Civil Service Statistics data browser (2023)

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

Status Year Region_london Function_of_post Disability Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 London Analysis Declared disabled Heterosexual / straight 235 225 48930 45170
In post 2023 London Analysis Declared disabled LGBO 55 55 45250 43650
In post 2023 London Analysis Declared disabled Undeclared 35 30 48130 43650
In post 2023 London Analysis Declared disabled Unknown 20 20 [c] [c]
In post 2023 London Analysis Declared non-disabled Heterosexual / straight 2330 2255 52970 52020
In post 2023 London Analysis Declared non-disabled LGBO 200 200 51540 46600
In post 2023 London Analysis Declared non-disabled Undeclared 175 170 51950 49550
In post 2023 London Analysis Declared non-disabled Unknown 85 80 51430 48570
In post 2023 London Analysis Undeclared Heterosexual / straight 100 100 47860 45560
In post 2023 London Analysis Undeclared LGBO 15 15 [c] [c]
In post 2023 London Analysis Undeclared Undeclared 75 70 50620 48540
In post 2023 London Analysis Undeclared Unknown 15 15 [c] [c]
In post 2023 London Analysis Unknown Heterosexual / straight 340 335 44760 41300
In post 2023 London Analysis Unknown LGBO 30 30 41170 38720
In post 2023 London Analysis Unknown Undeclared 55 55 53190 50120
In post 2023 London Analysis Unknown Unknown 655 645 43850 39350
In post 2023 London Commercial Declared disabled Heterosexual / straight 110 110 57690 54000
In post 2023 London Commercial Declared disabled LGBO 15 15 [c] [c]
In post 2023 London Commercial Declared disabled Undeclared 20 20 [c] [c]
In post 2023 London Commercial Declared disabled Unknown 35 35 52790 56000
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).
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.
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).