Civil Service Statistics data browser (2022)

Data preview: All civil servants / Ethnicity / Sexual_orientation / Sex / Age

Status Year Ethnicity Sexual_orientation Sex Age Headcount FTE Mean_salary Median_salary
In post 2022 Asian Heterosexual / straight Female 16-19 40 40 23540 23850
In post 2022 Asian Heterosexual / straight Female 20-29 3425 3345 29690 27570
In post 2022 Asian Heterosexual / straight Female 30-39 4180 3845 34160 30750
In post 2022 Asian Heterosexual / straight Female 40-49 4110 3685 35830 31060
In post 2022 Asian Heterosexual / straight Female 50-59 2690 2470 34320 30330
In post 2022 Asian Heterosexual / straight Female 60-64 640 535 31190 28650
In post 2022 Asian Heterosexual / straight Female 65+ 245 185 28910 26400
In post 2022 Asian Heterosexual / straight Female Unknown [c] [c] [c] [c]
In post 2022 Asian Heterosexual / straight Male 16-19 55 50 22580 21260
In post 2022 Asian Heterosexual / straight Male 20-29 2795 2755 29710 27570
In post 2022 Asian Heterosexual / straight Male 30-39 3890 3825 34420 31060
In post 2022 Asian Heterosexual / straight Male 40-49 3140 3070 36450 31060
In post 2022 Asian Heterosexual / straight Male 50-59 1985 1940 35890 31060
In post 2022 Asian Heterosexual / straight Male 60-64 500 460 34980 29790
In post 2022 Asian Heterosexual / straight Male 65+ 255 210 33050 29030
In post 2022 Asian Heterosexual / straight Male Unknown [c] [c] [c] [c]
In post 2022 Asian Heterosexual / straight Unknown 16-19 [c] [c] [c] [c]
In post 2022 Asian Heterosexual / straight Unknown 20-29 [c] [c] [c] [c]
In post 2022 Asian Heterosexual / straight Unknown 30-39 [c] [c] [c] [c]
In post 2022 Asian Heterosexual / straight Unknown 40-49 [c] [c] [c] [c]
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).
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. “Undeclared” accounts for employees who have actively declared that they do not want to disclose their ethnicity and “Unknown” accounts for employees who have not made an active declaration about their ethnicity.
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).