Civil Service Statistics data browser (2021)

Data preview: All civil servants / Sex / Sexual_orientation / Region_london / Disability

Status Year Sex Sexual_orientation Region_london Disability Headcount FTE Mean_salary Median_salary
In post 2021 Female Heterosexual / straight London Declared disabled 4025 3770 39650 34100
In post 2021 Female Heterosexual / straight London Declared non-disabled 29320 27700 42680 36650
In post 2021 Female Heterosexual / straight London Undeclared 1285 1215 40170 35050
In post 2021 Female Heterosexual / straight London Unknown 2260 2175 42600 38600
In post 2021 Female Heterosexual / straight Outside London Declared disabled 18545 16340 28880 27570
In post 2021 Female Heterosexual / straight Outside London Declared non-disabled 106980 96220 30310 27570
In post 2021 Female Heterosexual / straight Outside London Undeclared 4830 4350 28980 27380
In post 2021 Female Heterosexual / straight Outside London Unknown 7245 6655 32510 29170
In post 2021 Female Heterosexual / straight Overseas Declared disabled 60 60 47690 51500
In post 2021 Female Heterosexual / straight Overseas Declared non-disabled 795 785 49310 50430
In post 2021 Female Heterosexual / straight Overseas Undeclared 15 15 [c] [c]
In post 2021 Female Heterosexual / straight Overseas Unknown 75 75 52740 51670
In post 2021 Female Heterosexual / straight Unknown Declared disabled 90 85 31270 27570
In post 2021 Female Heterosexual / straight Unknown Declared non-disabled 440 405 32670 27570
In post 2021 Female Heterosexual / straight Unknown Undeclared 15 10 [c] [c]
In post 2021 Female Heterosexual / straight Unknown Unknown 20 20 [c] [c]
In post 2021 Female LGBO London Declared disabled 470 455 39970 34740
In post 2021 Female LGBO London Declared non-disabled 1390 1355 43220 37380
In post 2021 Female LGBO London Undeclared 125 120 39960 34540
In post 2021 Female LGBO London Unknown 150 150 42180 38350
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 2023-02-17, 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).
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”.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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.
Sexual_orientation Self reported sexual orientation.
“Undeclared” accounts for employees who have actively declared that they do not want to disclose their sexual orientation and “Unknown” accounts for employees who have not made an active declaration about their sexual orientation.
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).