Civil Service Statistics data browser (2026)

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

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

Status Year Sexual_orientation Region_london Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2026 Heterosexual / straight London AA/AO 7460 6885 33510 31670
In post 2026 Heterosexual / straight London EO 13485 12680 37580 37020
In post 2026 Heterosexual / straight London G6/G7 21245 20515 71090 68410
In post 2026 Heterosexual / straight London SCS level 3085 2970 103470 94550
In post 2026 Heterosexual / straight London SEO/HEO 22525 21850 47360 46970
In post 2026 Heterosexual / straight London Unknown 2005 1900 39130 35900
In post 2026 Heterosexual / straight Outside London AA/AO 77655 70085 29740 27990
In post 2026 Heterosexual / straight Outside London EO 82985 76650 33500 32140
In post 2026 Heterosexual / straight Outside London G6/G7 40475 38785 67540 64620
In post 2026 Heterosexual / straight Outside London SCS level 2375 2305 103200 95540
In post 2026 Heterosexual / straight Outside London SEO/HEO 91635 87390 43910 43260
In post 2026 Heterosexual / straight Outside London Unknown 16355 15230 34330 31650
In post 2026 Heterosexual / straight Overseas AA/AO 50 45 38900 39880
In post 2026 Heterosexual / straight Overseas EO 270 265 41570 41070
In post 2026 Heterosexual / straight Overseas G6/G7 750 745 70520 66000
In post 2026 Heterosexual / straight Overseas SCS level 190 190 103760 91240
In post 2026 Heterosexual / straight Overseas SEO/HEO 1000 1000 48310 46220
In post 2026 Heterosexual / straight Overseas Unknown 30 30 [c] [c]
In post 2026 Heterosexual / straight Unknown AA/AO 75 75 30490 29030
In post 2026 Heterosexual / straight Unknown EO 55 50 32340 32140
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_grouped 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_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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).