Civil Service Statistics data browser (2026)

Data preview: All civil servants / Sexual_orientation / Disability / Region_london / Age

Status Year Sexual_orientation Disability Region_london Age Headcount FTE Mean_salary Median_salary
In post 2026 Heterosexual / straight Declared disabled London 16-19 [c] [c] [c] [c]
In post 2026 Heterosexual / straight Declared disabled London 20-29 1045 1030 43690 40860
In post 2026 Heterosexual / straight Declared disabled London 30-39 1920 1855 52570 49480
In post 2026 Heterosexual / straight Declared disabled London 40-49 2085 1965 55170 50040
In post 2026 Heterosexual / straight Declared disabled London 50-59 2460 2345 50850 44360
In post 2026 Heterosexual / straight Declared disabled London 60-64 1065 935 45000 37920
In post 2026 Heterosexual / straight Declared disabled London 65+ 445 355 41150 37020
In post 2026 Heterosexual / straight Declared disabled London Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Declared disabled Outside London 16-19 45 45 27880 27840
In post 2026 Heterosexual / straight Declared disabled Outside London 20-29 3945 3850 33360 32120
In post 2026 Heterosexual / straight Declared disabled Outside London 30-39 8750 8280 38530 35370
In post 2026 Heterosexual / straight Declared disabled Outside London 40-49 11180 10395 40650 36150
In post 2026 Heterosexual / straight Declared disabled Outside London 50-59 15365 14140 39420 32470
In post 2026 Heterosexual / straight Declared disabled Outside London 60-64 6260 5035 36460 32140
In post 2026 Heterosexual / straight Declared disabled Outside London 65+ 1965 1450 34810 32140
In post 2026 Heterosexual / straight Declared disabled Outside London Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Declared disabled Overseas 16-19 [c] [c] [c] [c]
In post 2026 Heterosexual / straight Declared disabled Overseas 20-29 20 20 [c] [c]
In post 2026 Heterosexual / straight Declared disabled Overseas 30-39 55 55 53520 53080
In post 2026 Heterosexual / straight Declared disabled Overseas 40-49 55 55 63590 61670
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_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".
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.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).