Civil Service Statistics data browser (2023)

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

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

Status Year Parent_department Responsibility_level_grouped Ethnicity Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments AA/AO Asian 250 230 23300 24280
In post 2023 Attorney General’s Departments AA/AO Black 130 125 24080 24480
In post 2023 Attorney General’s Departments AA/AO Mixed 50 45 23080 23650
In post 2023 Attorney General’s Departments AA/AO Other ethnicity 15 10 [c] [c]
In post 2023 Attorney General’s Departments AA/AO Undeclared 30 30 23420 22870
In post 2023 Attorney General’s Departments AA/AO Unknown 120 105 23520 22870
In post 2023 Attorney General’s Departments AA/AO White 1060 985 23060 22870
In post 2023 Attorney General’s Departments EO Asian 235 220 28330 28200
In post 2023 Attorney General’s Departments EO Black 155 150 29020 28410
In post 2023 Attorney General’s Departments EO Mixed 60 60 28470 28200
In post 2023 Attorney General’s Departments EO Other ethnicity 25 20 [c] [c]
In post 2023 Attorney General’s Departments EO Undeclared 45 40 29280 28850
In post 2023 Attorney General’s Departments EO Unknown 165 155 28830 28850
In post 2023 Attorney General’s Departments EO White 1310 1225 28500 28200
In post 2023 Attorney General’s Departments G6/G7 Asian 560 520 58180 55170
In post 2023 Attorney General’s Departments G6/G7 Black 230 225 59130 57900
In post 2023 Attorney General’s Departments G6/G7 Mixed 155 145 59340 56450
In post 2023 Attorney General’s Departments G6/G7 Other ethnicity 50 45 59850 56450
In post 2023 Attorney General’s Departments G6/G7 Undeclared 120 110 61080 58820
In post 2023 Attorney General’s Departments G6/G7 Unknown 540 500 62090 60800
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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).