Civil Service Statistics data browser (2023)

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

Status Year Sex Disability Ethnicity Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 Female Declared disabled Asian AA/AO 535 435 23410 22500
In post 2023 Female Declared disabled Asian EO 750 660 29600 28370
In post 2023 Female Declared disabled Asian G6/G7 200 195 60040 57970
In post 2023 Female Declared disabled Asian SCS level 5 5 [c] [c]
In post 2023 Female Declared disabled Asian SEO/HEO 505 480 38320 37950
In post 2023 Female Declared disabled Asian Unknown 115 105 31120 29050
In post 2023 Female Declared disabled Black AA/AO 350 305 25070 25480
In post 2023 Female Declared disabled Black EO 570 520 30620 31030
In post 2023 Female Declared disabled Black G6/G7 125 125 59330 56660
In post 2023 Female Declared disabled Black SCS level 5 5 [c] [c]
In post 2023 Female Declared disabled Black SEO/HEO 355 345 39160 39150
In post 2023 Female Declared disabled Black Unknown 235 225 33050 30840
In post 2023 Female Declared disabled Mixed AA/AO 215 185 23420 22370
In post 2023 Female Declared disabled Mixed EO 270 245 29220 28120
In post 2023 Female Declared disabled Mixed G6/G7 115 110 59460 56330
In post 2023 Female Declared disabled Mixed SCS level 10 10 [c] [c]
In post 2023 Female Declared disabled Mixed SEO/HEO 280 270 36980 35410
In post 2023 Female Declared disabled Mixed Unknown 125 120 32080 30810
In post 2023 Female Declared disabled Other ethnicity AA/AO 25 25 [c] [c]
In post 2023 Female Declared disabled Other ethnicity EO 65 60 29970 29660
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).