Civil Service Statistics data browser (2021)

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

Status Year Sexual_orientation Sex Ethnicity Region_london Headcount FTE Mean_salary Median_salary
In post 2021 Heterosexual / straight Female Asian London 6590 6135 36810 31880
In post 2021 Heterosexual / straight Female Asian Outside London 6295 5640 28190 26160
In post 2021 Heterosexual / straight Female Asian Overseas 55 55 42590 34670
In post 2021 Heterosexual / straight Female Asian Unknown 80 70 29200 27570
In post 2021 Heterosexual / straight Female Black London 5555 5350 34240 31060
In post 2021 Heterosexual / straight Female Black Outside London 2700 2520 28810 27570
In post 2021 Heterosexual / straight Female Black Overseas 30 30 [c] [c]
In post 2021 Heterosexual / straight Female Black Unknown 35 30 29620 27570
In post 2021 Heterosexual / straight Female Chinese London 265 255 44180 40070
In post 2021 Heterosexual / straight Female Chinese Outside London 290 270 29650 25950
In post 2021 Heterosexual / straight Female Chinese Overseas 5 5 [c] [c]
In post 2021 Heterosexual / straight Female Chinese Unknown [c] [c] [c] [c]
In post 2021 Heterosexual / straight Female Mixed London 1630 1565 39640 35000
In post 2021 Heterosexual / straight Female Mixed Outside London 2110 1940 29760 27570
In post 2021 Heterosexual / straight Female Mixed Overseas 40 40 46620 40170
In post 2021 Heterosexual / straight Female Mixed Unknown 15 15 [c] [c]
In post 2021 Heterosexual / straight Female Other ethnicity London 560 530 39860 34300
In post 2021 Heterosexual / straight Female Other ethnicity Outside London 475 435 29470 26970
In post 2021 Heterosexual / straight Female Other ethnicity Overseas 10 10 [c] [c]
In post 2021 Heterosexual / straight Female Other ethnicity Unknown [c] [c] [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 2023-02-16, 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).
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.
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).