Civil Service Statistics data browser (Beta)

Data preview: All civil servants / Sex / Region_ITL3 / Ethnicity

Status	Year	Sex	Region_ITL3	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Female	Aberdeen City and Aberdeenshire	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Aberdeen City and Aberdeenshire	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Aberdeen City and Aberdeenshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Aberdeen City and Aberdeenshire	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Aberdeen City and Aberdeenshire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Aberdeen City and Aberdeenshire	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Female	Aberdeen City and Aberdeenshire	Unknown	210	200	29600	26160
In post	2021	Female	Aberdeen City and Aberdeenshire	White	660	600	33330	28720
In post	2021	Female	Angus and Dundee City	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Angus and Dundee City	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Angus and Dundee City	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Angus and Dundee City	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Angus and Dundee City	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Angus and Dundee City	Undeclared	30	30	[c]	[c]
In post	2021	Female	Angus and Dundee City	Unknown	190	170	25130	21400
In post	2021	Female	Angus and Dundee City	White	910	810	26950	23730
In post	2021	Female	Antrim and Newtownabbey	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	Unknown	[c]	[c]	[c]	[c]
In post	2021	Female	Antrim and Newtownabbey	White	50	50	26980	21770
In post	2021	Female	Ards and North Down	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	Unknown	[c]	[c]	[c]	[c]
In post	2021	Female	Ards and North Down	White	50	40	29120	22330
In post	2021	Female	Armagh City, Banbridge and Craigavon	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Armagh City, Banbridge and Craigavon	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Armagh City, Banbridge and Craigavon	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Armagh City, Banbridge and Craigavon	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Armagh City, Banbridge and Craigavon	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Armagh City, Banbridge and Craigavon	White	[c]	[c]	[c]	[c]
In post	2021	Female	Barking & Dagenham and Havering	Asian	80	70	30450	31060
In post	2021	Female	Barking & Dagenham and Havering	Black	80	70	30840	31060
In post	2021	Female	Barking & Dagenham and Havering	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Barking & Dagenham and Havering	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Barking & Dagenham and Havering	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Barking & Dagenham and Havering	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Female	Barking & Dagenham and Havering	Unknown	30	30	[c]	[c]
In post	2021	Female	Barking & Dagenham and Havering	White	160	140	29960	31060
In post	2021	Female	Barnet	Asian	260	240	35920	31880
In post	2021	Female	Barnet	Black	140	130	32990	31060
In post	2021	Female	Barnet	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Barnet	Mixed	60	50	33000	31060
In post	2021	Female	Barnet	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Barnet	Undeclared	70	60	38720	34940
In post	2021	Female	Barnet	Unknown	40	40	[c]	[c]
In post	2021	Female	Barnet	White	460	430	41940	35640
In post	2021	Female	Barnsley, Doncaster and Rotherham	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Barnsley, Doncaster and Rotherham	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Barnsley, Doncaster and Rotherham	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Barnsley, Doncaster and Rotherham	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Barnsley, Doncaster and Rotherham	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Barnsley, Doncaster and Rotherham	Undeclared	50	40	[c]	[c]
In post	2021	Female	Barnsley, Doncaster and Rotherham	Unknown	140	130	24370	22850
In post	2021	Female	Barnsley, Doncaster and Rotherham	White	1610	1370	26260	26300
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Asian	140	130	33650	30420
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Black	120	120	32070	31340
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Mixed	100	90	34550	31680
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Undeclared	190	170	37430	34340
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	Unknown	330	310	34400	30130
In post	2021	Female	Bath and North East Somerset, North Somerset and South Gloucestershire	White	4470	4140	34730	32710
In post	2021	Female	Bedford	Asian	50	50	26280	26570
In post	2021	Female	Bedford	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Bedford	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Bedford	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Bedford	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Bedford	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Female	Bedford	Unknown	50	50	28130	22890
In post	2021	Female	Bedford	White	310	280	29650	28480
In post	2021	Female	Belfast	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Belfast	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Belfast	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Belfast	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Belfast	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Belfast	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Female	Belfast	Unknown	270	240	25710	21430
In post	2021	Female	Belfast	White	1120	1010	29530	25560
In post	2021	Female	Berkshire	Asian	200	180	29910	29290
In post	2021	Female	Berkshire	Black	60	60	31190	29290
In post	2021	Female	Berkshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Berkshire	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Berkshire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Berkshire	Undeclared	60	50	31780	30600
In post	2021	Female	Berkshire	Unknown	180	170	31470	29290
In post	2021	Female	Berkshire	White	830	770	33930	29780
In post	2021	Female	Bexley and Greenwich	Asian	60	60	30190	31060
In post	2021	Female	Bexley and Greenwich	Black	150	140	30940	31060
In post	2021	Female	Bexley and Greenwich	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Bexley and Greenwich	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Bexley and Greenwich	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Bexley and Greenwich	Undeclared	40	30	[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_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.
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.