Civil Service Statistics data browser (2023)

Data preview: All civil servants / Age / Region_ITL1 / Region_london

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Disability, Sexual_orientation

Status Year Age Region_ITL1 Region_london Headcount FTE Mean_salary Median_salary
In post 2023 16-19 East Midlands (England) Outside London 85 80 24610 23230
In post 2023 16-19 East of England Outside London 75 70 24260 23230
In post 2023 16-19 London London 125 120 27140 26760
In post 2023 16-19 North East (England) Outside London 80 80 23780 22520
In post 2023 16-19 North West (England) Outside London 145 135 23630 22520
In post 2023 16-19 Northern Ireland Outside London [c] [c] [c] [c]
In post 2023 16-19 Scotland Outside London 135 130 22690 22520
In post 2023 16-19 South East (England) Outside London 185 180 23730 23230
In post 2023 16-19 South West (England) Outside London 210 205 20960 19460
In post 2023 16-19 Unknown Unknown 40 40 21120 17810
In post 2023 16-19 Wales Outside London 160 150 21610 22150
In post 2023 16-19 West Midlands (England) Outside London 85 85 23650 22520
In post 2023 16-19 Yorkshire and The Humber Outside London 125 120 23840 22520
In post 2023 20-29 East Midlands (England) Outside London 3620 3540 27620 27890
In post 2023 20-29 East of England Outside London 2985 2925 28430 28120
In post 2023 20-29 London London 22695 22560 38420 35410
In post 2023 20-29 North East (England) Outside London 4870 4765 27990 27890
In post 2023 20-29 North West (England) Outside London 10420 10265 28130 27210
In post 2023 20-29 Northern Ireland Outside London 605 595 26590 22740
In post 2023 20-29 Overseas Overseas 340 340 38980 34880
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_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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).