Civil Service Statistics data browser (2023)

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

Status Year Ethnicity Region_ITL1 Region_london Age Headcount FTE Mean_salary Median_salary
In post 2023 Asian East Midlands (England) Outside London 16-19 5 5 [c] [c]
In post 2023 Asian East Midlands (England) Outside London 20-29 365 355 26650 26890
In post 2023 Asian East Midlands (England) Outside London 30-39 510 475 30410 28120
In post 2023 Asian East Midlands (England) Outside London 40-49 545 485 30920 28120
In post 2023 Asian East Midlands (England) Outside London 50-59 500 450 30540 28120
In post 2023 Asian East Midlands (England) Outside London 60-64 120 100 28150 26330
In post 2023 Asian East Midlands (England) Outside London 65+ 35 25 26670 22520
In post 2023 Asian East of England Outside London 16-19 [c] [c] [c] [c]
In post 2023 Asian East of England Outside London 20-29 180 175 28770 28120
In post 2023 Asian East of England Outside London 30-39 295 270 31150 28370
In post 2023 Asian East of England Outside London 40-49 345 305 33450 28120
In post 2023 Asian East of England Outside London 50-59 270 250 34960 30930
In post 2023 Asian East of England Outside London 60-64 105 85 31090 28810
In post 2023 Asian East of England Outside London 65+ 40 35 36230 28120
In post 2023 Asian East of England Outside London Unknown [c] [c] [c] [c]
In post 2023 Asian London London 16-19 25 25 [c] [c]
In post 2023 Asian London London 20-29 2855 2835 35650 33500
In post 2023 Asian London London 30-39 3720 3595 42810 39430
In post 2023 Asian London London 40-49 3970 3730 42840 37620
In post 2023 Asian London London 50-59 2980 2835 40020 33860
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 2023-07-27, 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.
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.
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).