Civil Service Statistics data browser (2024)

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

Status Year Ethnicity Region_london Sexual_orientation Function_of_post Headcount FTE Mean_salary Median_salary
In post 2024 Asian London Heterosexual / straight Analysis 440 430 48220 44090
In post 2024 Asian London Heterosexual / straight Commercial 190 185 54140 46020
In post 2024 Asian London Heterosexual / straight Communications 125 125 44860 41580
In post 2024 Asian London Heterosexual / straight Counter Fraud 485 460 37140 34270
In post 2024 Asian London Heterosexual / straight Debt 105 90 29930 28610
In post 2024 Asian London Heterosexual / straight Digital, Data & Technology 885 875 50390 46000
In post 2024 Asian London Heterosexual / straight Finance 515 500 49180 45910
In post 2024 Asian London Heterosexual / straight Grants Management 10 10 [c] [c]
In post 2024 Asian London Heterosexual / straight Human Resources 375 360 44430 40910
In post 2024 Asian London Heterosexual / straight Internal Audit 45 40 51160 48730
In post 2024 Asian London Heterosexual / straight Legal 700 660 50210 56550
In post 2024 Asian London Heterosexual / straight No function 7875 7435 39890 35010
In post 2024 Asian London Heterosexual / straight Project Delivery 580 570 51030 45910
In post 2024 Asian London Heterosexual / straight Property 160 150 42260 38020
In post 2024 Asian London Heterosexual / straight Security 210 205 40060 38250
In post 2024 Asian London Heterosexual / straight Unknown 505 470 39390 33980
In post 2024 Asian London LGBO Analysis 30 30 [c] [c]
In post 2024 Asian London LGBO Commercial [c] [c] [c] [c]
In post 2024 Asian London LGBO Communications 5 5 [c] [c]
In post 2024 Asian London LGBO Counter Fraud 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 2024-07-25

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).
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.
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.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
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).