Civil Service Statistics data browser (2023)

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

Status Year Region_london Region_ITL3 Region_ITL1 Age Headcount FTE Mean_salary Median_salary
In post 2023 London Barking & Dagenham and Havering London 20-29 90 90 31000 32520
In post 2023 London Barking & Dagenham and Havering London 30-39 110 100 34340 32520
In post 2023 London Barking & Dagenham and Havering London 40-49 140 130 33430 32520
In post 2023 London Barking & Dagenham and Havering London 50-59 210 195 33740 32520
In post 2023 London Barking & Dagenham and Havering London 60-64 60 55 32180 32520
In post 2023 London Barking & Dagenham and Havering London 65+ 25 20 33230 32520
In post 2023 London Barnet London 16-19 [c] [c] [c] [c]
In post 2023 London Barnet London 20-29 310 300 32670 32520
In post 2023 London Barnet London 30-39 330 315 40220 38760
In post 2023 London Barnet London 40-49 400 380 46800 41340
In post 2023 London Barnet London 50-59 425 405 43910 38930
In post 2023 London Barnet London 60-64 145 130 43100 32520
In post 2023 London Barnet London 65+ 75 65 43750 32520
In post 2023 London Bexley and Greenwich London 16-19 [c] [c] [c] [c]
In post 2023 London Bexley and Greenwich London 20-29 290 290 31910 32520
In post 2023 London Bexley and Greenwich London 30-39 365 355 34810 34800
In post 2023 London Bexley and Greenwich London 40-49 355 340 35260 33810
In post 2023 London Bexley and Greenwich London 50-59 515 500 35260 32520
In post 2023 London Bexley and Greenwich London 60-64 160 130 32700 31400
In post 2023 London Bexley and Greenwich London 65+ 55 40 33920 32520
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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.
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).