The crime rate in London was 105.8 crime offences per thousand people for the 2023/24 reporting year, compared with 100.9 in the previous year. Between 2015/16 and 2019/20 the crime rate in the UK capital increased in every reporting year, with the sudden drop seen in 2019/20 due to the COVID-19 pandemic causing a sharp reduction in certain types of crime such as robbery and theft. Police record over 938,00 crimes in 2023/24 The number of crimes reported by the police in London was 938,020 in 2023/24, compared with 887,870 in the previous reporting year. Although there was a slight dip in overall recorded crime in the aftermath of the pandemic, this was not the case for violent crimes which have risen consistently. One positive is that the number of homicide offences in 2023/24 has remained beneath the 159 reported in 2017/18. 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 Merseyside. 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due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police.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 2023/24, the budget for the Metropolitan Police was 4.53 billion pounds, while the number of officers in 2023 increased to around 34,900.

There were ******* violent crime offences recorded by the Metropolitan Police and City of London Police Forces in London in 2023/24 an increase when compared with the previous reporting year. From a low of ******* violent crimes in 2015/16, violent crime has increased in almost every year. This reflects a pattern of increasing violent crime replicated across England and Wales as a whole, with a peak of *** million offences reported in 2022/23. Overall offences also rising The overall crime figures for London also show a trend of increasing crime in the UK capital. In 2015/16 for example, there were ******* crimes recorded in London, compared to ******* in 2023/24. This follows a similar pattern seen in the rest of the United Kingdom, which has witnessed an uptick in crime after reaching historic lows in the mid-2010s. In 2013/14 for example, there were approximately ** crimes per 100,000 people in England and Wales, compared with **** in 2023/24. Police budgets rising again Due to the austerity policies enacted by UK governments in the 2010s, the amount the UK government spent on the police was effectively frozen between 2013/14 and 2016/17. This policy has since been reversed, with the overall UK police budget reaching **** billion pounds in 2022/23. The amount budgeted for the Metropolitan Police by the Mayor of London for 2023/24 was **** billion British pounds, a significant increase on the **** billion budgeted in 2018/19.

There were 938,020 crimes recorded in London in the 2023/24 reporting year, compared with 887,870 in the previous year. During this time period, crime in London increased steadily, with the figure of 912,487 in 2019/20 a previous peak when there were approximately 102.4 crimes per 1,000 people taking place in the UK capital, compared with 105.8 crimes per 1,000 people in the most recent year. What types of crime are rising? Compared with crime levels before the COVID-19 pandemic, some types of crime have yet to reach the same levels they were at in the 2019/20 reporting year. The number of criminal offences related to theft and drugs, are slightly down in 2023/24 when compared with pre-pandemic trends. On the other hand, the number of violent crimes reached a peak of 252,545 offences in 2023/24, while the number of sexual offences in London since 2021/22 has been far higher than in previous years. London compared to the rest of UK While the UK capital receives extensive coverage for its crime problems, the increase in crime there is part of a wider trend afflicting the rest of the country. The overall crime rate for England and Wales in 2023/24 was 89.7 crimes per 1,000 people, slightly lower than in 2022/23, when the crime rate was the highest since 2006/07. Additionally the Metropolitan Police, the police service responsible for policing Greater London had the sixth-highest crime rate among police force areas with Cleveland police force in North East England having the highest.

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

Dataset

This dataset was created by maggie

Contents

Part of Release: Official Sub-Ward, Ward and Borough level crime counts. Choose from the three data sets (‘Sub-Ward data’, ‘Ward data’ or ‘Borough data’) according to your requirements. This page contains the borough level data files Click here for corresponding LSOA level data: Recorded Crime Summary Data for London: LSOA Level Click here for corresponding ward level data: Recorded Crime Summary Data for London: Ward Level ‘Borough data’ counts the number of crimes in each Local Authority area of London per month, according to crime type. Use this data if you need to analyse crime data according to the location of geographic boroughs. 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)

Violence against others was the most common type of crime on the London Underground. In the financial year 2020/21, 1,959 such incidences were reported, meaning a prominent decrease from previous years due to the COVID-19 pandemic.

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.

Crime Rates of offences per thousand population, by broad crime grouping, by financial year for wards.

Offences: These are confirmed reports of crimes being committed. All data relates to "notifiable offences" - which are designated categories of crimes that all police forces in England and Wales are required to report to the Home Office.

Ward data should not be aggregated to give a borough or London total. This is because a small percentage (less than 5%) of crimes in this dataset have not been geocoded to a ward. Therefore total numbers and rates are indicative only, and are not an exact measure at ward level.

The rate is calculated using ward GLA 2012-based (SHLAA) population projections, and population data calculated and constrained to 2012 Borough (SHLAA) projections.

The London figure only includes the Met Police area, not the City of London.

The London total includes all offences in the Met Police Area including those that could not be geocoded. Therefore the London total will not equal the sum of the wards.

Some ward boundaries changed in 2014. From 2013/14 the data shown is for the new boundaries. This only affects Hackney, Kensington and Chelsea, and Tower Hamlets. From 2013/14, the numbers and rates for 2013 ward boundaries in Hackney, K&C and Tower Hamlets, have all been modelled based on the proportion of population living in each area at the 2011 Census.

Action Fraud have taken over the recording of fraud offences on behalf of individual police forces. This process began in April 2011 and was rolled out to all police forces by March 2013. Due to this change caution should be applied when comparing data over this transitional period and with earlier years.

Data by detailed crime group and month are available from the MPS website.

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.

Crime incident counts and rates per million passenger journeys broken down by transport type.

This data is sourced from the TFL Open Datastore and reconstructed into a more user-friendly format.

metadata.csv contains all relevant information about how the data is sourced, collected, and distributed.

Notes:

*Underground rates and volume numbers include DLR (Docklands Light Railway) through March 2017.

In 2022/23, there were 16,935 crimes reported by passengers on the London Underground. This was the second highest figure in the period of consideration. Theft of passenger property was the most common violation on the Tube.

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 .

This statistic shows the number of police recorded crime offences in London (UK) from January, 2015 to December 2015, by offence group. Violence against the person was the most common offence, with over 939 thousand incidents occurring over this twelve month period, followed by fraud offences and criminal damage and arson.

Dataset

This dataset was created by Ndaruga

Contents

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 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.