Civil Service Statistics data browser (2023)

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

Status Year Parent_department Ethnicity Disability Region_london Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments Asian Declared disabled London 65 60 48210 52020
In post 2023 Attorney General’s Departments Asian Declared disabled Outside London 50 45 36630 33810
In post 2023 Attorney General’s Departments Asian Declared disabled Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Declared non-disabled London 590 555 45100 45230
In post 2023 Attorney General’s Departments Asian Declared non-disabled Outside London 315 295 39450 35000
In post 2023 Attorney General’s Departments Asian Declared non-disabled Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Undeclared London 20 15 [c] [c]
In post 2023 Attorney General’s Departments Asian Undeclared Outside London [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Undeclared Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Asian Unknown London 85 80 41150 40540
In post 2023 Attorney General’s Departments Asian Unknown Outside London 105 100 39360 39320
In post 2023 Attorney General’s Departments Asian Unknown Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Black Declared disabled London 65 60 40190 30560
In post 2023 Attorney General’s Departments Black Declared disabled Outside London 15 10 [c] [c]
In post 2023 Attorney General’s Departments Black Declared disabled Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Black Declared non-disabled London 380 365 42420 34450
In post 2023 Attorney General’s Departments Black Declared non-disabled Outside London 90 90 41110 36240
In post 2023 Attorney General’s Departments Black Declared non-disabled Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Black Undeclared London 15 15 [c] [c]
In post 2023 Attorney General’s Departments Black Undeclared Outside London [c] [c] [c] [c]
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.
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).