Civil Service Statistics data browser (2023)

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

Status Year Profession_of_post Region_london Organisation Sex Headcount FTE Mean_salary Median_salary
In post 2023 Commercial London Advisory, Conciliation and Arbitration Service Female [c] [c] [c] [c]
In post 2023 Commercial London Advisory, Conciliation and Arbitration Service Male [c] [c] [c] [c]
In post 2023 Commercial London Cabinet Office (excl. agencies) Female 45 40 55830 56430
In post 2023 Commercial London Cabinet Office (excl. agencies) Male 50 50 70880 56430
In post 2023 Commercial London Central Civil Service Fast Stream Female 35 35 30360 30130
In post 2023 Commercial London Central Civil Service Fast Stream Male 35 35 30540 30130
In post 2023 Commercial London Competition and Markets Authority Female [c] [c] [c] [c]
In post 2023 Commercial London Competition and Markets Authority Male [c] [c] [c] [c]
In post 2023 Commercial London Crown Commercial Service Female [c] [c] [c] [c]
In post 2023 Commercial London Crown Commercial Service Male 5 5 [c] [c]
In post 2023 Commercial London Crown Prosecution Service Female 5 5 [c] [c]
In post 2023 Commercial London Crown Prosecution Service Male [c] [c] [c] [c]
In post 2023 Commercial London Defence Equipment and Support Female [c] [c] [c] [c]
In post 2023 Commercial London Defence Equipment and Support Male [c] [c] [c] [c]
In post 2023 Commercial London Department for Business, Energy and Industrial Strategy (excl. agencies) Female [c] [c] [c] [c]
In post 2023 Commercial London Department for Business, Energy and Industrial Strategy (excl. agencies) Male 5 5 [c] [c]
In post 2023 Commercial London Department for Digital, Culture, Media and Sport (excl. agencies) Female 10 10 [c] [c]
In post 2023 Commercial London Department for Digital, Culture, Media and Sport (excl. agencies) Male 10 10 [c] [c]
In post 2023 Commercial London Department for Education (excl. agencies) Female 5 5 [c] [c]
In post 2023 Commercial London Department for Education (excl. agencies) Male 5 5 [c] [c]
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).
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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.
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).