Civil Service Statistics data browser (2021)

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

Status Year Ethnicity Region_london Sexual_orientation Disability Headcount FTE Mean_salary Median_salary
In post 2021 Asian London Heterosexual / straight Declared disabled 1070 995 36150 31880
In post 2021 Asian London Heterosexual / straight Declared non-disabled 9050 8620 37210 31880
In post 2021 Asian London Heterosexual / straight Undeclared 385 365 36640 31060
In post 2021 Asian London Heterosexual / straight Unknown 655 640 39750 34750
In post 2021 Asian London LGBO Declared disabled 45 45 38650 33570
In post 2021 Asian London LGBO Declared non-disabled 200 190 39010 33300
In post 2021 Asian London LGBO Undeclared 15 15 [c] [c]
In post 2021 Asian London LGBO Unknown 25 25 [c] [c]
In post 2021 Asian London Undeclared Declared disabled 85 80 32360 30810
In post 2021 Asian London Undeclared Declared non-disabled 610 555 33610 30500
In post 2021 Asian London Undeclared Undeclared 105 95 37700 31350
In post 2021 Asian London Undeclared Unknown 35 30 39940 37150
In post 2021 Asian London Unknown Declared disabled 80 70 33140 31060
In post 2021 Asian London Unknown Declared non-disabled 805 710 34820 31060
In post 2021 Asian London Unknown Undeclared 60 55 37480 31060
In post 2021 Asian London Unknown Unknown 340 320 41970 36160
In post 2021 Asian Outside London Heterosexual / straight Declared disabled 1195 1095 28300 27570
In post 2021 Asian Outside London Heterosexual / straight Declared non-disabled 9990 9310 28730 26670
In post 2021 Asian Outside London Heterosexual / straight Undeclared 465 430 28100 27570
In post 2021 Asian Outside London Heterosexual / straight Unknown 660 630 32890 28900
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”.
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.
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).