Civil Service Statistics data browser (2023)

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

Status Year Responsibility_level_grouped Function_of_post Sex Region_london Headcount FTE Mean_salary Median_salary
In post 2023 AA/AO Analysis Female London 40 40 24890 23560
In post 2023 AA/AO Analysis Female Outside London 85 80 21910 22150
In post 2023 AA/AO Analysis Male London 35 35 24350 23500
In post 2023 AA/AO Analysis Male Outside London 75 75 22390 22180
In post 2023 AA/AO Commercial Female London 15 15 [c] [c]
In post 2023 AA/AO Commercial Female Outside London 180 165 23640 22500
In post 2023 AA/AO Commercial Female Unknown [c] [c] [c] [c]
In post 2023 AA/AO Commercial Male London 20 20 [c] [c]
In post 2023 AA/AO Commercial Male Outside London 140 135 23400 22500
In post 2023 AA/AO Commercial Male Unknown [c] [c] [c] [c]
In post 2023 AA/AO Communications Female London 25 25 [c] [c]
In post 2023 AA/AO Communications Female Outside London 80 75 22270 22220
In post 2023 AA/AO Communications Male London 20 20 [c] [c]
In post 2023 AA/AO Communications Male Outside London 45 45 22850 22220
In post 2023 AA/AO Counter Fraud Female London 290 245 25630 25610
In post 2023 AA/AO Counter Fraud Female Outside London 1155 945 22590 22520
In post 2023 AA/AO Counter Fraud Male London 155 155 25750 25610
In post 2023 AA/AO Counter Fraud Male Outside London 675 640 22540 22520
In post 2023 AA/AO Debt Female London 280 245 26720 26920
In post 2023 AA/AO Debt Female Outside London 3330 2830 22270 22520
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).
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).