Civil Service Statistics data browser (2023)

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

Status Year Region_london Sex Sexual_orientation Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 London Female Heterosexual / straight AA/AO 4075 3625 26580 25610
In post 2023 London Female Heterosexual / straight EO 7715 7165 31350 31310
In post 2023 London Female Heterosexual / straight G6/G7 10795 10260 61820 59530
In post 2023 London Female Heterosexual / straight SCS level 1610 1520 89340 81600
In post 2023 London Female Heterosexual / straight SEO/HEO 12410 12005 40250 39990
In post 2023 London Female Heterosexual / straight Unknown 1305 1235 35400 33820
In post 2023 London Female LGBO AA/AO 205 195 28740 26630
In post 2023 London Female LGBO EO 390 375 31200 30720
In post 2023 London Female LGBO G6/G7 730 715 60690 57830
In post 2023 London Female LGBO SCS level 100 100 88570 78840
In post 2023 London Female LGBO SEO/HEO 1035 1015 39610 39790
In post 2023 London Female LGBO Unknown 70 70 36840 34820
In post 2023 London Female Undeclared AA/AO 620 540 26140 25610
In post 2023 London Female Undeclared EO 1080 985 31090 30910
In post 2023 London Female Undeclared G6/G7 1285 1235 62020 59520
In post 2023 London Female Undeclared SCS level 145 140 88900 82440
In post 2023 London Female Undeclared SEO/HEO 1570 1510 40130 40260
In post 2023 London Female Undeclared Unknown 120 115 36990 34210
In post 2023 London Female Unknown AA/AO 1750 1585 27070 26400
In post 2023 London Female Unknown EO 2500 2330 31270 31310
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.
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.
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).