Civil Service Statistics data browser (2026)

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

Status Year Region_london Sex Function_of_post Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2026 London Female Analysis Heterosexual / straight 1775 1685 60940 62100
In post 2026 London Female Analysis LGBO 245 240 56300 53130
In post 2026 London Female Analysis Undeclared 275 260 56330 52220
In post 2026 London Female Analysis Unknown 425 415 49870 47670
In post 2026 London Female Commercial Heterosexual / straight 650 635 65100 64120
In post 2026 London Female Commercial LGBO 50 50 70080 65050
In post 2026 London Female Commercial Undeclared 75 75 57540 52250
In post 2026 London Female Commercial Unknown 225 225 58700 62990
In post 2026 London Female Communications Heterosexual / straight 935 900 56080 52010
In post 2026 London Female Communications LGBO 105 105 54500 50220
In post 2026 London Female Communications Undeclared 130 125 54000 50120
In post 2026 London Female Communications Unknown 375 365 55680 51500
In post 2026 London Female Counter Fraud Heterosexual / straight 1150 1040 41590 37020
In post 2026 London Female Counter Fraud LGBO 50 45 43750 42630
In post 2026 London Female Counter Fraud Undeclared 180 150 40010 37020
In post 2026 London Female Counter Fraud Unknown 345 315 39960 37520
In post 2026 London Female Debt Heterosexual / straight 235 205 34910 31470
In post 2026 London Female Debt LGBO 15 15 [c] [c]
In post 2026 London Female Debt Undeclared 40 35 33830 31470
In post 2026 London Female Debt Unknown 185 165 34150 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".
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
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).