Civil Service Statistics data browser (2026)

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

Status Year Region_london Sex Ethnicity Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2026 London Female Asian AA/AO 1470 1250 31060 31300
In post 2026 London Female Asian EO 2920 2620 36980 37020
In post 2026 London Female Asian G6/G7 1920 1850 69720 67370
In post 2026 London Female Asian SCS level 130 120 108570 94480
In post 2026 London Female Asian SEO/HEO 3605 3480 46030 44980
In post 2026 London Female Asian Unknown 210 195 35620 31920
In post 2026 London Female Black AA/AO 1425 1285 32480 31470
In post 2026 London Female Black EO 2465 2290 36720 37020
In post 2026 London Female Black G6/G7 905 890 68700 67220
In post 2026 London Female Black SCS level 40 40 98970 92840
In post 2026 London Female Black SEO/HEO 2355 2295 46120 44630
In post 2026 London Female Black Unknown 590 555 38060 35900
In post 2026 London Female Mixed AA/AO 230 205 32410 31470
In post 2026 London Female Mixed EO 475 440 37200 37020
In post 2026 London Female Mixed G6/G7 680 650 69630 67490
In post 2026 London Female Mixed SCS level 70 70 100260 93340
In post 2026 London Female Mixed SEO/HEO 850 825 45890 45890
In post 2026 London Female Mixed Unknown 140 130 38460 35900
In post 2026 London Female Other ethnicity AA/AO 110 95 31680 31470
In post 2026 London Female Other ethnicity EO 240 225 36910 37020
Note:
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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".
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
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.
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).