Civil Service Statistics data browser (2025)

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

Status Year Region_london Ethnicity Disability Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2025 London Asian Declared disabled AA/AO 280 240 29550 28580
In post 2025 London Asian Declared disabled EO 625 560 34890 35680
In post 2025 London Asian Declared disabled G6/G7 300 290 67550 66030
In post 2025 London Asian Declared disabled SCS level 20 20 [c] [c]
In post 2025 London Asian Declared disabled SEO/HEO 655 630 43760 43000
In post 2025 London Asian Declared disabled Unknown 50 45 36640 33910
In post 2025 London Asian Declared non-disabled AA/AO 1665 1480 30350 30070
In post 2025 London Asian Declared non-disabled EO 3415 3180 34720 35180
In post 2025 London Asian Declared non-disabled G6/G7 2275 2210 67820 66030
In post 2025 London Asian Declared non-disabled SCS level 180 175 100990 90930
In post 2025 London Asian Declared non-disabled SEO/HEO 4095 3985 44440 43510
In post 2025 London Asian Declared non-disabled Unknown 200 190 35410 30770
In post 2025 London Asian Undeclared AA/AO 100 90 30090 29060
In post 2025 London Asian Undeclared EO 230 220 34990 35680
In post 2025 London Asian Undeclared G6/G7 190 190 68380 66580
In post 2025 London Asian Undeclared SCS level 20 20 [c] [c]
In post 2025 London Asian Undeclared SEO/HEO 270 265 44760 44510
In post 2025 London Asian Undeclared Unknown 15 15 [c] [c]
In post 2025 London Asian Unknown AA/AO 250 230 30220 30580
In post 2025 London Asian Unknown EO 525 505 34940 34370
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 2025-07-16

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.
Five 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, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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".
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).