Silver End Crime Rate

Silver End maintains a strong safety profile with an overall crime rate of 61.3 per 1,000 people, which is significantly lower than the UK average of 91.6. This low rate is reflected in its impressive safety score of 84/100, placing it well above the national average of 79. The crime trend in the area is currently stable, showing a minor year-over-year decrease of 3.3%. This consistency suggests a reliable environment for residents. While certain urban areas in Essex face higher challenges, Silver End remains a relatively peaceful settlement. The following data provides a detailed breakdown of the types of crime occurring in the area and when they are most likely to happen, offering a clear picture for those living in or moving to the neighbourhood.

Crime in Silver End

The most frequent crime types in Silver End are violence and sexual offences, which account for 50.9% of all reported incidents, followed by other theft at 10.3% and criminal damage and arson at 9.5%. Public order offences also match the frequency of criminal damage. When examining property-related crime collectively—which includes burglary, robbery, vehicle crime, and various forms of theft—the rate stands at 18.0 per 1,000 people. While this is significantly lower than the UK average of 32.2, it highlights that nearly one-fifth of residents' security concerns are tied to their physical assets. For homeowners, this means that while the village is generally safe, there is a consistent level of opportunistic theft and vehicle-related crime that requires sensible precautions. The concentration of violence and sexual offences as the primary category suggests that most incidents are interpersonal rather than property-focused, providing some reassurance for the security of dwellings.

Crime Trends in Silver End

The crime rate in Silver End is currently described as stable, having experienced a modest decrease of 3.3% year-over-year. Analysis of the monthly trend data from 2025 reveals a fluctuating but generally low-level pattern. The year started with 7.9 crimes per 1,000 in January, followed by a significant drop to 1.6 in February. Activity remained relatively subdued through the spring and early summer, typically hovering between 3.2 and 6.9. However, a notable peak occurred in August, where the rate rose to 10.1, followed by another high of 9.0 in October. These spikes suggest that certain months, possibly coinciding with school holidays or specific local events, see temporary increases in reported incidents. By November, the rate returned to its low of 1.6, ending the year at 4.8 in December. For residents, this stable overall trend is reassuring, though the periodic spikes in late summer and autumn indicate times when increased vigilance might be beneficial.

How To Keep Safe in Silver End

Violence and sexual offences are the most prevalent crime type in Silver End, making up over half of all recorded incidents. While many of these may be private or interpersonal, staying safe in public spaces is still important. You should try to stick to well-lit, familiar routes when walking alone at night, as visibility is a key deterrent for any form of street-level crime. It is also advisable to stay aware of your surroundings and avoid using headphones in quieter areas, ensuring you can hear what is happening around you. For residents, keeping a personal safety alarm can provide peace of mind. Additionally, because 'other theft' is the second most common crime, you should always keep personal belongings secure and out of sight when in public areas or parked vehicles. Engaging with local community watch programmes can also help keep you informed about any specific local incidents or safety concerns.

In Silver End, the timing of criminal activity follows distinct patterns based on the type of offence. During the morning and afternoon, crime is heavily weighted towards theft, which accounts for 67% to 75% of incidents between 6am and 6pm. This suggests that opportunistic crimes are more likely to occur when people are active or away from their homes during the working day. As evening approaches, the profile shifts; while theft remains significant at 37%, 'other' crimes, including anti-social behaviour and public order offences, become more prominent, making up 51% of incidents. The most notable change occurs at night (12am to 6am), where vehicle crime surges to 36% of all activity. This indicates that vehicles parked overnight are at their highest risk during these early hours, while theft incidents drop to their lowest daily point. Understanding these shifts allows residents to better time their security measures, such as ensuring vehicles are particularly well-protected overnight.

When comparing Silver End to nearby areas, it stands out as a relatively safe middle ground. It is notably safer than Tye Green, which sees a much higher rate of 96.3 crimes per 1,000 people, and Witham, which records 79.8. However, it is slightly more active than Black Notley, where the rate is a lower 40.2. For those seeking the absolute lowest crime levels in the region, Bradwell reports virtually no crime at 0.0 per 1,000. For most residents, Silver End offers a secure residential experience that compares favourably to the larger urban centres in the local authority, maintaining a safety score that is 5 points higher than the UK average.

With a property crime rate of 18.0 per 1,000 people in Silver End, protecting your home is about more than just insurance; it is about prevention. Traditional security systems often fail because they are reactive, recording high-definition footage of a crime that has already occurred. In an area where theft and vehicle crime peak at specific times, a proactive approach is essential. The scOS system changes this dynamic by using AI to detect threats at your property boundary. Instead of alerting you after a window is smashed, scOS identifies suspicious patterns and can activate autonomous responses like lights and speakers to deter an intruder before they act. For Silver End residents, this means moving beyond simple CCTV to a system that understands the difference between a delivery driver and a potential threat, ensuring that your home remains a sanctuary. This is particularly effective against the opportunistic theft types seen in the local data.