Civil Service Statistics data browser (2022)

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

Status Year Sex Region_london Age Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2022 Female London 16-19 AA/AO 45 40 24260 24080
In post 2022 Female London 16-19 EO 35 35 26960 27380
In post 2022 Female London 16-19 SEO/HEO [c] [c] [c] [c]
In post 2022 Female London 16-19 Unknown [c] [c] [c] [c]
In post 2022 Female London 20-29 AA/AO 1415 1380 25970 25110
In post 2022 Female London 20-29 EO 3315 3270 29380 28670
In post 2022 Female London 20-29 G6/G7 2025 2020 55410 54070
In post 2022 Female London 20-29 SCS level 5 5 [c] [c]
In post 2022 Female London 20-29 SEO/HEO 6635 6605 36130 35050
In post 2022 Female London 20-29 Unknown 355 350 28870 27060
In post 2022 Female London 30-39 AA/AO 865 765 26140 25110
In post 2022 Female London 30-39 EO 2150 2010 30070 30600
In post 2022 Female London 30-39 G6/G7 5305 5090 58920 57430
In post 2022 Female London 30-39 SCS level 430 410 79160 75030
In post 2022 Female London 30-39 SEO/HEO 4410 4270 38950 39420
In post 2022 Female London 30-39 Unknown 415 395 33410 34100
In post 2022 Female London 40-49 AA/AO 1135 960 25220 25110
In post 2022 Female London 40-49 EO 2335 2120 30240 30570
In post 2022 Female London 40-49 G6/G7 4245 3915 61420 60470
In post 2022 Female London 40-49 SCS level 1010 940 86460 79590
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).
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).