Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_ITL1 / Ethnicity / Sexual_orientation

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Disability, Age

Status Year Region_ITL1 Ethnicity Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2026 East (England) Asian Heterosexual / straight 1310 1210 38180 35560
In post 2026 East (England) Asian LGBO 25 20 [c] [c]
In post 2026 East (England) Asian Undeclared 70 60 37840 31810
In post 2026 East (England) Asian Unknown 80 75 41560 37590
In post 2026 East (England) Black Heterosexual / straight 1130 1090 36550 35620
In post 2026 East (England) Black LGBO 30 25 36820 35590
In post 2026 East (England) Black Undeclared 40 40 41750 34920
In post 2026 East (England) Black Unknown 30 25 [c] [c]
In post 2026 East (England) Mixed Heterosexual / straight 420 395 39230 35620
In post 2026 East (England) Mixed LGBO 50 45 37450 35620
In post 2026 East (England) Mixed Undeclared 40 35 39740 35620
In post 2026 East (England) Mixed Unknown 20 15 [c] [c]
In post 2026 East (England) Other ethnicity Heterosexual / straight 90 80 38860 35620
In post 2026 East (England) Other ethnicity LGBO 15 15 [c] [c]
In post 2026 East (England) Other ethnicity Undeclared 25 25 [c] [c]
In post 2026 East (England) Other ethnicity Unknown 5 5 [c] [c]
In post 2026 East (England) Undeclared Heterosexual / straight 215 195 37290 35620
In post 2026 East (England) Undeclared LGBO 20 15 [c] [c]
In post 2026 East (England) Undeclared Undeclared 710 655 40220 37970
In post 2026 East (England) Undeclared Unknown 80 70 37580 33440
Note:
Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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).
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
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).