Civil Service Statistics data browser (2023)

Data preview: All civil servants / Sexual_orientation / Region_london / Profession_of_post / Sex

Status Year Sexual_orientation Region_london Profession_of_post Sex Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight London Commercial Female 570 555 56030 53120
In post 2023 Heterosexual / straight London Commercial Male 545 535 65660 57270
In post 2023 Heterosexual / straight London Commercial Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Communications Female 770 740 49610 46450
In post 2023 Heterosexual / straight London Communications Male 455 455 50140 45540
In post 2023 Heterosexual / straight London Communications Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Corporate Finance Female 15 15 [c] [c]
In post 2023 Heterosexual / straight London Corporate Finance Male 25 25 [c] [c]
In post 2023 Heterosexual / straight London Corporate Finance Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Counter Fraud Female 675 625 35230 32520
In post 2023 Heterosexual / straight London Counter Fraud Male 615 600 39460 36560
In post 2023 Heterosexual / straight London Counter Fraud Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Digital, Data and Technology Female 1235 1195 51540 49170
In post 2023 Heterosexual / straight London Digital, Data and Technology Male 2085 2065 53140 53270
In post 2023 Heterosexual / straight London Digital, Data and Technology Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Economics Female 405 390 52860 55020
In post 2023 Heterosexual / straight London Economics Male 680 675 52190 54670
In post 2023 Heterosexual / straight London Economics Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Finance Female 940 895 50340 45510
In post 2023 Heterosexual / straight London Finance Male 930 920 53500 50380
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 2023-07-28, 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).
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".
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
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.
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).