Where our SafeStats data comes from
This page outlines the organisations who share their data with us, and what this data is. We then make this collated data, and our analysis, available to our authorised users.
Metropolitan Police Service (MPS)
The MPS provide us with a monthly dataset, covering crime and disorder offences and incidents in the 32 boroughs in their jurisdiction.
- The data is aggregated (numbered counts for each geographical area) and in most cases is available at borough, ward and sub-ward (LSOA) level
- This data goes back to June 2007 for boroughs, January 2001 for wards, and August 2007 for sub-wards
- This data is extracted by the MPS around the second week of the month following the one they are reporting on. This slight delay may result in small differences between Safestats figures and those released officially, but our data is more up-to-date data
- Crime counts recorded by SO18 (Airports) are not included in SafeStats Data downloads
Other datasets at force-level are publicly available on the London Datastore.
The MPS categories are:
Anti-Social Behaviour: all incidents of anti-social behaviour recorded at ward level on a rolling 2 year basis
Assaults: notifiable offences committed of ABH, assault with injury, common assault, GBH, murder and harassment
Burglary: notifiable offences committed of residential burglary and burglary in other buildings
Criminal Damage: notifiable offences committed of criminal damage to dwellings, motor vehicles, and other buildings
Drugs: notifiable drug offences
Fraud: counts of fraud per victim rather than per offence
Theft and handling: notifiable offences committed of theft from/of motor vehicles, shoplifting, pedal cycle theft, and pickpocketing
Robbery: notifiable offences committed of robbery of personal and business property
Sex Offences: notifiable offences committed of rape and other sexual offences
Weapon Possession: notifiable offence committed of possession of offensive weapon
British Transport Police (BTP)
The BTP provide us with a monthly dataset covering crime and disorder offences and incidents that take place in London’s National Rail and Underground network London (including DLR).
- The data is non-aggregated (so contains data for each of the incidents that make up the overall count)
- The data goes back to June 2001 and is coded to the nearest station (so is also aggregated up to borough level)
The BTP categories are:
Anti-social behaviour: begging, drunken behaviour, stone throwing and trespassing
Assaults: offences such as racially-aggravated assault
Burglary: offences of burglary from transport buildings such as warehouses, booking offices, stores and workshops
Criminal damage: offences such as graffiti
Drugs: offences such as cannabis possession and class A offences
Theft: areas such as theft of business property, pedal cycles, personal property and vehicles
Robbery: offences such as personal robberies
Sex offences: offences such as exposure, sexual assault, rape and other public indecencies
Weapon possession: offences such as possession of an offensive weapon
London Ambulance Service (LAS)
The LAS provide us with a monthly dataset covering all of the incidents to which LAS are called out.
We filter this data to create other useful datasets, such as on violent, alcohol-related, and drug-related incidents and injuries.
This data is especially useful for filling gaps around potentially under-reported crime (such as gang-related activity).
- The data is non-aggregated and so contains the information for each of the incidents that make up the overall count
- The data goes back to April 2001 and is coded to the nearest Output Area, and then aggregated up
- Other useful information available includes the age and sex of the victim
The LAS categories are:
Knife-related: all attendances to incidents where the victim has suffered knife-related injuries
Gun-related: all attendances to incidents where the victim has suffered gun-related injuries
Dog-bite related: all attendances to incidents where the victim has suffered Dog-bite injuries
Drug & alcohol overdoses: all attendances to incidents where the patient has suffered a drug or alcohol overdose
Alcohol-related: all attendances to incidents or injuries where alcohol is determined as a factor
Sexual assault injuries: all attendances to incidents where the victim has suffered injuries consistent with sexual assault
Transport for London (TfL)
TfL provide us with a monthly dataset covering all crime and disorder-related incidents that have occurred on, or are related to, London's buses.
- The data is non-aggregated and so contains the data for each of the incidents that make up the overall count
- The data goes back to April 2001 and is coded to the Easting/Northing point level (and therefore available for all geographic levels)
- Other useful information available includes the bus and its route
The TfL categories are:
Anti-social behaviour: incidents of anti-social behaviour both on and off the bus; youth-related; alcohol-related
Assaults: assaults on staff and passengers, on and off the bus
Criminal damage: incidents of graffiti to buses and other buildings; objects being thrown at buses; other damage to vehicles or buildings (such as bus stops and shelters)
Fraud: broken down into incidents discovered by members of TfL staff and those by Revenue Protection Inspectors
Theft and handling: incidents of pickpocketing, thefts from staff and thefts from passengers
Robbery: incidents of personal robbery, business robbery and robbery of staff and passengers
London Fire Brigade (LFB)
The LFB provide us with a monthly dataset covering all of the incidents that they’re called out to.
- The data is non-aggregated and so contains the data for each of the incidents that make up the overall count
- The data is held for as far back as April 2001 and is coded to the Easting/Northing point level of the location attended (and therefore available for all geographic levels)
The LFB categories are:
Hoax Calls: all call-outs determined as hoax or malicious, representing a form of anti-social behaviour
Arson: all call-outs relating to all deliberate fires, representing a form of anti-social behaviour
Deliberate house fires: all call-outs to the London Fire Brigade relating to house fires started deliberately, representing a form of anti-social behaviour
Accident & Emergency Data
As part of the Home Office Information Sharing to Tackle Violence (ISTV) project, hospitals are encouraged to record additional information at their A&E receptions around the injuries suffered by victims of violence. This is with the aim of then sharing with other public safety bodies to enrich ongoing preventative work and identify new priorities.
SafeStats was chosen by the Home Office to source, store, process and visualise data from over 25 hospitals in London to enable analysis by colleagues in fields from preventative health, emergency medicine and health analytics. By hosting this data within SafeStats, it can be viewed and analysed by users across London alongside over 15 million SafeStats records from the providers listed above.
A unique geocoding priocess has been developed that takes the freetext incident location information and evaluates its potential for address-matching quality, subsequently placing it on a map at point, street centrepoint, electoral ward, or borough level depending on its quality. This information, as well as other fields relating to the incident are available via an interactive web applicaton or in raw data form on the SafeStats Data Forum.
Contact us
Please contact us if you require further information:
- email: [email protected]
- telephone: 020 7983 6561 or 020 7983 4723
- twitter: @safestats
- post: Safestats, Intelligence Unit, Greater London Authority, City Hall, Queens Walk, London, SE1 2AA
Need a document on this page in an accessible format?
If you use assistive technology (such as a screen reader) and need a version of a PDF or other document on this page in a more accessible format, please get in touch via our online form and tell us which format you need.
It will also help us if you tell us which assistive technology you use. We’ll consider your request and get back to you in 5 working days.