Civil Service Statistics data browser (2023)

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

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

Status Year Region_london Disability Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 London Declared disabled AA/AO 1365 1240 26690 25610
In post 2023 London Declared disabled EO 2415 2240 31610 32260
In post 2023 London Declared disabled G6/G7 2480 2400 62200 60380
In post 2023 London Declared disabled SCS level 335 325 93420 84160
In post 2023 London Declared disabled SEO/HEO 3535 3440 39850 39580
In post 2023 London Declared disabled Unknown 455 435 36290 33820
In post 2023 London Declared non-disabled AA/AO 6925 6360 27330 25900
In post 2023 London Declared non-disabled EO 12000 11280 31420 31450
In post 2023 London Declared non-disabled G6/G7 19420 18765 62520 60430
In post 2023 London Declared non-disabled SCS level 3015 2910 91320 82760
In post 2023 London Declared non-disabled SEO/HEO 20595 20080 40630 40260
In post 2023 London Declared non-disabled Unknown 1495 1425 35940 34800
In post 2023 London Undeclared AA/AO 820 745 27970 26400
In post 2023 London Undeclared EO 1040 985 32010 31950
In post 2023 London Undeclared G6/G7 1760 1715 63090 61530
In post 2023 London Undeclared SCS level 235 230 95380 84990
In post 2023 London Undeclared SEO/HEO 1910 1860 40920 40710
In post 2023 London Undeclared Unknown 120 115 36250 33820
In post 2023 London Unknown AA/AO 2695 2595 27900 26400
In post 2023 London Unknown EO 4350 4240 31310 29890
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_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".
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).