Civil Service Statistics data browser (2026)

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

Status Year Sex Region_ITL1 Region_ITL2 Region_london Headcount FTE Mean_salary Median_salary
In post 2026 Female East (England) Bedfordshire and Hertfordshire Outside London 2770 2535 40520 35620
In post 2026 Female East (England) Cambridgeshire and Peterborough Outside London 2835 2595 38760 33280
In post 2026 Female East (England) Essex Outside London 2950 2660 37630 35620
In post 2026 Female East (England) Norfolk Outside London 1870 1665 36510 32140
In post 2026 Female East (England) Suffolk Outside London 2360 2140 36530 32140
In post 2026 Female East Midlands (England) Derbyshire and Nottinghamshire Outside London 8785 7975 38730 33280
In post 2026 Female East Midlands (England) Leicestershire, Rutland and Northamptonshire Outside London 4325 3885 34330 32140
In post 2026 Female East Midlands (England) Lincolnshire Outside London 1665 1520 36090 32140
In post 2026 Female London Inner London - East London 12235 11455 49160 43740
In post 2026 Female London Inner London - West London 31315 30060 56990 52410
In post 2026 Female London Outer London - East and North East London 2660 2360 37780 37020
In post 2026 Female London Outer London - South London 7320 6795 45080 40500
In post 2026 Female London Outer London - West and North West London 5410 4945 42650 37750
In post 2026 Female North East (England) Northumberland, Durham and Tyne & Wear Outside London 17000 15045 36560 32140
In post 2026 Female North East (England) Tees Valley Outside London 3170 2890 39070 35000
In post 2026 Female North West (England) Cheshire Outside London 2600 2395 40440 37060
In post 2026 Female North West (England) Cumbria Outside London 1420 1260 35100 30660
In post 2026 Female North West (England) Greater Manchester Outside London 14010 12980 39950 36000
In post 2026 Female North West (England) Lancashire Outside London 9145 8100 36440 32140
In post 2026 Female North West (England) Merseyside Outside London 15475 14045 36270 32140
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 2026-07-16

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.
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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).