Civil Service Statistics data browser (2023)

Data preview: All civil servants / Responsibility_level_ungrouped / Sex / Region_london / Disability

Status	Year	Responsibility_level_ungrouped	Sex	Region_london	Disability	Headcount	FTE	Mean_salary	Median_salary
In post	2023	AA	Female	London	Declared disabled	90	80	24340	23500
In post	2023	AA	Female	London	Declared non-disabled	430	380	24570	23500
In post	2023	AA	Female	London	Undeclared	85	75	24870	23670
In post	2023	AA	Female	London	Unknown	160	155	25200	23580
In post	2023	AA	Female	Outside London	Declared disabled	970	810	21600	21380
In post	2023	AA	Female	Outside London	Declared non-disabled	4590	3930	21780	22130
In post	2023	AA	Female	Outside London	Undeclared	490	410	22000	22520
In post	2023	AA	Female	Outside London	Unknown	2300	2015	22140	22180
In post	2023	AA	Female	Overseas	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	AA	Female	Overseas	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2023	AA	Female	Overseas	Undeclared	[c]	[c]	[c]	[c]
In post	2023	AA	Female	Overseas	Unknown	[c]	[c]	[c]	[c]
In post	2023	AA	Female	Unknown	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	AA	Female	Unknown	Declared non-disabled	5	5	[c]	[c]
In post	2023	AA	Female	Unknown	Undeclared	[c]	[c]	[c]	[c]
In post	2023	AA	Female	Unknown	Unknown	5	5	[c]	[c]
In post	2023	AA	Male	London	Declared disabled	70	65	24220	23500
In post	2023	AA	Male	London	Declared non-disabled	455	440	24580	23500
In post	2023	AA	Male	London	Undeclared	110	100	25200	23670
In post	2023	AA	Male	London	Unknown	150	150	24480	23500

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 2023-07-28, 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).
Responsibility_level_ungrouped	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_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
Region_london	Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
	Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
Sex	Self reported sex.
	"Unknown" accounts for employees who were recorded with an unknown sex.
Disability	Self reported disability.
	"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).