SafeStats

About SafeStats

Since 2008 the Greater London Authority have been collecting, collating and making available a range of crime and public safety data from different organisations securely to London’s community safety professionals, through the SafeStats project. Where possible, data that is suitable for public disclosure is also placed publicly on the London Datastore.

 

These data are important to both the public and professionals working in this area, to enable a better understanding of not just reported crime in London, but also the large volume of incidents and offences that go unreported.

 

**Starting in March 2018, the SafeStats project is undergoing a significant redevelopment - please visit the redevelopment page for the latest updates**

 

SafeStats holds over 15 million records, updated monthly, from the Metropolitan Police Service, London Ambulance Service, Transport for London, London Fire Brigade, British Transport Police, and Hospital Emergency Departments. Click on any of the headings below to learn more.

 

Users range from those working in the organisations that supply data above, through to the various areas of safety and health within Local Authorities. Common examples of how the  are used include strategic assessments, project evaluation, tactical planning, licensing decisions, and problem-solving. An example commonly seen is the multi-agency approach to knife-crime, utilising the London Ambulance Service and A&E Emergency Department data to supplement that of the Metropolitan Police Service to better understand potential areas of youth violence underreporting. 

 

For those authorised for secure access, the individual datasets can be interrogated in their rawest format through our simple download tool, SafeStats Query. For those wishing to view the public versions of the data, visit the London Datastore pages here.

 

The SafeStats project also acts as a way of bringing together the community of professional users, enabling networking and sharing opportunities through the SafeStats Forum.

For access, please visit the Contact & Access page.

Metropolitan Police Service data

The Metropolitan Police Service 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 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 available separately in SafeStats downloads and are amalgamated into the data for Hillingdon.

The categories are:

 

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

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

London Ambulance Service data

The London Ambulance Service provide us with a monthly dataset covering all of the vehicle dispatches to incidents to which they are called out. Additionally, working with the Service, a number of filtered datasets have been created:

  • A de-duplicated file of only incidents, filtered to show potential assaults. Assaults are categorised to show those with knife, gun, weapon and sexual injuries.  
  • Drug-related
  • Alcohol-related

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 dispatches that make up the overall count. The data goes back to April 2001 and is coded to the nearest Output Area, and then aggregated to larger geographies. Other useful information available includes the age and sex of the victim. 

Transport for London data

Transport for London 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 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 data

The London Fire Brigade 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 categories include:

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

British Transport Police data

The British Transport Police 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 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

Hospital Emergency Departments data

As part of the Information Sharing to Tackle Violence (ISTV) project funded by the Mayors Office for Policing and Crime (MOPAC), hospitals are encouraged to record information about the location of violent assaults (where these take place in public). Previous research has shown that sharing this information along with anonymised data about the time/date and type of injury and method of attack can be used by the police and 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 process 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 the ISTV interface or in raw data form on the SafeStats Query Forum