Civil Service Statistics data browser (2023)

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

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 Region_ITL1 Region_london Age Headcount FTE Mean_salary Median_salary
In post 2023 East Midlands (England) Outside London 16-19 85 80 24610 23230
In post 2023 East Midlands (England) Outside London 20-29 3620 3540 27620 27890
In post 2023 East Midlands (England) Outside London 30-39 4865 4600 31990 29730
In post 2023 East Midlands (England) Outside London 40-49 5400 5025 34130 29890
In post 2023 East Midlands (England) Outside London 50-59 7045 6585 33690 28480
In post 2023 East Midlands (England) Outside London 60-64 2065 1730 30480 28120
In post 2023 East Midlands (England) Outside London 65+ 550 420 30150 27810
In post 2023 East of England Outside London 16-19 75 70 24260 23230
In post 2023 East of England Outside London 20-29 2985 2925 28430 28120
In post 2023 East of England Outside London 30-39 4110 3870 32450 30880
In post 2023 East of England Outside London 40-49 5130 4770 34690 31280
In post 2023 East of England Outside London 50-59 7050 6645 33820 30930
In post 2023 East of England Outside London 60-64 2235 1910 31830 28480
In post 2023 East of England Outside London 65+ 810 620 30710 28080
In post 2023 East of England Outside London Unknown [c] [c] [c] [c]
In post 2023 London London 16-19 125 120 27140 26760
In post 2023 London London 20-29 22695 22560 38420 35410
In post 2023 London London 30-39 25200 24535 47970 44570
In post 2023 London London 40-49 22460 21380 50650 45560
In post 2023 London London 50-59 23805 22965 46920 40220
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).