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

Status	Year	Ethnicity	Region_ITL2	Sex	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Asian	Bedfordshire and Hertfordshire	Female	340	300	30220	27570
In post	2021	Asian	Bedfordshire and Hertfordshire	Male	200	200	31730	29290
In post	2021	Asian	Berkshire, Buckinghamshire and Oxfordshire	Female	350	310	30140	27990
In post	2021	Asian	Berkshire, Buckinghamshire and Oxfordshire	Male	250	240	31390	28700
In post	2021	Asian	Cheshire	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Cheshire	Male	30	30	[c]	[c]
In post	2021	Asian	Cornwall and Isles of Scilly	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Cornwall and Isles of Scilly	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Cumbria	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Cumbria	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Derbyshire and Nottinghamshire	Female	370	320	29360	27570
In post	2021	Asian	Derbyshire and Nottinghamshire	Male	280	270	30550	27570
In post	2021	Asian	Devon	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Devon	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Dorset and Somerset	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Dorset and Somerset	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	East Anglia	Female	200	160	25310	21430
In post	2021	Asian	East Anglia	Male	170	160	29310	25310
In post	2021	Asian	East Wales	Female	160	150	29730	25720
In post	2021	Asian	East Wales	Male	170	170	31010	25560
In post	2021	Asian	East Yorkshire and Northern Lincolnshire	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	East Yorkshire and Northern Lincolnshire	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Eastern Scotland	Female	110	100	31640	27570
In post	2021	Asian	Eastern Scotland	Male	80	80	33190	27570
In post	2021	Asian	Essex	Female	120	110	32830	29290
In post	2021	Asian	Essex	Male	100	90	37170	29290
In post	2021	Asian	Gloucestershire, Wiltshire and Bath/Bristol area	Female	320	290	33390	28590
In post	2021	Asian	Gloucestershire, Wiltshire and Bath/Bristol area	Male	370	360	35720	32860
In post	2021	Asian	Greater Manchester	Female	640	570	27770	25560
In post	2021	Asian	Greater Manchester	Male	730	710	29840	27570
In post	2021	Asian	Hampshire and Isle of Wight	Female	160	140	28300	26670
In post	2021	Asian	Hampshire and Isle of Wight	Male	140	130	32790	27570
In post	2021	Asian	Herefordshire, Worcestershire and Warwickshire	Female	110	90	25530	25040
In post	2021	Asian	Herefordshire, Worcestershire and Warwickshire	Male	90	80	27410	25400
In post	2021	Asian	Highlands and Islands	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Highlands and Islands	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Inner London - East	Female	1450	1320	35940	31060
In post	2021	Asian	Inner London - East	Male	1070	1050	38590	32520
In post	2021	Asian	Inner London - West	Female	3560	3390	40880	36160
In post	2021	Asian	Inner London - West	Male	2440	2410	41950	36650
In post	2021	Asian	Kent	Female	90	80	29190	29290
In post	2021	Asian	Kent	Male	70	70	29800	29290
In post	2021	Asian	Lancashire	Female	400	330	24420	21010
In post	2021	Asian	Lancashire	Male	570	540	25130	21440
In post	2021	Asian	Leicestershire, Rutland and Northamptonshire	Female	570	490	24960	21770
In post	2021	Asian	Leicestershire, Rutland and Northamptonshire	Male	460	430	25470	22350
In post	2021	Asian	Lincolnshire	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Lincolnshire	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Merseyside	Female	70	60	33150	25040
In post	2021	Asian	Merseyside	Male	90	90	34110	27570
In post	2021	Asian	North Eastern Scotland	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	North Eastern Scotland	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	North Yorkshire	Female	40	30	[c]	[c]
In post	2021	Asian	North Yorkshire	Male	40	40	[c]	[c]
In post	2021	Asian	Northern Ireland	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Northern Ireland	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Northumberland and Tyne and Wear	Female	160	150	26930	21440
In post	2021	Asian	Northumberland and Tyne and Wear	Male	120	120	30070	25560
In post	2021	Asian	Outer London - East and North East	Female	440	380	29370	31060
In post	2021	Asian	Outer London - East and North East	Male	260	250	30040	31060
In post	2021	Asian	Outer London - South	Female	1070	970	33140	29570
In post	2021	Asian	Outer London - South	Male	640	620	35620	31060
In post	2021	Asian	Outer London - West and North West	Female	1630	1450	30940	29690
In post	2021	Asian	Outer London - West and North West	Male	1010	970	31510	29080
In post	2021	Asian	Overseas	Female	60	60	42680	34770
In post	2021	Asian	Overseas	Male	90	90	48870	45910
In post	2021	Asian	Shropshire and Staffordshire	Female	140	130	31460	27570
In post	2021	Asian	Shropshire and Staffordshire	Male	160	150	32620	27570
In post	2021	Asian	South Yorkshire	Female	210	190	27550	24890
In post	2021	Asian	South Yorkshire	Male	200	200	28940	25040
In post	2021	Asian	Southern Scotland	Female	[c]	[c]	[c]	[c]
In post	2021	Asian	Southern Scotland	Male	[c]	[c]	[c]	[c]
In post	2021	Asian	Surrey, East and West Sussex	Female	180	160	29480	27960
In post	2021	Asian	Surrey, East and West Sussex	Male	130	130	29890	27570
In post	2021	Asian	Tees Valley and Durham	Female	50	50	25400	21440
In post	2021	Asian	Tees Valley and Durham	Male	60	50	27890	24880
In post	2021	Asian	Unknown	Female	110	90	28840	27570
In post	2021	Asian	Unknown	Male	60	60	31140	27570
In post	2021	Asian	West Central Scotland	Female	130	110	27680	24890
In post	2021	Asian	West Central Scotland	Male	110	100	30510	26160
In post	2021	Asian	West Midlands	Female	2020	1800	27270	25560
In post	2021	Asian	West Midlands	Male	1560	1520	27920	26470
In post	2021	Asian	West Wales and The Valleys	Female	50	40	[c]	[c]
In post	2021	Asian	West Wales and The Valleys	Male	50	50	[c]	[c]
In post	2021	Asian	West Yorkshire	Female	880	760	27090	25560
In post	2021	Asian	West Yorkshire	Male	920	890	28470	27570
In post	2021	Black	Bedfordshire and Hertfordshire	Female	150	140	30430	29290
In post	2021	Black	Bedfordshire and Hertfordshire	Male	80	80	32090	30270
In post	2021	Black	Berkshire, Buckinghamshire and Oxfordshire	Female	170	160	29620	27570
In post	2021	Black	Berkshire, Buckinghamshire and Oxfordshire	Male	110	110	31590	29290
In post	2021	Black	Cheshire	Female	[c]	[c]	[c]	[c]
In post	2021	Black	Cheshire	Male	[c]	[c]	[c]	[c]
In post	2021	Black	Cornwall and Isles of Scilly	Female	[c]	[c]	[c]	[c]
In post	2021	Black	Cornwall and Isles of Scilly	Male	[c]	[c]	[c]	[c]
In post	2021	Black	Cumbria	Female	[c]	[c]	[c]	[c]
In post	2021	Black	Cumbria	Male	[c]	[c]	[c]	[c]
In post	2021	Black	Derbyshire and Nottinghamshire	Female	190	180	26850	25830
In post	2021	Black	Derbyshire and Nottinghamshire	Male	120	120	27970	27570
In post	2021	Black	Devon	Female	[c]	[c]	[c]	[c]
In post	2021	Black	Devon	Male	[c]	[c]	[c]	[c]

Note: Data has been truncated to 100 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 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.