Skip to content
Data Provider: Welsh Government Personnel (headcount) by employment type and Fire and Rescue Service area
None
Area Code[Filter]
Year[Filtered]
Measure1
[Collapse]Fire and Rescue Service area[Filter]
-
Fire and Rescue Service area 1
[Collapse]Employment type[Filter]
-
-
Employment type 1
[Collapse]Total Welsh Fire and Rescue ServicesClick here to sortTotal Welsh Fire and Rescue Services
Click here to sortNorth Wales Fire and Rescue ServiceClick here to sortMid and West Wales Fire and Rescue ServiceClick here to sortSouth Wales Fire and Rescue Service
[Collapse]All employment types4,4026,6908,65419,746
All employment typesWholetime uniformed staff1,3261,9624,0257,313
Retained staff2,1973,5392,8388,574
Fire control staff157126211494
Non-operational staff7221,0631,5803,365

Metadata

Title

Fire and Rescue Service personnel (headcount) by employment type

Last update

12 October 2023 12 October 2023

Next update

October 2024

Publishing organisation

Welsh Government

Source 1

Fire service operational data collection, Welsh Government

Contact email

stats.inclusion@gov.wales

Designation

None

Lowest level of geographical disaggregation

Fire and rescue authorities

Geographical coverage

Wales

Languages covered

English and Welsh

Data licensing

You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see http://www.nationalarchives.gov.uk/doc/open-government-licence

Keywords

Fire, Fire and Rescue Service, personnel, employment

General description

This dataset table shows personnel employed by the Fire and Rescue Service in Wales (headcounts) by employment type.

Data collection and calculation

The data are collected annually by the Welsh Government from all three fire and rescue services in Wales. See weblinks for forms and guidance.

Frequency of publication

Annual

Data reference periods

Financial years from 2004-05.

Users, uses and context

See the data quality report in the weblinks.

Rounding applied

None

Revisions information

Historic data are revised periodically, for example if in a given year, a comparison with a previous year reveals an error. Revisions are shown with an (r).

Statistical quality

See the data quality report in the weblinks.