Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_london / Organisation / Responsibility_level_ungrouped

Explore further: Parent_department, Responsibility_level_grouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Region_london Organisation Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 London Active Travel England G6 [c] [c] [c] [c]
In post 2023 London Active Travel England G7 [c] [c] [c] [c]
In post 2023 London Active Travel England HEO [c] [c] [c] [c]
In post 2023 London Advisory, Conciliation and Arbitration Service AO 10 10 24420 24960
In post 2023 London Advisory, Conciliation and Arbitration Service EO 25 25 29650 29900
In post 2023 London Advisory, Conciliation and Arbitration Service G6 [c] [c] [c] [c]
In post 2023 London Advisory, Conciliation and Arbitration Service G7 20 20 61060 59400
In post 2023 London Advisory, Conciliation and Arbitration Service HEO 65 60 38410 39360
In post 2023 London Advisory, Conciliation and Arbitration Service SCS level [c] [c] [c] [c]
In post 2023 London Advisory, Conciliation and Arbitration Service SEO 45 45 47980 48480
In post 2023 London Animal and Plant Health Agency AO 5 5 [c] [c]
In post 2023 London Animal and Plant Health Agency EO 40 35 31620 32720
In post 2023 London Animal and Plant Health Agency G6 [c] [c] [c] [c]
In post 2023 London Animal and Plant Health Agency G7 10 10 56860 55720
In post 2023 London Animal and Plant Health Agency HEO 15 15 35580 35520
In post 2023 London Animal and Plant Health Agency SEO 10 10 43030 40850
In post 2023 London Attorney General’s Office AO 10 10 [c] [c]
In post 2023 London Attorney General’s Office EO [c] [c] [c] [c]
In post 2023 London Attorney General’s Office G6 10 10 71410 71360
In post 2023 London Attorney General’s Office G7 10 10 [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).
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
Responsibility_level_ungrouped 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_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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".
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).