Civil Service Statistics data browser (2023)

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

Status Year Sex Parent_department Age Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 Female Attorney General’s Departments 16-19 AA/AO 40 40 21090 20980
In post 2023 Female Attorney General’s Departments 16-19 EO [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments 20-29 AA/AO 395 385 23090 22870
In post 2023 Female Attorney General’s Departments 20-29 EO 460 455 28030 27760
In post 2023 Female Attorney General’s Departments 20-29 G6/G7 135 135 52140 52020
In post 2023 Female Attorney General’s Departments 20-29 SEO/HEO 215 215 37070 38760
In post 2023 Female Attorney General’s Departments 30-39 AA/AO 160 140 23310 22870
In post 2023 Female Attorney General’s Departments 30-39 EO 235 225 28120 27760
In post 2023 Female Attorney General’s Departments 30-39 G6/G7 900 845 55940 53600
In post 2023 Female Attorney General’s Departments 30-39 SCS level 5 5 [c] [c]
In post 2023 Female Attorney General’s Departments 30-39 SEO/HEO 255 245 37720 38760
In post 2023 Female Attorney General’s Departments 40-49 AA/AO 200 165 23270 22870
In post 2023 Female Attorney General’s Departments 40-49 EO 270 240 28620 28850
In post 2023 Female Attorney General’s Departments 40-49 G6/G7 1150 1015 59360 58030
In post 2023 Female Attorney General’s Departments 40-49 SCS level 70 65 81880 78790
In post 2023 Female Attorney General’s Departments 40-49 SEO/HEO 240 225 37040 38760
In post 2023 Female Attorney General’s Departments 50-59 AA/AO 280 250 23440 22870
In post 2023 Female Attorney General’s Departments 50-59 EO 375 340 29070 28850
In post 2023 Female Attorney General’s Departments 50-59 G6/G7 870 790 61730 60800
In post 2023 Female Attorney General’s Departments 50-59 SCS level 110 105 93230 85200
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).