Civil Service Statistics data browser (2022)

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

Status Year Disability Sex Region_london Function_of_post Headcount FTE Mean_salary Median_salary
In post 2022 Declared disabled Female London Analysis 125 115 48200 42340
In post 2022 Declared disabled Female London Commercial 45 45 42740 40600
In post 2022 Declared disabled Female London Communications 95 90 43450 39750
In post 2022 Declared disabled Female London Counter Fraud 205 185 34270 31880
In post 2022 Declared disabled Female London Debt 35 30 28170 26400
In post 2022 Declared disabled Female London Digital, Data & Technology 180 175 44450 40600
In post 2022 Declared disabled Female London Finance 135 130 45470 40650
In post 2022 Declared disabled Female London Grants Management [c] [c] [c] [c]
In post 2022 Declared disabled Female London Human Resources 290 280 46220 40910
In post 2022 Declared disabled Female London Internal Audit 15 15 [c] [c]
In post 2022 Declared disabled Female London Legal 280 255 50040 52040
In post 2022 Declared disabled Female London No function 3250 3060 38120 32790
In post 2022 Declared disabled Female London Project Delivery 245 230 47700 42730
In post 2022 Declared disabled Female London Property 65 65 46330 39640
In post 2022 Declared disabled Female London Security 75 75 39980 37640
In post 2022 Declared disabled Female London Unknown 820 760 38890 35070
In post 2022 Declared disabled Female Outside London Analysis 250 230 37890 36820
In post 2022 Declared disabled Female Outside London Commercial 210 200 37030 36720
In post 2022 Declared disabled Female Outside London Communications 260 240 32600 30040
In post 2022 Declared disabled Female Outside London Counter Fraud 960 840 29620 27570
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 2023-02-15, with GIT 71a76ea.

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, Defence Electronics and Components Agency, 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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
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.
Home Office, Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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.
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).