Civil Service Statistics data browser (2021)

Data preview: All civil servants / Region_london / Ethnicity / Sex / Function_of_post

Status Year Region_london Ethnicity Sex Function_of_post Headcount FTE Mean_salary Median_salary
In post 2021 London Asian Female Analysis 155 150 45720 42020
In post 2021 London Asian Female Commercial 80 80 42330 35560
In post 2021 London Asian Female Communications 105 100 41270 35290
In post 2021 London Asian Female Counter Fraud 130 120 34450 32520
In post 2021 London Asian Female Debt 95 80 26290 25630
In post 2021 London Asian Female Digital, Data & Technology 175 170 45410 41250
In post 2021 London Asian Female Finance 190 180 41450 36800
In post 2021 London Asian Female Grants Management [c] [c] [c] [c]
In post 2021 London Asian Female Human Resources 215 205 40630 36160
In post 2021 London Asian Female Internal Audit 20 20 [c] [c]
In post 2021 London Asian Female Legal 440 405 45170 50500
In post 2021 London Asian Female No function 2405 2260 37460 33550
In post 2021 London Asian Female Project Delivery 300 290 44510 39800
In post 2021 London Asian Female Property 95 90 33680 30680
In post 2021 London Asian Female Security 50 50 37100 34550
In post 2021 London Asian Female Unknown 3685 3300 32690 31060
In post 2021 London Asian Male Analysis 165 165 44880 41760
In post 2021 London Asian Male Commercial 70 70 48310 40650
In post 2021 London Asian Male Communications 100 95 34200 32520
In post 2021 London Asian Male Counter Fraud 140 135 36640 33830
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 2023-02-17, 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”.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
The Department for Work and Pensions provided aggregated functions data for 2021, which are available in the Civil Service Statistics publication. However, figures in this browser are derived from individual level data and so are not available for this department in 2021.
Home Office, Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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.
For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ from 2022 onwards.
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).