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 The data released was an un-validated subset and has been superseded by the full accident dataset for 2018, released after validation for the full year.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 The UK government amassed traffic data from 2000 and 2018, recording over 1.8 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.

Content There is 1 CSV File in this set. Accidents are the primary ones and have references by Accident_Index to the casualties and vehicles tables. This might be better done as a database.

Description This Dataset contains 33 Features covering over a 1.8million records. this dataset consists of various features like, Accidental / Longitude: Location of Accident

Inspiration Questions to ask about this data are, - What is the number of casualties on each day of the week? - On each day of the week, what is the maximum and minimum speed limit on the roads the accidents happened? - What is the importance of Light and Weather conditions in predicting accident severity? - What does your intuition say and what does the data portray? - To predict the severity of the accidents.

Road Safety Statistics releases and guidance about the data collection. Collision analysis tool for bespoke breakdowns of our data. STATS19 R package developed independently of DfT, offering an alternative way to access this data for those familiar with the R language. Latest data Provisional data for the first 6 months of 2024 published 28 November 2024. These are provisional un-validated data. Data included These files provide detailed road safety data about the circumstances of personal injury road collisions in Great Britain from 1979, the types of vehicles involved and the consequential casualties. The statistics relate only to personal injury collisions on public roads that are reported to the police, and subsequently recorded, using the STATS19 collision reporting form. This data contains all the non-sensitive fields that can be made public. Sensitive data fields, for example contributory factors data, can be requested by completing the sensitive data form and contacting the road safety statistics team at roadacc.stats@dft.gov.uk All the data variables are coded rather than containing textual strings. The lookup tables are available in the supporting documents section towards the bottom of the table. Data relating to the casualty and collision severity adjustment to account for changes in police reporting of severity is provided in separate files and can be joined using the appropriate record identifiers. Timing of data release Final annual data is released annually in late September following the publication of the annual reported road casualties Great Britain statistical publication. Individual years data is available for each of the last 5 years, with earlier years available as part of a single download. In addition, un-validated provisional mid-year data (covering January to June) is released at end November, to provide more up to date information Data revisions Except for the severity adjustments, data are not routinely revised those occasionally minor amendments to previous years can be made. Details of recent revisions are available, together with a request for any feedback on the approach to revising the data. The files published here represent the latest data.

📄 Dataset Overview

This dataset contains detailed records of road traffic accidents across multiple districts in the UK, including areas such as Southend-on-Sea, Uttlesford, Chelmsford, Brentwood, Epping Forest, and more.

It includes approximately 300,000 rows of incidents, each capturing environmental, vehicular, and road-related conditions at the time of the accident.

This data is ideal for projects involving accident severity analysis, geospatial visualization, urban planning, and road safety research.

📊 Use Cases

• Traffic accident severity prediction
• District-level accident comparison
• Geospatial accident heatmaps
• Road condition vs. accident analysis
• Time-of-day or weather-related traffic impact studies

This is the number of people of all ages killed or seriously injured (KSI) in road traffic accidents, in an area, adjusted. This indicator includes only casualties who are fatally or seriously injured and these categories are defined as follows:

Fatal casualties are those who sustained injuries which caused death less than 30 days after the accident; confirmed suicides are excluded.

Seriously injured casualties are those who sustained an injury for which they are detained in hospital as an in-patient, or any of the following injuries, whether or not they are admitted to hospital: fractures, concussion, internal injuries, crushings, burns (excluding friction burns), severe cuts and lacerations, severe general shock requiring medical treatment and injuries causing death 30 or more days after the accident.

An injured casualty is recorded as seriously or slightly injured by the police on the basis of information available within a short time of the collision. This generally will not reflect the results of a medical examination, but may be influenced according to whether the casualty is hospitalised or not. Hospitalisation procedures will vary regionally.

Slight injuries are excluded from the total, such as a sprain (including neck whiplash injury), bruise or cut which are not judged to be severe, or slight shock requiring roadside attention.

Police forces use one of two systems for recording reported road traffic collisions; the CRaSH (Collision Recording and Sharing) or COPA (Case Overview Preparation Application). Estimates are calculated from figures which are as reported by police. Since 2016, changes in severity reporting systems for a large number of police forces mean that serious injury figures, and to a lesser extent slight injuries, are not comparable with earlier years. As a result, both adjusted and unadjusted killed or seriously injured statistics are available. Further information about the reporting systems can be found here.

Areas with low resident populations but have high inflows of people or traffic may have artificially high rates because the at-risk resident population is not an accurate measure of exposure to transport. This is likely to affect the results for employment centres e.g. City of London and sparsely populated rural areas which have high numbers of visitors or through traffic. Counts for Heathrow Airport are included in the London Region and England totals only.

From the publication of the 2023 statistics onwards, casualty rates shown in table RAS0403 to include rates based on motor vehicle traffic only. This is because the department does not consider pedal cycle traffic to be robust at the local authority level.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

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

accident_reference

In year id used by the police to reference a collision. It is not unique outside of the year, use accident_index for linking to other years

accident_index

unique value for each accident. The accident_index combines the accident_year and accident_ref_no to form a unique ID. It can be used to join to Vehicle and Casualty

Speed limit

20,30,40,50,60,70 are the only valid speed limits on public highways 99: unknown (self reported) -1: Data missing or out of range. So drop all unrelated values

accident_severity

1: Fatal 2: Serious 3: Slight

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.

Dataset

This dataset was created by Taylor S. Amarel

Released under CC0: Public Domain

Contents

This dataset is sourced from the United Kingdom's Open Data website (https://www.data.gov.uk/).

In this dataset, you will find extensive information on the characteristics of individual vehicular accidents. The data is split into three main datasets and one data guide which can be used to reference dummy variables.

The three main data sets are:

• Casualty
• Collision
• Vehicle

The data sets can be combined using the 'accident_index' key across the data sets.

Comprehensive traffic accident data collected via police reporting systems and road sensors across the UK, ideal for predictive safety analysis.

This dataset shows numbers of people Killed or Seriously Injured (KSI) in Road Traffic Collisions by calendar year for Lincolnshire and districts.

The dataset shows:

• Numbers of people KSI in road collisions

• KSI numbers of children age 0-15

• Numbers of KSI casualties from collisions involving drivers age 17-24 and age 60 and over

• Annual total numbers of fatalities from road collisions

Numbers below 5 have been removed, and where needed one or more further counts of 5 or greater have also been removed. This generally only affects district figures but means some figures for districts will not add up to the Lincolnshire total.

The data is updated annually in May. Source: Lincolnshire Road Safety Partnership (LRSP). For any enquiries about this publication contact stayingalive@lincolnshire.gov.uk

Context

The UK government collects and publishes (usually on an annual basis) detailed information about traffic accidents across the country. This information includes, but is not limited to, geographical locations, weather conditions, type of vehicles, number of casualties and vehicle manoeuvres, making this a very interesting and comprehensive dataset for analysis and research.

The creation of this dataset was inspired by the one previously published by Dave Fisher-Hickey. However, this current dataset features the following significant improvements over its predecessor:

• It covers a wider date range of events.
• Most of the coded data variables have been transformed to textual strings using relevant lookup tables, enabling more efficient and "human-readable" analysis.
• It features detailed information about the vehicles involved in the accidents.

Content

The data come from the Open Data website of the UK government, where they have been published by the Department of Transport.

The dataset comprises of two csv files:

• Accident_Information.csv: every line in the file represents a unique traffic accident (identified by the Accident_Index column), featuring various properties related to the accident as columns. Date range: 2005-2017
• Vehicle_Information.csv: every line in the file represents the involvement of a unique vehicle in a unique traffic accident, featuring various vehicle and passenger properties as columns. Date range: 2004-2016

The two above-mentioned files/datasets can be linked through the unique traffic accident identifier (Accident_Index column).

The dataset will keep being updated as more data become available by the Department of Transport.

Acknowledgements

Thanks to Dave Fisher-Hickey for previously publishing, what I consider to be, the first solid and structured version of this dataset on Kaggle.

Also thanks to data.gov.uk for making this information publicly available.

Last but not least, thanks to The Data Lab for allocating me some much needed time to assemble this dataset.

Inspiration

Go crazy using the dataset. Don't go crazy while driving.

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