Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL1 / Sex / 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, Ethnicity, Disability, Age

Status Year Region_ITL1 Sex Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 East Midlands (England) Female Heterosexual / straight 9400 8505 31790 28120
In post 2023 East Midlands (England) Female LGBO 620 595 31350 28130
In post 2023 East Midlands (England) Female Undeclared 1085 965 31330 28120
In post 2023 East Midlands (England) Female Unknown 2380 2120 28990 28080
In post 2023 East Midlands (England) Male Heterosexual / straight 6820 6610 33910 30470
In post 2023 East Midlands (England) Male LGBO 430 420 31400 28120
In post 2023 East Midlands (England) Male Undeclared 880 835 34380 32000
In post 2023 East Midlands (England) Male Unknown 2010 1925 31040 28120
In post 2023 East Midlands (England) Unknown Heterosexual / straight [c] [c] [c] [c]
In post 2023 East Midlands (England) Unknown LGBO [c] [c] [c] [c]
In post 2023 East of England Female Heterosexual / straight 8800 7965 31980 28850
In post 2023 East of England Female LGBO 500 480 30390 28480
In post 2023 East of England Female Undeclared 1005 895 32160 28480
In post 2023 East of England Female Unknown 1940 1705 30620 28120
In post 2023 East of England Male Heterosexual / straight 7110 6870 34330 31510
In post 2023 East of England Male LGBO 330 325 33770 31280
In post 2023 East of England Male Undeclared 1010 955 33960 32060
In post 2023 East of England Male Unknown 1695 1620 32090 28880
In post 2023 East of England Unknown Heterosexual / straight [c] [c] [c] [c]
In post 2023 East of England Unknown LGBO [c] [c] [c] [c]
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 2023-07-26, with GIT d545f65.

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.
Four 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, 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_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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).