Civil Service Statistics data browser (2021)

Data preview: All civil servants / Ethnicity / Region_london / Function_of_post

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Disability, Sexual_orientation, Age

Status Year Ethnicity Region_london Function_of_post Headcount FTE Mean_salary Median_salary
In post 2021 Asian London Analysis 320 315 45280 41850
In post 2021 Asian London Commercial 150 145 45060 37640
In post 2021 Asian London Communications 200 195 37820 33560
In post 2021 Asian London Counter Fraud 270 260 35580 32520
In post 2021 Asian London Debt 135 115 27330 25630
In post 2021 Asian London Digital, Data & Technology 430 425 45590 41760
In post 2021 Asian London Finance 400 390 43070 39450
In post 2021 Asian London Grants Management [c] [c] [c] [c]
In post 2021 Asian London Human Resources 275 265 40640 36160
In post 2021 Asian London Internal Audit 50 45 49760 49900
In post 2021 Asian London Legal 640 600 45700 50500
In post 2021 Asian London No function 3990 3815 37970 33740
In post 2021 Asian London Project Delivery 510 500 45550 40510
In post 2021 Asian London Property 170 160 36620 31820
In post 2021 Asian London Security 110 105 36280 34410
In post 2021 Asian London Unknown 5915 5470 33070 31060
In post 2021 Asian Outside London Analysis 105 100 35320 32010
In post 2021 Asian Outside London Commercial 120 115 36760 34600
In post 2021 Asian Outside London Communications 305 300 29340 25560
In post 2021 Asian Outside London Counter Fraud 340 325 29810 28130
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).
Region_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into “London”, “Outside London”: all UK regions excluding London, “Overseas”, and “Unknown”.
Function_of_post Functions 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 functions 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.
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.
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.
For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ from 2022 onwards.
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).