Civil Service Statistics data browser (2023)

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

Status Year Ethnicity Disability Sex Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 Asian Declared disabled Female AA 35 25 22290 22760
In post 2023 Asian Declared disabled Female AO 500 410 23490 22500
In post 2023 Asian Declared disabled Female EO 750 660 29600 28370
In post 2023 Asian Declared disabled Female G6 50 50 70650 69480
In post 2023 Asian Declared disabled Female G7 150 145 56590 55720
In post 2023 Asian Declared disabled Female HEO 310 290 35440 35000
In post 2023 Asian Declared disabled Female SCS level 5 5 [c] [c]
In post 2023 Asian Declared disabled Female SEO 195 190 42810 42510
In post 2023 Asian Declared disabled Female Unknown 115 105 31120 29050
In post 2023 Asian Declared disabled Male AA 35 35 23210 23230
In post 2023 Asian Declared disabled Male AO 365 340 23940 22520
In post 2023 Asian Declared disabled Male EO 450 425 29450 28120
In post 2023 Asian Declared disabled Male G6 30 25 [c] [c]
In post 2023 Asian Declared disabled Male G7 110 110 57550 56930
In post 2023 Asian Declared disabled Male HEO 275 270 35590 35000
In post 2023 Asian Declared disabled Male SCS level 15 15 [c] [c]
In post 2023 Asian Declared disabled Male SEO 175 175 43020 43000
In post 2023 Asian Declared disabled Male Unknown 55 50 30210 29050
In post 2023 Asian Declared disabled Unknown AA [c] [c] [c] [c]
In post 2023 Asian Declared disabled Unknown AO [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 2023-07-29, 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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).