Civil Service Statistics data browser (2026)

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

Status Year Region_ITL2 Region_ITL1 Ethnicity Sex Headcount FTE Mean_salary Median_salary
In post 2026 Bedfordshire and Hertfordshire East (England) Asian Female 390 350 39370 35620
In post 2026 Bedfordshire and Hertfordshire East (England) Asian Male 265 255 40600 36880
In post 2026 Bedfordshire and Hertfordshire East (England) Asian Unknown [c] [c] [c] [c]
In post 2026 Bedfordshire and Hertfordshire East (England) Black Female 240 225 35910 33280
In post 2026 Bedfordshire and Hertfordshire East (England) Black Male 230 225 37960 36840
In post 2026 Bedfordshire and Hertfordshire East (England) Black Unknown [c] [c] [c] [c]
In post 2026 Bedfordshire and Hertfordshire East (England) Mixed Female 100 95 39210 36030
In post 2026 Bedfordshire and Hertfordshire East (England) Mixed Male 75 70 40970 37460
In post 2026 Bedfordshire and Hertfordshire East (England) Mixed Unknown [c] [c] [c] [c]
In post 2026 Bedfordshire and Hertfordshire East (England) Other ethnicity Female 30 25 [c] [c]
In post 2026 Bedfordshire and Hertfordshire East (England) Other ethnicity Male 20 20 [c] [c]
In post 2026 Bedfordshire and Hertfordshire East (England) Other ethnicity Unknown [c] [c] [c] [c]
In post 2026 Bedfordshire and Hertfordshire East (England) Undeclared Female 85 80 39350 35620
In post 2026 Bedfordshire and Hertfordshire East (England) Undeclared Male 130 125 41550 38800
In post 2026 Bedfordshire and Hertfordshire East (England) Unknown Female 295 275 38640 35130
In post 2026 Bedfordshire and Hertfordshire East (England) Unknown Male 215 205 39780 35830
In post 2026 Bedfordshire and Hertfordshire East (England) White Female 1625 1480 41960 37020
In post 2026 Bedfordshire and Hertfordshire East (England) White Male 1170 1125 44110 39460
In post 2026 Bedfordshire and Hertfordshire East (England) White Unknown [c] [c] [c] [c]
In post 2026 Berkshire, Buckinghamshire and Oxfordshire South East (England) Asian Female 490 440 37080 35340
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_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.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).