Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_london / Sex / Sexual_orientation / Responsibility_level_ungrouped

Status Year Region_london Sex Sexual_orientation Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 London Female Heterosexual / straight AA 475 420 24610 23500
In post 2023 London Female Heterosexual / straight AO 3595 3210 26850 25810
In post 2023 London Female Heterosexual / straight EO 7715 7165 31350 31310
In post 2023 London Female Heterosexual / straight G6 3345 3150 70610 68930
In post 2023 London Female Heterosexual / straight G7 7450 7115 57870 56410
In post 2023 London Female Heterosexual / straight HEO 6715 6495 36900 36180
In post 2023 London Female Heterosexual / straight SCS level 1610 1520 89340 81600
In post 2023 London Female Heterosexual / straight SEO 5700 5510 44200 43650
In post 2023 London Female Heterosexual / straight Unknown 1305 1235 35400 33820
In post 2023 London Female LGBO AA 20 20 [c] [c]
In post 2023 London Female LGBO AO 185 175 29120 26920
In post 2023 London Female LGBO EO 390 375 31200 30720
In post 2023 London Female LGBO G6 185 180 70500 68260
In post 2023 London Female LGBO G7 545 530 57310 55740
In post 2023 London Female LGBO HEO 550 545 35970 35410
In post 2023 London Female LGBO SCS level 100 100 88570 78840
In post 2023 London Female LGBO SEO 480 475 43770 43210
In post 2023 London Female LGBO Unknown 70 70 36840 34820
In post 2023 London Female Undeclared AA 60 55 23920 23500
In post 2023 London Female Undeclared AO 560 485 26390 25610
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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).
Responsibility_level_ungrouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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".
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).