Civil Service Statistics data browser (2023)

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

Explore further: Parent_department, Organisation, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Sexual_orientation, Age

Status Year Disability Responsibility_level_grouped Ethnicity Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled AA/AO Asian 935 810 23610 22520
In post 2023 Declared disabled AA/AO Black 495 445 25220 25480
In post 2023 Declared disabled AA/AO Mixed 350 315 24080 22520
In post 2023 Declared disabled AA/AO Other ethnicity 65 60 24640 23280
In post 2023 Declared disabled AA/AO Undeclared 590 520 23640 22150
In post 2023 Declared disabled AA/AO Unknown 425 370 24080 22520
In post 2023 Declared disabled AA/AO White 13830 12130 23430 22220
In post 2023 Declared disabled EO Asian 1200 1090 29550 28130
In post 2023 Declared disabled EO Black 750 695 30630 30930
In post 2023 Declared disabled EO Mixed 430 400 29350 28120
In post 2023 Declared disabled EO Other ethnicity 110 105 29800 29000
In post 2023 Declared disabled EO Undeclared 710 640 29190 28120
In post 2023 Declared disabled EO Unknown 395 365 30660 28910
In post 2023 Declared disabled EO White 13420 12095 28670 28120
In post 2023 Declared disabled G6/G7 Asian 340 330 60300 58270
In post 2023 Declared disabled G6/G7 Black 180 175 59490 57360
In post 2023 Declared disabled G6/G7 Mixed 205 195 60080 58560
In post 2023 Declared disabled G6/G7 Other ethnicity 70 65 60250 56430
In post 2023 Declared disabled G6/G7 Undeclared 285 275 58840 57230
In post 2023 Declared disabled G6/G7 Unknown 155 150 59940 57970
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 2023-07-26, 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.
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).