Civil Service Statistics data browser (2026)

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

Status Year Parent_department Region_london Responsibility_level_grouped Ethnicity Headcount FTE Mean_salary Median_salary
In post 2026 Attorney General’s Departments London AA/AO Asian 85 75 28760 28500
In post 2026 Attorney General’s Departments London AA/AO Black 80 70 29140 28500
In post 2026 Attorney General’s Departments London AA/AO Mixed 10 10 [c] [c]
In post 2026 Attorney General’s Departments London AA/AO Other ethnicity [c] [c] [c] [c]
In post 2026 Attorney General’s Departments London AA/AO Undeclared 10 10 [c] [c]
In post 2026 Attorney General’s Departments London AA/AO Unknown 155 150 28470 28500
In post 2026 Attorney General’s Departments London AA/AO White 75 75 28880 28500
In post 2026 Attorney General’s Departments London EO Asian 130 125 33760 34280
In post 2026 Attorney General’s Departments London EO Black 100 90 33860 33740
In post 2026 Attorney General’s Departments London EO Mixed 30 30 33790 34280
In post 2026 Attorney General’s Departments London EO Other ethnicity 10 10 [c] [c]
In post 2026 Attorney General’s Departments London EO Undeclared 10 10 [c] [c]
In post 2026 Attorney General’s Departments London EO Unknown 405 395 33420 33740
In post 2026 Attorney General’s Departments London EO White 215 205 34140 34280
In post 2026 Attorney General’s Departments London G6/G7 Asian 375 355 70570 67370
In post 2026 Attorney General’s Departments London G6/G7 Black 205 195 68890 67370
In post 2026 Attorney General’s Departments London G6/G7 Mixed 95 85 72040 70400
In post 2026 Attorney General’s Departments London G6/G7 Other ethnicity 35 30 70500 67370
In post 2026 Attorney General’s Departments London G6/G7 Undeclared 60 55 72460 71960
In post 2026 Attorney General’s Departments London G6/G7 Unknown 720 685 68640 63570
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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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).