Civil Service Statistics data browser (2021)

Data preview: All civil servants / Sexual_orientation / Region_london / Ethnicity

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Disability, Age

Status Year Sexual_orientation Region_london Ethnicity Headcount FTE Mean_salary Median_salary
In post 2021 Heterosexual / straight London Asian 11160 10620 37240 32090
In post 2021 Heterosexual / straight London Black 8195 7960 34640 31060
In post 2021 Heterosexual / straight London Chinese 440 430 43180 39290
In post 2021 Heterosexual / straight London Mixed 2650 2570 40690 35520
In post 2021 Heterosexual / straight London Other ethnicity 910 870 40550 35010
In post 2021 Heterosexual / straight London Undeclared 880 845 38830 33620
In post 2021 Heterosexual / straight London Unknown 755 715 43590 36240
In post 2021 Heterosexual / straight London White 41315 39735 47320 42000
In post 2021 Heterosexual / straight Outside London Asian 12310 11465 28890 27230
In post 2021 Heterosexual / straight Outside London Black 4645 4425 29540 27570
In post 2021 Heterosexual / straight Outside London Chinese 480 455 30400 26600
In post 2021 Heterosexual / straight Outside London Mixed 3635 3425 30920 27570
In post 2021 Heterosexual / straight Outside London Other ethnicity 880 835 31310 27570
In post 2021 Heterosexual / straight Outside London Undeclared 1960 1830 30030 27570
In post 2021 Heterosexual / straight Outside London Unknown 2480 2265 30150 27380
In post 2021 Heterosexual / straight Outside London White 220785 204890 31560 27570
In post 2021 Heterosexual / straight Overseas Asian 130 130 45910 41090
In post 2021 Heterosexual / straight Overseas Black 60 60 42250 37500
In post 2021 Heterosexual / straight Overseas Chinese 10 10 [c] [c]
In post 2021 Heterosexual / straight Overseas Mixed 80 80 49220 51220
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 2023-02-14, 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”.
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.
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).