Civil Service Statistics data browser (2023)

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

Status Year Disability Ethnicity Sex Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled Asian Female AA/AO 535 435 23410 22500
In post 2023 Declared disabled Asian Female EO 750 660 29600 28370
In post 2023 Declared disabled Asian Female G6/G7 200 195 60040 57970
In post 2023 Declared disabled Asian Female SCS level 5 5 [c] [c]
In post 2023 Declared disabled Asian Female SEO/HEO 505 480 38320 37950
In post 2023 Declared disabled Asian Female Unknown 115 105 31120 29050
In post 2023 Declared disabled Asian Male AA/AO 400 370 23880 22520
In post 2023 Declared disabled Asian Male EO 450 425 29450 28120
In post 2023 Declared disabled Asian Male G6/G7 140 135 60670 59000
In post 2023 Declared disabled Asian Male SCS level 15 15 [c] [c]
In post 2023 Declared disabled Asian Male SEO/HEO 455 445 38490 37710
In post 2023 Declared disabled Asian Male Unknown 55 50 30210 29050
In post 2023 Declared disabled Asian Unknown AA/AO [c] [c] [c] [c]
In post 2023 Declared disabled Asian Unknown EO [c] [c] [c] [c]
In post 2023 Declared disabled Asian Unknown G6/G7 [c] [c] [c] [c]
In post 2023 Declared disabled Asian Unknown SCS level [c] [c] [c] [c]
In post 2023 Declared disabled Asian Unknown SEO/HEO [c] [c] [c] [c]
In post 2023 Declared disabled Asian Unknown Unknown [c] [c] [c] [c]
In post 2023 Declared disabled Black Female AA/AO 350 305 25070 25480
In post 2023 Declared disabled Black Female EO 570 520 30620 31030
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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 2023-07-26, 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).