Civil Service Statistics data browser (2026)

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

Status Year Sex Region_london Responsibility_level_grouped Ethnicity Headcount FTE Mean_salary Median_salary
In post 2026 Female London AA/AO Asian 1470 1250 31060 31300
In post 2026 Female London AA/AO Black 1425 1285 32480 31470
In post 2026 Female London AA/AO Mixed 230 205 32410 31470
In post 2026 Female London AA/AO Other ethnicity 110 95 31680 31470
In post 2026 Female London AA/AO Undeclared 295 260 31130 30110
In post 2026 Female London AA/AO Unknown 1125 1050 32130 31470
In post 2026 Female London AA/AO White 1725 1520 32390 31470
In post 2026 Female London EO Asian 2920 2620 36980 37020
In post 2026 Female London EO Black 2465 2290 36720 37020
In post 2026 Female London EO Mixed 475 440 37200 37020
In post 2026 Female London EO Other ethnicity 240 225 36910 37020
In post 2026 Female London EO Undeclared 625 555 36750 37020
In post 2026 Female London EO Unknown 1580 1510 36450 35420
In post 2026 Female London EO White 3285 3025 37190 36590
In post 2026 Female London G6/G7 Asian 1920 1850 69720 67370
In post 2026 Female London G6/G7 Black 905 890 68700 67220
In post 2026 Female London G6/G7 Mixed 680 650 69630 67490
In post 2026 Female London G6/G7 Other ethnicity 225 215 69900 67370
In post 2026 Female London G6/G7 Undeclared 470 450 70690 68320
In post 2026 Female London G6/G7 Unknown 2480 2400 68880 66230
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".
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).