Civil Service Statistics data browser (2021)

Data preview: All civil servants / Region_ITL2 / Organisation / Region_ITL3 / Parent_department

Status Year Region_ITL2 Organisation Region_ITL3 Parent_department Headcount FTE Mean_salary Median_salary
In post 2021 Bedfordshire and Hertfordshire Animal and Plant Health Agency Hertfordshire Department for Environment, Food and Rural Affairs 15 15 32540 30670
In post 2021 Bedfordshire and Hertfordshire Cabinet Office (excl. agencies) Hertfordshire Cabinet Office 5 5 [c] [c]
In post 2021 Bedfordshire and Hertfordshire Crown Prosecution Service Hertfordshire Attorney General’s Departments 175 155 42490 40000
In post 2021 Bedfordshire and Hertfordshire Defence Equipment and Support Central Bedfordshire Ministry of Defence 60 55 36290 35210
In post 2021 Bedfordshire and Hertfordshire Defence Equipment and Support Hertfordshire Ministry of Defence [c] [c] [c] [c]
In post 2021 Bedfordshire and Hertfordshire Department for Education (excl. agencies) Hertfordshire Department for Education 30 25 44720 40370
In post 2021 Bedfordshire and Hertfordshire Department for Environment, Food and Rural Affairs (excl. agencies) Bedford Department for Environment, Food and Rural Affairs [c] [c] [c] [c]
In post 2021 Bedfordshire and Hertfordshire Department for Environment, Food and Rural Affairs (excl. agencies) Hertfordshire Department for Environment, Food and Rural Affairs 10 10 [c] [c]
In post 2021 Bedfordshire and Hertfordshire Department for Work and Pensions (excl. agencies) Bedford Department for Work and Pensions 175 155 27950 27570
In post 2021 Bedfordshire and Hertfordshire Department for Work and Pensions (excl. agencies) Central Bedfordshire Department for Work and Pensions 35 30 27260 27570
In post 2021 Bedfordshire and Hertfordshire Department for Work and Pensions (excl. agencies) Hertfordshire Department for Work and Pensions 730 665 29560 29290
In post 2021 Bedfordshire and Hertfordshire Department for Work and Pensions (excl. agencies) Luton Department for Work and Pensions 180 165 26760 27570
In post 2021 Bedfordshire and Hertfordshire Driver and Vehicle Standards Agency Bedford Department for Transport 35 30 30640 31780
In post 2021 Bedfordshire and Hertfordshire Driver and Vehicle Standards Agency Central Bedfordshire Department for Transport 30 30 29510 26780
In post 2021 Bedfordshire and Hertfordshire Driver and Vehicle Standards Agency Hertfordshire Department for Transport 50 50 30140 30580
In post 2021 Bedfordshire and Hertfordshire Driver and Vehicle Standards Agency Luton Department for Transport 10 10 27470 26700
In post 2021 Bedfordshire and Hertfordshire Food Standards Agency Bedford Food Standards Agency 5 5 [c] [c]
In post 2021 Bedfordshire and Hertfordshire Food Standards Agency Central Bedfordshire Food Standards Agency [c] [c] [c] [c]
In post 2021 Bedfordshire and Hertfordshire Health and Safety Executive Bedford Department for Work and Pensions 60 55 43690 45100
In post 2021 Bedfordshire and Hertfordshire HM Courts and Tribunals Service Bedford Ministry of Justice 30 30 24100 20100
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 2023-02-16, with GIT 71a76ea.

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.
Five 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, Defence Electronics and Components Agency, 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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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).