Civil Service Statistics data browser (2025)

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

Status Year Sex Region_ITL1 Region_ITL3 Disability Headcount FTE Mean_salary Median_salary
In post 2025 Female East (England) Babergh and Mid Suffolk Declared disabled 15 15 [c] [c]
In post 2025 Female East (England) Babergh and Mid Suffolk Declared non-disabled 60 55 37900 30980
In post 2025 Female East (England) Babergh and Mid Suffolk Undeclared 5 5 [c] [c]
In post 2025 Female East (England) Babergh and Mid Suffolk Unknown 15 15 [c] [c]
In post 2025 Female East (England) Bedford Declared disabled 80 65 34140 30980
In post 2025 Female East (England) Bedford Declared non-disabled 330 300 34500 30980
In post 2025 Female East (England) Bedford Undeclared 25 20 [c] [c]
In post 2025 Female East (England) Bedford Unknown 80 75 34080 30670
In post 2025 Female East (England) Breckland and South Norfolk Declared disabled 45 40 34880 30980
In post 2025 Female East (England) Breckland and South Norfolk Declared non-disabled 190 170 35930 32000
In post 2025 Female East (England) Breckland and South Norfolk Undeclared 15 15 [c] [c]
In post 2025 Female East (England) Breckland and South Norfolk Unknown 10 10 [c] [c]
In post 2025 Female East (England) Cambridgeshire CC Declared disabled 260 240 37270 33580
In post 2025 Female East (England) Cambridgeshire CC Declared non-disabled 1000 930 38970 35940
In post 2025 Female East (England) Cambridgeshire CC Undeclared 140 125 40320 37340
In post 2025 Female East (England) Cambridgeshire CC Unknown 330 315 37560 32450
In post 2025 Female East (England) Central Bedfordshire Declared disabled 15 15 [c] [c]
In post 2025 Female East (England) Central Bedfordshire Declared non-disabled 130 120 36690 30980
In post 2025 Female East (England) Central Bedfordshire Undeclared 5 5 [c] [c]
In post 2025 Female East (England) Central Bedfordshire Unknown 35 35 34040 29770
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 2025-07-16

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.
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_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.
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).