Civil Service Statistics data browser (2023)

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

Status Year Disability Sex Responsibility_level_grouped Region_london Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled Female AA/AO London 840 740 26330 25610
In post 2023 Declared disabled Female AA/AO Outside London 9120 7630 22740 21780
In post 2023 Declared disabled Female AA/AO Overseas [c] [c] [c] [c]
In post 2023 Declared disabled Female AA/AO Unknown 15 15 [c] [c]
In post 2023 Declared disabled Female EO London 1570 1440 31520 32520
In post 2023 Declared disabled Female EO Outside London 9250 8100 28220 28120
In post 2023 Declared disabled Female EO Overseas [c] [c] [c] [c]
In post 2023 Declared disabled Female EO Unknown 25 25 [c] [c]
In post 2023 Declared disabled Female G6/G7 London 1375 1315 61910 60000
In post 2023 Declared disabled Female G6/G7 Outside London 2215 2100 57970 56180
In post 2023 Declared disabled Female G6/G7 Overseas 25 25 [c] [c]
In post 2023 Declared disabled Female G6/G7 Unknown 5 5 [c] [c]
In post 2023 Declared disabled Female SCS level London 180 170 91110 83310
In post 2023 Declared disabled Female SCS level Outside London 100 100 86570 81600
In post 2023 Declared disabled Female SCS level Overseas 5 5 [c] [c]
In post 2023 Declared disabled Female SCS level Unknown [c] [c] [c] [c]
In post 2023 Declared disabled Female SEO/HEO London 2055 1985 39510 39150
In post 2023 Declared disabled Female SEO/HEO Outside London 6825 6410 37040 35000
In post 2023 Declared disabled Female SEO/HEO Overseas 35 35 37740 35170
In post 2023 Declared disabled Female SEO/HEO Unknown 25 20 [c] [c]
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 2023-07-29, 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".
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).