Civil Service Statistics data browser (2023)

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

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Sexual_orientation, Age

Status Year Region_london Disability Parent_department Headcount FTE Mean_salary Median_salary
In post 2023 London Declared disabled Attorney General’s Departments 475 445 49920 52020
In post 2023 London Declared disabled Cabinet Office 730 720 46850 40090
In post 2023 London Declared disabled Chancellor’s other departments 25 25 [c] [c]
In post 2023 London Declared disabled Charity Commission 5 5 [c] [c]
In post 2023 London Declared disabled Competition and Markets Authority 45 45 55100 44310
In post 2023 London Declared disabled Department for Business, Energy and Industrial Strategy 565 550 49190 45570
In post 2023 London Declared disabled Department for Digital, Culture, Media and Sport 155 150 48920 52760
In post 2023 London Declared disabled Department for Education 230 215 51890 55020
In post 2023 London Declared disabled Department for Environment, Food and Rural Affairs 325 315 45310 40260
In post 2023 London Declared disabled Department for International Trade 215 215 48370 41750
In post 2023 London Declared disabled Department for Levelling Up, Housing and Communities 250 245 47930 43180
In post 2023 London Declared disabled Department for Transport 230 220 46940 43750
In post 2023 London Declared disabled Department for Work and Pensions 1710 1565 35460 32520
In post 2023 London Declared disabled Department of Health and Social Care 245 235 48400 41950
In post 2023 London Declared disabled Food Standards Agency 25 25 [c] [c]
In post 2023 London Declared disabled Foreign, Commonwealth and Development Office 360 350 48970 43000
In post 2023 London Declared disabled HM Land Registry 25 20 [c] [c]
In post 2023 London Declared disabled HM Revenue and Customs 920 865 46270 40470
In post 2023 London Declared disabled HM Treasury 205 200 47510 44770
In post 2023 London Declared disabled Home Office 1185 1110 40960 36180
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".
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).