Understanding the available evidence about those injured on the roads is vitally important to achieving casualty reduction.  Statistics on road safety in Great Britain are mostly based on collisions reported to the police via the STATS19 system. This system allows police forces to report all personal-injury collisions to the Department for Transport. It does not collect any information about damage-only collisions.

Safer Roads use this data to analyse patterns and trends both on local roads, and for local residents involved in injury collisions, regardless of the location.  These dashboards (interactive web-based charts) are outputs from the analyses used by Safer Roads to identify and measure risk.

Where a chart refers to resident drivers or casualties this uses the home postcode of either an involved driver or injured casualty.  Where no postcode was known (around 7%) the data is not included.

There are three levels of severity of injury, fatal, serious, and slight.  Collisions are classified according to the most seriously injured casualty and are then classified as killed, serious, or slight.  It is common for killed and seriously injured to be grouped and referred to as KSI.

Area Profile Dashboards

These charts use data collated and interpreted during the creation of the Area Profile reports produced for the authorities on an annual basis.

Trend Charts

This looks at the last 12 years’ data for the five Safer Roads authorities and allows comparisons of collisions, drivers, and resident casualties.

Comparison Charts

These sophisticated analyses use data about local population counts to calculate an injury rate for resident casualties and then compares these against a number of other areas.  By looking at injury rates, small authorities can compare performance against national averages, those of neighbouring authorities, and those that are similar in nature.

Small Area Maps

These maps take the resident casualty rate data used in the comparison charts and map the local distributions at a greater level of detail.  This shows which areas within an authority casualties are more likely to come from.

Quarterly Updates

Using provisional data (i.e. there may be collisions that are eventually added or removed subject to audit), comparisons of in-year statistics are available.  It normally takes 6-8 weeks following the end of a quarter to produce the charts.

Quarterly Results

This allows comparison of individual quarters and lets users filter by collision location or road user group.  Quite often the numbers can be very small and care should be taken when reviewing the results.

Quarterly Comparison

These gauges provide an estimate of performance for the in-year data by using either the previous year’s data or a five-year baseline period.  Individual road user groups then show as above or below previous levels for each authority.  The results should always be checked against those in the Quarterly Results chart to ensure the figures are robust.

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