Civil Service Statistics data browser (2023)

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

Status Year Parent_department Ethnicity Sex Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments Asian Female AA [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Female AO 175 155 23290 24280
In post 2023 Attorney General’s Departments Asian Female EO 175 165 28330 28200
In post 2023 Attorney General’s Departments Asian Female G6 70 60 68710 67460
In post 2023 Attorney General’s Departments Asian Female G7 320 290 55660 54100
In post 2023 Attorney General’s Departments Asian Female HEO 55 50 35510 33810
In post 2023 Attorney General’s Departments Asian Female SCS level 10 10 [c] [c]
In post 2023 Attorney General’s Departments Asian Female SEO 55 55 40340 40540
In post 2023 Attorney General’s Departments Asian Male AA [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Male AO 70 70 23390 24280
In post 2023 Attorney General’s Departments Asian Male EO 60 60 28360 28200
In post 2023 Attorney General’s Departments Asian Male G6 25 25 [c] [c]
In post 2023 Attorney General’s Departments Asian Male G7 145 140 56400 54100
In post 2023 Attorney General’s Departments Asian Male HEO 35 35 34650 32660
In post 2023 Attorney General’s Departments Asian Male SCS level [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Male SEO 30 30 [c] [c]
In post 2023 Attorney General’s Departments Asian Unknown AA [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Unknown AO [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Unknown EO [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Unknown G6 [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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).