Fire benchmarking club

Over the years we have worked with individual fire authorities, various Family Groups and CFOA to make LG Inform more useful to fire authorities. This included increasing the number of metrics published by the Home Office (and formerly by DCLG) relating to incidents and operational statistics as well as providing aggregated metric types at the fire authority level for other contextual metrics like population, household and business metrics.

Most recently we have been working with the South West Fire Performance and Benchmarking Group to develop a voluntary benchmarking club for fire related metrics. This is an entirely voluntarily exercise, the purpose is to provide members with an opportunity to share data for a basket of metrics prior to formal publication.

The club is a quarterly collection and has been designed to be very quick and easy, and involves simply entering your authority's figure into an online form. Data provided is then loaded into LG Inform at the end of the quarter, you can then create your own reports benchmarking yourself against other participants or you can simply view your data in one of the benchmarking reports created by the LGA Research team; here is the report that we produced for the existing club (you need to be signed in to view it).

If you would be interested in taking part in this benchmarking club please email and we can send you more information.

Dates collection

  • Q3 2018/19 - collection window opens 7 January 2019 and closes 8 February 2019
  • Q4 2018/19 - collection window opens 1April 2019 and closes 3 May 2019
  • Q1 2019/20 - collection window opens 1 July 2019 and closes 2 August 2019
  • Q2 2018/19 - collection window opens 7 October 2019 and closes 8 November 2019


The current basket of metrics is a mix of:

  • Provisional: i.e. a pre-existing collection which has a significant time lag between submission and publication and users would like to see it in LG Inform as provisional data prior to official publication.
  • Local: this could include new metric types, for which there is currently no existing collection facility but the sector has agreed a definition and committed to submitting data against it.

All data provided are available six to eight weeks after the end of the quarter to registered, sign in users. Data remain restricted like this for a year after the period for which the data relate or in the case of provisional data until such time as it is formally published by the Home Office; currently the Home Office has moved to a bi-annual publication of the fire statistics monitor data which means that outside the club is not available for 6-9 months after the end of the period.

Given the myriad of ways that individual fire authorities prefer to benchmark their data e.g. per 1,000 population, per million population, per household, per dwelling, per non-domestic property etc. it was decided that the club would simply collect the raw count for each metric and we developed an extra feature within the reporting tool to allow users to choose the denominator (population, dwelling, non-domestic property) and the multiplier whichever meets their particular needs at that time.

The current basket of metrics are:

1.    Total fires (primary, secondary, chimney) 

2.    Primary fires

3.    Fatalities in primary fires

4.    Fatalities in accidental primary fires

5.    Casualties (exc. pre-cautionary checks) in primary fires

6.    Casualties (exc. pre-cautionary checks) in accidental primary fires

7.    Fires in non-domestic premises

8.    Secondary fires

9.    Accidental dwelling fires

10.  Deaths arising from accidental dwelling fires

11.  Injuries (excluding pre-cautionary checks) arising from accidental dwelling fires

12.  Dwelling fires where no smoke alarm had been fitted

13.  Chimney fires

14.  Deliberate primary and secondary fires

15.  Deliberate primary fires

16.  Deliberate primary fires, excluding vehicles

17.  Deliberate primary fires in vehicles

18.  Deliberate secondary fires

19.  Malicious false alarms attended

20.  Malicious false alarms not attended

21.  Percentage of malicious false alarms not attended

22.  False alarms caused by automatic fire detection apparatus

23.  Number of false alarms caused by automatic fire detection not attended (domestic & non-domestic properties)

24.  Staff Figures


If you would be interested in taking part in this benchmarking club please email and we can send you more information.