Civil Service Statistics data browser (2023)

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

Status Year Region_london Sexual_orientation Ethnicity Function_of_post Headcount FTE Mean_salary Median_salary
In post 2023 London Heterosexual / straight Asian Analysis 470 460 46030 42170
In post 2023 London Heterosexual / straight Asian Commercial 185 180 51150 43750
In post 2023 London Heterosexual / straight Asian Communications 125 125 42130 39310
In post 2023 London Heterosexual / straight Asian Counter Fraud 500 475 35320 32520
In post 2023 London Heterosexual / straight Asian Debt 115 105 28010 26920
In post 2023 London Heterosexual / straight Asian Digital, Data & Technology 730 725 48440 43760
In post 2023 London Heterosexual / straight Asian Finance 530 515 45800 43090
In post 2023 London Heterosexual / straight Asian Grants Management 5 5 [c] [c]
In post 2023 London Heterosexual / straight Asian Human Resources 370 355 41750 39110
In post 2023 London Heterosexual / straight Asian Internal Audit 45 45 48750 47140
In post 2023 London Heterosexual / straight Asian Legal 655 620 47550 52020
In post 2023 London Heterosexual / straight Asian No function 7730 7285 37660 32540
In post 2023 London Heterosexual / straight Asian Project Delivery 600 585 47990 43650
In post 2023 London Heterosexual / straight Asian Property 145 140 39930 36030
In post 2023 London Heterosexual / straight Asian Security 205 200 38150 35240
In post 2023 London Heterosexual / straight Asian Unknown 160 155 40950 39150
In post 2023 London Heterosexual / straight Black Analysis 135 135 41200 39040
In post 2023 London Heterosexual / straight Black Commercial 90 90 48030 43320
In post 2023 London Heterosexual / straight Black Communications 70 70 42450 39450
In post 2023 London Heterosexual / straight Black Counter Fraud 365 350 33860 32520
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 2023-07-27, 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".
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).