Civil Service Statistics data browser (2023)

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

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

Status Year Region_london Region_ITL2 Sex Headcount FTE Mean_salary Median_salary
In post 2023 London Inner London - East Female 10115 9510 42590 37760
In post 2023 London Inner London - East Male 8620 8420 46400 40260
In post 2023 London Inner London - West Female 32045 30765 48580 43760
In post 2023 London Inner London - West Male 27135 26800 50910 46600
In post 2023 London Inner London - West Unknown 5 5 [c] [c]
In post 2023 London Outer London - East and North East Female 2550 2280 32010 32520
In post 2023 London Outer London - East and North East Male 1700 1650 34140 32520
In post 2023 London Outer London - South Female 7035 6550 38620 33050
In post 2023 London Outer London - South Male 5310 5195 42360 38250
In post 2023 London Outer London - West and North West Female 4960 4545 34900 32520
In post 2023 London Outer London - West and North West Male 4260 4070 35630 32520
In post 2023 Outside London Bedfordshire and Hertfordshire Female 2770 2520 34090 31280
In post 2023 Outside London Bedfordshire and Hertfordshire Male 2000 1945 36130 32410
In post 2023 Outside London Berkshire, Buckinghamshire and Oxfordshire Female 4815 4435 33790 30950
In post 2023 Outside London Berkshire, Buckinghamshire and Oxfordshire Male 4485 4365 37210 34170
In post 2023 Outside London Cheshire Female 2570 2365 33100 30410
In post 2023 Outside London Cheshire Male 1930 1870 35730 32920
In post 2023 Outside London Cornwall and Isles of Scilly Female 965 840 28480 28120
In post 2023 Outside London Cornwall and Isles of Scilly Male 765 730 29690 27470
In post 2023 Outside London Cumbria Female 1435 1265 28730 25920
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.
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).