Civil Service Statistics data browser (2023)

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

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 Disability Region_london Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled London AA 160 145 24290 23500
In post 2023 Declared disabled London AO 1205 1100 27010 25610
In post 2023 Declared disabled London EO 2415 2240 31610 32260
In post 2023 Declared disabled London G6 735 705 71030 70300
In post 2023 Declared disabled London G7 1745 1690 58480 56530
In post 2023 Declared disabled London HEO 2080 2030 36620 36180
In post 2023 Declared disabled London SCS level 335 325 93420 84160
In post 2023 Declared disabled London SEO 1455 1410 44470 43650
In post 2023 Declared disabled London Unknown 455 435 36290 33820
In post 2023 Declared disabled Outside London AA 1930 1695 21710 21380
In post 2023 Declared disabled Outside London AO 13375 11690 23480 22150
In post 2023 Declared disabled Outside London EO 14545 13090 28450 28120
In post 2023 Declared disabled Outside London G6 855 825 70740 69580
In post 2023 Declared disabled Outside London G7 3190 3055 55190 54510
In post 2023 Declared disabled Outside London HEO 7240 6835 34340 34170
In post 2023 Declared disabled Outside London SCS level 215 205 89990 83000
In post 2023 Declared disabled Outside London SEO 4715 4515 42240 41640
In post 2023 Declared disabled Outside London Unknown 3835 3575 31180 29050
In post 2023 Declared disabled Overseas AA [c] [c] [c] [c]
In post 2023 Declared disabled Overseas AO [c] [c] [c] [c]
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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).