Civil Service Statistics data browser (2023)

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

Status Year Region_london Disability Profession_of_post Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 London Declared disabled Commercial Heterosexual / straight 125 125 54120 45540
In post 2023 London Declared disabled Commercial LGBO 10 10 [c] [c]
In post 2023 London Declared disabled Commercial Undeclared 20 20 [c] [c]
In post 2023 London Declared disabled Commercial Unknown 35 35 52680 55570
In post 2023 London Declared disabled Communications Heterosexual / straight 85 85 49060 46470
In post 2023 London Declared disabled Communications LGBO 20 20 [c] [c]
In post 2023 London Declared disabled Communications Undeclared 15 15 [c] [c]
In post 2023 London Declared disabled Communications Unknown 10 10 [c] [c]
In post 2023 London Declared disabled Corporate Finance Heterosexual / straight [c] [c] [c] [c]
In post 2023 London Declared disabled Corporate Finance LGBO [c] [c] [c] [c]
In post 2023 London Declared disabled Corporate Finance Undeclared [c] [c] [c] [c]
In post 2023 London Declared disabled Corporate Finance Unknown [c] [c] [c] [c]
In post 2023 London Declared disabled Counter Fraud Heterosexual / straight 175 160 34490 32520
In post 2023 London Declared disabled Counter Fraud LGBO 15 15 [c] [c]
In post 2023 London Declared disabled Counter Fraud Undeclared 25 25 [c] [c]
In post 2023 London Declared disabled Counter Fraud Unknown 20 20 [c] [c]
In post 2023 London Declared disabled Digital, Data and Technology Heterosexual / straight 330 325 50620 46320
In post 2023 London Declared disabled Digital, Data and Technology LGBO 80 80 51400 53180
In post 2023 London Declared disabled Digital, Data and Technology Undeclared 60 55 51630 55190
In post 2023 London Declared disabled Digital, Data and Technology Unknown 40 35 44210 38130
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".
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.
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).