Civil Service Statistics data browser (2025)

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

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

Status Year Sexual_orientation Region_london Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight London AA 915 845 29440 27820
In post 2025 Heterosexual / straight London AO 6400 5895 31900 30580
In post 2025 Heterosexual / straight London EO 13445 12695 35100 35180
In post 2025 Heterosexual / straight London G6 6990 6710 77960 77130
In post 2025 Heterosexual / straight London G7 14405 13960 64060 62820
In post 2025 Heterosexual / straight London HEO 11480 11120 41340 41740
In post 2025 Heterosexual / straight London SCS level 3225 3100 101120 91680
In post 2025 Heterosexual / straight London SEO 11390 11100 49200 48760
In post 2025 Heterosexual / straight London Unknown 1930 1835 38580 35900
In post 2025 Heterosexual / straight Outside London AA 9310 8415 26730 27840
In post 2025 Heterosexual / straight Outside London AO 68730 62025 28380 26640
In post 2025 Heterosexual / straight Outside London EO 81340 75280 31590 30980
In post 2025 Heterosexual / straight Outside London G6 9735 9380 76250 75050
In post 2025 Heterosexual / straight Outside London G7 28725 27535 61210 60470
In post 2025 Heterosexual / straight Outside London HEO 49600 47180 38010 37500
In post 2025 Heterosexual / straight Outside London SCS level 2340 2275 100670 92770
In post 2025 Heterosexual / straight Outside London SEO 39465 37840 46820 45440
In post 2025 Heterosexual / straight Outside London Unknown 15755 14605 34060 31650
In post 2025 Heterosexual / straight Overseas AO 35 35 32760 30240
In post 2025 Heterosexual / straight Overseas EO 250 245 34200 30980
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 2025-07-16

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.
Five 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, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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".
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).