Civil Service Statistics data browser (2023)

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

Status Year Sex Sexual_orientation Function_of_post Disability Headcount FTE Mean_salary Median_salary
In post 2023 Female Heterosexual / straight Analysis Declared disabled 330 305 42820 39300
In post 2023 Female Heterosexual / straight Analysis Declared non-disabled 2365 2215 46600 43250
In post 2023 Female Heterosexual / straight Analysis Undeclared 80 80 45940 43250
In post 2023 Female Heterosexual / straight Analysis Unknown 465 450 40340 39190
In post 2023 Female Heterosexual / straight Commercial Declared disabled 315 295 44230 40620
In post 2023 Female Heterosexual / straight Commercial Declared non-disabled 2045 1950 46070 41510
In post 2023 Female Heterosexual / straight Commercial Undeclared 100 95 46680 42720
In post 2023 Female Heterosexual / straight Commercial Unknown 340 325 41630 35650
In post 2023 Female Heterosexual / straight Communications Declared disabled 160 150 42700 39960
In post 2023 Female Heterosexual / straight Communications Declared non-disabled 1285 1205 44490 41350
In post 2023 Female Heterosexual / straight Communications Undeclared 60 55 43600 39860
In post 2023 Female Heterosexual / straight Communications Unknown 220 215 42310 38870
In post 2023 Female Heterosexual / straight Counter Fraud Declared disabled 1005 895 32220 28130
In post 2023 Female Heterosexual / straight Counter Fraud Declared non-disabled 4870 4435 33160 30230
In post 2023 Female Heterosexual / straight Counter Fraud Undeclared 160 145 31860 28370
In post 2023 Female Heterosexual / straight Counter Fraud Unknown 145 130 34510 32540
In post 2023 Female Heterosexual / straight Debt Declared disabled 460 385 24840 22520
In post 2023 Female Heterosexual / straight Debt Declared non-disabled 2305 1980 24910 22520
In post 2023 Female Heterosexual / straight Debt Undeclared 90 80 25040 22520
In post 2023 Female Heterosexual / straight Debt Unknown 70 60 25130 22520
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 2023-07-29, 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.
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.
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).