Civil Service Statistics data browser (2025)

Data preview: All civil servants / Sexual_orientation / Region_london / Disability / Profession_of_post

Status Year Sexual_orientation Region_london Disability Profession_of_post Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight London Declared disabled Actuary 10 10 [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Clinical 15 15 [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Commercial 115 115 62320 61360
In post 2025 Heterosexual / straight London Declared disabled Communications 120 120 51370 48670
In post 2025 Heterosexual / straight London Declared disabled Corporate Finance [c] [c] [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Counter Fraud 175 160 38070 35680
In post 2025 Heterosexual / straight London Declared disabled Digital and Data 395 385 59700 59960
In post 2025 Heterosexual / straight London Declared disabled Economics 90 85 59590 60780
In post 2025 Heterosexual / straight London Declared disabled Finance 210 200 54710 48660
In post 2025 Heterosexual / straight London Declared disabled Geography [c] [c] [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Human Resources 430 410 55640 49220
In post 2025 Heterosexual / straight London Declared disabled Inspector of Education and Training 5 5 [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Intelligence Analysis 85 80 44720 42390
In post 2025 Heterosexual / straight London Declared disabled Internal Audit 15 15 [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Knowledge and Information Management 80 80 44520 40250
In post 2025 Heterosexual / straight London Declared disabled Legal 295 270 66380 68920
In post 2025 Heterosexual / straight London Declared disabled Occupational Psychology [c] [c] [c] [c]
In post 2025 Heterosexual / straight London Declared disabled Operational Delivery 3695 3400 38660 35680
In post 2025 Heterosexual / straight London Declared disabled Operational Research 30 30 54170 50720
In post 2025 Heterosexual / straight London Declared disabled Other 225 210 46420 41880
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 2025-07-18

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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".
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Two bodies did not report any professions information for their employees. These are as follows: Scottish Forestry and Forestry and Land Scotland.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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.
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).