Civil Service Statistics data browser (2022)

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

Status Year Sex Region_london Sexual_orientation Ethnicity Headcount FTE Mean_salary Median_salary
In post 2022 Female London Heterosexual / straight Asian 7290 6815 37980 33570
In post 2022 Female London Heterosexual / straight Black 5960 5740 35140 31060
In post 2022 Female London Heterosexual / straight Mixed 1730 1650 40910 35660
In post 2022 Female London Heterosexual / straight Other ethnicity 575 545 39300 34550
In post 2022 Female London Heterosexual / straight Undeclared 495 460 37140 31880
In post 2022 Female London Heterosexual / straight Unknown 390 365 42890 37000
In post 2022 Female London Heterosexual / straight White 21960 20760 46970 42010
In post 2022 Female London LGBO Asian 165 150 36590 32250
In post 2022 Female London LGBO Black 130 125 36410 31060
In post 2022 Female London LGBO Mixed 165 165 40990 36750
In post 2022 Female London LGBO Other ethnicity 45 45 38380 33570
In post 2022 Female London LGBO Undeclared 20 20 [c] [c]
In post 2022 Female London LGBO Unknown 30 30 [c] [c]
In post 2022 Female London LGBO White 1920 1880 44200 40050
In post 2022 Female London Undeclared Asian 600 540 34900 31060
In post 2022 Female London Undeclared Black 385 360 33900 31060
In post 2022 Female London Undeclared Mixed 155 150 38290 34020
In post 2022 Female London Undeclared Other ethnicity 70 65 41240 32960
In post 2022 Female London Undeclared Undeclared 1080 1015 41370 36620
In post 2022 Female London Undeclared Unknown 710 690 45070 40650
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 2023-02-15, 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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
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.
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).