Civil Service Statistics data browser (2023)

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

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

Status Year Region_london Region_ITL2 Ethnicity Headcount FTE Mean_salary Median_salary
In post 2023 London Inner London - East Asian 3135 2975 40280 35410
In post 2023 London Inner London - East Black 2635 2530 36330 32520
In post 2023 London Inner London - East Mixed 630 610 41700 36100
In post 2023 London Inner London - East Other ethnicity 280 265 44510 39070
In post 2023 London Inner London - East Undeclared 865 820 43660 39150
In post 2023 London Inner London - East Unknown 2600 2490 41140 36040
In post 2023 London Inner London - East White 8585 8240 49510 44040
In post 2023 London Inner London - West Asian 6575 6385 44400 41060
In post 2023 London Inner London - West Black 4295 4190 39990 35650
In post 2023 London Inner London - West Mixed 2130 2080 46790 42990
In post 2023 London Inner London - West Other ethnicity 795 775 46580 42280
In post 2023 London Inner London - West Undeclared 2200 2140 50450 46470
In post 2023 London Inner London - West Unknown 9360 9180 48160 43650
In post 2023 London Inner London - West White 33825 32820 52510 53550
In post 2023 London Outer London - East and North East Asian 880 780 31120 32520
In post 2023 London Outer London - East and North East Black 820 775 32630 32520
In post 2023 London Outer London - East and North East Mixed 120 115 33120 32520
In post 2023 London Outer London - East and North East Other ethnicity 80 70 32720 32520
In post 2023 London Outer London - East and North East Undeclared 260 235 31600 32520
In post 2023 London Outer London - East and North East Unknown 510 480 32450 32520
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.
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).