Civil Service Statistics data browser (2023)

Data preview: All civil servants / Sex / Region_london / Disability / Responsibility_level_ungrouped

Status Year Sex Region_london Disability Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 Female London Declared disabled AA 90 80 24340 23500
In post 2023 Female London Declared disabled AO 750 660 26580 25610
In post 2023 Female London Declared disabled EO 1570 1440 31520 32520
In post 2023 Female London Declared disabled G6 415 390 70530 69660
In post 2023 Female London Declared disabled G7 960 925 58190 56430
In post 2023 Female London Declared disabled HEO 1220 1185 36210 36180
In post 2023 Female London Declared disabled SCS level 180 170 91110 83310
In post 2023 Female London Declared disabled SEO 835 800 44330 43650
In post 2023 Female London Declared disabled Unknown 345 330 35940 33820
In post 2023 Female London Declared non-disabled AA 430 380 24570 23500
In post 2023 Female London Declared non-disabled AO 3490 3075 26820 25610
In post 2023 Female London Declared non-disabled EO 7120 6540 31300 31330
In post 2023 Female London Declared non-disabled G6 3130 2940 70720 68970
In post 2023 Female London Declared non-disabled G7 6740 6430 57980 56430
In post 2023 Female London Declared non-disabled HEO 5880 5680 36960 36180
In post 2023 Female London Declared non-disabled SCS level 1500 1415 88670 81060
In post 2023 Female London Declared non-disabled SEO 5145 4970 44230 43650
In post 2023 Female London Declared non-disabled Unknown 1070 1010 35680 33820
In post 2023 Female London Undeclared AA 85 75 24870 23670
In post 2023 Female London Undeclared AO 340 300 27690 26400
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_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".
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).