Civil Service Statistics data browser (2023)

Data preview: All civil servants / Profession_of_post / Region_london / Sex / Region_ITL1

Status Year Profession_of_post Region_london Sex Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2023 Commercial London Female London 840 820 54430 49450
In post 2023 Commercial London Male London 870 860 62610 56200
In post 2023 Commercial Outside London Female East Midlands (England) 85 85 42550 39520
In post 2023 Commercial Outside London Female East of England 155 145 43260 40620
In post 2023 Commercial Outside London Female North East (England) 100 100 42650 38420
In post 2023 Commercial Outside London Female North West (England) 565 540 43790 38470
In post 2023 Commercial Outside London Female Northern Ireland 10 10 [c] [c]
In post 2023 Commercial Outside London Female Scotland 200 195 41010 35800
In post 2023 Commercial Outside London Female South East (England) 325 310 41600 39820
In post 2023 Commercial Outside London Female South West (England) 935 880 41560 39880
In post 2023 Commercial Outside London Female Wales 220 205 36960 33990
In post 2023 Commercial Outside London Female West Midlands (England) 200 190 44180 39410
In post 2023 Commercial Outside London Female Yorkshire and The Humber 440 415 44440 38470
In post 2023 Commercial Outside London Male East Midlands (England) 60 60 52390 50440
In post 2023 Commercial Outside London Male East of England 110 105 49110 40750
In post 2023 Commercial Outside London Male North East (England) 80 80 47350 43380
In post 2023 Commercial Outside London Male North West (England) 370 365 47270 40490
In post 2023 Commercial Outside London Male Northern Ireland [c] [c] [c] [c]
In post 2023 Commercial Outside London Male Scotland 190 185 43250 38650
In post 2023 Commercial Outside London Male South East (England) 235 230 47250 42050
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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).