Civil Service Statistics data browser (Beta)

Data preview: All civil servants / Sex / Ethnicity / Region_ITL2

Status Year Sex Ethnicity Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2021 Female Asian Bedfordshire and Hertfordshire 340 300 30220 27570
In post 2021 Female Asian Berkshire, Buckinghamshire and Oxfordshire 350 310 30140 27990
In post 2021 Female Asian Cheshire [c] [c] [c] [c]
In post 2021 Female Asian Cornwall and Isles of Scilly [c] [c] [c] [c]
In post 2021 Female Asian Cumbria [c] [c] [c] [c]
In post 2021 Female Asian Derbyshire and Nottinghamshire 370 320 29360 27570
In post 2021 Female Asian Devon [c] [c] [c] [c]
In post 2021 Female Asian Dorset and Somerset [c] [c] [c] [c]
In post 2021 Female Asian East Anglia 200 160 25310 21430
In post 2021 Female Asian East Wales 160 150 29730 25720
In post 2021 Female Asian East Yorkshire and Northern Lincolnshire [c] [c] [c] [c]
In post 2021 Female Asian Eastern Scotland 110 100 31640 27570
In post 2021 Female Asian Essex 120 110 32830 29290
In post 2021 Female Asian Gloucestershire, Wiltshire and Bath/Bristol area 320 290 33390 28590
In post 2021 Female Asian Greater Manchester 640 570 27770 25560
In post 2021 Female Asian Hampshire and Isle of Wight 160 140 28300 26670
In post 2021 Female Asian Herefordshire, Worcestershire and Warwickshire 110 90 25530 25040
In post 2021 Female Asian Highlands and Islands [c] [c] [c] [c]
In post 2021 Female Asian Inner London - East 1450 1320 35940 31060
In post 2021 Female Asian Inner London - West 3560 3390 40880 36160
In post 2021 Female Asian Kent 90 80 29190 29290
In post 2021 Female Asian Lancashire 400 330 24420 21010
In post 2021 Female Asian Leicestershire, Rutland and Northamptonshire 570 490 24960 21770
In post 2021 Female Asian Lincolnshire [c] [c] [c] [c]
In post 2021 Female Asian Merseyside 70 60 33150 25040
In post 2021 Female Asian North Eastern Scotland [c] [c] [c] [c]
In post 2021 Female Asian North Yorkshire 40 30 [c] [c]
In post 2021 Female Asian Northern Ireland [c] [c] [c] [c]
In post 2021 Female Asian Northumberland and Tyne and Wear 160 150 26930 21440
In post 2021 Female Asian Outer London - East and North East 440 380 29370 31060
In post 2021 Female Asian Outer London - South 1070 970 33140 29570
In post 2021 Female Asian Outer London - West and North West 1630 1450 30940 29690
In post 2021 Female Asian Overseas 60 60 42680 34770
In post 2021 Female Asian Shropshire and Staffordshire 140 130 31460 27570
In post 2021 Female Asian South Yorkshire 210 190 27550 24890
In post 2021 Female Asian Southern Scotland [c] [c] [c] [c]
In post 2021 Female Asian Surrey, East and West Sussex 180 160 29480 27960
In post 2021 Female Asian Tees Valley and Durham 50 50 25400 21440
In post 2021 Female Asian Unknown 110 90 28840 27570
In post 2021 Female Asian West Central Scotland 130 110 27680 24890
In post 2021 Female Asian West Midlands 2020 1800 27270 25560
In post 2021 Female Asian West Wales and The Valleys 50 40 [c] [c]
In post 2021 Female Asian West Yorkshire 880 760 27090 25560
In post 2021 Female Black Bedfordshire and Hertfordshire 150 140 30430 29290
In post 2021 Female Black Berkshire, Buckinghamshire and Oxfordshire 170 160 29620 27570
In post 2021 Female Black Cheshire [c] [c] [c] [c]
In post 2021 Female Black Cornwall and Isles of Scilly [c] [c] [c] [c]
In post 2021 Female Black Cumbria [c] [c] [c] [c]
In post 2021 Female Black Derbyshire and Nottinghamshire 190 180 26850 25830
In post 2021 Female Black Devon [c] [c] [c] [c]
In post 2021 Female Black Dorset and Somerset [c] [c] [c] [c]
In post 2021 Female Black East Anglia 70 60 31320 27570
In post 2021 Female Black East Wales 80 70 28070 25560
In post 2021 Female Black East Yorkshire and Northern Lincolnshire [c] [c] [c] [c]
In post 2021 Female Black Eastern Scotland 60 50 30790 27570
In post 2021 Female Black Essex 170 160 29130 29290
In post 2021 Female Black Gloucestershire, Wiltshire and Bath/Bristol area 250 240 31390 28610
In post 2021 Female Black Greater Manchester 300 280 28260 27370
In post 2021 Female Black Hampshire and Isle of Wight 100 90 28560 27570
In post 2021 Female Black Herefordshire, Worcestershire and Warwickshire [c] [c] [c] [c]
In post 2021 Female Black Highlands and Islands [c] [c] [c] [c]
In post 2021 Female Black Inner London - East 1720 1640 32740 31060
In post 2021 Female Black Inner London - West 2940 2840 36570 32960
In post 2021 Female Black Kent 110 110 31870 29290
In post 2021 Female Black Lancashire [c] [c] [c] [c]
In post 2021 Female Black Leicestershire, Rutland and Northamptonshire 110 100 25400 22350
In post 2021 Female Black Lincolnshire [c] [c] [c] [c]
In post 2021 Female Black Merseyside 60 50 27290 24890
In post 2021 Female Black North Eastern Scotland [c] [c] [c] [c]
In post 2021 Female Black North Yorkshire [c] [c] [c] [c]
In post 2021 Female Black Northern Ireland [c] [c] [c] [c]
In post 2021 Female Black Northumberland and Tyne and Wear 60 50 25100 21050
In post 2021 Female Black Outer London - East and North East 440 420 30560 31060
In post 2021 Female Black Outer London - South 1090 1030 32670 30110
In post 2021 Female Black Outer London - West and North West 550 520 30990 31060
In post 2021 Female Black Overseas 40 40 [c] [c]
In post 2021 Female Black Shropshire and Staffordshire 50 50 28600 27570
In post 2021 Female Black South Yorkshire 80 70 28520 25520
In post 2021 Female Black Southern Scotland [c] [c] [c] [c]
In post 2021 Female Black Surrey, East and West Sussex 100 90 29320 27570
In post 2021 Female Black Tees Valley and Durham [c] [c] [c] [c]
In post 2021 Female Black Unknown 40 40 [c] [c]
In post 2021 Female Black West Central Scotland 50 40 [c] [c]
In post 2021 Female Black West Midlands 720 660 27670 25930
In post 2021 Female Black West Wales and The Valleys [c] [c] [c] [c]
In post 2021 Female Black West Yorkshire 180 170 28460 27570
In post 2021 Female Chinese Bedfordshire and Hertfordshire [c] [c] [c] [c]
In post 2021 Female Chinese Berkshire, Buckinghamshire and Oxfordshire [c] [c] [c] [c]
In post 2021 Female Chinese Cheshire [c] [c] [c] [c]
In post 2021 Female Chinese Cornwall and Isles of Scilly [c] [c] [c] [c]
In post 2021 Female Chinese Cumbria [c] [c] [c] [c]
In post 2021 Female Chinese Derbyshire and Nottinghamshire [c] [c] [c] [c]
In post 2021 Female Chinese Devon [c] [c] [c] [c]
In post 2021 Female Chinese Dorset and Somerset [c] [c] [c] [c]
In post 2021 Female Chinese East Anglia [c] [c] [c] [c]
In post 2021 Female Chinese East Wales [c] [c] [c] [c]
In post 2021 Female Chinese East Yorkshire and Northern Lincolnshire [c] [c] [c] [c]
In post 2021 Female Chinese Eastern Scotland [c] [c] [c] [c]
In post 2021 Female Chinese Essex [c] [c] [c] [c]
In post 2021 Female Chinese Gloucestershire, Wiltshire and Bath/Bristol area [c] [c] [c] [c]
Note: Data has been truncated to 100 rows, please download the data to view the remaining rows

Download the data

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 30 civil servants for FTE or Headcount, and less than 50 civil servants for median and mean salary (shown as [c]). Additionally, zero responses have been suppressed for GPDR protected characteristics. Figures are rounded to the nearest 10, or £10 as appropriate.

Data source: All figures are aggregated from the Cabinet Office Annual Civil Service Employment Survey collection.

Version: Generated on 2022-07-26, with GIT 03ee02c.

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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. The Defence Electronics and Components Agency does not record the date in which their employees first enter the Civil Service and so entrants data is not available. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year Year of data collection (as at March 31st).
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.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ for 2022.
“Undeclared” accounts for employees who have actively declared that they do not want to disclose their ethnicity and “Unknown” accounts for employees who have not made an active declaration about their ethnicity.
Headcount Total number of civil servants (rounded to nearest 10).
FTE Total full-time equivalent employment numbers (rounded to nearest 10).
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.
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.