Civil Service Statistics data browser (2023)

Data preview: All civil servants / Sex / Region_london / Region_ITL3 / Sexual_orientation

Status Year Sex Region_london Region_ITL3 Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 Female London Barking & Dagenham and Havering Heterosexual / straight 295 260 33170 32520
In post 2023 Female London Barking & Dagenham and Havering LGBO 10 10 [c] [c]
In post 2023 Female London Barking & Dagenham and Havering Undeclared 35 30 31530 32520
In post 2023 Female London Barking & Dagenham and Havering Unknown 60 50 31950 32520
In post 2023 Female London Barnet Heterosexual / straight 680 635 39120 33330
In post 2023 Female London Barnet LGBO 30 30 39580 33330
In post 2023 Female London Barnet Undeclared 85 80 40150 35410
In post 2023 Female London Barnet Unknown 235 215 44400 35300
In post 2023 Female London Bexley and Greenwich Heterosexual / straight 590 550 33550 32520
In post 2023 Female London Bexley and Greenwich LGBO 45 45 33740 33650
In post 2023 Female London Bexley and Greenwich Undeclared 70 60 32740 31310
In post 2023 Female London Bexley and Greenwich Unknown 195 180 31500 32110
In post 2023 Female London Brent Heterosexual / straight 225 205 32590 32520
In post 2023 Female London Brent LGBO 10 10 [c] [c]
In post 2023 Female London Brent Undeclared 50 45 32020 32520
In post 2023 Female London Brent Unknown 75 70 33360 31920
In post 2023 Female London Bromley Heterosexual / straight 340 305 32760 32520
In post 2023 Female London Bromley LGBO 10 10 [c] [c]
In post 2023 Female London Bromley Undeclared 35 30 36080 32520
In post 2023 Female London Bromley Unknown 60 55 34050 32520
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).
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".
Region_ITL3 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 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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.
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).