Crime is stable and LOW in Great Haywood
Great Haywood BUA's crime rate of 62.1 per 1,000 is stable with a safety score of 84/100, indicating a safe environment. Explore local crime data.
Great Haywood's crime rate is significantly lower than UK average
Based on population of 1,821 over 12 months
Data last updated: September 2025. Source: Police.uk, ONS, Home Office.
| Overall Crime Rate | 62.1 per 1,000 people |
|---|---|
| Property Crime Rate | 13.7 per 1,000 people |
| UK Average Crime Rate | 93.4 per 1,000 people |
| UK Average Property Crime Rate | 33.2 per 1,000 people |
| Safety Score | 84 out of 100 |
| Population | 1,821 |
| Trend | stable |
| Comparison | significantly lower than UK average |
| Crime Type | Total Count | Per 1,000 People | Percentage of Total |
|---|---|---|---|
| Violence and sexual offences | 54 | 29.6 | 48% |
| Public order | 17 | 9.3 | 15% |
| Anti-social behaviour | 17 | 9.3 | 15% |
| Criminal damage and arson | 9 | 4.9 | 8% |
| Other theft | 6 | 3.3 | 5% |
| Vehicle crime | 5 | 2.8 | 4% |
| Burglary | 4 | 2.2 | 4% |
| Robbery | 1 | 0.6 | 1% |
Great Haywood Built-Up Area, with a population of 1,821, records an overall crime rate of 62.1 per 1,000 residents annually. This figure is lower than the UK average of 93.4 per 1,000. The area achieves a safety score of 84/100, which is higher than the national average of 78/100, suggesting a safe environment. Recent trends indicate a stable crime rate, with a 4.6% change year-over-year, setting a context for the detailed data that follows.
Great Haywood has a relatively good safety score compared to the UK average (78).
scOS security systems are designed to detect and deter the most common crimes in your area, providing 24/7 autonomous protection.
Protect Against These ThreatsIn Great Haywood Built-Up Area, the most prevalent crime types are Violence and sexual offences, Public order, and Anti-social behaviour. Violence and sexual offences account for 47.8% of all recorded crimes, followed by Public order at 15.0% and Anti-social behaviour at 15.0%. Property-related crimes, encompassing burglary (4), robbery (1), criminal damage and arson (9), vehicle crime (5), and other theft (6), collectively stand at a rate of 13.7 per 1,000 residents. This figure is lower than the UK average of 33.2 per 1,000, suggesting less prevalent property crime in the area. For residents, this data highlights the importance of awareness regarding personal safety and protecting property.
Great Haywood has a 33.5% lower crime rate than the UK average.
Analysing the crime trends in Great Haywood Built-Up Area reveals a stable picture, with a 4.6% change year-over-year. Over the past twelve months, the monthly crime rate has fluctuated. For instance, rates saw a peak in August 2025 at 10.4 per 1,000, after a low in February 2025 at 0.6 per 1,000. The rate then settled to 3.3 per 1,000 by September 2025. This broadly consistent trend suggests a need for continued monitoring to maintain local safety.
Understanding peak crime times helps you stay vigilant and secure your property when it matters most.
Simulated Data
This heatmap shows estimated crime patterns based on Great Haywood's crime statistics, crime type distribution, and general knowledge of when different crimes typically occur. This is not real historical data for specific times.
Pro Tip: Burglaries peak on weekday evenings (6pm-midnight) and during work hours (10am-3pm) when homes appear empty. scOS smart security stays alert around the clock — detecting threats instantly, whether you're home or away.
Different crimes occur at different times. This breakdown shows which crime types dominate each time period.
6am - 12pm
Morning hours are marked by elevated theft and 'other' crimes, and some burglary, as daily routines begin.
12pm - 6pm
Afternoon sees peak theft and 'other' crimes, reflecting daytime opportunities.
6pm - 12am
Evening hours show a rise in 'other' crimes and some theft, linked to social activity.
12am - 6am
Night-time periods are prone to higher vehicle crime and 'other' crimes when properties are unattended.
These crime patterns are estimated using the Crime Survey for England and Wales (ONS) time-of-day data, weighted by Great Haywood's specific crime type distribution from Police.uk. This is not real historical data for specific times in Great Haywood, but a model-generated estimate based on the area's crime composition and national timing patterns.
An analysis of crime patterns in Great Haywood Built-Up Area reveals distinct trends throughout the day. Morning hours show elevated theft and 'other' crimes, alongside some burglary and vehicle crime. Afternoon crime is dominated by theft and 'other' crimes, with some burglary and vehicle crime. Evening periods see a shift, with a higher percentage of 'other' crimes, indicating social activities or anti-social behaviour, alongside some theft and vehicle crime. Night hours are characterised by higher vehicle crime and 'other' crimes, suggesting opportunistic offences when properties are less attended.
14.5 miles
13.2 miles
6.5 miles
8.7 miles
12.5 miles
9.1 miles
How quickly do police respond to emergencies?
Emergency 999 calls requiring immediate attendance — crimes in progress, threat to life, or serious injury.
Serious incidents needing prompt response but no immediate threat to life — recent crimes, vulnerable victims.
Emergency Response
Priority Response
Each = 500 officers
Station count data is being collected
The average burglary takes just 8-10 minutes. Even when police respond quickly, burglars are often gone before anyone arrives.
scOS spots trouble the moment it starts — your lights come on, sirens sound, and you get an alert on your phone. Burglars don't stick around when they've lost the element of surprise.
To provide a broader perspective, we can compare Great Haywood Built-Up Area's crime statistics with those of its surrounding areas. Great Haywood BUA has an overall crime rate of 62.1 per 1,000 residents. In comparison, Little Haywood records 35.5, Milford (Stafford) has 36.3, Brocton stands at 29.7, and Hixon at 58.7 per 1,000. This regional overview helps to contextualise the local crime landscape and provides valuable insights for residents and those considering moving to the area.
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Get Started with scOSUnderstanding crime statistics, particularly property crime, is the first step towards enhancing your home's security. In Great Haywood Built-Up Area, property-related crimes stand at 13.7 per 1,000 residents, which is lower than the national average. While traditional security measures like CCTV record incidents, they often provide footage of a burglary rather than preventing it. Proactive protection is key to truly safeguarding your home. Systems like scOS utilise AI to detect threats at your property boundary, stopping potential intruders before they gain entry. This multi-camera intelligence watches all areas simultaneously, learning your routines to distinguish genuine threats from everyday activity. By activating lights and engaging speakers, scOS creates an element of surprise that often deters burglars within their critical 60-second decision window. Choosing professional-grade equipment signals serious protection, making your property a less attractive target compared to homes with reactive, after-the-fact systems.
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How we source and verify crime information for Great Haywood
The crime rate represents the number of recorded incidents per thousand residents in Great Haywood. This approach ensures fair comparison regardless of area population size.
All statistics come from official government sources: Police.uk provides recorded crime data while the Office for National Statistics supplies population figures. We aggregate data at multiple geographic levels for context.
Crimes per 1k residents = (Total incidents ÷ Population) × 1,000
Our statistics derive entirely from UK government databases:
Contains public sector information licensed under the Open Government Licence v3.0
Last updated: September 2025
New data is released by Police.uk approximately every two months
Spotted incorrect data or something that doesn't look right? Let us know and we'll investigate.