Civil Service Statistics data browser (2022)

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

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

Status Year Disability Function_of_post Sex Headcount FTE Mean_salary Median_salary
In post 2022 Declared disabled Analysis Female 375 350 41370 37930
In post 2022 Declared disabled Analysis Male 340 330 41780 38020
In post 2022 Declared disabled Analysis Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Commercial Female 255 245 38040 37040
In post 2022 Declared disabled Commercial Male 200 195 41310 37430
In post 2022 Declared disabled Commercial Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Communications Female 355 330 35520 33080
In post 2022 Declared disabled Communications Male 255 250 33820 33080
In post 2022 Declared disabled Communications Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Counter Fraud Female 1165 1025 30460 27570
In post 2022 Declared disabled Counter Fraud Male 815 760 31940 27570
In post 2022 Declared disabled Counter Fraud Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Debt Female 530 440 23540 21260
In post 2022 Declared disabled Debt Male 280 260 23170 21260
In post 2022 Declared disabled Debt Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Digital, Data & Technology Female 875 825 38040 34550
In post 2022 Declared disabled Digital, Data & Technology Male 1130 1100 39920 36050
In post 2022 Declared disabled Digital, Data & Technology Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Finance Female 655 590 36340 32440
In post 2022 Declared disabled Finance Male 485 460 39330 35310
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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year Year of data collection (as at 31 March).
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Home Office, 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.
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).