Civil Service Statistics data browser (2024)

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

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

Status Year Region_london Region_ITL1 Sex Headcount FTE Mean_salary Median_salary
In post 2024 London London Female 58350 55210 46730 41580
In post 2024 London London Male 48265 47310 49430 44040
In post 2024 London London Unknown [c] [c] [c] [c]
In post 2024 Outside London East Midlands (England) Female 14045 12725 33240 29500
In post 2024 Outside London East Midlands (England) Male 10890 10505 35180 31980
In post 2024 Outside London East of England Female 12755 11560 33800 30470
In post 2024 Outside London East of England Male 10465 10075 35950 32690
In post 2024 Outside London North East (England) Female 20185 17870 32630 29500
In post 2024 Outside London North East (England) Male 14880 14275 35400 30320
In post 2024 Outside London North East (England) Unknown [c] [c] [c] [c]
In post 2024 Outside London North West (England) Female 40420 36735 33520 29500
In post 2024 Outside London North West (England) Male 30480 29470 35530 30320
In post 2024 Outside London North West (England) Unknown [c] [c] [c] [c]
In post 2024 Outside London Northern Ireland Female 2240 2070 34230 29630
In post 2024 Outside London Northern Ireland Male 2495 2430 33340 29390
In post 2024 Outside London Scotland Female 29900 27375 37580 31970
In post 2024 Outside London Scotland Male 25305 24455 39050 35090
In post 2024 Outside London South East (England) Female 23305 21225 34700 30900
In post 2024 Outside London South East (England) Male 21650 20825 37180 33980
In post 2024 Outside London South East (England) Unknown [c] [c] [c] [c]
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 2024-07-24

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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).