Civil Service Statistics data browser (2023)

Data preview: All civil servants / Parent_department / Age / Region_london / Profession_of_post

Status Year Parent_department Age Region_london Profession_of_post Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments 16-19 London Digital, Data and Technology [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 16-19 London Finance [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 16-19 London Knowledge and Information Management [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 16-19 London Legal [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 16-19 London Operational Delivery 5 5 [c] [c]
In post 2023 Attorney General’s Departments 16-19 Outside London Finance [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 16-19 Outside London Operational Delivery 45 45 21230 20980
In post 2023 Attorney General’s Departments 20-29 London Commercial [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 20-29 London Communications 20 20 34910 32660
In post 2023 Attorney General’s Departments 20-29 London Corporate Finance [c] [c] [c] [c]
In post 2023 Attorney General’s Departments 20-29 London Counter Fraud 35 35 32020 29680
In post 2023 Attorney General’s Departments 20-29 London Digital, Data and Technology 20 20 40150 38530
In post 2023 Attorney General’s Departments 20-29 London Finance 15 15 31420 28170
In post 2023 Attorney General’s Departments 20-29 London Human Resources 30 30 32940 31640
In post 2023 Attorney General’s Departments 20-29 London Knowledge and Information Management 5 5 [c] [c]
In post 2023 Attorney General’s Departments 20-29 London Legal 265 265 41100 45230
In post 2023 Attorney General’s Departments 20-29 London Operational Delivery 320 320 27440 27760
In post 2023 Attorney General’s Departments 20-29 London Other 10 10 30760 31900
In post 2023 Attorney General’s Departments 20-29 London Policy 15 15 41030 38860
In post 2023 Attorney General’s Departments 20-29 London Project Delivery 10 10 [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 2023-07-28, 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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).