Civil Service Statistics data browser (2024)

Data preview: All civil servants / Sex / Disability / Ethnicity / Responsibility_level_ungrouped

Status Year Sex Disability Ethnicity Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2024 Female Declared disabled Asian AA 35 25 24240 24250
In post 2024 Female Declared disabled Asian AO 565 465 25340 24280
In post 2024 Female Declared disabled Asian EO 870 765 31100 29500
In post 2024 Female Declared disabled Asian G6 60 60 74030 72460
In post 2024 Female Declared disabled Asian G7 170 165 59230 58630
In post 2024 Female Declared disabled Asian HEO 375 355 36980 36580
In post 2024 Female Declared disabled Asian SCS level 10 10 [c] [c]
In post 2024 Female Declared disabled Asian SEO 250 245 44650 44420
In post 2024 Female Declared disabled Asian Unknown 135 125 31480 30210
In post 2024 Female Declared disabled Black AA 45 40 27030 26180
In post 2024 Female Declared disabled Black AO 340 295 27160 27000
In post 2024 Female Declared disabled Black EO 685 630 32030 32550
In post 2024 Female Declared disabled Black G6 30 30 72790 70500
In post 2024 Female Declared disabled Black G7 120 115 59650 58590
In post 2024 Female Declared disabled Black HEO 270 260 38100 38250
In post 2024 Female Declared disabled Black SCS level 10 10 [c] [c]
In post 2024 Female Declared disabled Black SEO 155 150 46210 45720
In post 2024 Female Declared disabled Black Unknown 265 250 34360 32360
In post 2024 Female Declared disabled Mixed AA 25 20 [c] [c]
In post 2024 Female Declared disabled Mixed AO 210 185 25720 24280
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 2024-07-25

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).
Responsibility_level_ungrouped 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_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).