Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_london / Region_ITL2 / Age / Region_ITL1

Status Year Region_london Region_ITL2 Age Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2023 London Inner London - East 16-19 London 20 20 27130 25480
In post 2023 London Inner London - East 20-29 London 3220 3195 36440 34110
In post 2023 London Inner London - East 30-39 London 4295 4165 45520 41190
In post 2023 London Inner London - East 40-49 London 4275 4065 48540 43210
In post 2023 London Inner London - East 50-59 London 4910 4740 46040 39790
In post 2023 London Inner London - East 60-64 London 1425 1265 42250 36310
In post 2023 London Inner London - East 65+ London 595 490 40030 34370
In post 2023 London Inner London - West 16-19 London 65 60 27120 28050
In post 2023 London Inner London - West 20-29 London 15770 15705 40150 37240
In post 2023 London Inner London - West 30-39 London 16055 15700 51790 54440
In post 2023 London Inner London - West 40-49 London 12340 11785 56550 55850
In post 2023 London Inner London - West 50-59 London 11190 10900 53140 48170
In post 2023 London Inner London - West 60-64 London 2730 2510 48840 43000
In post 2023 London Inner London - West 65+ London 1025 895 44500 37010
In post 2023 London Inner London - West Unknown London 10 10 57070 41270
In post 2023 London Outer London - East and North East 16-19 London [c] [c] [c] [c]
In post 2023 London Outer London - East and North East 20-29 London 610 600 31170 32520
In post 2023 London Outer London - East and North East 30-39 London 750 715 34220 32520
In post 2023 London Outer London - East and North East 40-49 London 855 790 33440 32520
In post 2023 London Outer London - East and North East 50-59 London 1370 1290 33190 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_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_ITL2 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 2 divides into Northern Ireland, counties in England (most grouped), groups of districts in Greater London, groups of unitary authorities in Wales, groups of council areas in Scotland.
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).