Civil Service Statistics data browser (2023)

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

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

Status Year Region_london Responsibility_level_ungrouped Disability Headcount FTE Mean_salary Median_salary
In post 2023 London AA Declared disabled 160 145 24290 23500
In post 2023 London AA Declared non-disabled 885 815 24580 23500
In post 2023 London AA Undeclared 195 175 25060 23670
In post 2023 London AA Unknown 310 300 24850 23500
In post 2023 London AO Declared disabled 1205 1100 27010 25610
In post 2023 London AO Declared non-disabled 6035 5545 27740 26400
In post 2023 London AO Undeclared 625 570 28860 26400
In post 2023 London AO Unknown 2385 2295 28300 26400
In post 2023 London EO Declared disabled 2415 2240 31610 32260
In post 2023 London EO Declared non-disabled 12000 11280 31420 31450
In post 2023 London EO Undeclared 1040 985 32010 31950
In post 2023 London EO Unknown 4350 4240 31310 29890
In post 2023 London G6 Declared disabled 735 705 71030 70300
In post 2023 London G6 Declared non-disabled 6240 5995 71290 70010
In post 2023 London G6 Undeclared 585 570 71800 70140
In post 2023 London G6 Unknown 1805 1735 70860 69260
In post 2023 London G7 Declared disabled 1745 1690 58480 56530
In post 2023 London G7 Declared non-disabled 13180 12775 58360 56760
In post 2023 London G7 Undeclared 1175 1150 58760 57220
In post 2023 London G7 Unknown 4505 4405 57910 56360
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_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".
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).