Data about the vehicles involved in reported road accidents, produced by Department for Transport.

Includes:

Vehicles involved in reported road accidents (Excel data tables) Vehicles involved in accidents since 1979 Vehicles involved in accidents by type of vehicle and accident Vehicles involvement rates Drivers in accidents

Context

UK police forces collect data on every vehicle collision in the uk on a form called Stats19. Data from this form ends up at the DfT and is published at https://data.gov.uk/dataset/road-accidents-safety-data

Content

There are 3 CSVs in this set. Accidents is the primary one and has references by Accident_Index to the casualties and vehicles tables. This might be better done as a database.

Inspiration

Questions to ask of this data -

• combined with population data, how do different areas compare?
• what trends are there for accidents involving different road users eg motorcycles, peds, cyclists
• are road safety campaigns effective?
• likelihood of accidents for different groups / vehicles
• many more..

Manifest

dft05-15.tgz - tar of Accidents0515.csv, Casualties0515.csv and Vehicles0515.csv tidydata.sh - script to get and tidy data.

Road Safety Statistics releases [missing hyperlink]

Data download tool [missing hyperlink] for bespoke breakdowns of our data.

These files provide detailed road safety data about the circumstances of personal injury road accidents in GB from 1979, the types of vehicles involved and the consequential casualties. The statistics relate only to personal injury accidents on public roads that are reported to the police, and subsequently recorded, using the STATS19 accident reporting form.

There has been an increasing demand for more up to date information on reported road accidents to be made available to the public, stakeholders and researchers. As a result, the Department for Transport made a dataset covering accidents for the first and second quarters of 2018 in Great Britain available for the first time on data.gov.uk. The data released was an un-validated subset and has been superseded by the full accident dataset for 2018, released after validation for the full year.

All the data variables are coded rather than containing textual strings. The lookup tables are available in the "Additional resources" section towards the bottom of the table.

Please note that the 2015 data were revised on the 29th September 2016. Accident, Vehicle and Casualty data for 2005 - 2009 are available in the time series files under 2014. Data for 1979 - 2004 are available as a single download under 2004 below.

Also includes: Results of breath-test screening data from recently introduced digital breath testing devices, as provided by Police Authorities in England and Wales Results of blood alcohol levels (milligrams / 100 millilitres of blood) provided by matching coroners’ data (provided by Coroners in England and Wales and by Procurators Fiscal in Scotland) with fatality data from the STATS19 police data of road accidents in Great Britain. For cases when the Blood Alcohol Levels for a fatality are "unknown" are a consequence of an unsuccessful match between the two data sets.

Context

These files provide detailed data about the circumstances of personal injury road accidents in Great Britain from 2005 onwards, the types of vehicles involved and the consequential casualties. The statistics relate only to personal injury accidents on public roads that are reported to the police, and subsequently recorded, using the STATS19 accident reporting form. Information on damage-only accidents, with no human casualties or accidents on private roads or car parks are not included in this data.

Content

A list of the variables contained in the files can be found at:

http://data.dft.gov.uk/road-accidents-safety-data/Road-Accident-Safety-Data-Guide.xls

As well as giving details of date, time and location, the accident file gives a summary of all reported vehicles and pedestrians involved in road accidents and the total number of casualties, by severity. Details in the casualty and vehicle files can be linked to the relevant accident by the “Accident_Index” field. The Longitude and Latitude data is based on WGS 1984.

Acknowledgements

https://data.gov.uk/dataset/road-accidents-safety-data

Inspiration

This is with 2016 data in addition to https://www.kaggle.com/silicon99/dft-accident-data

Overall numbers of persons killed or seriously injured in road accidents with breakdowns by road user type and for children and the elderly Source: Department for Transport (DfT), Statistics Roads Division (SR) Publisher: Neighbourhood Statistics Geographies: Local Authority District (LAD), Government Office Region (GOR), National Geographic coverage: England and Wales Time coverage: 1999 to 2003 Type of data: Administrative data

Data about reported road accidents, produced by Department for Transport.

Includes:

Reported personal injury road accidents (Excel data tables) Accidents by severity since 1979 Accidents by type of accident Accidents by number of casualties and vehicles involved Accidents by region, local authority and parliamentary constituency

The total number of people killed or seriously injured (KSI) in road traffic collisions. Source: Department for Transport (DfT): Road Casualties Publisher: DCLG Floor Targets Interactive Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: England Time coverage: 1997 to 2007 Type of data: Administrative data

The following datasets contain detailed information on road accidents happened in the UK from 2016 - 2020, let it be involving pedestrians, cyclists, car passengers and drivers, etc.

Credit to Department for Transport (DfT) United Kingdom to provide the datasets. These can also be publicly accessed via https://data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data

This data has been consolidated from Victoria Police reports and Hospital injury information, then validated and enriched to provide a comprehensive and detailed view of road crashes and injuries across Victoria. The data provides users with information about Victorian fatal and injury road crash data based on time, location, conditions, crash type, road user type, and other relevant attributes. Data Currency This information will be updated on a monthly basis but with a 7 month lag in order to provide a comprehensive view of incidents during that time period. Data Structure The CSV data is split across multiple tables with attributes to facilitate joins between the information. This has been captured as part of the supporting documentation in the metadata. The tables and attributes include: - accident (basic accident details, time, severity, location) - person (person based details, age, gender etc) - vehicle (vehicle based data, vehicle type, make etc) - accident_event (sequence of events e.g. left road, rollover, caught fire) - road_surface_cond (whether road was wet, dry, icy etc) - atmospheric_cond (rain, winds etc) - sub_dca (detailed codes describing accident) - accident_node (master location table - NB subset of accident table) - Node Table with Lat/Long references There is also a lite Victoria Road Crash .csv dataset is a single flat file containing a subset of the attributes from the other CSV files. It provides a single set of attributes for each road crash that has occurred within Victoria. Supporting documentation in the metadata will provide further details of the attributes. This used to be a .GeoJSON file however due to feedback from a significant number of Open Data users, this was changed to a .csv file. Disclaimer No claim is made as to the accuracy or currency of the content on this site at any time, there will be instances where attributes relating to a crash are amended over time. This data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. Data relating to fatal crashes that have occurred recently are provisional and are subject to change or removal. They will have a high level of incompleteness and details will be amended before they are finalised. The Victorian Government and Department of Transport and Planning accept no liability to any person or group for the data or advice (or the use of such data or advice) which is provided or incorporated into it by reference.

The total number of children (under 16) killer or seriously injured (KSI) in road traffic collisions. Source: Department for Transport (DfT): Road Casualties Publisher: DCLG Floor Targets Interactive Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: England Time coverage: 1997 to 2007 Type of data: Administrative data

This dataset captures detailed statistics about road accidents in Glasgow from 2014 to 2021. The data relate to the location, built environment and level of injury for each accident, along with numbers of casualties and vehicles involved. The statistics relate only to personal injury accidents on public roads that are reported to the police, and subsequently recorded, using the STATS19 accident reporting form. Data are released via the UK Department for Transport and can be found at the UK Government Data portal data.gov.uk.

Context

The UK government amassed traffic data from 2000 and 2016, recording over 1.6 million accidents in the process and making this one of the most comprehensive traffic data sets out there. It's a huge picture of a country undergoing change.

Note that all the contained accident data comes from police reports, so this data does not include minor incidents.

Content

ukTrafficAADF.csv tracks how much traffic there was on all major roads in the given time period (2000 through 2016). AADT, the core statistic included in this file, stands for "Average Annual Daily Flow", and is a measure of how activity a road segment based on how many vehicle trips traverse it. The AADT page on Wikipedia is a good reference on the subject.

Accidents data is split across three CSV files: accidents_2005_to_2007.csv, accidents_2009_to_2011.csv, and accidents_2012_to_2014.csv. These three files together constitute 1.6 million traffic accidents. The total time period is 2005 through 2014, but 2008 is missing.

A data dictionary for the raw dataset at large is available from the UK Department of Transport website here. For descriptions of individual columns, see the column metadata.

Acknowledgements

The license for this dataset is the Open Givernment Licence used by all data on data.gov.uk (here). The raw datasets are available from the UK Department of Transport website here.

Inspiration

• How has changing traffic flow impacted accidents?
• Can we predict accident rates over time? What might improve accident rates?
• Plot interactive maps of changing trends, e.g. How has London has changed for cyclists? Busiest roads in the nation?
• Which areas never change and why? Identify infrastructure needs, failings and successes.
• How have Rural and Urban areas differed (see RoadCategory)? How about the differences between England, Scotland, and Wales?
• The UK government also like to look at miles driven. You can do this by multiplying the AADF by the corresponding length of road (link length) and by the number of days in the years. What does this tell you about UK roads?

Annual road casualty statistics are published twice each year. Main results are published in June for the first release of key statistics, and the annual report is released in September for detailed data and analyses. Most of the statistics are based on road accidents reported to the police (Stats19). These provide detailed statistics about personal injury road accidents, vehicles and casualties involved.

Statistics and data about reported accidents and casualties on public roads in Great Britain.

This table contains data on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode, for California, its regions, counties, county divisions, cities/towns, and census tracts. Injury data is from the Statewide Integrated Traffic Records System (SWITRS), California Highway Patrol (CHP), 2002-2010 data from the Transportation Injury Mapping System (TIMS) . The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity]. Transportation accidents are the second leading cause of death in California for people under the age of 45 and account for an average of 4,018 deaths per year (2006-2010). Risks of injury in traffic collisions are greatest for motorcyclists, pedestrians, and bicyclists and lowest for bus and rail passengers. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience 4 times the death rate as Whites or Asians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.