Civil Service Statistics data browser (2025)

Data preview: All civil servants / Sexual_orientation / Region_ITL2

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Disability, Age

Status Year Sexual_orientation Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight Bedfordshire and Hertfordshire 3670 3440 38960 34630
In post 2025 Heterosexual / straight Berkshire, Buckinghamshire and Oxfordshire 7025 6650 39870 36170
In post 2025 Heterosexual / straight Cambridgeshire and Peterborough 3845 3590 38500 35130
In post 2025 Heterosexual / straight Cheshire 3205 3010 40270 36360
In post 2025 Heterosexual / straight Cornwall and Isles of Scilly 1465 1340 33160 30980
In post 2025 Heterosexual / straight Cumbria 1880 1720 35070 30980
In post 2025 Heterosexual / straight Derbyshire and Nottinghamshire 10385 9710 38390 34500
In post 2025 Heterosexual / straight Devon 7130 6575 39140 35130
In post 2025 Heterosexual / straight East Central Scotland 10750 10200 47170 42240
In post 2025 Heterosexual / straight East Yorkshire and Northern Lincolnshire 4095 3780 34300 30980
In post 2025 Heterosexual / straight Eastern Scotland 3190 2995 36540 32460
In post 2025 Heterosexual / straight Essex 3560 3305 35890 34330
In post 2025 Heterosexual / straight Gloucestershire and Wiltshire 7410 7060 42520 37650
In post 2025 Heterosexual / straight Greater Manchester 16845 15935 39350 34870
In post 2025 Heterosexual / straight Hampshire and Isle of Wight 11375 10550 39830 36170
In post 2025 Heterosexual / straight Herefordshire, Worcestershire and Warwickshire 2980 2775 35620 31290
In post 2025 Heterosexual / straight Highlands and Islands 2505 2400 38110 34010
In post 2025 Heterosexual / straight Inner London - East 14340 13665 50060 43650
In post 2025 Heterosexual / straight Inner London - West 37540 36380 56550 53970
In post 2025 Heterosexual / straight Kent 7650 7210 35460 33580
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 2025-07-16

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
Year Year of data collection (as at 31 March).
Region_ITL2 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 2 divides into Northern Ireland, counties in England (most grouped), groups of districts in Greater London, groups of unitary authorities in Wales, groups of council areas in Scotland.
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.
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).