Civil Service Statistics data browser (2023)

Data preview: All civil servants / Profession_of_post / Parent_department / Responsibility_level_grouped / Sex

Status	Year	Profession_of_post	Parent_department	Responsibility_level_grouped	Sex	Headcount	FTE	Mean_salary	Median_salary
In post	2023	Commercial	Attorney General’s Departments	AA/AO	Female	[c]	[c]	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	AA/AO	Male	[c]	[c]	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	EO	Female	[c]	[c]	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	EO	Male	[c]	[c]	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	G6/G7	Female	5	5	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	G6/G7	Male	[c]	[c]	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	SEO/HEO	Female	15	15	[c]	[c]
In post	2023	Commercial	Attorney General’s Departments	SEO/HEO	Male	10	10	[c]	[c]
In post	2023	Commercial	Cabinet Office	AA/AO	Female	[c]	[c]	[c]	[c]
In post	2023	Commercial	Cabinet Office	AA/AO	Male	[c]	[c]	[c]	[c]
In post	2023	Commercial	Cabinet Office	EO	Female	25	25	[c]	[c]
In post	2023	Commercial	Cabinet Office	EO	Male	15	15	[c]	[c]
In post	2023	Commercial	Cabinet Office	G6/G7	Female	580	565	66080	65910
In post	2023	Commercial	Cabinet Office	G6/G7	Male	630	625	68200	66570
In post	2023	Commercial	Cabinet Office	SCS level	Female	95	95	111240	103230
In post	2023	Commercial	Cabinet Office	SCS level	Male	140	140	125900	124000
In post	2023	Commercial	Cabinet Office	SEO/HEO	Female	270	265	35810	34660
In post	2023	Commercial	Cabinet Office	SEO/HEO	Male	225	225	36400	38050
In post	2023	Commercial	Chancellor’s other departments	EO	Female	[c]	[c]	[c]	[c]
In post	2023	Commercial	Chancellor’s other departments	EO	Male	[c]	[c]	[c]	[c]

Note: Data has been truncated to 20 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 5 civil servants for FTE or Headcount, and less than 10 civil servants for median and mean salary (shown as [c]). Zero responses and salaries for less than 30 civil servants have been suppressed for GPDR special category data. FTE figures are not shown for entrants or leavers due to data quality concerns for these groups. Figures are rounded to the nearest 5, or £10 as appropriate.

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

Version: Generated on 2023-07-27, with GIT d545f65.

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.
	Four organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
Year	Year of data collection (as at 31 March).
Parent_department	Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
Responsibility_level_grouped	With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
	This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
	Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
Profession_of_post	Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
	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.
Headcount	Total number of civil servants (rounded to nearest 5).
FTE	Total full-time equivalent (FTE) employment numbers (rounded to nearest 5).
	FTE figures are not shown for entrants or leavers due to data quality concerns for these groups.
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.
	These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).
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.
	These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).