Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_london / Disability / Ethnicity / Responsibility_level_ungrouped

Status Year Region_london Disability Ethnicity Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 London Declared disabled Asian AA 25 25 [c] [c]
In post 2023 London Declared disabled Asian AO 235 210 26230 25610
In post 2023 London Declared disabled Asian EO 500 450 31480 32520
In post 2023 London Declared disabled Asian G6 55 55 70490 70020
In post 2023 London Declared disabled Asian G7 165 160 59020 57790
In post 2023 London Declared disabled Asian HEO 315 305 36740 36310
In post 2023 London Declared disabled Asian SCS level 10 10 [c] [c]
In post 2023 London Declared disabled Asian SEO 200 195 44410 43750
In post 2023 London Declared disabled Asian Unknown 40 40 33420 31950
In post 2023 London Declared disabled Black AA 35 35 24690 23500
In post 2023 London Declared disabled Black AO 250 225 26880 25610
In post 2023 London Declared disabled Black EO 490 460 31750 32520
In post 2023 London Declared disabled Black G6 20 20 [c] [c]
In post 2023 London Declared disabled Black G7 120 115 58760 56430
In post 2023 London Declared disabled Black HEO 200 200 37290 36740
In post 2023 London Declared disabled Black SCS level 5 5 [c] [c]
In post 2023 London Declared disabled Black SEO 130 130 44480 43650
In post 2023 London Declared disabled Black Unknown 175 170 35720 33820
In post 2023 London Declared disabled Mixed AA 10 5 [c] [c]
In post 2023 London Declared disabled Mixed AO 50 50 26980 25760
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 2023-07-29, 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_ungrouped 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_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
Region_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
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).