Monthly Crime Statistics

Stockton-on-Tees Crime Rate February 2023 | Monthly Statistics

Stockton-on-Tees crime rate in February 2023 was 10.5 per 1,000, 52.2% above the UK average. Violence and sexual offences accounted for 33% of all crimes reported.

2,164
Total Crimes
10.5
Per 1,000 People
6.9
UK Average
0%
vs Previous Month

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Stockton-on-Tees recorded a crime rate of 10.5 per 1,000 residents in February 2023, placing it 52.2% above the UK average of 6.9 per 1,000. This figure reflects a significant divergence from national trends, necessitating a closer examination of local factors contributing to the elevated rate. The most prevalent crime category was violence and sexual offences, accounting for 33% of all reported incidents, followed by anti-social behaviour (16.3%) and shoplifting (10.4%). These rates were higher than the UK averages for each category, with violence and sexual offences at 3.5 per 1,000 (42% above the UK average), anti-social behaviour at 1.7 per 1,000 (75% above), and shoplifting at 1.1 per 1,000 (150% above). The winter season, with its associated reduction in outdoor activity, likely plays a role in concentrating interactions in indoor spaces, potentially increasing the risk of violent encounters. Additionally, the town's mix of urban and industrial areas may contribute to higher rates of anti-social behaviour and shoplifting, particularly in commercial districts. The data also reveals a stark contrast in crime patterns compared to the UK, where property crimes typically dominate. In Stockton-on-Tees, violent crimes and anti-social behaviour make up a larger share of the total, suggesting a unique local context. Seasonal factors, such as the pre-spring lull, may also influence crime trends, with February serving as a transition period between the end of winter and the onset of warmer weather. This context is critical for understanding the broader implications of the crime rate and for developing targeted strategies to address specific issues.

February 2023 saw a marked increase in violence and sexual offences, which made up 33% of all crimes reported. This category alone was 42% above the UK average, with a rate of 3.5 per 1,000 residents. The rise in violent crime may be linked to seasonal factors, such as reduced outdoor activity during winter months, potentially concentrating interactions in indoor spaces. Anti-social behaviour also stood out, contributing 16.3% of total crimes and 75% above the UK average. This suggests a persistent challenge in managing public order, exacerbated by local conditions such as high population density or limited community engagement initiatives. Shoplifting, at 1.1 per 1,000 residents, was 150% above the UK average, indicating a significant disparity in retail crime rates. This could be tied to the presence of major shopping areas or commercial hubs in the area, which may attract higher volumes of foot traffic and associated theft opportunities. These findings highlight specific areas for targeted intervention, particularly in reducing violent incidents and addressing retail crime patterns.

Stockton-on-Tees recorded 2164 crimes in February 2023, translating to 77 crimes reported per day. This daily rate provides a tangible sense of the frequency of incidents in the area. Over the course of the month, one reported crime occurred for roughly every 96 residents, highlighting the scale of exposure within the local population. With a population of 206,800, this monthly exposure figure underscores the proportion of residents affected by crime, though it does not account for regional variations in crime distribution. Comparing this to broader UK data, the 10.5 crimes per 1,000 residents in Stockton-on-Tees is 52.2% above the national average of 6.9 per 1,000. This disparity suggests a unique local context, potentially influenced by factors such as urban density, economic conditions, or specific community dynamics that differ from the UK average. The 77 crimes per day figure, while specific to Stockton-on-Tees, offers a clear benchmark for residents to contextualise the volume of incidents relative to their daily lives.

Crime Breakdown - February 2023

Crime TypeCountPer 1,000% of Total
Violence and sexual offences7143.533%
Anti-social behaviour3531.716.3%
Shoplifting2261.110.4%
Criminal damage and arson21319.8%
Public order1610.87.4%
Vehicle crime1220.65.6%
Other theft1160.65.4%
Burglary1130.65.2%
Drugs480.22.2%
Other crime370.21.7%
Bicycle theft180.10.8%
Robbery180.10.8%
Possession of weapons140.10.7%
Theft from the person110.10.5%

About Our Crime Statistics

Official government data sources for Stockton-on-Tees

4,683+
UK Locations Monitored
8.2M+
Data Records
100%
Government Sources

Crime Rate Methodology

We determine crime rates by calculating recorded offences per 1,000 residents. This standardised metric enables meaningful comparisons between different-sized regions across the UK.

Information Sources

Official UK government databases provide all crime and demographic information, including Police.uk for offence records and ONS for population data. Statistics are compiled across town, district, and national boundaries.

Mathematical Formula

Rate per 1,000 = (Offences / Population) × 1,000

We exclusively use official UK government information sources:

  • Police.ukRecorded crime data from England and Wales' 43 territorial police forces
  • Office for National StatisticsDemographic data and Crime Survey statistics
  • Home OfficeNational offence records and crime policy information
  • FOI RequestsSupplementary data from direct police force requests
We monitor crime data across 4,683+ locations throughout England and Wales, covering the majority of significant towns, cities, and county areas. Updates occur promptly following new official data releases (approximately monthly), with historical records preserved for trend tracking.

Contains public sector information licensed under the Open Government Licence v3.0

scOS is not affiliated with or endorsed by these organisations.

Page updated: 6 March 2026

New data is released by Police.uk approximately once a month