Civil Service Statistics data browser (2023)

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

Status Year Responsibility_level_ungrouped Region_london Sex Disability Headcount FTE Mean_salary Median_salary
In post 2023 AA London Female Declared disabled 90 80 24340 23500
In post 2023 AA London Female Declared non-disabled 430 380 24570 23500
In post 2023 AA London Female Undeclared 85 75 24870 23670
In post 2023 AA London Female Unknown 160 155 25200 23580
In post 2023 AA London Male Declared disabled 70 65 24220 23500
In post 2023 AA London Male Declared non-disabled 455 440 24580 23500
In post 2023 AA London Male Undeclared 110 100 25200 23670
In post 2023 AA London Male Unknown 150 150 24480 23500
In post 2023 AA London Unknown Declared disabled [c] [c] [c] [c]
In post 2023 AA London Unknown Declared non-disabled [c] [c] [c] [c]
In post 2023 AA Outside London Female Declared disabled 970 810 21600 21380
In post 2023 AA Outside London Female Declared non-disabled 4590 3930 21780 22130
In post 2023 AA Outside London Female Undeclared 490 410 22000 22520
In post 2023 AA Outside London Female Unknown 2300 2015 22140 22180
In post 2023 AA Outside London Male Declared disabled 960 885 21820 21380
In post 2023 AA Outside London Male Declared non-disabled 4765 4535 21870 21380
In post 2023 AA Outside London Male Undeclared 705 645 22210 22520
In post 2023 AA Outside London Male Unknown 2350 2240 22570 22180
In post 2023 AA Outside London Unknown Declared disabled [c] [c] [c] [c]
In post 2023 AA Outside London Unknown Declared non-disabled [c] [c] [c] [c]
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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 2023-07-29, 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).