Civil Service Statistics data browser (2021)

Data preview: All civil servants / Sex / Ethnicity / 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, Disability, Sexual_orientation, Age

Status Year Sex Ethnicity Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2021 Female Asian Bedfordshire and Hertfordshire 340 305 30220 27570
In post 2021 Female Asian Berkshire, Buckinghamshire and Oxfordshire 350 315 30140 27990
In post 2021 Female Asian Cheshire 25 25 [c] [c]
In post 2021 Female Asian Cornwall and Isles of Scilly [c] [c] [c] [c]
In post 2021 Female Asian Cumbria [c] [c] [c] [c]
In post 2021 Female Asian Derbyshire and Nottinghamshire 365 325 29360 27570
In post 2021 Female Asian Devon 25 25 [c] [c]
In post 2021 Female Asian Dorset and Somerset 15 15 [c] [c]
In post 2021 Female Asian East Anglia 195 160 25310 21430
In post 2021 Female Asian East Wales 160 145 29730 25720
In post 2021 Female Asian East Yorkshire and Northern Lincolnshire 10 10 [c] [c]
In post 2021 Female Asian Eastern Scotland 110 100 31640 27570
In post 2021 Female Asian Essex 120 105 32830 29290
In post 2021 Female Asian Gloucestershire, Wiltshire and Bath/Bristol area 320 290 33390 28590
In post 2021 Female Asian Greater Manchester 640 570 27770 25560
In post 2021 Female Asian Hampshire and Isle of Wight 165 145 28300 26670
In post 2021 Female Asian Herefordshire, Worcestershire and Warwickshire 105 90 25530 25040
In post 2021 Female Asian Highlands and Islands [c] [c] [c] [c]
In post 2021 Female Asian Inner London - East 1445 1315 35940 31060
In post 2021 Female Asian Inner London - West 3555 3385 40880 36160
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 2023-02-14, with GIT 71a76ea.

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, Defence Electronics and Components Agency, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
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.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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.
For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ from 2022 onwards.
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).