Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_ITL1 / Sexual_orientation / Region_london

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

Status Year Region_ITL1 Sexual_orientation Region_london Headcount FTE Mean_salary Median_salary
In post 2026 East (England) Heterosexual / straight Outside London 16865 15705 39560 35620
In post 2026 East (England) LGBO Outside London 1135 1090 37770 35530
In post 2026 East (England) Undeclared Outside London 2010 1835 39950 37020
In post 2026 East (England) Unknown Outside London 3070 2835 37760 34780
In post 2026 East Midlands (England) Heterosexual / straight Outside London 18445 17155 38490 33750
In post 2026 East Midlands (England) LGBO Outside London 1390 1340 37370 33280
In post 2026 East Midlands (England) Undeclared Outside London 2035 1855 39090 33640
In post 2026 East Midlands (England) Unknown Outside London 4320 4005 35750 32140
In post 2026 London Heterosexual / straight London 69800 66805 53460 48420
In post 2026 London LGBO London 6285 6160 55500 50390
In post 2026 London Undeclared London 9715 9265 53290 48160
In post 2026 London Unknown London 22010 21235 50280 44640
In post 2026 North East (England) Heterosexual / straight Outside London 25060 23045 38880 32800
In post 2026 North East (England) LGBO Outside London 1925 1865 37920 32470
In post 2026 North East (England) Undeclared Outside London 2390 2160 38430 32230
In post 2026 North East (England) Unknown Outside London 5925 5395 35460 31100
In post 2026 North West (England) Heterosexual / straight Outside London 52820 49275 39140 33040
In post 2026 North West (England) LGBO Outside London 4520 4395 38800 33750
In post 2026 North West (England) Undeclared Outside London 5495 5065 38830 32470
In post 2026 North West (England) Unknown Outside London 12500 11650 36500 32140
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 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).
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".
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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).