Civil Service Statistics data browser (2022)

Data preview: All civil servants / Disability / Region_london / Age

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Sexual_orientation

Status Year Disability Region_london Age Headcount FTE Mean_salary Median_salary
In post 2022 Declared disabled London 16-19 [c] [c] [c] [c]
In post 2022 Declared disabled London 20-29 1680 1665 35960 33570
In post 2022 Declared disabled London 30-39 1895 1835 44710 40960
In post 2022 Declared disabled London 40-49 2145 2035 44550 38920
In post 2022 Declared disabled London 50-59 3005 2880 41680 35590
In post 2022 Declared disabled London 60-64 865 770 36890 31880
In post 2022 Declared disabled London 65+ 335 275 35660 31060
In post 2022 Declared disabled London Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Outside London 16-19 45 40 21070 21050
In post 2022 Declared disabled Outside London 20-29 4060 3975 26880 26100
In post 2022 Declared disabled Outside London 30-39 6910 6525 30410 27570
In post 2022 Declared disabled Outside London 40-49 10225 9445 31420 27570
In post 2022 Declared disabled Outside London 50-59 16285 14985 30950 27570
In post 2022 Declared disabled Outside London 60-64 5240 4190 28830 27570
In post 2022 Declared disabled Outside London 65+ 1535 1140 27750 26310
In post 2022 Declared disabled Outside London Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Overseas 20-29 20 20 [c] [c]
In post 2022 Declared disabled Overseas 30-39 75 75 48810 51500
In post 2022 Declared disabled Overseas 40-49 65 65 48050 53470
In post 2022 Declared disabled Overseas 50-59 60 60 49320 40580
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 2023-02-14, 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”.
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).