Civil Service Statistics data browser (Beta)

Data preview: All civil servants / Profession_of_post / Sex / Ethnicity

Status	Year	Profession_of_post	Sex	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Commercial	Female	Asian	120	110	38000	35190
In post	2021	Commercial	Female	Black	120	120	36990	34900
In post	2021	Commercial	Female	Chinese	[c]	[c]	[c]	[c]
In post	2021	Commercial	Female	Mixed	60	50	39730	34780
In post	2021	Commercial	Female	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Commercial	Female	Undeclared	100	100	38310	35760
In post	2021	Commercial	Female	Unknown	310	290	38650	36820
In post	2021	Commercial	Female	White	2130	2010	38910	36500
In post	2021	Commercial	Male	Asian	110	110	40420	38280
In post	2021	Commercial	Male	Black	60	60	40360	38000
In post	2021	Commercial	Male	Chinese	[c]	[c]	[c]	[c]
In post	2021	Commercial	Male	Mixed	30	30	[c]	[c]
In post	2021	Commercial	Male	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Commercial	Male	Undeclared	130	120	41080	39620
In post	2021	Commercial	Male	Unknown	280	280	40030	37400
In post	2021	Commercial	Male	White	1880	1850	43030	40070
In post	2021	Communications	Female	Asian	110	100	40290	37210
In post	2021	Communications	Female	Black	80	80	37710	35010
In post	2021	Communications	Female	Chinese	[c]	[c]	[c]	[c]
In post	2021	Communications	Female	Mixed	70	70	42240	39290
In post	2021	Communications	Female	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Communications	Female	Undeclared	50	40	[c]	[c]
In post	2021	Communications	Female	Unknown	400	390	42090	38650
In post	2021	Communications	Female	White	1600	1510	41530	38540
In post	2021	Communications	Male	Asian	70	70	38220	33830
In post	2021	Communications	Male	Black	30	30	[c]	[c]
In post	2021	Communications	Male	Chinese	[c]	[c]	[c]	[c]
In post	2021	Communications	Male	Mixed	40	40	[c]	[c]
In post	2021	Communications	Male	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Communications	Male	Undeclared	70	70	41820	38980
In post	2021	Communications	Male	Unknown	300	300	43140	39110
In post	2021	Communications	Male	White	1110	1100	41690	37930
In post	2021	Corporate Finance	Female	Asian	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	Black	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	Chinese	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	Mixed	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	Unknown	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Female	White	70	60	42570	37870
In post	2021	Corporate Finance	Male	Asian	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	Black	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	Chinese	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	Mixed	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	Unknown	[c]	[c]	[c]	[c]
In post	2021	Corporate Finance	Male	White	50	50	52650	47140
In post	2021	Counter Fraud	Female	Asian	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Female	Black	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Female	Chinese	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Female	Mixed	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Female	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Female	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Female	Unknown	70	70	38750	34790
In post	2021	Counter Fraud	Female	White	270	250	35180	33100
In post	2021	Counter Fraud	Male	Asian	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Male	Black	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Male	Chinese	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Male	Mixed	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Male	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Male	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Counter Fraud	Male	Unknown	100	100	42610	39490
In post	2021	Counter Fraud	Male	White	320	310	40170	37430
In post	2021	Digital, Data and Technology	Female	Asian	330	320	42430	38180
In post	2021	Digital, Data and Technology	Female	Black	160	150	40320	38630
In post	2021	Digital, Data and Technology	Female	Chinese	[c]	[c]	[c]	[c]
In post	2021	Digital, Data and Technology	Female	Mixed	90	80	41240	39980
In post	2021	Digital, Data and Technology	Female	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Digital, Data and Technology	Female	Undeclared	160	150	41920	38630
In post	2021	Digital, Data and Technology	Female	Unknown	660	640	40400	36500
In post	2021	Digital, Data and Technology	Female	White	3190	3000	40430	37450
In post	2021	Digital, Data and Technology	Male	Asian	540	540	42330	39070
In post	2021	Digital, Data and Technology	Male	Black	250	250	40270	36750
In post	2021	Digital, Data and Technology	Male	Chinese	30	30	[c]	[c]
In post	2021	Digital, Data and Technology	Male	Mixed	130	130	43770	39190
In post	2021	Digital, Data and Technology	Male	Other ethnicity	50	50	43190	39930
In post	2021	Digital, Data and Technology	Male	Undeclared	530	520	42140	39820
In post	2021	Digital, Data and Technology	Male	Unknown	1550	1540	40510	37100
In post	2021	Digital, Data and Technology	Male	White	5570	5490	42990	39050
In post	2021	Digital, Data and Technology	Unknown	Chinese	[c]	[c]	[c]	[c]
In post	2021	Digital, Data and Technology	Unknown	White	[c]	[c]	[c]	[c]
In post	2021	Economics	Female	Asian	70	70	46210	52360
In post	2021	Economics	Female	Black	[c]	[c]	[c]	[c]
In post	2021	Economics	Female	Chinese	[c]	[c]	[c]	[c]
In post	2021	Economics	Female	Mixed	40	40	[c]	[c]
In post	2021	Economics	Female	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Economics	Female	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Economics	Female	Unknown	130	130	42980	36820
In post	2021	Economics	Female	White	490	470	48410	49600
In post	2021	Economics	Male	Asian	110	110	43430	36250
In post	2021	Economics	Male	Black	40	40	[c]	[c]
In post	2021	Economics	Male	Chinese	[c]	[c]	[c]	[c]
In post	2021	Economics	Male	Mixed	50	50	46350	46410
In post	2021	Economics	Male	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Economics	Male	Undeclared	60	60	49910	52280
In post	2021	Economics	Male	Unknown	280	280	43260	36160
In post	2021	Economics	Male	White	810	800	49480	49110
In post	2021	Economics	Unknown	Unknown	[c]	[c]	[c]	[c]
In post	2021	Economics	Unknown	White	[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).
Profession_of_post	Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
	Cabinet Office (excl agencies) reported profession information for only 60 out of a total 9,930 employees.
	Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Sex	Self reported sex.
	“Unknown” accounts for employees who were recorded with an unknown sex.
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.