Eton Crime Rate

Eton's crime profile is marked by an exceptionally high rate of bicycle theft — 442% above the UK average — despite an overall crime rate that is 2.5% below the national average. This stark contrast highlights the area’s unique vulnerabilities, particularly for cyclists and vehicle owners. While Eton is deemed 'very safe' with a score of 80/100, property crime remains a focal concern, driven by specific patterns tied to the area’s character.

Eton is a historic built-up area within Windsor and Maidenhead, known for its prestigious schools and affluent residential communities. Its proximity to London and status as a commuter hub likely contribute to a mix of demographics, including students, professionals, and families. The area’s low population density and well-maintained infrastructure may explain its overall safety, though property crime remains elevated compared to the UK average, particularly in vehicle and bicycle theft.

Eton's most striking crime statistic is the 442% higher rate of bicycle theft compared to the UK average (4.3 vs 0.8 per 1,000). This is likely due to the area’s popularity with students and commuters reliant on cycling, coupled with limited secure bike storage. Theft from the person is also 210% above the UK average (5.3 vs 1.7 per 1,000), possibly linked to high foot traffic in retail areas. Other theft (10.6 per 1,000) is 76% above the UK average, which may reflect a combination of targeted theft in commercial zones and opportunistic crimes. Vehicle crime (9.9 per 1,000) is 116% above the UK average, driven by parked vehicles in residential areas during evenings and nights.

Crime in Eton has increased by 13.5% year-on-year, with robbery rising sharply by 66.7% — the fastest-growing crime type. This surge may reflect seasonal factors, such as increased outdoor activity during summer months or targeted incidents in specific areas. Robbery’s dramatic increase contrasts with a 32.2% higher property crime rate, which has remained relatively stable. Monthly trends show a peak in July 2025 (11.5 per 1,000/month) and a low in May 2025 (3.7 per 1,000/month), likely influenced by tourism patterns and university term cycles.

How To Keep Safe in Eton

Residents should prioritize securing bicycles with robust locks and avoid leaving them unattended in public areas. Given the 442% above-average rate of bicycle theft, using designated bike storage facilities is strongly advised. For vehicle owners, parking in well-lit, monitored areas and using anti-theft devices for valuables is essential. Theft from the person, 210% above the UK average, requires keeping personal items concealed and avoiding carrying large sums of cash. Community vigilance and reporting suspicious activity through official channels can also help maintain the area’s safety profile.

Crime in Eton follows distinct patterns across the day and week. Theft peaks in the afternoon (59% of incidents between 12pm-6pm), likely tied to retail activity and foot traffic. Vehicle crime spikes at night (51% of incidents between 12am-6am), possibly due to unattended vehicles in residential areas. Anti-social behaviour and other theft are most common in the evening (6pm-12am), aligning with leisure and social activity. Weekends show higher rates, particularly on Saturday, where extended daytime activity and nightlife contribute to elevated crime levels.

Compared to nearby areas, Eton’s crime rate of 88.7 per 1,000 is 20% higher than Eton Wick (73.7) and 8% higher than Datchet (82.1). Slough has the highest rate at 98.2 per 1,000, likely due to its larger urban footprint and commercial activity. Windsor, with a rate of 91.6 per 1,000, is only 3% higher than Eton, reflecting similar socioeconomic factors in both areas.

For Eton residents, addressing the 442% above-average bicycle theft rate is critical, scOS offers AI-powered boundary monitoring that detects and deters intruders before they act, using simultaneous multi-camera coverage to identify threats. Its DVLA vehicle registration verification feature can flag stolen or cloned plates, providing added security for parked vehicles. By learning household patterns, scOS distinguishes regular activity from potential threats, reducing false alarms while ensuring timely responses to genuine risks.