Sway Crime Rate

Introduction to Crime Statistics in Sway

Sway experiences an overall crime rate of 75.1 per 1,000 people per year, which is considerably lower than the national UK average of 93.4 per 1,000. This contributes to a robust safety score of 85 out of 100, placing Sway well above the UK average safety score of 78. The area has experienced an increase in its crime rate, showing a 40.6% increase year-over-year. This indicates a shifting safety situation within the area. These figures provide an overview of the area's security, setting the context for a more detailed analysis of specific crime types and trends within Sway.

Crime Type Analysis in Sway

An examination of crime types in Sway reveals that Violence and sexual offences (20.0% of total, 15.0 per 1,000) constitutes the most significant category. Following this, Anti-social behaviour (17.8% of total, 13.3 per 1,000) is the second most common, and Criminal damage and arson (17.0% of total, 12.8 per 1000) ranks third. These figures highlight specific areas of concern for local authorities and residents.

Looking at property-related crime, which includes burglary, theft from person, criminal damage and arson, bicycle theft, vehicle crime, and other theft, Sway has a rate of 37.3 per 1,000 people per year. This is comparatively higher than the UK average property crime rate of 33.2 per 1,000. For residents and homeowners, these statistics suggest that while property crime exists, the risk is present, yet remaining vigilant and implementing robust security measures is always advisable to protect your home and belongings.

Crime Trends in Sway

Sway has experienced an increase in its crime rate, showing a 40.6% increase year-over-year. This indicates a shifting safety situation within the area. Reviewing the monthly crime rate data per 1,000 people, the trend generally shows fluctuations but provides insight into recent patterns. For example, crime rates included October 2024: 6.1, March 2025: 4.5, and September 2025: 1.1. The overarching pattern shows a rise in reported incidents. This increasing trend highlights areas for attention, indicating that Sway is experiencing changes in its safety profile place to live. Continued efforts in community safety and policing likely contribute to these developments, offering a degree of reassurance or highlighting areas for vigilance to those residing in or considering moving to the area.

Crime Time Patterns in Sway

An analysis of crime occurrences throughout the day in Sway reveals distinct patterns across different time periods. During the morning hours (6am - 12pm), the most prevalent crime types include 16% burglary, 25% theft, 17% vehicle, 41% other. As the day progresses into the afternoon (12pm - 6pm), the criminal landscape shifts, with 28% burglary, 28% theft, 6% vehicle, 39% other being prominent. In the evening (6pm - 12am), patterns tend to evolve further, showing 21% burglary, 9% theft, 15% vehicle, 56% other. Finally, the night-time period (12am - 6am) is often characterised by 24% burglary, 4% theft, 34% vehicle, 39% other. These variations provide valuable insights into when certain types of crime are more likely to occur, allowing residents to be more aware during specific parts of the day.

Crime Comparison with Nearby Areas

To understand Sway's crime profile within its local vicinity, it's useful to compare it with similar nearby built-up areas. Tiptoe is a neighbouring community. Mount Pleasant is a neighbouring community. Wootton (New Forest) is a neighbouring community. Sandy Down is a neighbouring community. Analysing Sway alongside these nearby areas helps residents gain a clearer understanding of local crime patterns and relative safety within the immediate region.

Protecting Your Home in Sway

Given Sway's property crime rate of 37.3 per 1,000 people per year, which is above the national average of 33.2, it is important for residents to consider robust home security. Traditional CCTV systems often only provide footage after a burglary has occurred, acting reactively rather than proactively. However, modern AI-powered home security operating systems, like scOS, offer a different approach.

Instead of merely recording an incident, scOS is designed to prevent crime before it happens. Its proactive protection capabilities use multi-camera intelligence to detect threats at the property boundary, rather than after an intruder has gained access. Features such as DVLA vehicle verification can instantly identify suspicious vehicles, while pattern learning distinguishes between family, deliveries, and genuine threats, only alerting you when necessary. This allows for an autonomous response, where lights activate and speakers engage, destroying the element of surprise that burglars rely on. Most burglars make a decision within 60 seconds; a visible and intelligent deterrence system like scOS can make them move on. While DIY systems have their place, a professional-grade solution offers serious protection, shifting the focus from documenting a crime to actively stopping it.