Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_london / Parent_department / Region_ITL1 / Ethnicity

Status Year Region_london Parent_department Region_ITL1 Ethnicity Headcount FTE Mean_salary Median_salary
In post 2023 London Attorney General’s Departments London Asian 755 710 45290 45230
In post 2023 London Attorney General’s Departments London Black 500 480 41580 33620
In post 2023 London Attorney General’s Departments London Mixed 190 180 49420 52020
In post 2023 London Attorney General’s Departments London Other ethnicity 70 65 46930 52020
In post 2023 London Attorney General’s Departments London Undeclared 140 130 53170 54870
In post 2023 London Attorney General’s Departments London Unknown 570 540 53810 54100
In post 2023 London Attorney General’s Departments London White 2610 2455 54120 54100
In post 2023 London Cabinet Office London Asian 545 540 46080 41870
In post 2023 London Cabinet Office London Black 270 265 44530 36680
In post 2023 London Cabinet Office London Mixed 240 240 45290 35650
In post 2023 London Cabinet Office London Other ethnicity 65 65 44970 41870
In post 2023 London Cabinet Office London Undeclared 185 185 54880 56430
In post 2023 London Cabinet Office London Unknown 810 795 53770 56200
In post 2023 London Cabinet Office London White 3465 3410 53310 56000
In post 2023 London Chancellor’s other departments London Asian 55 55 50180 46910
In post 2023 London Chancellor’s other departments London Black 15 15 [c] [c]
In post 2023 London Chancellor’s other departments London Mixed 15 15 [c] [c]
In post 2023 London Chancellor’s other departments London Other ethnicity 10 10 [c] [c]
In post 2023 London Chancellor’s other departments London Undeclared 20 20 [c] [c]
In post 2023 London Chancellor’s other departments London Unknown 15 15 [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 2023-07-27, 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".
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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).