Civil Service Statistics data browser (2022)

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

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

Status Year Disability Sex Profession_of_post Headcount FTE Mean_salary Median_salary
In post 2022 Declared disabled Female Commercial 350 330 37610 36530
In post 2022 Declared disabled Female Communications 200 190 39730 36960
In post 2022 Declared disabled Female Corporate Finance 5 5 [c] [c]
In post 2022 Declared disabled Female Counter Fraud 620 540 28320 27570
In post 2022 Declared disabled Female Digital, Data and Technology 700 660 38870 35970
In post 2022 Declared disabled Female Economics 45 45 45180 38750
In post 2022 Declared disabled Female Finance 660 620 37340 33300
In post 2022 Declared disabled Female Geography 10 10 [c] [c]
In post 2022 Declared disabled Female Human Resources 895 845 39680 35070
In post 2022 Declared disabled Female Inspector of Education and Training 50 50 59630 51360
In post 2022 Declared disabled Female Intelligence Analysis 150 140 31410 28760
In post 2022 Declared disabled Female Internal Audit 55 50 44610 41230
In post 2022 Declared disabled Female International Trade 70 70 45290 39810
In post 2022 Declared disabled Female Knowledge and Information Management 175 165 33750 31990
In post 2022 Declared disabled Female Legal 635 570 49090 50500
In post 2022 Declared disabled Female Medicine 80 75 51840 40880
In post 2022 Declared disabled Female Operational Delivery 19965 17415 27540 27350
In post 2022 Declared disabled Female Operational Research 35 35 42310 42520
In post 2022 Declared disabled Female Other 1995 1800 27890 26820
In post 2022 Declared disabled Female Planning 15 15 [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 2023-02-14, 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).
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Cabinet Office (excl agencies) reported profession information for only 60 out of a total 9,930 employees.
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.
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).