Civil Service Statistics data browser (2023)

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

Status Year Responsibility_level_grouped Region_london Function_of_post Sex Headcount FTE Mean_salary Median_salary
In post 2023 AA/AO London Analysis Female 40 40 24890 23560
In post 2023 AA/AO London Analysis Male 35 35 24350 23500
In post 2023 AA/AO London Commercial Female 15 15 [c] [c]
In post 2023 AA/AO London Commercial Male 20 20 [c] [c]
In post 2023 AA/AO London Communications Female 25 25 [c] [c]
In post 2023 AA/AO London Communications Male 20 20 [c] [c]
In post 2023 AA/AO London Counter Fraud Female 290 245 25630 25610
In post 2023 AA/AO London Counter Fraud Male 155 155 25750 25610
In post 2023 AA/AO London Debt Female 280 245 26720 26920
In post 2023 AA/AO London Debt Male 155 145 26770 26920
In post 2023 AA/AO London Digital, Data & Technology Female 45 40 26020 26550
In post 2023 AA/AO London Digital, Data & Technology Male 60 60 26140 26560
In post 2023 AA/AO London Finance Female 75 65 26410 26920
In post 2023 AA/AO London Finance Male 45 45 25960 25610
In post 2023 AA/AO London Human Resources Female 50 45 25980 26070
In post 2023 AA/AO London Human Resources Male 35 35 26500 26400
In post 2023 AA/AO London Internal Audit Female [c] [c] [c] [c]
In post 2023 AA/AO London Internal Audit Male 5 5 [c] [c]
In post 2023 AA/AO London Legal Female 290 265 24450 24480
In post 2023 AA/AO London Legal Male 155 155 24640 24480
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 2023-07-28, 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).
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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.
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.
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).