Civil Service Statistics data browser (2024)

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

Status Year Sex Sexual_orientation Profession_of_post Region_london Headcount FTE Mean_salary Median_salary
In post 2024 Female Heterosexual / straight Commercial London 535 520 59110 58250
In post 2024 Female Heterosexual / straight Commercial Outside London 2315 2205 45830 41890
In post 2024 Female Heterosexual / straight Commercial Overseas 10 10 [c] [c]
In post 2024 Female Heterosexual / straight Commercial Unknown 15 15 [c] [c]
In post 2024 Female Heterosexual / straight Communications London 805 775 51620 47470
In post 2024 Female Heterosexual / straight Communications Outside London 1260 1175 40300 39240
In post 2024 Female Heterosexual / straight Communications Overseas [c] [c] [c] [c]
In post 2024 Female Heterosexual / straight Communications Unknown 5 5 [c] [c]
In post 2024 Female Heterosexual / straight Corporate Finance London 10 10 [c] [c]
In post 2024 Female Heterosexual / straight Corporate Finance Outside London 15 15 [c] [c]
In post 2024 Female Heterosexual / straight Counter Fraud London 670 625 37920 33990
In post 2024 Female Heterosexual / straight Counter Fraud Outside London 3395 3045 31420 29500
In post 2024 Female Heterosexual / straight Counter Fraud Unknown [c] [c] [c] [c]
In post 2024 Female Heterosexual / straight Digital, Data and Technology London 1335 1290 54580 50200
In post 2024 Female Heterosexual / straight Digital, Data and Technology Outside London 4575 4350 44390 40960
In post 2024 Female Heterosexual / straight Digital, Data and Technology Overseas 5 5 [c] [c]
In post 2024 Female Heterosexual / straight Digital, Data and Technology Unknown 25 25 [c] [c]
In post 2024 Female Heterosexual / straight Economics London 430 410 55510 57150
In post 2024 Female Heterosexual / straight Economics Outside London 190 185 44210 40680
In post 2024 Female Heterosexual / straight Economics Overseas [c] [c] [c] [c]
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 2024-07-25

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.
Four 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, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
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.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).