Civil Service Statistics data browser (2021)

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

Status Year Disability Ethnicity Sex Parent_department Headcount FTE Mean_salary Median_salary
In post 2021 Declared disabled Asian Female Attorney General’s Departments 60 55 42910 40800
In post 2021 Declared disabled Asian Female Cabinet Office 35 35 42380 39010
In post 2021 Declared disabled Asian Female Chancellor’s other departments [c] [c] [c] [c]
In post 2021 Declared disabled Asian Female Charity Commission [c] [c] [c] [c]
In post 2021 Declared disabled Asian Female Competition and Markets Authority [c] [c] [c] [c]
In post 2021 Declared disabled Asian Female Department for Business, Energy and Industrial Strategy 35 35 38150 33570
In post 2021 Declared disabled Asian Female Department for Digital, Culture, Media and Sport [c] [c] [c] [c]
In post 2021 Declared disabled Asian Female Department for Education 30 30 36670 35880
In post 2021 Declared disabled Asian Female Department for Environment, Food and Rural Affairs 25 25 [c] [c]
In post 2021 Declared disabled Asian Female Department for International Trade 5 5 [c] [c]
In post 2021 Declared disabled Asian Female Department for Transport 15 10 [c] [c]
In post 2021 Declared disabled Asian Female Department for Work and Pensions 605 515 27990 27570
In post 2021 Declared disabled Asian Female Department of Health and Social Care 25 25 [c] [c]
In post 2021 Declared disabled Asian Female ESTYN [c] [c] [c] [c]
In post 2021 Declared disabled Asian Female Food Standards Agency [c] [c] [c] [c]
In post 2021 Declared disabled Asian Female Foreign, Commonwealth and Development Office 25 20 [c] [c]
In post 2021 Declared disabled Asian Female HM Land Registry 5 5 [c] [c]
In post 2021 Declared disabled Asian Female HM Revenue and Customs 150 130 31490 30440
In post 2021 Declared disabled Asian Female HM Treasury 10 10 [c] [c]
In post 2021 Declared disabled Asian Female Home Office 205 180 32170 29080
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 2023-02-16, with GIT 71a76ea.

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.
Five 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, Defence Electronics and Components Agency, 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.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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.
For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ from 2022 onwards.
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).