Civil Service Statistics data browser (2023)

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

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

Status Year Sexual_orientation Profession_of_post Disability Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight Commercial Declared disabled 620 590 45910 40620
In post 2023 Heterosexual / straight Commercial Declared non-disabled 3955 3825 48530 42620
In post 2023 Heterosexual / straight Commercial Undeclared 220 210 49770 43300
In post 2023 Heterosexual / straight Commercial Unknown 595 580 43510 37590
In post 2023 Heterosexual / straight Communications Declared disabled 235 225 42090 39730
In post 2023 Heterosexual / straight Communications Declared non-disabled 2100 2010 44400 41200
In post 2023 Heterosexual / straight Communications Undeclared 95 95 42370 39120
In post 2023 Heterosexual / straight Communications Unknown 325 320 42240 39360
In post 2023 Heterosexual / straight Corporate Finance Declared disabled 5 5 [c] [c]
In post 2023 Heterosexual / straight Corporate Finance Declared non-disabled 55 50 51530 45340
In post 2023 Heterosexual / straight Corporate Finance Undeclared [c] [c] [c] [c]
In post 2023 Heterosexual / straight Corporate Finance Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Counter Fraud Declared disabled 1030 925 30440 28120
In post 2023 Heterosexual / straight Counter Fraud Declared non-disabled 5160 4800 31780 28120
In post 2023 Heterosexual / straight Counter Fraud Undeclared 205 195 31100 28120
In post 2023 Heterosexual / straight Counter Fraud Unknown 135 125 35780 34390
In post 2023 Heterosexual / straight Digital, Data and Technology Declared disabled 1615 1555 42650 38790
In post 2023 Heterosexual / straight Digital, Data and Technology Declared non-disabled 11870 11565 45280 41800
In post 2023 Heterosexual / straight Digital, Data and Technology Undeclared 485 470 43980 41040
In post 2023 Heterosexual / straight Digital, Data and Technology Unknown 1445 1415 43840 40450
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).
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 20 bodies under the Scottish Government, 16 did not report any professions 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).