Civil Service Statistics data browser (2023)

Data preview: All civil servants / Parent_department / Function_of_post / Disability

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Ethnicity, Sexual_orientation, Age

Status Year Parent_department Function_of_post Disability Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments Analysis Declared disabled [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Analysis Declared non-disabled 10 10 [c] [c]
In post 2023 Attorney General’s Departments Analysis Unknown [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Commercial Declared disabled 5 5 [c] [c]
In post 2023 Attorney General’s Departments Commercial Declared non-disabled 30 30 37800 37790
In post 2023 Attorney General’s Departments Commercial Unknown 10 10 [c] [c]
In post 2023 Attorney General’s Departments Communications Declared disabled 10 10 [c] [c]
In post 2023 Attorney General’s Departments Communications Declared non-disabled 55 55 44950 41340
In post 2023 Attorney General’s Departments Communications Undeclared [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Communications Unknown 20 20 [c] [c]
In post 2023 Attorney General’s Departments Counter Fraud Declared disabled 15 15 [c] [c]
In post 2023 Attorney General’s Departments Counter Fraud Declared non-disabled 165 165 47280 41400
In post 2023 Attorney General’s Departments Counter Fraud Undeclared 10 10 [c] [c]
In post 2023 Attorney General’s Departments Counter Fraud Unknown 40 40 54100 43810
In post 2023 Attorney General’s Departments Digital, Data & Technology Declared disabled 40 40 39180 35550
In post 2023 Attorney General’s Departments Digital, Data & Technology Declared non-disabled 205 200 44230 40540
In post 2023 Attorney General’s Departments Digital, Data & Technology Undeclared 5 5 [c] [c]
In post 2023 Attorney General’s Departments Digital, Data & Technology Unknown 50 50 42100 37730
In post 2023 Attorney General’s Departments Finance Declared disabled 15 15 [c] [c]
In post 2023 Attorney General’s Departments Finance Declared non-disabled 120 115 39170 31820
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 2023-07-26, 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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).