Civil Service Statistics data browser (2022)

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

Status Year Region_london Region_ITL2 Function_of_post Sex Headcount FTE Mean_salary Median_salary
In post 2022 London Inner London - East Analysis Female 395 375 50140 45490
In post 2022 London Inner London - East Analysis Male 495 485 50470 45010
In post 2022 London Inner London - East Commercial Female 115 110 48090 43470
In post 2022 London Inner London - East Commercial Male 95 95 56030 53120
In post 2022 London Inner London - East Communications Female 150 145 45380 40630
In post 2022 London Inner London - East Communications Male 95 95 51000 44310
In post 2022 London Inner London - East Counter Fraud Female 740 690 36450 33440
In post 2022 London Inner London - East Counter Fraud Male 820 800 39430 37930
In post 2022 London Inner London - East Debt Female 150 125 28480 26400
In post 2022 London Inner London - East Debt Male 105 100 30420 26400
In post 2022 London Inner London - East Digital, Data & Technology Female 680 660 49090 48900
In post 2022 London Inner London - East Digital, Data & Technology Male 870 865 52820 54700
In post 2022 London Inner London - East Finance Female 305 290 42960 40850
In post 2022 London Inner London - East Finance Male 255 255 48900 43810
In post 2022 London Inner London - East Human Resources Female 360 350 47000 41670
In post 2022 London Inner London - East Human Resources Male 145 145 46680 41750
In post 2022 London Inner London - East Internal Audit Female 5 5 [c] [c]
In post 2022 London Inner London - East Internal Audit Male 5 5 [c] [c]
In post 2022 London Inner London - East Legal Female 440 415 53980 56360
In post 2022 London Inner London - East Legal Male 335 325 58530 62120
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 2023-02-15, with GIT 71a76ea.

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.
Five 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, Defence Electronics and Components Agency, 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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Home Office, Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).