Civil Service Statistics data browser (2023)

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

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

Status Year Region_ITL1 Ethnicity Region_london Headcount FTE Mean_salary Median_salary
In post 2023 East Midlands (England) Asian Outside London 2080 1895 29710 28120
In post 2023 East Midlands (England) Black Outside London 660 625 29490 28120
In post 2023 East Midlands (England) Mixed Outside London 450 420 31480 28120
In post 2023 East Midlands (England) Other ethnicity Outside London 80 75 31710 28120
In post 2023 East Midlands (England) Undeclared Outside London 890 830 32940 28560
In post 2023 East Midlands (England) Unknown Outside London 3105 2930 29760 27890
In post 2023 East Midlands (England) White Outside London 16365 15210 32950 28880
In post 2023 East of England Asian Outside London 1235 1120 32430 28120
In post 2023 East of England Black Outside London 620 590 32440 30840
In post 2023 East of England Mixed Outside London 450 425 33950 30880
In post 2023 East of England Other ethnicity Outside London 110 100 32810 31280
In post 2023 East of England Undeclared Outside London 965 895 33020 31280
In post 2023 East of England Unknown Outside London 2345 2190 30420 27650
In post 2023 East of England White Outside London 16660 15485 33000 30410
In post 2023 London Asian London 15055 14280 40050 35410
In post 2023 London Black London 10310 9930 37220 32960
In post 2023 London Mixed London 3610 3490 43570 39150
In post 2023 London Other ethnicity London 1400 1345 43600 38660
In post 2023 London Undeclared London 4430 4220 45190 39790
In post 2023 London Unknown London 16135 15715 43650 39110
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.
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.
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).