Civil Service Statistics data browser (2022)

Data preview: All civil servants / Region_london / Disability / Sex / Region_ITL3

Status Year Region_london Disability Sex Region_ITL3 Headcount FTE Mean_salary Median_salary
In post 2022 London Declared disabled Female Barking & Dagenham and Havering 80 70 31430 31060
In post 2022 London Declared disabled Female Barnet 80 75 33860 31470
In post 2022 London Declared disabled Female Bexley and Greenwich 115 110 30870 30780
In post 2022 London Declared disabled Female Brent 45 40 31170 31060
In post 2022 London Declared disabled Female Bromley 75 75 32880 31060
In post 2022 London Declared disabled Female Camden and City of London 120 110 35730 28670
In post 2022 London Declared disabled Female Croydon 600 550 36280 31600
In post 2022 London Declared disabled Female Ealing 60 50 33590 31060
In post 2022 London Declared disabled Female Enfield 35 35 33030 31880
In post 2022 London Declared disabled Female Hackney and Newham 410 375 36700 31880
In post 2022 London Declared disabled Female Haringey and Islington 130 120 32240 31060
In post 2022 London Declared disabled Female Harrow and Hillingdon 180 160 30970 30500
In post 2022 London Declared disabled Female Hounslow and Richmond upon Thames 130 115 31500 31050
In post 2022 London Declared disabled Female Kensington & Chelsea and Hammersmith & Fulham 50 45 31560 31060
In post 2022 London Declared disabled Female Lambeth 160 150 36970 31880
In post 2022 London Declared disabled Female Lewisham and Southwark 135 130 32560 31060
In post 2022 London Declared disabled Female Merton, Kingston upon Thames and Sutton 60 55 31410 31060
In post 2022 London Declared disabled Female Redbridge and Waltham Forest 130 115 29410 30330
In post 2022 London Declared disabled Female Tower Hamlets 280 265 44630 38230
In post 2022 London Declared disabled Female Wandsworth 65 60 32000 30110
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_ITL3 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 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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).