Civil Service Statistics data browser (2023)

Data preview: All civil servants / Age / Parent_department / Region_london / Disability

Status	Year	Age	Parent_department	Region_london	Disability	Headcount	FTE	Mean_salary	Median_salary
In post	2023	16-19	Attorney General’s Departments	London	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Attorney General’s Departments	London	Declared non-disabled	5	5	[c]	[c]
In post	2023	16-19	Attorney General’s Departments	London	Unknown	[c]	[c]	[c]	[c]
In post	2023	16-19	Attorney General’s Departments	Outside London	Declared disabled	5	5	[c]	[c]
In post	2023	16-19	Attorney General’s Departments	Outside London	Declared non-disabled	35	35	20980	19560
In post	2023	16-19	Attorney General’s Departments	Outside London	Undeclared	[c]	[c]	[c]	[c]
In post	2023	16-19	Attorney General’s Departments	Outside London	Unknown	5	5	[c]	[c]
In post	2023	16-19	Cabinet Office	London	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	London	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	London	Unknown	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	Outside London	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	Outside London	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	Outside London	Unknown	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	Unknown	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	Unknown	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Cabinet Office	Unknown	Unknown	5	5	[c]	[c]
In post	2023	16-19	Chancellor’s other departments	London	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Chancellor’s other departments	London	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Department for Business, Energy and Industrial Strategy	London	Declared disabled	[c]	[c]	[c]	[c]
In post	2023	16-19	Department for Business, Energy and Industrial Strategy	London	Declared non-disabled	[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.
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".
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.
Age	Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).