Civil Service Statistics data browser (2023)

Data preview: All civil servants / Organisation / Disability / Region_london

Explore further: Parent_department, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Sexual_orientation, Age

Status	Year	Organisation	Disability	Region_london	Headcount	FTE	Mean_salary	Median_salary
In post	2023	Accountant in Bankruptcy	Declared disabled	Outside London	10	5	[c]	[c]
In post	2023	Accountant in Bankruptcy	Declared non-disabled	Outside London	65	60	35800	31940
In post	2023	Accountant in Bankruptcy	Undeclared	Outside London	[c]	[c]	[c]	[c]
In post	2023	Accountant in Bankruptcy	Unknown	Outside London	50	45	32300	29100
In post	2023	Active Travel England	Declared disabled	London	[c]	[c]	[c]	[c]
In post	2023	Active Travel England	Declared disabled	Outside London	[c]	[c]	[c]	[c]
In post	2023	Active Travel England	Declared non-disabled	London	5	5	[c]	[c]
In post	2023	Active Travel England	Declared non-disabled	Outside London	25	25	[c]	[c]
In post	2023	Active Travel England	Undeclared	Outside London	[c]	[c]	[c]	[c]
In post	2023	Active Travel England	Unknown	London	[c]	[c]	[c]	[c]
In post	2023	Active Travel England	Unknown	Outside London	15	15	[c]	[c]
In post	2023	Advisory, Conciliation and Arbitration Service	Declared disabled	London	20	20	[c]	[c]
In post	2023	Advisory, Conciliation and Arbitration Service	Declared disabled	Outside London	175	160	32650	32110
In post	2023	Advisory, Conciliation and Arbitration Service	Declared non-disabled	London	80	75	47310	45460
In post	2023	Advisory, Conciliation and Arbitration Service	Declared non-disabled	Outside London	325	300	33870	32110
In post	2023	Advisory, Conciliation and Arbitration Service	Undeclared	London	[c]	[c]	[c]	[c]
In post	2023	Advisory, Conciliation and Arbitration Service	Undeclared	Outside London	35	30	32940	32110
In post	2023	Advisory, Conciliation and Arbitration Service	Unknown	London	70	70	40430	39360
In post	2023	Advisory, Conciliation and Arbitration Service	Unknown	Outside London	300	275	31180	32110
In post	2023	Animal and Plant Health Agency	Declared disabled	London	10	10	[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 2023-07-26, 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).
Organisation	Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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.
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).