Civil Service Statistics data browser (2023)

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

Status Year Sex Ethnicity Disability Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 Female Asian Declared disabled AA/AO 535 435 23410 22500
In post 2023 Female Asian Declared disabled EO 750 660 29600 28370
In post 2023 Female Asian Declared disabled G6/G7 200 195 60040 57970
In post 2023 Female Asian Declared disabled SCS level 5 5 [c] [c]
In post 2023 Female Asian Declared disabled SEO/HEO 505 480 38320 37950
In post 2023 Female Asian Declared disabled Unknown 115 105 31120 29050
In post 2023 Female Asian Declared non-disabled AA/AO 3930 3290 23420 22520
In post 2023 Female Asian Declared non-disabled EO 4450 3990 29380 28200
In post 2023 Female Asian Declared non-disabled G6/G7 1705 1640 60140 58070
In post 2023 Female Asian Declared non-disabled SCS level 125 120 89750 82170
In post 2023 Female Asian Declared non-disabled SEO/HEO 3990 3840 38370 37680
In post 2023 Female Asian Declared non-disabled Unknown 505 470 29320 27190
In post 2023 Female Asian Undeclared AA/AO 210 175 23390 22520
In post 2023 Female Asian Undeclared EO 225 200 29590 28130
In post 2023 Female Asian Undeclared G6/G7 125 120 60870 59510
In post 2023 Female Asian Undeclared SCS level 20 20 [c] [c]
In post 2023 Female Asian Undeclared SEO/HEO 230 225 38630 38470
In post 2023 Female Asian Undeclared Unknown 35 35 30860 27640
In post 2023 Female Asian Unknown AA/AO 365 325 23750 22520
In post 2023 Female Asian Unknown EO 495 475 29470 28220
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).
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.
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).