Civil Service Statistics data browser (2024)

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

Status Year Region_london Disability Sexual_orientation Ethnicity Headcount FTE Mean_salary Median_salary
In post 2024 London Declared disabled Heterosexual / straight Asian 1465 1365 40520 35060
In post 2024 London Declared disabled Heterosexual / straight Black 1370 1300 38160 33980
In post 2024 London Declared disabled Heterosexual / straight Mixed 420 405 44780 40910
In post 2024 London Declared disabled Heterosexual / straight Other ethnicity 150 145 43780 38860
In post 2024 London Declared disabled Heterosexual / straight Undeclared 135 125 40150 33980
In post 2024 London Declared disabled Heterosexual / straight Unknown 65 60 40080 35300
In post 2024 London Declared disabled Heterosexual / straight White 4560 4345 49840 45040
In post 2024 London Declared disabled LGBO Asian 75 75 45070 42580
In post 2024 London Declared disabled LGBO Black 75 70 41790 35580
In post 2024 London Declared disabled LGBO Mixed 110 110 45510 42140
In post 2024 London Declared disabled LGBO Other ethnicity 30 30 [c] [c]
In post 2024 London Declared disabled LGBO Undeclared 10 10 [c] [c]
In post 2024 London Declared disabled LGBO Unknown 15 15 [c] [c]
In post 2024 London Declared disabled LGBO White 1025 1010 48800 44080
In post 2024 London Declared disabled Undeclared Asian 105 95 37810 33980
In post 2024 London Declared disabled Undeclared Black 100 90 37520 33980
In post 2024 London Declared disabled Undeclared Mixed 50 45 39950 34300
In post 2024 London Declared disabled Undeclared Other ethnicity 30 30 [c] [c]
In post 2024 London Declared disabled Undeclared Undeclared 270 255 43440 37760
In post 2024 London Declared disabled Undeclared Unknown 25 25 [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 2024-07-25

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.
Four 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, 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.
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).