Civil Service Statistics data browser (2024)

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

Status Year Region_london Disability Region_ITL1 Ethnicity Headcount FTE Mean_salary Median_salary
In post 2024 London Declared disabled London Asian 1745 1625 40490 35060
In post 2024 London Declared disabled London Black 1615 1530 38260 33980
In post 2024 London Declared disabled London Mixed 615 595 44510 40290
In post 2024 London Declared disabled London Other ethnicity 220 210 44570 39400
In post 2024 London Declared disabled London Undeclared 460 425 42190 34640
In post 2024 London Declared disabled London Unknown 330 310 43340 38680
In post 2024 London Declared disabled London White 6470 6190 49330 44500
In post 2024 London Declared non-disabled London Asian 11290 10695 42420 37640
In post 2024 London Declared non-disabled London Black 7780 7500 39400 35090
In post 2024 London Declared non-disabled London Mixed 2490 2410 46640 41580
In post 2024 London Declared non-disabled London Other ethnicity 990 945 45040 39450
In post 2024 London Declared non-disabled London Undeclared 1850 1740 45420 39890
In post 2024 London Declared non-disabled London Unknown 1170 1105 45980 40530
In post 2024 London Declared non-disabled London White 36940 35465 53770 49360
In post 2024 London Undeclared London Asian 720 685 44210 38430
In post 2024 London Undeclared London Black 505 475 39420 36180
In post 2024 London Undeclared London Mixed 170 165 44900 39660
In post 2024 London Undeclared London Other ethnicity 140 135 46830 41180
In post 2024 London Undeclared London Undeclared 1505 1450 49660 45600
In post 2024 London Undeclared London Unknown 320 310 47710 42720
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 2024-07-25

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.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).