Civil Service Statistics data browser (2026)

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

Status Year Sex Disability Region_ITL1 Region_ITL3 Headcount FTE Mean_salary Median_salary
In post 2026 Female Declared disabled East (England) Babergh and Mid Suffolk 20 15 [c] [c]
In post 2026 Female Declared disabled East (England) Bedford 85 75 36890 33850
In post 2026 Female Declared disabled East (England) Breckland and South Norfolk 50 45 36610 32140
In post 2026 Female Declared disabled East (England) Cambridgeshire CC 270 250 39060 34770
In post 2026 Female Declared disabled East (England) Central Bedfordshire 20 20 [c] [c]
In post 2026 Female Declared disabled East (England) East Suffolk 130 115 35330 32140
In post 2026 Female Declared disabled East (England) Essex Haven Gateway 85 75 37140 35620
In post 2026 Female Declared disabled East (England) Essex Thames Gateway 210 190 34650 35620
In post 2026 Female Declared disabled East (England) Heart of Essex 115 105 40440 35620
In post 2026 Female Declared disabled East (England) Ipswich 130 115 35040 32140
In post 2026 Female Declared disabled East (England) Luton 80 70 33600 32140
In post 2026 Female Declared disabled East (England) North and East Hertfordshire 80 75 40280 35700
In post 2026 Female Declared disabled East (England) North and West Norfolk 85 75 34470 32140
In post 2026 Female Declared disabled East (England) Norwich and East Norfolk 240 205 34770 32140
In post 2026 Female Declared disabled East (England) Peterborough 165 150 35070 31650
In post 2026 Female Declared disabled East (England) South West Hertfordshire 195 180 42970 37020
In post 2026 Female Declared disabled East (England) Southend-on-Sea 65 55 34820 35620
In post 2026 Female Declared disabled East (England) Thurrock 30 30 39070 37020
In post 2026 Female Declared disabled East (England) West Essex 65 55 38050 35620
In post 2026 Female Declared disabled East (England) West Suffolk 125 110 34020 31060
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_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.
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.
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).