Civil Service Statistics data browser (2023)

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

Status Year Disability Region_london Age Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled London 16-19 AA/AO [c] [c] [c] [c]
In post 2023 Declared disabled London 16-19 EO [c] [c] [c] [c]
In post 2023 Declared disabled London 16-19 SEO/HEO [c] [c] [c] [c]
In post 2023 Declared disabled London 16-19 Unknown [c] [c] [c] [c]
In post 2023 Declared disabled London 20-29 AA/AO 135 135 27680 26400
In post 2023 Declared disabled London 20-29 EO 340 335 30560 30080
In post 2023 Declared disabled London 20-29 G6/G7 255 255 57010 55370
In post 2023 Declared disabled London 20-29 SCS level [c] [c] [c] [c]
In post 2023 Declared disabled London 20-29 SEO/HEO 990 985 36750 35650
In post 2023 Declared disabled London 20-29 Unknown 50 50 30610 28580
In post 2023 Declared disabled London 30-39 AA/AO 145 135 28410 26400
In post 2023 Declared disabled London 30-39 EO 330 315 31740 32520
In post 2023 Declared disabled London 30-39 G6/G7 725 705 60420 58970
In post 2023 Declared disabled London 30-39 SCS level 50 50 83760 77800
In post 2023 Declared disabled London 30-39 SEO/HEO 700 685 40010 40030
In post 2023 Declared disabled London 30-39 Unknown 70 65 33160 30840
In post 2023 Declared disabled London 40-49 AA/AO 255 230 26760 25610
In post 2023 Declared disabled London 40-49 EO 465 435 31730 32260
In post 2023 Declared disabled London 40-49 G6/G7 660 635 63330 61700
In post 2023 Declared disabled London 40-49 SCS level 140 135 92340 82050
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 2023-07-27, 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).
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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).