Civil Service Statistics data browser (2023)

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

Status Year Profession_of_post Region_london Sexual_orientation Disability Headcount FTE Mean_salary Median_salary
In post 2023 Commercial London Heterosexual / straight Declared disabled 125 125 54120 45540
In post 2023 Commercial London Heterosexual / straight Declared non-disabled 835 820 62220 56200
In post 2023 Commercial London Heterosexual / straight Undeclared 65 60 59160 56430
In post 2023 Commercial London Heterosexual / straight Unknown 90 85 57060 45080
In post 2023 Commercial London LGBO Declared disabled 10 10 [c] [c]
In post 2023 Commercial London LGBO Declared non-disabled 50 45 56930 56000
In post 2023 Commercial London LGBO Undeclared 10 10 [c] [c]
In post 2023 Commercial London LGBO Unknown 10 10 [c] [c]
In post 2023 Commercial London Undeclared Declared disabled 20 20 [c] [c]
In post 2023 Commercial London Undeclared Declared non-disabled 50 50 59600 53510
In post 2023 Commercial London Undeclared Undeclared 40 40 58220 58320
In post 2023 Commercial London Undeclared Unknown 25 25 [c] [c]
In post 2023 Commercial London Unknown Declared disabled 35 35 52680 55570
In post 2023 Commercial London Unknown Declared non-disabled 125 125 58550 56200
In post 2023 Commercial London Unknown Undeclared 25 25 [c] [c]
In post 2023 Commercial London Unknown Unknown 195 195 48250 43260
In post 2023 Commercial Outside London Heterosexual / straight Declared disabled 490 465 43710 39530
In post 2023 Commercial Outside London Heterosexual / straight Declared non-disabled 3090 2980 44700 40450
In post 2023 Commercial Outside London Heterosexual / straight Undeclared 155 150 45590 39090
In post 2023 Commercial Outside London Heterosexual / straight Unknown 505 490 40950 37060
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 2023-07-26, 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).