Civil Service Statistics data browser (2023)

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

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

Status Year Disability Sexual_orientation Function_of_post Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled Heterosexual / straight Analysis 690 650 43840 39890
In post 2023 Declared disabled Heterosexual / straight Commercial 530 510 46990 41690
In post 2023 Declared disabled Heterosexual / straight Communications 250 235 41580 38470
In post 2023 Declared disabled Heterosexual / straight Counter Fraud 1615 1465 32690 28980
In post 2023 Declared disabled Heterosexual / straight Debt 700 605 24680 22520
In post 2023 Declared disabled Heterosexual / straight Digital, Data & Technology 1870 1800 41500 38460
In post 2023 Declared disabled Heterosexual / straight Finance 1000 930 39660 36600
In post 2023 Declared disabled Heterosexual / straight Grants Management 315 285 26040 22150
In post 2023 Declared disabled Heterosexual / straight Human Resources 1610 1520 39600 35010
In post 2023 Declared disabled Heterosexual / straight Internal Audit 65 60 46080 42930
In post 2023 Declared disabled Heterosexual / straight Legal 1020 945 45030 42430
In post 2023 Declared disabled Heterosexual / straight No function 30935 28040 31440 28120
In post 2023 Declared disabled Heterosexual / straight Project Delivery 1770 1690 43690 41000
In post 2023 Declared disabled Heterosexual / straight Property 590 560 38110 34300
In post 2023 Declared disabled Heterosexual / straight Security 655 635 34280 31020
In post 2023 Declared disabled Heterosexual / straight Unknown 1765 1670 41130 38330
In post 2023 Declared disabled LGBO Analysis 170 160 40410 38300
In post 2023 Declared disabled LGBO Commercial 50 50 46240 40450
In post 2023 Declared disabled LGBO Communications 50 45 41770 39300
In post 2023 Declared disabled LGBO Counter Fraud 185 175 32460 29320
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).
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.
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).