Civil Service Statistics data browser (2023)

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

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 Disability Responsibility_level_grouped Region_london Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled AA/AO London 1365 1240 26690 25610
In post 2023 Declared disabled AA/AO Outside London 15300 13385 23260 22150
In post 2023 Declared disabled AA/AO Overseas [c] [c] [c] [c]
In post 2023 Declared disabled AA/AO Unknown 20 20 [c] [c]
In post 2023 Declared disabled EO London 2415 2240 31610 32260
In post 2023 Declared disabled EO Outside London 14545 13090 28450 28120
In post 2023 Declared disabled EO Overseas 10 10 [c] [c]
In post 2023 Declared disabled EO Unknown 45 45 28180 28120
In post 2023 Declared disabled G6/G7 London 2480 2400 62200 60380
In post 2023 Declared disabled G6/G7 Outside London 4045 3875 58470 56650
In post 2023 Declared disabled G6/G7 Overseas 55 55 60420 57990
In post 2023 Declared disabled G6/G7 Unknown 10 10 [c] [c]
In post 2023 Declared disabled SCS level London 335 325 93420 84160
In post 2023 Declared disabled SCS level Outside London 215 205 89990 83000
In post 2023 Declared disabled SCS level Overseas 15 15 [c] [c]
In post 2023 Declared disabled SCS level Unknown [c] [c] [c] [c]
In post 2023 Declared disabled SEO/HEO London 3535 3440 39850 39580
In post 2023 Declared disabled SEO/HEO Outside London 11955 11350 37460 35430
In post 2023 Declared disabled SEO/HEO Overseas 100 100 39720 35810
In post 2023 Declared disabled SEO/HEO Unknown 40 35 37120 35680
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_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).