Civil Service Statistics data browser (2026)

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

Status Year Ethnicity Region_london Disability Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2026 Asian London Declared disabled AA/AO 310 265 31190 30110
In post 2026 Asian London Declared disabled EO 700 625 37210 37020
In post 2026 Asian London Declared disabled G6/G7 345 335 69920 68010
In post 2026 Asian London Declared disabled SCS level 15 15 [c] [c]
In post 2026 Asian London Declared disabled SEO/HEO 690 665 45870 44730
In post 2026 Asian London Declared disabled Unknown 50 50 36600 35900
In post 2026 Asian London Declared non-disabled AA/AO 1815 1625 32050 31470
In post 2026 Asian London Declared non-disabled EO 3600 3340 37460 37020
In post 2026 Asian London Declared non-disabled G6/G7 2365 2300 70270 68180
In post 2026 Asian London Declared non-disabled SCS level 175 170 103440 93880
In post 2026 Asian London Declared non-disabled SEO/HEO 4305 4190 46700 45990
In post 2026 Asian London Declared non-disabled Unknown 215 205 35270 31920
In post 2026 Asian London Undeclared AA/AO 110 100 31950 31470
In post 2026 Asian London Undeclared EO 255 240 37530 37020
In post 2026 Asian London Undeclared G6/G7 185 185 71540 69250
In post 2026 Asian London Undeclared SCS level 20 20 [c] [c]
In post 2026 Asian London Undeclared SEO/HEO 280 270 46360 45060
In post 2026 Asian London Undeclared Unknown 20 20 [c] [c]
In post 2026 Asian London Unknown AA/AO 230 215 31780 31470
In post 2026 Asian London Unknown EO 490 470 37870 35900
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 2026-07-16

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.
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.
The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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.
The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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).