Civil Service Statistics data browser (2026)

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

Status Year Region_london Function_of_post Sexual_orientation Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2026 London Analysis Heterosexual / straight London 3865 3740 61240 62100
In post 2026 London Analysis LGBO London 480 465 57620 55810
In post 2026 London Analysis Undeclared London 580 560 58050 54760
In post 2026 London Analysis Unknown London 1055 1035 49990 46060
In post 2026 London Commercial Heterosexual / straight London 1300 1275 68450 64820
In post 2026 London Commercial LGBO London 105 105 66540 64820
In post 2026 London Commercial Undeclared London 145 145 65370 62960
In post 2026 London Commercial Unknown London 465 460 62570 62990
In post 2026 London Communications Heterosexual / straight London 1485 1450 57170 52800
In post 2026 London Communications LGBO London 225 225 54670 50250
In post 2026 London Communications Undeclared London 215 210 55910 51400
In post 2026 London Communications Unknown London 650 635 54420 50190
In post 2026 London Counter Fraud Heterosexual / straight London 2125 1980 43080 37520
In post 2026 London Counter Fraud LGBO London 105 100 43040 40840
In post 2026 London Counter Fraud Undeclared London 325 290 43090 37920
In post 2026 London Counter Fraud Unknown London 690 645 41590 40840
In post 2026 London Debt Heterosexual / straight London 390 345 35370 31470
In post 2026 London Debt LGBO London 30 25 [c] [c]
In post 2026 London Debt Undeclared London 60 55 36150 31470
In post 2026 London Debt Unknown London 295 270 35250 31470
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).
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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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.
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).