Monthly Crime Statistics

Oxford Crime Rate November 2025 | Monthly Statistics

Oxford recorded 9.1 crimes per 1,000 residents in November 2025, with a 24.7% increase above the UK average. Possession of weapons rose sharply by 125% compared to October.

1,503
Total Crimes
9.1
Per 1,000 People
7.3
UK Average
+0.6%
vs Previous Month

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Oxford’s crime rate for November 2025 stood at 9.1 per 1,000 residents, placing it 24.7% above the UK average of 7.3 per 1,000. This elevated rate reflects the city’s unique demographic and geographic profile as a major university town, where high population density, transient student populations, and vibrant commercial activity contribute to a distinct crime profile. The most prevalent crime types were violence and sexual offences (32.3% of all reported incidents), shoplifting (11.8%), and other theft (10.3%). These figures align with Oxford’s character as a hub for education and tourism, where public order offences and retail-related crimes are likely to be more common than in less populated or industrial areas. Seasonal factors also played a role: the onset of dark evenings, coupled with events like Bonfire Night and the Black Friday shopping period, may have contributed to the higher-than-average rates of violence and shoplifting. However, the data also reveals some unexpected trends, such as the 43% shortfall in anti-social behaviour compared to the UK average, which could indicate effective community policing or a reduction in alcohol-related incidents during the month. The city’s crime picture remains complex, with certain categories—like bicycle theft—far exceeding national averages, while others, such as burglary, show a notable decline. These patterns suggest that local interventions, such as increased surveillance in high-risk areas or targeted awareness campaigns, may be necessary to address the most pressing issues while building on areas of improvement.

November 2025 saw sharp increases in two specific crime categories: possession of weapons jumped by 125% (from 4 to 9 cases), and robbery surged by 109.1% (from 11 to 23 cases). These rises, though not reflected in the overall crime rate, signal potential shifts in criminal activity that may require targeted policing. Meanwhile, anti-social behaviour dropped by 37.8% (from 148 to 92 cases), a decline that could be linked to seasonal factors such as the end of term or reduced outdoor activity during darker evenings. The city’s shoplifting rate (1.1 per 1,000) remains 75% above the UK average, a persistent issue likely tied to Oxford’s retail presence and the influx of shoppers during Black Friday. Bicycle theft, at 0.6 per 1,000, is 900% above the UK average, a stark contrast to the 33% reduction in burglary, which may reflect the effectiveness of local initiatives or changes in criminal focus. These disparities highlight the need for tailored strategies to address specific vulnerabilities in the area.

Oxford’s crime rate remained stable between October and November 2025, with a marginal 0.6% increase from 9.0 to 9.1 per 1,000 residents. This suggests a broadly consistent pattern of criminal activity, though the slight uptick deserves closer attention to emerging trends. On a daily basis, the area experienced approximately 50 reported crimes per day, a figure that aligns with the high density of population and institutions in Oxford. Over the course of November, one reported crime occurred for roughly every 110 residents, highlighting the frequency of incidents in a relatively small geographic area. This monthly exposure rate, while not alarmingly high, underscores the need for continued vigilance, particularly in areas with high foot traffic such as the city centre and university campuses. The local population of 166,034 means that crime rates are amplified by the concentration of students, staff, and visitors, creating a unique environment where certain types of crime—such as theft and public order offences—are more prevalent than in less densely populated regions. This context helps explain why Oxford’s crime profile diverges from the UK average, particularly in categories like shoplifting and violence.

Crime Breakdown - November 2025

Crime TypeCountPer 1,000% of Total
Violence and sexual offences4852.932.3%
Shoplifting1771.111.8%
Other theft1550.910.3%
Public order1270.88.5%
Bicycle theft1030.66.9%
Anti-social behaviour920.66.1%
Criminal damage and arson840.55.6%
Drugs800.55.3%
Vehicle crime670.44.5%
Theft from the person390.22.6%
Burglary360.22.4%
Other crime260.21.7%
Robbery230.11.5%
Possession of weapons90.10.6%

About Our Crime Statistics

Official government data sources for Oxford

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: 12 April 2026

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