Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL2 / Region_ITL3 / Region_ITL1 / Responsibility_level_ungrouped

Status Year Region_ITL2 Region_ITL3 Region_ITL1 Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2023 Bedfordshire and Hertfordshire Bedford East of England AA 55 55 22940 23230
In post 2023 Bedfordshire and Hertfordshire Bedford East of England AO 265 250 28880 30880
In post 2023 Bedfordshire and Hertfordshire Bedford East of England EO 240 215 28450 28120
In post 2023 Bedfordshire and Hertfordshire Bedford East of England G6 10 10 71240 65660
In post 2023 Bedfordshire and Hertfordshire Bedford East of England G7 30 30 57980 54570
In post 2023 Bedfordshire and Hertfordshire Bedford East of England HEO 105 105 35210 34050
In post 2023 Bedfordshire and Hertfordshire Bedford East of England SCS level [c] [c] [c] [c]
In post 2023 Bedfordshire and Hertfordshire Bedford East of England SEO 75 75 44760 41780
In post 2023 Bedfordshire and Hertfordshire Bedford East of England Unknown 115 105 29290 26840
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England AA 50 45 21820 21380
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England AO 80 75 22820 22220
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England EO 130 125 28890 28120
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England G6 10 10 75100 70710
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England G7 20 20 61200 56410
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England HEO 115 110 36100 34740
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England SCS level [c] [c] [c] [c]
In post 2023 Bedfordshire and Hertfordshire Central Bedfordshire East of England SEO 45 45 44070 43400
In post 2023 Bedfordshire and Hertfordshire Hertfordshire CC East of England AA 135 120 22750 23230
In post 2023 Bedfordshire and Hertfordshire Hertfordshire CC East of England AO 555 510 27850 25610
In post 2023 Bedfordshire and Hertfordshire Hertfordshire CC East of England EO 815 755 31410 31280
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 2023-07-28, 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_ungrouped 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_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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.
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.
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).