Civil Service Statistics data browser (2022)

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

Explore further: Parent_department, Organisation, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Ethnicity, Disability, Sexual_orientation, Age

Status Year Sex Region_london Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2022 Female London AA/AO 6730 6025 25380 25110
In post 2022 Female London EO 12565 11745 30090 30370
In post 2022 Female London G6/G7 14955 14230 60060 57910
In post 2022 Female London SCS level 2175 2060 88230 80000
In post 2022 Female London SEO/HEO 19010 18435 38400 37930
In post 2022 Female London Unknown 1730 1640 34240 33700
In post 2022 Female Outside London AA/AO 70630 60580 21960 21260
In post 2022 Female Outside London EO 61920 55485 27300 27570
In post 2022 Female Outside London G6/G7 18335 17355 57380 55210
In post 2022 Female Outside London SCS level 1100 1060 88450 81910
In post 2022 Female Outside London SEO/HEO 52960 49790 36130 34600
In post 2022 Female Outside London Unknown 13420 12315 29570 28200
In post 2022 Female Overseas AA/AO 40 40 22080 21680
In post 2022 Female Overseas EO 135 135 27770 27070
In post 2022 Female Overseas G6/G7 555 550 59300 57640
In post 2022 Female Overseas SCS level 125 125 85600 76030
In post 2022 Female Overseas SEO/HEO 575 570 38090 35390
In post 2022 Female Overseas Unknown 80 80 [c] [c]
In post 2022 Female Unknown AA/AO 140 125 22580 21300
In post 2022 Female Unknown EO 265 245 28560 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 2023-02-14, 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).
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”.
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).