Civil Service Statistics data browser (2021)

Data preview: All civil servants / Parent_department / Profession_of_post / Sex

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Function_of_post, Ethnicity, Disability, Sexual_orientation, Age

Status Year Parent_department Profession_of_post Sex Headcount FTE Mean_salary Median_salary
In post 2021 Attorney General’s Departments Commercial Female 15 15 [c] [c]
In post 2021 Attorney General’s Departments Commercial Male 10 10 [c] [c]
In post 2021 Attorney General’s Departments Communications Female 55 55 43930 39750
In post 2021 Attorney General’s Departments Communications Male 25 25 [c] [c]
In post 2021 Attorney General’s Departments Corporate Finance Female [c] [c] [c] [c]
In post 2021 Attorney General’s Departments Corporate Finance Male 5 5 [c] [c]
In post 2021 Attorney General’s Departments Counter Fraud Female 110 110 42550 35480
In post 2021 Attorney General’s Departments Counter Fraud Male 170 165 47030 41140
In post 2021 Attorney General’s Departments Digital, Data and Technology Female 75 70 38360 35290
In post 2021 Attorney General’s Departments Digital, Data and Technology Male 105 100 41400 38540
In post 2021 Attorney General’s Departments Finance Female 75 70 33290 30610
In post 2021 Attorney General’s Departments Finance Male 60 60 39470 31560
In post 2021 Attorney General’s Departments Human Resources Female 160 155 40910 35000
In post 2021 Attorney General’s Departments Human Resources Male 60 60 38340 31880
In post 2021 Attorney General’s Departments Knowledge and Information Management Female 10 5 [c] [c]
In post 2021 Attorney General’s Departments Knowledge and Information Management Male 5 5 [c] [c]
In post 2021 Attorney General’s Departments Legal Female 3300 2970 56270 55010
In post 2021 Attorney General’s Departments Legal Male 1965 1910 58280 55610
In post 2021 Attorney General’s Departments Operational Delivery Female 2220 2005 27060 25480
In post 2021 Attorney General’s Departments Operational Delivery Male 840 825 28050 25820
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 2023-02-14, with GIT 71a76ea.

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.
Five 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, Defence Electronics and Components Agency, 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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
The Department for Work and Pensions provided aggregated professions data for 2021, which are available in the Civil Service Statistics publication. However, figures in this browser are derived from individual level data and so are not available for this department in 2021.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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).