Civil Service Statistics data browser (2026)

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 2026 Heterosexual / straight London AA 875 810 32020 31270
In post 2026 Heterosexual / straight London AO 6585 6070 33710 31670
In post 2026 Heterosexual / straight London EO 13485 12680 37580 37020
In post 2026 Heterosexual / straight London G6 7000 6720 80710 80020
In post 2026 Heterosexual / straight London G7 14245 13800 66360 65130
In post 2026 Heterosexual / straight London HEO 11145 10770 43440 43000
In post 2026 Heterosexual / straight London SCS level 3085 2970 103470 94550
In post 2026 Heterosexual / straight London SEO 11380 11085 51190 50390
In post 2026 Heterosexual / straight London Unknown 2005 1900 39130 35900
In post 2026 Heterosexual / straight Outside London AA 9235 8350 28740 29260
In post 2026 Heterosexual / straight Outside London AO 68420 61735 29870 27840
In post 2026 Heterosexual / straight Outside London EO 82985 76650 33500 32140
In post 2026 Heterosexual / straight Outside London G6 10150 9765 79370 77680
In post 2026 Heterosexual / straight Outside London G7 30325 29015 63580 62110
In post 2026 Heterosexual / straight Outside London HEO 50275 47755 39900 38770
In post 2026 Heterosexual / straight Outside London SCS level 2375 2305 103200 95540
In post 2026 Heterosexual / straight Outside London SEO 41360 39635 48770 46880
In post 2026 Heterosexual / straight Outside London Unknown 16355 15230 34330 31650
In post 2026 Heterosexual / straight Overseas AO 50 45 38900 39880
In post 2026 Heterosexual / straight Overseas EO 270 265 41570 41070
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 2026-07-16

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.
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.
The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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).