Crime Statistics

Over Crime Rate

-12.7%year-over-year

Crime is decreasing and LOW in Over

Over's crime rate is 32.8 per 1,000 residents, boasting a high safety score of 93/100, with a positive decreasing trend.

Overall Crime Rate

32.8
Crimes per 1,000 people
decreasing trend

Property Crime Rate

9.2
Property crimes per 1,000 people
Includes burglary, theft, vandalism

How Over Compares to UK Average

Overall Crime:32.8vs 93.4 UK avg
-60.6 per 1,000 people
Property Crime:9.2vs 33.2 UK avg
-24.0 per 1,000 people

Over's crime rate is significantly lower than UK average

Based on population of 2,926 over 12 months

Crime Statistics Summary for Over

Data last updated: September 2025. Source: Police.uk, ONS, Home Office.

Crime rates per 1,000 people in Over
Overall Crime Rate32.8 per 1,000 people
Property Crime Rate9.2 per 1,000 people
UK Average Crime Rate93.4 per 1,000 people
UK Average Property Crime Rate33.2 per 1,000 people
Safety Score93 out of 100
Population2,926
Trenddecreasing
Comparisonsignificantly lower than UK average
Crime Breakdown by Type in Over
Crime TypeTotal CountPer 1,000 PeoplePercentage of Total
Violence and sexual offences3210.933%
Anti-social behaviour299.930%
Criminal damage and arson113.811%
Burglary93.19%
Vehicle crime41.44%
Other crime313%
Public order313%
Other theft20.72%
Bicycle theft10.31%
Drugs10.31%
Possession of weapons10.31%

Introduction to Crime in Over

Over, a built-up area within South Cambridgeshire, reports an overall crime rate of 32.8 per 1,000 people per year. This figure is significantly lower than the UK average crime rate of 93.4 per 1,000, positioning Over as a very safe community. The area achieves an impressive safety score of 93 out of 100, far exceeding the UK average of 78. Furthermore, Over has experienced a positive trend, with a notable 12.7% decrease in crime year-on-year. This combination of low rates, a high safety score, and a downward trend paints a very reassuring picture for its 2,926 residents.

Over Safety Score

93
Very Safe
Safety Score out of 100

Over has a good safety score compared to the UK average (78).

0-20
20-40
40-60
60-80
80-100

Most Common Crimes in Over

#1

Violence and sexual offences

Percentage:33%
Per 1,000:10.9
Total:32
#2

Anti-social behaviour

Percentage:30%
Per 1,000:9.9
Total:29
#3

Criminal damage and arson

Percentage:11%
Per 1,000:3.8
Total:11
#4

Burglary

Percentage:9%
Per 1,000:3.1
Total:9
#5

Vehicle crime

Percentage:4%
Per 1,000:1.4
Total:4

Protect Against These Threats

scOS security systems are designed to detect and deter the most common crimes in your area, providing 24/7 autonomous protection.

Protect Against These Threats

Crime Type Analysis in Over

In Over, Violence and sexual offences are the most prevalent crime type, accounting for 33.3% of all reported crimes with 32 incidents (10.9 per 1,000 residents). Anti-social behaviour is the second most frequent concern, representing 30.2% of crimes with 29 incidents (9.9 per 1,000). Criminal damage and arson ranks as the third most common crime, contributing 11.5% of the total with 11 incidents (3.8 per 1,000).

When focusing on property-related crime, which includes burglary, theft from person, criminal damage and arson, bicycle theft, vehicle crime, and other theft, Over experiences a very low rate of 9.2 per 1,000 people per year. This is substantially below the UK average property crime rate of 33.2 per 1,000. Specific property crime figures include 11 incidents of criminal damage and arson (3.8 per 1,000), 9 burglaries (3.1 per 1,000), and 4 vehicle crimes (1.4 per 1,000). The low incidence of these crimes signifies a generally secure environment for homeowners and residents. While the overall figures are low, awareness of these particular crime types can help residents maintain vigilance and protect their property effectively.

Crime Types Breakdown

Violence and sexual offences
32 incidents (10.9 per 1,000)
Anti-social behaviour
29 incidents (9.9 per 1,000)
Criminal damage and arson
11 incidents (3.8 per 1,000)
Burglary
9 incidents (3.1 per 1,000)
Vehicle crime
4 incidents (1.4 per 1,000)
Other crime
3 incidents (1 per 1,000)
Public order
3 incidents (1 per 1,000)
Other theft
2 incidents (0.7 per 1,000)
Bicycle theft
1 incidents (0.3 per 1,000)
Drugs
1 incidents (0.3 per 1,000)
Possession of weapons
1 incidents (0.3 per 1,000)

Crime Rate Trend

29.2% change(over 12 months)
Over
UK Average

Compare Over with similar populations

Over has a 64.9% lower crime rate than the UK average.

Crime Trends in Over

Over has experienced a positive crime trend over the last year, with a decrease of 12.7% year-on-year. Reviewing the monthly crime rate per 1,000 residents reveals fluctuations but an overall downward trajectory. The rate started at 2.4 in October 2024, saw a dip to 1.4 in November, before rising to 3.1 in January 2025. After a further dip to 1.7 in April, it showed a peak of 4.1 in July, before ending at 3.1 in September 2025.

Despite the occasional monthly increase, the year-on-year reduction indicates a sustained improvement in safety. This decreasing trend is highly favourable for residents, suggesting that efforts to maintain a secure environment are proving effective. The overall pattern provides reassurance regarding the long-term safety outlook for Over.

When Do Crimes Happen in Over?

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 Over's crime statistics, crime type distribution, and general knowledge of when different crimes typically occur. This is not real historical data for specific times.

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Tuesday
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Crime Likelihood:
Very Low
Low
Moderate
High
Very High

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.

What Types of Crime Happen When in Over?

Different crimes occur at different times. This breakdown shows which crime types dominate each time period.

Based on Crime-Type Weighted Model

Morning

6am - 12pm

Other46%
Burglary24%
Vehicle Crime16%
Theft15%
Violence0%

Morning is characterised by high 'Other' crimes and burglary, with notable vehicle and theft incidents, potentially during commutes.

Afternoon

12pm - 6pm

Other41%
Burglary39%
Theft15%
Vehicle Crime5%
Violence0%

Afternoon sees high 'Other' crimes and burglary, likely targeting properties left unattended during the day.

Evening

6pm - 12am

Other56%
Burglary28%
Vehicle Crime12%
Theft5%
Violence0%

Evening brings a surge in 'Other' crimes and burglary, as properties become vulnerable after dark.

Night

12am - 6am

Other38%
Burglary31%
Vehicle Crime28%
Theft2%
Violence0%

Night-time is dominated by 'Other' crimes and vehicle offences, with notable burglary, when properties are most exposed.

Simulated Data - Crime-Type Weighted Model

These crime patterns are estimated using the Crime Survey for England and Wales (ONS) time-of-day data, weighted by Over's specific crime type distribution from Police.uk. This is not real historical data for specific times in Over, but a model-generated estimate based on the area's crime composition and national timing patterns.

Crime Time Patterns in Over

An analysis of crime patterns throughout the day in Over reveals distinct shifts in activity. During the morning hours (6am-12pm), 'Other' crimes are most prominent, accounting for 46% of crimes, followed by burglary at 24%. Vehicle crime and theft also represent 16% and 15% respectively during this period, suggesting vulnerabilities as residents commute or start their day. As the day progresses into the afternoon (12pm-6pm), 'Other' crimes remain high at 41%, with burglary increasing to 39%, potentially linked to unattended properties during working hours. Theft accounts for 15% in the afternoon.

The evening period (6pm-12am) experiences a notable shift, with 'Other' crimes becoming dominant at 56%, indicating a broader range of incidents beyond specific property crimes. Burglary remains a significant concern at 28%, while vehicle crime is 12%. Theft drops to 5%. Night-time (12am-6am) sees 'Other' crimes account for 38%, and vehicle crime represents 28%, making it a significant threat, likely when vehicles are left unattended. Burglary also represents 31%. These patterns highlight specific times when residents should be particularly vigilant about securing their property and vehicles.

Police Response Times in Over

How quickly do police respond to emergencies?

Grade 1 (Immediate)

Emergency 999 calls requiring immediate attendance — crimes in progress, threat to life, or serious injury.

Grade 2 (Priority)

Serious incidents needing prompt response but no immediate threat to life — recent crimes, vulnerable victims.

Grade 1 - Immediate

Emergency Response

19 minActual
Actual
19 min
Target
15 min
UK Average
15 min
4 min slower than target

Grade 2 - Priority

Priority Response

1h 56mActual
Actual
1h 56m
Target
1h
UK Average
1h
56 min slower than target

Active Officers

1,720

Each = 500 officers

Police Stations

Pending

Station count data is being collected

Why Response Time Matters

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.

2024 data
Mean response times
Source: FOI Request

Crime Comparison with Nearby Areas

To provide regional context for Over's crime statistics, it's helpful to compare it with neighbouring built-up areas. Swavesey, Willingham, Needingworth, and Bluntisham and Colne are all in proximity and offer valuable comparisons. Over's overall crime rate of 32.8 per 1,000, and a property crime rate of 9.2 per 1,000, are likely to be lower than many of these communities, particularly those with higher population densities or more amenities. Smaller, more rural villages might exhibit similarly low crime figures. This comparison helps residents understand Over's position within the local safety landscape, highlighting its relative security and positive decreasing trend.

Why scOS Is Different From Every Other Security System

Traditional systems watch crime happen. scOS stops it from happening.

Sees Everything At Once

AI watches all cameras simultaneously. Never blinks. Never looks away. Impossible to sneak past.

Property line intervention

Knows Every Vehicle

DVLA verification catches fake plates instantly. Suspicious car? You know before they park.

Stop them early

Learns Your Patterns

Recognizes family, delivery times, normal routines. Only alerts you to real threats.

Zero false alarms

Traditional CCTV

  • Records crime as it happens
  • Motion alerts for every shadow, leaf, or car passing by
  • You discover break-in hours later or are in the middle of it
  • Hope police can use the footage

scOS Intelligence

  • Stops threats before they reach your door
  • Intelligent motion alerts — only notifies you of real threats
  • Lights and speakers respond autonomously
  • They turn away before you even know

What used to be impossible is now effortless.

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Protecting Your Property in Over

With Over's very low property crime rate of 9.2 per 1,000 residents and a decreasing overall crime trend, the community is generally very safe. However, even in low-crime areas, proactive security measures remain essential to deter opportunistic criminals. Traditional security solutions, such as basic alarm systems or recording cameras like Ring/Nest, often alert you after a break-in has occurred, providing evidence rather than preventing the crime. For true peace of mind, prevention is key.

An AI-powered home security operating system like scOS offers a superior level of proactive protection. Instead of merely recording, scOS detects threats at your property boundary, stopping criminals before they can even attempt a break-in. Its multi-camera intelligence ensures no blind spots, and features like pattern learning distinguish between routine activities and genuine threats. With autonomous responses like lights and speakers, scOS creates a visible and vocal deterrent, making potential intruders think twice within their critical 60-second assessment window. For Over residents, investing in such professional-grade security reinforces the area's already strong safety profile and ensures your property remains secure against any potential threats.

Ready to stop reading statistics and start protecting what matters?

Understanding Our Data

How we source and verify crime information for Over

4,392+
Areas Covered
19M+
Crime Records
100%
Official Sources

Understanding the Calculations

The crime rate represents the number of recorded incidents per thousand residents in Over. This approach ensures fair comparison regardless of area population size.

Our Information

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.

Formula Used

Crimes per 1k residents = (Total incidents ÷ Population) × 1,000

Our statistics derive entirely from UK government databases:

  • Police.ukCrime records from territorial police forces across England and Wales (43 total)
  • Office for National StatisticsPopulation statistics and the Crime Survey for England and Wales
  • Home OfficeNationwide crime data and official policy records
  • FOI RequestsAdditional statistics obtained via formal requests to police services
Our system covers 4,392+ areas across England and Wales, including major urban centers, towns, and administrative regions. Data for Greater Manchester is currently unavailable. We refresh statistics immediately when official sources publish updates (generally every 8 weeks) and maintain archives for historical analysis.

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.