Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL1 / Disability / Age

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

Status Year Region_ITL1 Disability Age Headcount FTE Mean_salary Median_salary
In post 2023 East Midlands (England) Declared disabled 16-19 [c] [c] [c] [c]
In post 2023 East Midlands (England) Declared disabled 20-29 305 295 26950 25830
In post 2023 East Midlands (England) Declared disabled 30-39 515 485 30310 28120
In post 2023 East Midlands (England) Declared disabled 40-49 790 725 31920 28120
In post 2023 East Midlands (England) Declared disabled 50-59 1210 1120 31430 28120
In post 2023 East Midlands (England) Declared disabled 60-64 395 335 28620 28120
In post 2023 East Midlands (England) Declared disabled 65+ 115 90 27580 27450
In post 2023 East Midlands (England) Declared non-disabled 16-19 45 45 25000 23230
In post 2023 East Midlands (England) Declared non-disabled 20-29 2145 2110 28040 28120
In post 2023 East Midlands (England) Declared non-disabled 30-39 3110 2930 32550 30440
In post 2023 East Midlands (England) Declared non-disabled 40-49 3510 3265 34750 31080
In post 2023 East Midlands (England) Declared non-disabled 50-59 4640 4335 34400 28480
In post 2023 East Midlands (England) Declared non-disabled 60-64 1340 1115 31050 28120
In post 2023 East Midlands (England) Declared non-disabled 65+ 355 270 30960 27890
In post 2023 East Midlands (England) Undeclared 20-29 125 120 27950 28080
In post 2023 East Midlands (England) Undeclared 30-39 265 250 32540 30810
In post 2023 East Midlands (England) Undeclared 40-49 355 330 34410 32580
In post 2023 East Midlands (England) Undeclared 50-59 525 495 33810 32920
In post 2023 East Midlands (England) Undeclared 60-64 155 130 30030 28120
In post 2023 East Midlands (England) Undeclared 65+ 40 30 29630 27160
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 2023-07-26, 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).
Region_ITL1 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 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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).