In 2024/25, there were ****** burglary offences recorded in London, a decline when compared with the previous reporting year. During the provided time period, the reporting year with the most burglary offences recorded was 2018/19, when there were approximately ****** burglaries.

There were ****** robbery offences recorded by the police in London in 2024/25, compared with ****** in the previous reporting year, the peak for robbery offences in London during the provided time period.

There were ******* theft offences recorded by the police in London in 2024/25, which was the highest amount of theft offences in the UK capital during this provided time period.

Part of Release: Official Sub-Ward, Ward and Borough level crime counts. This is the most accurate data available for counting numbers of crimes in London according to official recorded crime types, by the month the offence occurred, and by either borough, ward or sub ward location. The page contains the LSOA level file (Pre-2015 data in the 'archive' file) Click here for corresponding ward level data: Recorded Crime Summary Data for London: Ward Level Click here for corresponding borough level data: Recorded Crime Summary Data for London: Borough Level ‘Sub-Ward data’ counts the number of crimes in each sub ward area of London (Census Lower Super Output Area or LSOA) per month according to crime type. Use this data if you need to analyse crime data at a sub ward level. Because not all crimes can be matched to a specific LSOA area, you should not use this data set to count crimes by ward or borough. For these purposes use one of the other datasets according to the level of geographic precision you need. The categories of crime counts within them may change from time to time. Below is a list of the crime types you can currently extract (*only at borough or ward level): Minor Category: Major Category Murder: ViolenceAgainstThePerson CommonAssault: ViolenceAgainstThePerson OffensiveWeapon: ViolenceAgainstThePerson Harassment: ViolenceAgainstThePerson Otherviolence: ViolenceAgainstThePerson AssaultWithInjury: ViolenceAgainstThePerson WoundingGBH: ViolenceAgainstThePerson PersonalProperty: Robbery BusinessProperty: Robbery BurglaryInADwelling: Burglary BurglaryInOtherBuildings: Burglary TheftOrTakingOfMotor: TheftAndHandling TheftFromMotor: TheftAndHandling MotorInterferenceAndTampering: TheftAndHandling TheftFromShops: TheftAndHandling TheftOrTakingOfPedalCycles: TheftAndHandling OtherTheftPerson: TheftAndHandling OtherTheft: TheftAndHandling HandlingStolenGoods: TheftAndHandling CriminalDamageToADwelling: CriminalDamage CriminalDamageToOtherBldg: CriminalDamage CriminalDamageToMotor: CriminalDamage OtherCriminalDamage: CriminalDamage DrugTrafficking: Drugs PossessionOfDrugs: Drugs OtherDrugOffences: Drugs GoingEquipped: OtherNotifiableOffences OtherNotifiable: OtherNotifiableOffences (NB. no Sexual Offences data is included at LSOA level for disclosure purposes) Each row of data in the data sets contains: *The number of incidents according to the Month Recorded, the specific crime type, and the Location *The Month Recorded *The broad crime type (Major HO category – eg Robbery) *The specific crime type (Minor HO category – eg Robbery: Personal Property) *The Location (Sub –Ward, Ward or borough depending on the data set selected)

This data counts the number of crimes at two different geographic levels of London (LSOA and borough) by year, according to crime type. Includes data from 2008 to present. Crime categories are included in the BigQuery table description. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

The crime rate in London was 106.4 crime offences per thousand people for the 2024/25 reporting year, compared with 105.8 in the previous year. Between 2015/16 and 2019/20, the crime rate in the UK capital increased in every reporting year. The sudden drop in 2019/20 was due to the COVID-19 pandemic causing a sharp reduction in certain types of crime, such as robbery and theft. Crime patterns in the capital Overall there were 951,803 crimes reported by the police in London in 2024/25, compared with 938,020 in the previous reporting year. Types of crime that have increased recently include violent crimes, shoplifting, and theft from the person offences. One positive is that the number of homicide offences in London has fallen to much lower levels than seen in the late 2010s. Additionally, the Metropolitan Police force area has a lower crime rate than many of the UK's other major police forces, such as West Yorkshire, Greater Manchester, and South Yorkshire. Police recruitment drive ends era of cuts  The rise in crime in London happened alongside a decline in both personnel and funding for the London Metropolitan Police. Compared with 2010 for example, there were around 3,000 fewer police officers in 2018, while annual funding was reduced to around 3.3 billion pounds between 2013/14 and 2018/19, compared with 3.62 billion in 2012/13. These cuts were due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police. In 2024/25, the budget for the Metropolitan Police was over five billion pounds, while the number of officers in 2024 increased to around 35,310.

Extract from GLA Release: Official Sub-Ward, Ward and Borough level crime counts. This page contains the ward level data file for London Borough of Barnet Click here for corresponding LSOA level data: Recorded Crime Summary Data for London: LSOA Level Click here for corresponding Borough level data: Recorded Crime Summary Data for London: Borough Level ‘Ward data’ counts the number of crimes in each ward area of London Borough of Barnet per month, according to crime type. Use this data if you need to analyse crime data according to the location of geographic wards. Because not all crimes can be matched to a ward area, you should not use this data set to count crimes by borough. For this purpose use the Borough level dataset linked to above. ‘Borough data’ counts the number of crimes in each borough area of London per month, according to crime type. Each of the data sets will contain the latest two years of data available. The categories of crime counts within them may change from time to time. Below is a list of the crime types you can currently extract (only at borough or ward level): Minor Category: Major Category Murder: ViolenceAgainstThePerson CommonAssault: ViolenceAgainstThePerson OffensiveWeapon: ViolenceAgainstThePerson Harassment: ViolenceAgainstThePerson Otherviolence: ViolenceAgainstThePerson AssaultWithInjury: ViolenceAgainstThePerson WoundingGBH: ViolenceAgainstThePerson Rape: SexualOffences OtherSexual: SexualOffences PersonalProperty: Robbery BusinessProperty: Robbery BurglaryInADwelling: Burglary BurglaryInOtherBuildings: Burglary TheftOrTakingOfMotor: TheftAndHandling TheftFromMotor: TheftAndHandling MotorInterferenceAndTampering: TheftAndHandling TheftFromShops: TheftAndHandling TheftOrTakingOfPedalCycles: TheftAndHandling OtherTheftPerson: TheftAndHandling OtherTheft: TheftAndHandling HandlingStolenGoods: TheftAndHandling CountedPerVictim: FraudOrForgery OtherFraudAndForgery: FraudOrForgery CriminalDamageToADwelling: CriminalDamage CriminalDamageToOtherBldg: CriminalDamage CriminalDamageToMotor: CriminalDamage OtherCriminalDamage: CriminalDamage DrugTrafficking: Drugs PossessionOfDrugs: Drugs OtherDrugOffences: Drugs GoingEquipped: OtherNotifiableOffences OtherNotifiable: OtherNotifiableOffences Each row of data in the data sets contains: The number of incidents according to the Month Recorded, the specific crime type, and the Location The Month Recorded The broad crime type (Major HO category – eg Robbery) The specific crime type (Minor HO category – eg Robbery: Personal Property) The Location (Sub –Ward, Ward or borough depending on the data set selected)

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

In 2023/24 there were 56,263 burglary offences recorded in London, an increase when compared with the previous reporting year. During the provided time period, the reporting year with the most burglary offences recorded was 2018/19, when there were approximately 81,463 burglaries.

Please refer here for further information.

Context:

Crime in major metropolitan areas, such as London, occurs in distinct patterns. This data covers the number of criminal reports by month, LSOA borough, and major/minor category from Jan 2008-Dec 2016.

Content:

13M rows containing counts of criminal reports by month, LSOA borough, and major/minor category.

Acknowledgements:

Txt file was pulled from Google Cloud Platform and converted to csv. Photo by James Sutton.

Inspiration:

Are there seasonal or time-of-week/day changes in crime occurrences? Any boroughs where particular crimes are increasing or decreasing? Policy makers use this data to plan upcoming budgets and deployment--can you use previous year crime reports to reliably predict later trends? If you normalize by borough population, can you find any areas where crime is more or less likely?

Number of crimes and crime rate by type of public transport, including bus, LU / DLR, London Overground, and London Tramlink. Monthly data released 3 months at a time at end of each quarter.

The BTP is responsible for policing the rail network in London, including the TfL managed London Underground (LU), the Docklands Light Railway (DLR), London Tramlink and the London Overground (LO) services. Crime figures for the LU, DLR, London Tramlink and LO have been provided by the BTP. Crime figures for LU and DLR are reported together as these networks are policed by the same division of the BTP. The BTP only deals with crime relating to the rail and Tramlink network

The MPS is responsible for policing the rest of London’s transport network, including the bus network. The figures reported for the bus network are based on official MPS figures for bus-related crime unless otherwise stated.

There is no distinct category of ’bus crime’ in the MPS crime recording system. Recorded crime data is extracted from the MPS system using a complex query that searches all MPS crime for transport venue codes and those that have the word bus, bus stop, bus station and transport related words somewhere in the electronic case file. For this reason, some crimes that did not occur on the bus network will be included in the figures. This is different from the BTP as all crimes dealt with by the BTP and included on their crime recording system relate directly to the rail network.

The crime volume and rate figures displayed by month are accurate according to the month they were extracted from police and TfL systems and are subject to revision due to late reporting of crimes and adjustment of crime and passenger figures. The full financial year total of figures will differ slightly as they will reflect the most accurate and up to date crime and passenger data available; hence the monthly figures here should not be used to generate full financial year totals. The adjusted financial year figures are published in the annual TfL Crime Statistics Bulletin available here.

Data will be updated on a quarterly basis, showing monthly breakdowns of crime volume and rate of crime per million passenger journeys. The rate of crime per million passenger journeys is calculated by the dividing the volume of crimes by the number of passenger journeys multiplied by one million.

A crime rate per million passenger journeys was unavailable for London Overground prior to April 2011 due to lack of accurate passenger journey information across the entire London Overground network.

Given the paramount impacts of COVID-19 on people’s lives in the capital of the UK, London, it was foreseeable that the city’s crime patterns would have undergone significant transformations, especially during lockdown periods. This study aims to testify the crime patterns’ changes in London, using data from March 2020 to March 2021 to explore the driving forces for such changes, and hence propose data-driven insights for policy makers and practitioners on London’s crime deduction and prevention potentiality in post-pandemic era. (1) Upon exploratory data analyses on the overall crime change patterns, an innovative BSTS model has been proposed by integrating restriction-level time series into the Bayesian structural time series (BSTS) model. This novel method allows the research to evaluate the varied effects of London’s three lockdown periods on local crimes among the regions of London. (2) Based on the predictive results from the BSTS modelling, three regression models were deployed to identify the driving forces for respective types of crime experiencing significant increases during lockdown periods. (3) The findings solidified research hypotheses on the distinct factors influencing London’s specific types of crime by period and by region. In light of the received evidence, insights on a modified policing allocation model and supporting the unemployed group was proposed in the aim of effectively mitigating the surges of crimes in London.

This dataset contains on street crimes provided by the Police via their API (https://data.police.uk/docs/). The data is clipped to the London Borough of Camden boundary, and can contain up to fifteen types of street crime including bicycle theft, shoplifting and criminal damage. The London Borough of Camden does not maintain the content of this dataset.

Understanding the evidence has been critical in supporting the development of the draft Police and Crime Plan.

The overarching aim of this product is to provide an overview of the potential policing and crime challenges London can expect to encounter over the coming years and insights in how to respond effectively to these.

Recorded crime figures for CSP areas. Number of offences for the last two years, percentage change, and rates per 1,000 population for the latest year.