial hubs and commuter routes may contribute to higher shoplifting rates, while the presence of local amenities could drive anti-social behaviour. The area's socioeconomic profile, with a population of 18,185, suggests a need for targeted crime prevention strategies that address both retail and community-based vulnerabilities.

The most striking finding is shoplifting's 228% above UK average (24.6 vs 7.5 per 1,000), far exceeding other crime types. This is likely driven by Rawmarsh's retail activity, which may attract opportunistic offenders. Violence and sexual offences, though 54% above UK average, show a more moderate increase (6.7% YoY) compared to shoplifting's sharp rise (45.1% YoY). Anti-social behaviour (10% above UK average) may reflect community tensions exacerbated by economic pressures. Bicycle theft surged 500% YoY, linked to increased cycling during the pandemic or a shift in commuter patterns. These disparities highlight the need for tailored interventions: retail security upgrades for shoplifting, and community engagement to address anti-social behaviour.

Crime in Rawmarsh has increased by 7.1% year-on-year, with the most dramatic rise in bicycle theft (500% YoY). This sharp increase, despite a 26% fall in vehicle crime, suggests shifting criminal priorities. The peak in October 2025 (14.0 per 1,000/month) may reflect seasonal factors like increased foot traffic or social events. While violence and sexual offences have risen modestly (6.7% YoY), shoplifting's 45.1% YoY increase is particularly concerning, highlighting the need for targeted retail security measures.

How To Keep Safe in Rawmarsh

Residents should prioritise securing retail premises against shoplifting, using surveillance and perimeter monitoring. For anti-social behaviour, report incidents promptly to local authorities. Given the 500% YoY rise in bicycle theft, cyclists should use secure, locked storage. Home security should focus on deterring opportunistic theft, such as securing parcels and using motion-sensor lighting in gardens. These steps align with Rawmarsh's specific crime trends and local conditions.

Crime in Rawmarsh shows distinct diurnal patterns. Theft peaks in the afternoon (41% of cases) and evening (16%), aligning with retail hours and social activity. Vehicle crime spikes at night (38% of cases), likely due to reduced visibility and fewer witnesses. Burglary occurs most frequently in the evening (20%) and night (24%), suggesting opportunistic intrusions during low-traffic periods. The data underscores that shoplifting and theft are daytime crimes, while vehicle-related offences dominate overnight, reflecting different motivators and environments.

Rawmarsh's crime rate (141.2 per 1,000) is 65% higher than Swinton (Rotherham) (85.3 per 1,000), suggesting socio-economic or infrastructural differences between the areas. Rotherham (157.5 per 1,000) has a 12% higher rate than Rawmarsh, possibly due to its larger population and higher concentration of commercial activity. Greasbrough (145.1 per 1,000) is 3% higher than Rawmarsh, indicating similar vulnerabilities in nearby built-up areas.

For Rawmarsh residents, where shoplifting is 228% above the UK average, proactive perimeter security is crucial, scOS's AI-powered boundary detection identifies intruders before they enter your property, using context-aware lighting and audio deterrence. This is particularly effective against opportunistic shoplifting and theft from gardens or sheds. The system's ability to distinguish between legitimate visitors and potential threats reduces false alarms, making it a practical solution for areas with high retail and property crime rates.