Civil Service Statistics data browser (2024)

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

Status Year Sex Region_london Region_ITL2 Age Headcount FTE Mean_salary Median_salary
In post 2024 Female London Inner London - East 16-19 10 10 [c] [c]
In post 2024 Female London Inner London - East 20-29 1790 1765 37120 34460
In post 2024 Female London Inner London - East 30-39 2330 2210 47820 42860
In post 2024 Female London Inner London - East 40-49 2400 2215 49410 43350
In post 2024 Female London Inner London - East 50-59 2560 2420 46570 40910
In post 2024 Female London Inner London - East 60-64 840 725 42000 35060
In post 2024 Female London Inner London - East 65+ 335 265 39360 33980
In post 2024 Female London Inner London - West 16-19 30 30 [c] [c]
In post 2024 Female London Inner London - West 20-29 8935 8885 42380 40150
In post 2024 Female London Inner London - West 30-39 8850 8565 54300 57150
In post 2024 Female London Inner London - West 40-49 6695 6220 58820 58830
In post 2024 Female London Inner London - West 50-59 5450 5215 53930 47920
In post 2024 Female London Inner London - West 60-64 1490 1360 46800 40810
In post 2024 Female London Inner London - West 65+ 515 440 42000 33980
In post 2024 Female London Inner London - West Unknown [c] [c] [c] [c]
In post 2024 Female London London - Unknown 20-29 160 160 43250 44840
In post 2024 Female London London - Unknown 30-39 220 210 48720 45190
In post 2024 Female London London - Unknown 40-49 220 205 51500 49250
In post 2024 Female London London - Unknown 50-59 160 155 50620 45190
In post 2024 Female London London - Unknown 60-64 45 40 47000 45190
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 2024-07-25

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_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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).