Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_london / Region_ITL3 / Disability / Region_ITL1

Status Year Region_london Region_ITL3 Disability Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2023 London Barking & Dagenham and Havering Declared disabled London 120 105 33190 32520
In post 2023 London Barking & Dagenham and Havering Declared non-disabled London 460 420 33270 32520
In post 2023 London Barking & Dagenham and Havering Undeclared London 25 25 [c] [c]
In post 2023 London Barking & Dagenham and Havering Unknown London 35 35 33090 32520
In post 2023 London Barnet Declared disabled London 135 125 37150 32520
In post 2023 London Barnet Declared non-disabled London 990 940 40350 33330
In post 2023 London Barnet Undeclared London 360 340 50460 44950
In post 2023 London Barnet Unknown London 200 190 35700 32520
In post 2023 London Bexley and Greenwich Declared disabled London 200 190 33290 32520
In post 2023 London Bexley and Greenwich Declared non-disabled London 1095 1040 34900 33050
In post 2023 London Bexley and Greenwich Undeclared London 175 165 35080 35300
In post 2023 London Bexley and Greenwich Unknown London 275 270 32270 32110
In post 2023 London Brent Declared disabled London 70 60 32760 32520
In post 2023 London Brent Declared non-disabled London 380 345 33210 32520
In post 2023 London Brent Undeclared London 35 35 35890 32520
In post 2023 London Brent Unknown London 70 70 33170 30590
In post 2023 London Bromley Declared disabled London 120 110 33570 32520
In post 2023 London Bromley Declared non-disabled London 430 390 32990 32520
In post 2023 London Bromley Undeclared London 30 30 35270 32520
In post 2023 London Bromley Unknown London 55 50 36690 33050
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_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.
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.
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.
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).