Civil Service Statistics data browser (2023)

Data preview: All civil servants / Parent_department / Responsibility_level_grouped / Region_london

Explore further: Organisation, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Parent_department Responsibility_level_grouped Region_london Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments AA/AO London 415 390 24180 24480
In post 2023 Attorney General’s Departments AA/AO Outside London 1235 1140 22890 22870
In post 2023 Attorney General’s Departments EO London 805 770 29240 28410
In post 2023 Attorney General’s Departments EO Outside London 1190 1110 28110 28200
In post 2023 Attorney General’s Departments G6/G7 London 2595 2420 61980 63120
In post 2023 Attorney General’s Departments G6/G7 Outside London 2525 2335 57180 56450
In post 2023 Attorney General’s Departments G6/G7 Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments SCS level London 265 255 88840 82560
In post 2023 Attorney General’s Departments SCS level Outside London 65 65 91550 86410
In post 2023 Attorney General’s Departments SEO/HEO London 745 730 38300 38860
In post 2023 Attorney General’s Departments SEO/HEO Outside London 885 850 36260 35550
In post 2023 Cabinet Office AA/AO London 100 100 25330 25280
In post 2023 Cabinet Office AA/AO Outside London 340 310 21740 21720
In post 2023 Cabinet Office AA/AO Unknown [c] [c] [c] [c]
In post 2023 Cabinet Office EO London 355 345 28810 28370
In post 2023 Cabinet Office EO Outside London 465 440 25820 26030
In post 2023 Cabinet Office EO Unknown 50 50 25130 24610
In post 2023 Cabinet Office G6/G7 London 2280 2240 62040 59050
In post 2023 Cabinet Office G6/G7 Outside London 1520 1490 60990 56730
In post 2023 Cabinet Office G6/G7 Unknown 50 50 58430 56430
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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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".
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).