Monthly Crime Statistics

Kensington and Chelsea Crime Rate October 2023 | Monthly Statistics

Kensington and Chelsea's October 2023 crime rate of 16.8 per 1,000 residents is 110% above the UK average, with property crime dominating the statistics.

2,420
Total Crimes
16.8
Per 1,000 People
8
UK Average
+7.2%
vs Previous Month

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Kensington and Chelsea's October 2023 crime rate of 16.8 per 1,000 residents places it 110% above the UK average, underscoring a significant divergence from national trends. This figure, which is more than double the UK rate, reflects the borough's unique demographic and geographic profile, characterised by a mix of high-value properties, tourist attractions, and densely populated urban spaces. The breakdown of crimes reveals that property-related offences dominate the landscape, accounting for 59% of all incidents, with other theft (18.9%) and anti-social behaviour (16.7%) being the most prevalent categories. These rates are higher than the UK average, with other theft being 416% above the national figure and theft from the person reaching 900% above. The seasonal context of October—marked by darker evenings, the transition to British Summer Time, and Halloween—likely contributes to the elevated property crime rates, as reduced visibility and increased pedestrian activity create opportunities for opportunistic theft. In contrast, violent crime remains relatively low, with violence and sexual offences at 2.7 per 1,000, aligning with the UK average. This suggests that the borough's crime profile is shaped more by environmental factors, such as the presence of high-traffic commercial areas, than by social dynamics typically associated with violent crime. The persistence of property crime despite the area's affluence may indicate vulnerabilities in security measures for retail spaces and private residences, warranting further analysis of local policing strategies and community engagement efforts.

The balance between property and violent crime in October 2023 reveals a stark contrast: property crimes accounted for 59% of all incidents, compared to 16% for violent crimes. This disparity may be attributed to the borough's high concentration of retail and luxury establishments, which are vulnerable to theft and shoplifting. Theft from the person surged by 54%, rising from 137 to 211 incidents, a figure that is 900% above the UK average. This spike could be linked to increased foot traffic during Halloween and the start of the festive season, when tourists and residents may carry more valuables. Meanwhile, public order offences dropped by 21.3%, due to reduced outdoor activity as evenings grew darker. The most significant increase was in possession of weapons, which rose by 60%, though this remains a small portion of overall crime. These shifts highlight the need for targeted interventions in areas with high pedestrian density and during seasonal transitions.

Kensington and Chelsea's crime rate in October 2023 rose by 7.2% compared to the previous month, reflecting a persistent challenge in maintaining low crime levels despite the area's affluent reputation. The daily crime count of 78 incidents per day underscores the frequency of incidents, though this figure must be contextualised within the borough's unique characteristics. Over the course of the month, one reported crime occurred for every 60 residents, a ratio that highlights the density of incidents relative to the population. This monthly exposure rate is higher than the UK average, but the borough's small population and high property values may amplify the visibility of crimes. The shift from September to October also coincides with darker evenings, which may contribute to increased property crime as visibility decreases. However, the population-scaled perspective reveals that the rate of violent crime remains relatively stable, with no significant monthly fluctuations in this category. This contrast between property and violent crime trends suggests that environmental factors, such as lighting and foot traffic patterns, play a more immediate role in shaping crime dynamics than social factors.

Crime Breakdown - October 2023

Crime TypeCountPer 1,000% of Total
Other theft4573.218.9%
Anti-social behaviour4042.816.7%
Violence and sexual offences3932.716.2%
Vehicle crime2401.79.9%
Theft from the person2111.58.7%
Shoplifting14816.1%
Burglary1260.95.2%
Criminal damage and arson1080.84.5%
Public order1070.74.4%
Bicycle theft810.63.4%
Drugs710.52.9%
Robbery560.42.3%
Other crime100.10.4%
Possession of weapons80.10.3%

About Our Crime Statistics

Official government data sources for Kensington and Chelsea

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