Civil Service Statistics data browser (2024)

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

Status Year Region_london Ethnicity Responsibility_level_ungrouped Disability Headcount FTE Mean_salary Median_salary
In post 2024 London Asian AA Declared disabled 25 25 [c] [c]
In post 2024 London Asian AA Declared non-disabled 175 155 26780 26180
In post 2024 London Asian AA Undeclared 20 15 [c] [c]
In post 2024 London Asian AA Unknown 15 15 [c] [c]
In post 2024 London Asian AO Declared disabled 250 215 28260 27220
In post 2024 London Asian AO Declared non-disabled 1550 1375 28770 28250
In post 2024 London Asian AO Undeclared 90 80 28660 27220
In post 2024 London Asian AO Unknown 235 220 28350 28610
In post 2024 London Asian EO Declared disabled 560 505 33190 33980
In post 2024 London Asian EO Declared non-disabled 3190 2945 32960 33510
In post 2024 London Asian EO Undeclared 190 180 33280 33980
In post 2024 London Asian EO Unknown 495 475 32920 32160
In post 2024 London Asian G6 Declared disabled 70 70 73020 71550
In post 2024 London Asian G6 Declared non-disabled 550 535 74790 73020
In post 2024 London Asian G6 Undeclared 45 45 73080 70470
In post 2024 London Asian G6 Unknown 90 85 73280 73080
In post 2024 London Asian G7 Declared disabled 195 190 61400 59690
In post 2024 London Asian G7 Declared non-disabled 1605 1570 60970 60000
In post 2024 London Asian G7 Undeclared 120 115 61030 60000
In post 2024 London Asian G7 Unknown 300 295 60170 58590
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 2024-07-25

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".
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).