Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL2 / Region_london / Sex

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

Status Year Region_ITL2 Region_london Sex Headcount FTE Mean_salary Median_salary
In post 2023 Bedfordshire and Hertfordshire Outside London Female 2770 2520 34090 31280
In post 2023 Bedfordshire and Hertfordshire Outside London Male 2000 1945 36130 32410
In post 2023 Berkshire, Buckinghamshire and Oxfordshire Outside London Female 4815 4435 33790 30950
In post 2023 Berkshire, Buckinghamshire and Oxfordshire Outside London Male 4485 4365 37210 34170
In post 2023 Cheshire Outside London Female 2570 2365 33100 30410
In post 2023 Cheshire Outside London Male 1930 1870 35730 32920
In post 2023 Cornwall and Isles of Scilly Outside London Female 965 840 28480 28120
In post 2023 Cornwall and Isles of Scilly Outside London Male 765 730 29690 27470
In post 2023 Cumbria Outside London Female 1435 1265 28730 25920
In post 2023 Cumbria Outside London Male 1030 1005 32180 28090
In post 2023 Derbyshire and Nottinghamshire Outside London Female 8150 7395 32690 28130
In post 2023 Derbyshire and Nottinghamshire Outside London Male 6205 6000 34380 31260
In post 2023 Devon Outside London Female 4725 4170 31780 28120
In post 2023 Devon Outside London Male 4815 4625 35310 32730
In post 2023 Dorset and Somerset Outside London Female 2740 2460 30930 28120
In post 2023 Dorset and Somerset Outside London Male 2825 2720 33680 31240
In post 2023 East Anglia Outside London Female 6750 6080 30920 28120
In post 2023 East Anglia Outside London Male 6320 6070 33630 31290
In post 2023 East Wales Outside London Female 11515 10565 34760 30610
In post 2023 East Wales Outside London Male 9755 9465 37200 32740
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 2023-07-26, 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_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".
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.
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).