Civil Service Statistics data browser (2026)

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

Status Year Region_ITL1 Region_ITL3 Region_london Sex Headcount FTE Mean_salary Median_salary
In post 2026 East (England) Babergh and Mid Suffolk Outside London Female 105 95 40210 32140
In post 2026 East (England) Babergh and Mid Suffolk Outside London Male 90 85 41450 37530
In post 2026 East (England) Bedford Outside London Female 520 475 37050 34520
In post 2026 East (England) Bedford Outside London Male 415 400 39270 37530
In post 2026 East (England) Breckland and South Norfolk Outside London Female 260 235 38490 33280
In post 2026 East (England) Breckland and South Norfolk Outside London Male 300 285 39990 37140
In post 2026 East (England) Cambridgeshire CC Outside London Female 1760 1645 40660 37390
In post 2026 East (England) Cambridgeshire CC Outside London Male 1850 1780 43210 38960
In post 2026 East (England) Central Bedfordshire Outside London Female 205 190 38510 32140
In post 2026 East (England) Central Bedfordshire Outside London Male 235 225 39830 37910
In post 2026 East (England) East Suffolk Outside London Female 820 735 37380 34780
In post 2026 East (England) East Suffolk Outside London Male 780 740 41330 39320
In post 2026 East (England) Essex Haven Gateway Outside London Female 535 485 38460 35620
In post 2026 East (England) Essex Haven Gateway Outside London Male 400 385 42030 37020
In post 2026 East (England) Essex Thames Gateway Outside London Female 880 785 34850 35620
In post 2026 East (England) Essex Thames Gateway Outside London Male 370 355 35350 35620
In post 2026 East (England) Heart of Essex Outside London Female 780 720 38710 34930
In post 2026 East (England) Heart of Essex Outside London Male 510 500 41790 37770
In post 2026 East (England) Ipswich Outside London Female 660 585 35410 32140
In post 2026 East (England) Ipswich Outside London Male 500 480 37570 32470
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 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_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.
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).