Civil Service Statistics data browser (2023)

Data preview: All civil servants / Sex / Region_london / Responsibility_level_grouped / Disability

Status Year Sex Region_london Responsibility_level_grouped Disability Headcount FTE Mean_salary Median_salary
In post 2023 Female London AA/AO Declared disabled 840 740 26330 25610
In post 2023 Female London AA/AO Declared non-disabled 3920 3450 26570 25610
In post 2023 Female London AA/AO Undeclared 425 370 27130 26010
In post 2023 Female London AA/AO Unknown 1460 1385 27300 26400
In post 2023 Female London EO Declared disabled 1570 1440 31520 32520
In post 2023 Female London EO Declared non-disabled 7120 6540 31300 31330
In post 2023 Female London EO Undeclared 580 535 31580 31750
In post 2023 Female London EO Unknown 2420 2340 31110 29890
In post 2023 Female London G6/G7 Declared disabled 1375 1315 61910 60000
In post 2023 Female London G6/G7 Declared non-disabled 9865 9365 62020 59850
In post 2023 Female London G6/G7 Undeclared 810 780 62090 60050
In post 2023 Female London G6/G7 Unknown 3370 3240 60980 59180
In post 2023 Female London SCS level Declared disabled 180 170 91110 83310
In post 2023 Female London SCS level Declared non-disabled 1500 1415 88670 81060
In post 2023 Female London SCS level Undeclared 110 105 95020 85580
In post 2023 Female London SCS level Unknown 405 385 93260 84000
In post 2023 Female London SEO/HEO Declared disabled 2055 1985 39510 39150
In post 2023 Female London SEO/HEO Declared non-disabled 11030 10645 40350 40000
In post 2023 Female London SEO/HEO Undeclared 920 890 40190 39790
In post 2023 Female London SEO/HEO Unknown 4970 4875 39060 39480
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 2023-07-27, with GIT d545f65.

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.
Four 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, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
Year Year of data collection (as at 31 March).
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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".
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).