Civil Service Statistics data browser (2021)

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

Status Year Region_london Ethnicity Disability Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2021 London Asian Declared disabled Heterosexual / straight 1070 995 36150 31880
In post 2021 London Asian Declared disabled LGBO 45 45 38650 33570
In post 2021 London Asian Declared disabled Undeclared 85 80 32360 30810
In post 2021 London Asian Declared disabled Unknown 80 70 33140 31060
In post 2021 London Asian Declared non-disabled Heterosexual / straight 9050 8620 37210 31880
In post 2021 London Asian Declared non-disabled LGBO 200 190 39010 33300
In post 2021 London Asian Declared non-disabled Undeclared 610 555 33610 30500
In post 2021 London Asian Declared non-disabled Unknown 805 710 34820 31060
In post 2021 London Asian Undeclared Heterosexual / straight 385 365 36640 31060
In post 2021 London Asian Undeclared LGBO 15 15 [c] [c]
In post 2021 London Asian Undeclared Undeclared 105 95 37700 31350
In post 2021 London Asian Undeclared Unknown 60 55 37480 31060
In post 2021 London Asian Unknown Heterosexual / straight 655 640 39750 34750
In post 2021 London Asian Unknown LGBO 25 25 [c] [c]
In post 2021 London Asian Unknown Undeclared 35 30 39940 37150
In post 2021 London Asian Unknown Unknown 340 320 41970 36160
In post 2021 London Black Declared disabled Heterosexual / straight 1005 960 33460 31060
In post 2021 London Black Declared disabled LGBO 50 45 37780 31060
In post 2021 London Black Declared disabled Undeclared 75 70 33160 31060
In post 2021 London Black Declared disabled Unknown 80 70 31150 31060
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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”.
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).