Civil Service Statistics data browser (Beta)

Data preview: All civil servants / Function_of_post / Region_ITL1 / Ethnicity

Status	Year	Function_of_post	Region_ITL1	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Analysis	East Midlands (England)	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	East Midlands (England)	White	40	40	[c]	[c]
In post	2021	Analysis	East of England	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	East of England	White	350	330	35040	30660
In post	2021	Analysis	London	Asian	320	310	45280	41850
In post	2021	Analysis	London	Black	130	130	40500	38360
In post	2021	Analysis	London	Chinese	50	50	48430	45970
In post	2021	Analysis	London	Mixed	130	130	44960	41890
In post	2021	Analysis	London	Other ethnicity	30	30	[c]	[c]
In post	2021	Analysis	London	Undeclared	110	110	50270	45800
In post	2021	Analysis	London	Unknown	530	510	45830	42280
In post	2021	Analysis	London	White	2140	2070	50890	47880
In post	2021	Analysis	North East (England)	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	North East (England)	White	50	50	42460	42220
In post	2021	Analysis	North West (England)	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	North West (England)	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	North West (England)	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	North West (England)	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	North West (England)	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	North West (England)	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	North West (England)	Unknown	60	50	34840	31810
In post	2021	Analysis	North West (England)	White	260	250	39380	38630
In post	2021	Analysis	Overseas	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	Overseas	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	Overseas	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	Overseas	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	Overseas	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	Overseas	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	Overseas	White	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	Scotland	White	50	50	[c]	[c]
In post	2021	Analysis	South East (England)	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	South East (England)	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	South East (England)	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	South East (England)	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	South East (England)	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	South East (England)	Undeclared	50	50	[c]	[c]
In post	2021	Analysis	South East (England)	Unknown	80	80	33960	30130
In post	2021	Analysis	South East (England)	White	700	660	39550	37320
In post	2021	Analysis	South West (England)	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	South West (England)	White	390	370	37220	35720
In post	2021	Analysis	Unknown	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	Unknown	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	Unknown	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	Unknown	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	Unknown	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	Unknown	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	Unknown	White	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	Wales	Unknown	210	210	33040	29540
In post	2021	Analysis	Wales	White	800	760	37140	36030
In post	2021	Analysis	West Midlands (England)	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	Unknown	[c]	[c]	[c]	[c]
In post	2021	Analysis	West Midlands (England)	White	40	30	[c]	[c]
In post	2021	Analysis	Yorkshire and The Humber	Asian	[c]	[c]	[c]	[c]
In post	2021	Analysis	Yorkshire and The Humber	Black	[c]	[c]	[c]	[c]
In post	2021	Analysis	Yorkshire and The Humber	Chinese	[c]	[c]	[c]	[c]
In post	2021	Analysis	Yorkshire and The Humber	Mixed	[c]	[c]	[c]	[c]
In post	2021	Analysis	Yorkshire and The Humber	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Analysis	Yorkshire and The Humber	Undeclared	[c]	[c]	[c]	[c]

Note: Data has been truncated to 100 rows, please download the data to view the remaining rows

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About: The Civil Service Statistics data browser is a pilot project by Cabinet Office to provide access to more detailed data on the Civil Service workforce from the Annual Civil Service Employment Survey. We welcome feedback or comments on this project, which can be addressed to civilservicestatistics@cabinetoffice.gov.uk

Notes: Summary figures are suppressed when information relates to less than 30 civil servants for FTE or Headcount, and less than 50 civil servants for median and mean salary (shown as [c]). Additionally, zero responses have been suppressed for GPDR protected characteristics. Figures are rounded to the nearest 10, or £10 as appropriate.

Data source: All figures are aggregated from the Cabinet Office Annual Civil Service Employment Survey collection.

Version: Generated on 2022-07-26, with GIT 03ee02c.

Data column	Description
Status	Employment status of the civil servants.
	In post - includes staff that were in post on the reference date (31 March).
	New entrant CS - includes new entrants to the Civil Service over the year (1 April to 31 March).
	Leaver CS - includes leavers from the Civil Service over the year (1 April to 31 March). This includes employees who have an Unknown leaving cause.
	Leaver Dept. - includes leavers from the department over the year (1 April to 31 March), who did not leave the Civil Service.
	Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. The Defence Electronics and Components Agency does not record the date in which their employees first enter the Civil Service and so entrants data is not available. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year	Year of data collection (as at March 31st).
Region_ITL1	Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
	Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
	ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
Function_of_post	Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
	Home Office, Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
	Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
Ethnicity	Self reported ethnicity. For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ for 2022.
	“Undeclared” accounts for employees who have actively declared that they do not want to disclose their ethnicity and “Unknown” accounts for employees who have not made an active declaration about their ethnicity.
Headcount	Total number of civil servants (rounded to nearest 10).
FTE	Total full-time equivalent employment numbers (rounded to nearest 10).
Mean_salary	Average salary (mean, rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.
Median_salary	Median salary (rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.