Civil Service Statistics data browser (2025)

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

Status Year Region_ITL1 Disability Sex Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2025 East (England) Declared disabled Female Bedfordshire and Hertfordshire 490 435 37260 34330
In post 2025 East (England) Declared disabled Female Cambridgeshire and Peterborough 410 370 35990 30980
In post 2025 East (England) Declared disabled Female Essex 555 495 34650 34330
In post 2025 East (England) Declared disabled Female Norfolk 365 315 33190 30980
In post 2025 East (England) Declared disabled Female Suffolk 380 335 33120 30980
In post 2025 East (England) Declared disabled Male Bedfordshire and Hertfordshire 235 225 37920 34330
In post 2025 East (England) Declared disabled Male Cambridgeshire and Peterborough 325 305 38120 36010
In post 2025 East (England) Declared disabled Male Essex 220 205 34090 34170
In post 2025 East (England) Declared disabled Male Norfolk 260 240 35730 33760
In post 2025 East (England) Declared disabled Male Suffolk 215 205 35550 31650
In post 2025 East (England) Declared disabled Unknown Bedfordshire and Hertfordshire [c] [c] [c] [c]
In post 2025 East (England) Declared disabled Unknown Cambridgeshire and Peterborough [c] [c] [c] [c]
In post 2025 East (England) Declared disabled Unknown Essex [c] [c] [c] [c]
In post 2025 East (England) Declared disabled Unknown Norfolk [c] [c] [c] [c]
In post 2025 East (England) Declared disabled Unknown Suffolk [c] [c] [c] [c]
In post 2025 East (England) Declared non-disabled Female Bedfordshire and Hertfordshire 1830 1660 38390 34330
In post 2025 East (England) Declared non-disabled Female Cambridgeshire and Peterborough 1690 1535 37160 32370
In post 2025 East (England) Declared non-disabled Female Essex 1900 1720 35150 34330
In post 2025 East (England) Declared non-disabled Female Norfolk 1265 1125 34670 30980
In post 2025 East (England) Declared non-disabled Female Suffolk 1550 1405 34860 30980
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 2025-07-18

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.
Five 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, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
Year Year of data collection (as at 31 March).
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.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).