Civil Service Statistics data browser (2023)

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

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Ethnicity, Disability, Age

Status Year Sexual_orientation Region_london Function_of_post Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight London Analysis 3005 2920 51550 47260
In post 2023 Heterosexual / straight London Commercial 1200 1180 60290 56000
In post 2023 Heterosexual / straight London Communications 1330 1300 49940 45770
In post 2023 Heterosexual / straight London Counter Fraud 2275 2170 39690 35610
In post 2023 Heterosexual / straight London Debt 335 305 30240 26920
In post 2023 Heterosexual / straight London Digital, Data & Technology 3505 3445 50860 46540
In post 2023 Heterosexual / straight London Finance 2135 2075 51160 45960
In post 2023 Heterosexual / straight London Grants Management 40 40 50140 43500
In post 2023 Heterosexual / straight London Human Resources 2260 2180 48960 43760
In post 2023 Heterosexual / straight London Internal Audit 140 140 54050 53250
In post 2023 Heterosexual / straight London Legal 3550 3360 53110 53550
In post 2023 Heterosexual / straight London No function 41600 39825 43590 38540
In post 2023 Heterosexual / straight London Project Delivery 3560 3440 55340 54960
In post 2023 Heterosexual / straight London Property 835 805 46040 41910
In post 2023 Heterosexual / straight London Security 1180 1155 44590 40620
In post 2023 Heterosexual / straight London Unknown 940 910 46940 41950
In post 2023 Heterosexual / straight Outside London Analysis 3910 3730 41950 39300
In post 2023 Heterosexual / straight Outside London Commercial 3945 3805 44340 40450
In post 2023 Heterosexual / straight Outside London Communications 1390 1320 38950 37300
In post 2023 Heterosexual / straight Outside London Counter Fraud 9060 8395 32930 28130
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 2023-07-26, 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.
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).