Civil Service Statistics data browser (2023)

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

Status Year Sex Region_london Sexual_orientation Profession_of_post Headcount FTE Mean_salary Median_salary
In post 2023 Female London Heterosexual / straight Commercial 570 555 56030 53120
In post 2023 Female London Heterosexual / straight Communications 770 740 49610 46450
In post 2023 Female London Heterosexual / straight Corporate Finance 15 15 [c] [c]
In post 2023 Female London Heterosexual / straight Counter Fraud 675 625 35230 32520
In post 2023 Female London Heterosexual / straight Digital, Data and Technology 1235 1195 51540 49170
In post 2023 Female London Heterosexual / straight Economics 405 390 52860 55020
In post 2023 Female London Heterosexual / straight Finance 940 895 50340 45510
In post 2023 Female London Heterosexual / straight Human Resources 1565 1500 48960 43760
In post 2023 Female London Heterosexual / straight Inspector of Education and Training 70 70 64540 59460
In post 2023 Female London Heterosexual / straight Intelligence Analysis 345 325 38690 34940
In post 2023 Female London Heterosexual / straight Internal Audit 65 60 51320 50220
In post 2023 Female London Heterosexual / straight International Trade 430 425 50370 55120
In post 2023 Female London Heterosexual / straight Knowledge and Information Management 275 260 40860 37180
In post 2023 Female London Heterosexual / straight Legal 1955 1810 57830 55170
In post 2023 Female London Heterosexual / straight Medicine 155 140 63440 54090
In post 2023 Female London Heterosexual / straight Operational Delivery 13620 12610 35300 32520
In post 2023 Female London Heterosexual / straight Operational Research 130 125 51160 47320
In post 2023 Female London Heterosexual / straight Other 950 900 43290 36180
In post 2023 Female London Heterosexual / straight Planning 40 40 49520 48260
In post 2023 Female London Heterosexual / straight Planning Inspectors 5 5 [c] [c]
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 2023-07-26, with GIT d545f65.

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).