Civil Service Statistics data browser (2021)

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

Status Year Region_london Sexual_orientation Ethnicity Age Headcount FTE Mean_salary Median_salary
In post 2021 London Heterosexual / straight Asian 16-19 20 20 [c] [c]
In post 2021 London Heterosexual / straight Asian 20-29 2405 2380 33140 31060
In post 2021 London Heterosexual / straight Asian 30-39 3010 2885 39000 35070
In post 2021 London Heterosexual / straight Asian 40-49 2830 2670 40110 35050
In post 2021 London Heterosexual / straight Asian 50-59 2035 1940 37760 31880
In post 2021 London Heterosexual / straight Asian 60-64 575 500 33050 29570
In post 2021 London Heterosexual / straight Asian 65+ 290 230 30400 28650
In post 2021 London Heterosexual / straight Asian Unknown [c] [c] [c] [c]
In post 2021 London Heterosexual / straight Black 16-19 10 10 [c] [c]
In post 2021 London Heterosexual / straight Black 20-29 1340 1330 31570 31060
In post 2021 London Heterosexual / straight Black 30-39 1575 1530 35240 31290
In post 2021 London Heterosexual / straight Black 40-49 1785 1720 36450 32090
In post 2021 London Heterosexual / straight Black 50-59 2770 2700 35340 31060
In post 2021 London Heterosexual / straight Black 60-64 565 535 32580 30720
In post 2021 London Heterosexual / straight Black 65+ 155 135 29920 26150
In post 2021 London Heterosexual / straight Black Unknown [c] [c] [c] [c]
In post 2021 London Heterosexual / straight Chinese 16-19 [c] [c] [c] [c]
In post 2021 London Heterosexual / straight Chinese 20-29 100 100 38480 35050
In post 2021 London Heterosexual / straight Chinese 30-39 135 130 45730 43800
In post 2021 London Heterosexual / straight Chinese 40-49 115 110 44030 40500
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 2023-02-18, 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.
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”.
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.
For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ from 2022 onwards.
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).