Guide to contributory factors for reported road casualties Great Britain
Updated 28 September 2023
Overview of contributory factors
Contributory factors (CFs for short) provide some insight into why and how road collisions occur. They are designed to give the key actions and failures that led directly to the actual impact to aid investigation of how collisions might be prevented.
When police officers attend the scene of a collision, they are able to select up to 6 factors they believe contributed to the collision. These can be assigned to vehicles, casualties or uninjured pedestrians involved. Please note that this does not assign blame for the collision to any specific road user but gives an indication of which factors the attending officer thought contributed to the collision.
The police officer also indicates whether the factor was ‘very likely’ to have contributed to the collision or only have a ‘possible’ link to the collision. More than one factor can be linked to a single road user, and the same factor can be linked to a series of road users.
Officers do not need to carry out a full investigation of the incident before allocating CFs; they usually use professional judgement about what they can see at the scene. Some CFs, such as exceeding the speed limit, may not be obvious to the officer and are therefore likely to be underreported.
Strengths and weaknesses
Please note that not all collisions are included in the contributory factor data. Only collisions where the police attended the scene and reported at least one contributory factor are included. A total of 67% of collisions reported to the police in 2022 met these criteria.
It is also important to note that collisions can have multiple contributory factors attributed to them. As a result, it is advised that you do not add the results of individual factors in our published tables because collisions could be counted multiple times.
The contributory factors are different in nature from the remainder of the STATS19 data which is based on the reporting of factual information. CFs are largely subjective and depend on the skill and experience of the investigating officer to reconstruct the events which led directly to the collision. This should be kept in mind when interpreting the data.
Guidance to police (STATS20) states that the contributory factors reflect the reporting officer’s opinion at the time of reporting and are not necessarily the result of extensive investigation. Furthermore, it is recognised that subsequent enquiries could lead to the reporting officer changing their opinion, for example because something was not obvious at the time or is revealed following a more detailed investigation (such as the driver using a mobile phone, or a hidden vehicle defect).
Factors should be identified on the basis of evidence rather than guesses about what may have happened. This evidence can come from various sources such as witness statements, vehicle and site inspections. It can be of variable quality, which is the reason for recording the assessment of the reliability of the contributory factors.
Data access and confidentiality
The contributory factor data are considered sensensitive as it may be considered that they imply blame and responsibility for a collision. If the factors can be matched with specific collisions (and specific drivers, vehicles or casualties) they may be sub judice to a prosecution, or may lead to individuals or media reports laying accusations at participants in the collision.
As a result, CF data is not made available at detailed record level or in our data download tool. Data are available via our published spreadhsheet data tables, or a data extract can be requested from the road safety team. This is subject to completion of an end user agreement setting out the use of the data and how the sensitive data will be protected.
The department has previously published research looking at appropriate release practices for contributory factors as carried out by the Methodology Advisory Unit at the Office for National Statistics. This outlined the main risks for identifying contributory factors with individuals and what action would be required to take to minimise this risk. In practice, the main change this brought about was allowing the release of a table containing the total number of contributory factors by local authority. This table was published for the first time in 2013 and is now table RAS0706.
Further information and data collection form
The form used by the police to report contributory factors includes a list of 78 contributory factors. These 78 factors fall into nine categories and these are: Road environment contributed, vehicle defects, injudicious action, driver or rider error or reaction, impairment or distraction, behaviour or inexperience, vision affected by external factors, pedestrian only factors (casualty or uninjured) and special codes.
A copy of the form can be found on our STATS19 forms page, as part of the overall STATS19 form. A description of all the CFs used can be found in the STATS20 guidance which can be found at the same link.
Analysis of CF reporting
CF reporting can vary from force to force depending on operational practices, experience of road traffic collisions, systems used and requirements of the force.
Tables 1-4 give more insight about underlying reporting practices.
Table 1: Percentage of reported collisions included in the contributory factor analysis, by severity
Severity | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|
Fatal | 92 | 93 | 91 | 85 | 87 | 87 | 86 | 84 | 86 | 90 |
Fatal or Serious Collisions (unadjusted) | 87 | 88 | 86 | 81 | 81 | 81 | 80 | 79 | 80 | 82 |
Fatal or Serious Collisions (adjusted) | 87 | 88 | 86 | 82 | 82 | 81 | 80 | 78 | 80 | 82 |
All collisions | 79 | 79 | 77 | 73 | 72 | 69 | 67 | 66 | 66 | 67 |
Table 2: Percentage of reported collisions included in the contributory factor analysis, by road class
Road class | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|
Motorways | 88 | 88 | 84 | 80 | 81 | 78 | 76 | 75 | 74 | 77 |
A Roads | 80 | 81 | 80 | 77 | 75 | 73 | 69 | 68 | 68 | 69 |
B Roads | 80 | 80 | 79 | 74 | 73 | 71 | 69 | 67 | 68 | 69 |
Other roads | 75 | 75 | 73 | 69 | 67 | 64 | 63 | 62 | 63 | 62 |
Table 3: Percentage of vehicles in reported collisions directly allocated a contributory factor, by vehicle type
Vehicle type | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|
Pedal cycles | 67 | 67 | 65 | 62 | 58 | 55 | 52 | 53 | 52 | 50 |
Motorcycles | 86 | 87 | 86 | 82 | 81 | 80 | 77 | 72 | 71 | 70 |
Cars | 80 | 80 | 78 | 74 | 73 | 70 | 68 | 67 | 68 | 69 |
Buses or coaches | 66 | 67 | 70 | 68 | 70 | 66 | 64 | 65 | 66 | 69 |
Light goods vehicles | 80 | 80 | 78 | 76 | 76 | 73 | 70 | 68 | 68 | 69 |
Heavy goods vehicles | 85 | 86 | 83 | 79 | 81 | 78 | 77 | 76 | 76 | 79 |
Other or unknown vehicles | 76 | 78 | 71 | 63 | 62 | 58 | 58 | 62 | 58 | 58 |
Table 4: Percentage of reported collisions included in the contributory factor analysis, by police force
Police force | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|
Avon and Somerset | 61 | 69 | 63 | 67 | 69 | 59 | 58 | 52 | 54 | 58 |
Bedfordshire | 73 | 71 | 70 | 71 | 69 | 70 | 73 | 65 | 68 | 59 |
Cambridgeshire | 70 | 71 | 73 | 71 | 69 | 68 | 66 | 56 | 66 | 57 |
Cheshire | 77 | 79 | 80 | 70 | 75 | 75 | 74 | 75 | 70 | 66 |
City of London | 82 | 76 | 74 | 76 | 71 | 73 | 66 | 70 | 53 | 69 |
Cleveland | 78 | 75 | 75 | 75 | 80 | 77 | 76 | 73 | 76 | 76 |
Cumbria | 60 | 60 | 58 | 63 | 62 | 58 | 72 | 75 | 67 | 68 |
Derbyshire | 77 | 75 | 74 | 73 | 70 | 65 | 64 | 75 | 68 | 69 |
Devon and Cornwall | 82 | 82 | 81 | 77 | 76 | 80 | 81 | 80 | 80 | 79 |
Dorset | 75 | 73 | 81 | 86 | 80 | 80 | 84 | 77 | 77 | 76 |
Durham | 77 | 73 | 69 | 43 | 27 | 54 | 19 | 18 | 36 | 51 |
Essex | 78 | 80 | 74 | 36 | 36 | 32 | 65 | 60 | 57 | 62 |
Gloucestershire | 87 | 84 | 86 | 77 | 71 | 58 | 69 | 73 | 76 | 81 |
Greater Manchester | 79 | 82 | 77 | 60 | 60 | 54 | 48 | 49 | 35 | 32 |
Hampshire | 82 | 81 | 81 | 83 | 81 | 80 | 77 | 77 | 74 | 77 |
Hertfordshire | 81 | 80 | 75 | 70 | 67 | 75 | 75 | 68 | 69 | 61 |
Humberside | 75 | 75 | 73 | 60 | 57 | 63 | 62 | 64 | 64 | 62 |
Kent | 81 | 82 | 83 | 64 | 54 | 51 | 67 | 71 | 71 | 72 |
Lancashire | 100 | 100 | 100 | 100 | 100 | 100 | 76 | 75 | 72 | 74 |
Leicestershire | 76 | 72 | 69 | 73 | 70 | 70 | 73 | 79 | 87 | 94 |
Lincolnshire | 84 | 84 | 81 | 80 | 81 | 79 | 80 | 84 | 84 | 87 |
Merseyside | 82 | 81 | 80 | 81 | 76 | 70 | 70 | 68 | 66 | 64 |
Metropolitan Police | 82 | 82 | 83 | 82 | 77 | 71 | 65 | 61 | 60 | 60 |
Norfolk | 85 | 85 | 82 | 61 | 76 | 78 | 71 | 45 | 73 | 70 |
North Yorkshire | 84 | 82 | 82 | 82 | 81 | 80 | 80 | 81 | 74 | 80 |
Northamptonshire | 59 | 53 | 46 | 52 | 55 | 64 | 70 | 76 | 78 | 76 |
Northumbria | 72 | 72 | 71 | 58 | 46 | 34 | 28 | 25 | 30 | 29 |
Nottinghamshire | 75 | 74 | 73 | 74 | 74 | 71 | 72 | 73 | 74 | 57 |
South Yorkshire | 77 | 80 | 81 | 74 | 70 | 73 | 70 | 74 | 72 | 72 |
Staffordshire | 75 | 77 | 46 | 36 | 36 | 34 | 32 | 41 | 54 | 54 |
Suffolk | 83 | 86 | 88 | 60 | 73 | 74 | 72 | 46 | 71 | 68 |
Surrey | 64 | 57 | 56 | 81 | 85 | 83 | 76 | 74 | 73 | 74 |
Sussex | 73 | 77 | 77 | 75 | 74 | 73 | 73 | 75 | 73 | 74 |
Thames Valley | 80 | 80 | 78 | 81 | 84 | 74 | 68 | 68 | 67 | 66 |
Warwickshire | 86 | 86 | 84 | 77 | 78 | 80 | 75 | 81 | 81 | 79 |
West Mercia | 79 | 78 | 79 | 78 | 78 | 78 | 78 | 76 | 79 | 76 |
West Midlands | 76 | 74 | 64 | 51 | 45 | 40 | 40 | 51 | 53 | 49 |
West Yorkshire | 64 | 75 | 73 | 69 | 69 | 69 | 69 | 68 | 73 | 76 |
Wiltshire | 85 | 87 | 76 | 86 | 87 | 88 | 88 | 84 | 84 | 82 |
Dyfed-Powys | 87 | 87 | 81 | 81 | 81 | 80 | 81 | 80 | 76 | 86 |
Gwent | 68 | 82 | 84 | 82 | 89 | 86 | 88 | 90 | 91 | 84 |
North Wales | 76 | 79 | 78 | 82 | 83 | 83 | 84 | 83 | 83 | 83 |
South Wales | 96 | 97 | 97 | 97 | 97 | 95 | 96 | 98 | 94 | 96 |
Police Scotland | 84 | 82 | 84 | 85 | 85 | 86 | 69 | 61 | 76 | 82 |
Future developments
The recent STATS19 review recommended replacing contributory factors with a new category: Road Safety Factors (RSF). The aim of RSF is to ease data collection. RSF intends to provide greater focus by reducing the list of possible factors from 79 to 36, and reorganising them to align to the Safe Systems approach. This information is being collected to create actions that can be used to improve road safety.
The findings of the review recommended that:
- at least one factor should be completed for each participant (vehicle or pedestrian) in a collision
- three to six factors should be recorded overall
It is expected that the new codes will be implemented in 2024.
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Contact details
Road safety statistics
Email roadacc.stats@dft.gov.uk