Upper Tean Crime Rate

Crime statistics for Upper Tean, Staffordshire Moorlands, reveal a crime rate of 49.6 per 1,000 residents between January 2025 and December 2025. While this is lower than the UK average of 91.6 per 1,000, it still indicates a level of criminal activity requiring attention. The safety score for Upper Tean is 89/100, which is higher than the UK average of 79/100, suggesting a perception of relative safety amongst residents. Over the data period, the overall trend has been stable, showing a decrease of 3.0% year-on-year. Understanding these figures and the types of crimes prevalent in the area is crucial for residents and local authorities alike.

The most recent data from January 2025 to December 2025 reveals that Upper Tean experiences a crime rate of 49.6 per 1,000 residents annually. This figure places it above the UK average of 91.6 per 1,000, suggesting a heightened level of criminal activity compared to the national average. The most prevalent crimes reported within Upper Tean are violence and sexual offences (15.9 per 1,000, accounting for 32.1% of all crimes), followed closely by vehicle crime and shoplifting, both at 5.9 per 1,000 (11.9% each). Anti-social behaviour contributes 5.6 per 1,000, while criminal damage and arson represent 4.4 per 1,000. Overall, property crime, encompassing burglary, theft, and criminal damage, accounts for a significant proportion of incidents, with a rate of 22.4 per 1,000 residents. The prevalence of these crime types reflects the specific socio-economic factors and local dynamics within the community.

Crime rates in Upper Tean have remained relatively stable between January 2025 and December 2025, exhibiting a slight decrease of 3.0% year-on-year. Monthly data reveals fluctuations, with peaks observed in April (6.6 per 1,000) and December (6.2 per 1,000), and a significant low in September (1.9 per 1,000). These variations may be attributable to seasonal factors, local events, or changes in police enforcement strategies. While the overall trend indicates stability, continued monitoring and targeted interventions are essential to maintain this positive trajectory and address any emerging crime patterns.

How To Keep Safe in Upper Tean

Given the prevalence of violence and sexual offences, vehicle crime, and shoplifting in Upper Tean, consider these practical safety measures. Firstly, be aware of your surroundings, especially when walking alone at night. Secondly, ensure your vehicle is securely locked and parked in a well-lit area to deter vehicle crime. Thirdly, if you are shopping, keep valuables out of sight and be mindful of your belongings. Finally, report any suspicious activity to the police immediately. By being vigilant and proactive, you can contribute to the safety and security of your community.

The distribution of crimes in Upper Tean varies across different times of the day. Burglaries are most frequently reported during the afternoon (12pm-6pm), accounting for 17% of incidents. Vehicle crime exhibits a higher concentration during the evening and night hours (6pm-6am), particularly overnight (12am-6am) when it accounts for 63% of such crimes. Violence and sexual offences, while less frequent overall, tend to peak during the evening hours (6pm-12am). Theft is more prevalent during commercial hours in the afternoon, while other crimes demonstrate a more even distribution throughout the day.

Comparing Upper Tean's crime rate of 49.6 per 1,000 to nearby areas provides context. Cresswell and Dilhorne report zero crimes per 1,000, demonstrating exceptionally low crime levels. Cheadle, however, has a significantly higher rate of 78.3 per 1,000, while Blythe Bridge and Forsbrook experience a rate of 80.9 per 1,000. This variation highlights the localised nature of crime and the impact of differing demographic and socio-economic factors across the Staffordshire Moorlands.

Traditional CCTV systems offer a reactive approach – recording incidents after they occur. However, the crime statistics for Upper Tean, particularly the prevalence of vehicle crime and violence, necessitate a more proactive strategy. scOS offers a fundamentally different approach. Its multi-camera intelligence monitors the entire property boundary simultaneously, detecting potential threats before they escalate. The DVLA vehicle verification feature can instantly identify suspicious vehicles, while pattern learning recognises familiar faces and routines, filtering out genuine threats. The visible presence of scOS acts as a significant deterrent, often causing potential intruders to reconsider their actions within that critical 60-second window. Reading crime statistics is one thing; preventing crime from happening in the first place is another.