Civil Service Statistics data browser (2023)

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

Status Year Sexual_orientation Sex Ethnicity Function_of_post Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight Female Asian Analysis 345 335 43210 39150
In post 2023 Heterosexual / straight Female Asian Commercial 170 165 44290 38310
In post 2023 Heterosexual / straight Female Asian Communications 105 105 40450 38650
In post 2023 Heterosexual / straight Female Asian Counter Fraud 615 565 32350 32260
In post 2023 Heterosexual / straight Female Asian Debt 475 410 23940 22520
In post 2023 Heterosexual / straight Female Asian Digital, Data & Technology 655 640 43140 39690
In post 2023 Heterosexual / straight Female Asian Finance 480 460 41190 38500
In post 2023 Heterosexual / straight Female Asian Grants Management 30 30 25920 22150
In post 2023 Heterosexual / straight Female Asian Human Resources 485 460 38940 36170
In post 2023 Heterosexual / straight Female Asian Internal Audit 50 50 45230 43290
In post 2023 Heterosexual / straight Female Asian Legal 820 770 44160 45230
In post 2023 Heterosexual / straight Female Asian No function 10780 9760 32640 29660
In post 2023 Heterosexual / straight Female Asian Project Delivery 645 620 44790 41190
In post 2023 Heterosexual / straight Female Asian Property 160 150 36050 32970
In post 2023 Heterosexual / straight Female Asian Security 120 115 37020 34340
In post 2023 Heterosexual / straight Female Asian Unknown 340 320 38580 34730
In post 2023 Heterosexual / straight Female Black Analysis 115 115 39250 36240
In post 2023 Heterosexual / straight Female Black Commercial 105 105 41220 38440
In post 2023 Heterosexual / straight Female Black Communications 60 60 40910 37640
In post 2023 Heterosexual / straight Female Black Counter Fraud 355 335 32640 32520
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 2023-07-27, with GIT d545f65.

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).
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).