Civil Service Statistics data browser (2023)

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

Status Year Region_london Parent_department Responsibility_level_grouped Sex Headcount FTE Mean_salary Median_salary
In post 2023 London Attorney General’s Departments AA/AO Female 280 255 24230 24480
In post 2023 London Attorney General’s Departments AA/AO Male 135 135 24090 24480
In post 2023 London Attorney General’s Departments EO Female 550 520 29200 28410
In post 2023 London Attorney General’s Departments EO Male 255 250 29310 28470
In post 2023 London Attorney General’s Departments G6/G7 Female 1695 1540 61320 61920
In post 2023 London Attorney General’s Departments G6/G7 Male 900 875 63220 64500
In post 2023 London Attorney General’s Departments SCS level Female 165 155 88310 81650
In post 2023 London Attorney General’s Departments SCS level Male 100 100 89680 84760
In post 2023 London Attorney General’s Departments SEO/HEO Female 425 410 38000 38860
In post 2023 London Attorney General’s Departments SEO/HEO Male 320 315 38690 40000
In post 2023 London Cabinet Office AA/AO Female 45 40 25400 25280
In post 2023 London Cabinet Office AA/AO Male 55 55 25280 25280
In post 2023 London Cabinet Office EO Female 215 205 28920 28370
In post 2023 London Cabinet Office EO Male 140 140 28650 28370
In post 2023 London Cabinet Office G6/G7 Female 1120 1085 61670 58070
In post 2023 London Cabinet Office G6/G7 Male 1165 1150 62400 59620
In post 2023 London Cabinet Office SCS level Female 240 230 96290 90000
In post 2023 London Cabinet Office SCS level Male 285 285 108780 98450
In post 2023 London Cabinet Office SEO/HEO Female 1345 1330 34560 32960
In post 2023 London Cabinet Office SEO/HEO Male 970 970 35400 35240
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).
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".
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).