Civil Service Statistics data browser (2023)

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

Status Year Sexual_orientation Ethnicity Region_london Disability Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight Asian London Declared disabled 1305 1220 38240 33050
In post 2023 Heterosexual / straight Asian London Declared non-disabled 9635 9170 40230 35620
In post 2023 Heterosexual / straight Asian London Undeclared 510 490 41830 36920
In post 2023 Heterosexual / straight Asian London Unknown 1120 1095 42080 38110
In post 2023 Heterosexual / straight Asian Outside London Declared disabled 1735 1580 30550 28120
In post 2023 Heterosexual / straight Asian Outside London Declared non-disabled 13320 12480 31250 28120
In post 2023 Heterosexual / straight Asian Outside London Undeclared 625 580 32370 28120
In post 2023 Heterosexual / straight Asian Outside London Unknown 1240 1195 33440 30330
In post 2023 Heterosexual / straight Asian Overseas Declared disabled 10 10 [c] [c]
In post 2023 Heterosexual / straight Asian Overseas Declared non-disabled 90 90 45980 38130
In post 2023 Heterosexual / straight Asian Overseas Undeclared [c] [c] [c] [c]
In post 2023 Heterosexual / straight Asian Overseas Unknown 35 35 57580 58030
In post 2023 Heterosexual / straight Asian Unknown Declared disabled 5 5 [c] [c]
In post 2023 Heterosexual / straight Asian Unknown Declared non-disabled 45 45 32470 28120
In post 2023 Heterosexual / straight Asian Unknown Undeclared 5 5 [c] [c]
In post 2023 Heterosexual / straight Asian Unknown Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Black London Declared disabled 1215 1155 36200 32520
In post 2023 Heterosexual / straight Black London Declared non-disabled 6620 6420 37390 33530
In post 2023 Heterosexual / straight Black London Undeclared 335 320 37610 34820
In post 2023 Heterosexual / straight Black London Unknown 575 565 39140 35880
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 2023-07-28, with GIT d545f65.

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).