Civil Service Statistics data browser (2023)

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

Status Year Sexual_orientation Region_london Function_of_post Age Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight London Analysis 16-19 15 15 [c] [c]
In post 2023 Heterosexual / straight London Analysis 20-29 1185 1180 41330 39110
In post 2023 Heterosexual / straight London Analysis 30-39 855 830 55560 55720
In post 2023 Heterosexual / straight London Analysis 40-49 550 515 62250 61530
In post 2023 Heterosexual / straight London Analysis 50-59 320 305 61260 60140
In post 2023 Heterosexual / straight London Analysis 60-64 55 50 50900 47400
In post 2023 Heterosexual / straight London Analysis 65+ 25 20 [c] [c]
In post 2023 Heterosexual / straight London Commercial 20-29 190 190 41610 37660
In post 2023 Heterosexual / straight London Commercial 30-39 260 255 54890 54700
In post 2023 Heterosexual / straight London Commercial 40-49 325 320 66460 64460
In post 2023 Heterosexual / straight London Commercial 50-59 335 330 67700 58640
In post 2023 Heterosexual / straight London Commercial 60-64 65 60 67450 56200
In post 2023 Heterosexual / straight London Commercial 65+ 25 25 [c] [c]
In post 2023 Heterosexual / straight London Communications 16-19 [c] [c] [c] [c]
In post 2023 Heterosexual / straight London Communications 20-29 305 305 38440 37870
In post 2023 Heterosexual / straight London Communications 30-39 440 430 51500 53030
In post 2023 Heterosexual / straight London Communications 40-49 330 320 57580 55360
In post 2023 Heterosexual / straight London Communications 50-59 195 190 52760 47120
In post 2023 Heterosexual / straight London Communications 60-64 45 40 47710 42130
In post 2023 Heterosexual / straight London Communications 65+ 15 15 [c] [c]
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".
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).