Civil Service Statistics data browser (2024)

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

Status Year Region_london Sexual_orientation Age Disability Headcount FTE Mean_salary Median_salary
In post 2024 London Heterosexual / straight 16-19 Declared disabled 10 10 [c] [c]
In post 2024 London Heterosexual / straight 16-19 Declared non-disabled 30 30 30720 30810
In post 2024 London Heterosexual / straight 16-19 Undeclared [c] [c] [c] [c]
In post 2024 London Heterosexual / straight 16-19 Unknown 15 15 [c] [c]
In post 2024 London Heterosexual / straight 20-29 Declared disabled 1065 1055 40300 37240
In post 2024 London Heterosexual / straight 20-29 Declared non-disabled 8605 8550 41200 38250
In post 2024 London Heterosexual / straight 20-29 Undeclared 360 355 40930 38250
In post 2024 London Heterosexual / straight 20-29 Unknown 2510 2495 40650 38550
In post 2024 London Heterosexual / straight 30-39 Declared disabled 1570 1525 48050 44140
In post 2024 London Heterosexual / straight 30-39 Declared non-disabled 12830 12470 51060 47700
In post 2024 London Heterosexual / straight 30-39 Undeclared 550 540 49000 45910
In post 2024 London Heterosexual / straight 30-39 Unknown 2160 2120 50230 47500
In post 2024 London Heterosexual / straight 40-49 Declared disabled 1870 1775 49850 44040
In post 2024 London Heterosexual / straight 40-49 Declared non-disabled 12330 11735 54130 48360
In post 2024 London Heterosexual / straight 40-49 Undeclared 545 525 50540 45870
In post 2024 London Heterosexual / straight 40-49 Unknown 1440 1385 55110 54540
In post 2024 London Heterosexual / straight 50-59 Declared disabled 2410 2305 45600 39800
In post 2024 London Heterosexual / straight 50-59 Declared non-disabled 12065 11680 50790 44500
In post 2024 London Heterosexual / straight 50-59 Undeclared 625 605 47170 40530
In post 2024 London Heterosexual / straight 50-59 Unknown 1100 1070 53550 46700
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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".
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.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
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).