Ambulance Call Outs to Animal Attack Incidents

Count of all 'Animal Attack' injuries recorded by London Ambulance Service, per month, per ward in London for a rolling two year period. The London Analysts Support site team (LASS) have developed this dataset in consultation with the Ambulance service to make their data more suitable for crime analysis purposes. Please note: The primary purpose of the London Ambulance Service is to save lives and respond effectively to medical emergencies. The data provided here is an extract of ambulance data which is recorded to monitor their performance to this end. The LASS team work with the ambulance service to extract data suitable for crime analysis professionals, with the aim of causing minimum disruption to frontline services. The 'Animal Attack' data set includes those injuries identified as being caused by an animal. Whilst no specific data are available on the type of animal, we have been advised by the ambulance service that dogs are responsible in the majority of cases. It should be considered that the precision of the crime related information, collected in the process of responding to a 999 call, is of secondary consideration to the need to record accurate medical information, therefore the accuracy of the data may have minor variations over time and in different areas of London. LASS work closely with the London Ambulance Service to ensure that there is no significant impact on the quality of information for crime related purposes. There are ongoing improvements to improve the data collection process. We will be updating the metadata and providing more information in due course. Please contact the LASS team if you have queries or comments, quoting the Datastore project.

Data and Resources

Additional Info

Field Value
Author London Ambulance Service
Maintainer London Analyst Support Site (LASS), Intelligence Unit, Greater London Authority
categories ["Crime and Community Safety"]
date_released July 2011
geographical_coverage Greater London
geographical_granularity Ward
temporal_coverage Monthly counts June 2009 to May 2011
temporal_granularity Quarterly