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

Status	Year	Sex	Region_ITL2	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Female	Bedfordshire and Hertfordshire	Asian	340	300	30220	27570
In post	2021	Female	Bedfordshire and Hertfordshire	Black	150	140	30430	29290
In post	2021	Female	Bedfordshire and Hertfordshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Bedfordshire and Hertfordshire	Mixed	90	80	31240	29290
In post	2021	Female	Bedfordshire and Hertfordshire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Bedfordshire and Hertfordshire	Undeclared	90	80	30070	29290
In post	2021	Female	Bedfordshire and Hertfordshire	Unknown	220	200	29050	27850
In post	2021	Female	Bedfordshire and Hertfordshire	White	1660	1510	32030	29290
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Asian	350	310	30140	27990
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Black	170	160	29620	27570
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Mixed	90	80	30200	27570
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Other ethnicity	40	30	[c]	[c]
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Undeclared	190	170	32560	29530
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	Unknown	480	450	30830	27850
In post	2021	Female	Berkshire, Buckinghamshire and Oxfordshire	White	3460	3200	31850	28670
In post	2021	Female	Cheshire	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Cheshire	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Cheshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Cheshire	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Cheshire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Cheshire	Undeclared	60	50	28130	27570
In post	2021	Female	Cheshire	Unknown	220	200	28500	27570
In post	2021	Female	Cheshire	White	1830	1680	30190	27570
In post	2021	Female	Cornwall and Isles of Scilly	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Cornwall and Isles of Scilly	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Cornwall and Isles of Scilly	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Cornwall and Isles of Scilly	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Cornwall and Isles of Scilly	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Cornwall and Isles of Scilly	Undeclared	40	40	[c]	[c]
In post	2021	Female	Cornwall and Isles of Scilly	Unknown	90	80	26220	21010
In post	2021	Female	Cornwall and Isles of Scilly	White	780	670	26190	26670
In post	2021	Female	Cumbria	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Cumbria	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Cumbria	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Cumbria	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Cumbria	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Cumbria	Undeclared	30	30	[c]	[c]
In post	2021	Female	Cumbria	Unknown	180	160	24860	21050
In post	2021	Female	Cumbria	White	1020	870	26800	25100
In post	2021	Female	Derbyshire and Nottinghamshire	Asian	370	320	29360	27570
In post	2021	Female	Derbyshire and Nottinghamshire	Black	190	180	26850	25830
In post	2021	Female	Derbyshire and Nottinghamshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Derbyshire and Nottinghamshire	Mixed	130	120	29920	27130
In post	2021	Female	Derbyshire and Nottinghamshire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Derbyshire and Nottinghamshire	Undeclared	230	200	30930	27570
In post	2021	Female	Derbyshire and Nottinghamshire	Unknown	880	810	27500	25560
In post	2021	Female	Derbyshire and Nottinghamshire	White	5100	4560	30740	27570
In post	2021	Female	Devon	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Devon	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Devon	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Devon	Mixed	50	40	[c]	[c]
In post	2021	Female	Devon	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Devon	Undeclared	160	140	27850	26030
In post	2021	Female	Devon	Unknown	490	430	26520	22350
In post	2021	Female	Devon	White	3610	3150	29730	27570
In post	2021	Female	Dorset and Somerset	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	Dorset and Somerset	Black	[c]	[c]	[c]	[c]
In post	2021	Female	Dorset and Somerset	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Dorset and Somerset	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	Dorset and Somerset	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Dorset and Somerset	Undeclared	80	70	28580	27130
In post	2021	Female	Dorset and Somerset	Unknown	210	190	28330	26740
In post	2021	Female	Dorset and Somerset	White	2160	1910	28390	27570
In post	2021	Female	East Anglia	Asian	200	160	25310	21430
In post	2021	Female	East Anglia	Black	70	60	31320	27570
In post	2021	Female	East Anglia	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	East Anglia	Mixed	110	100	27700	27570
In post	2021	Female	East Anglia	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	East Anglia	Undeclared	200	180	30280	27570
In post	2021	Female	East Anglia	Unknown	490	440	29110	25560
In post	2021	Female	East Anglia	White	5280	4750	29010	27560
In post	2021	Female	East Wales	Asian	160	150	29730	25720
In post	2021	Female	East Wales	Black	80	70	28070	25560
In post	2021	Female	East Wales	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	East Wales	Mixed	170	160	31460	27570
In post	2021	Female	East Wales	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	East Wales	Undeclared	230	210	32770	27570
In post	2021	Female	East Wales	Unknown	1480	1360	27650	24570
In post	2021	Female	East Wales	White	8810	7970	32140	27570
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Asian	[c]	[c]	[c]	[c]
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Black	[c]	[c]	[c]	[c]
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Mixed	[c]	[c]	[c]	[c]
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Undeclared	60	50	28010	27570
In post	2021	Female	East Yorkshire and Northern Lincolnshire	Unknown	190	170	25500	23970
In post	2021	Female	East Yorkshire and Northern Lincolnshire	White	2040	1770	26790	26930
In post	2021	Female	Eastern Scotland	Asian	110	100	31640	27570
In post	2021	Female	Eastern Scotland	Black	60	50	30790	27570
In post	2021	Female	Eastern Scotland	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Eastern Scotland	Mixed	60	60	37880	33450
In post	2021	Female	Eastern Scotland	Other ethnicity	[c]	[c]	[c]	[c]
In post	2021	Female	Eastern Scotland	Undeclared	240	210	31970	27570
In post	2021	Female	Eastern Scotland	Unknown	2560	2360	30290	26160
In post	2021	Female	Eastern Scotland	White	7650	7000	34790	29190
In post	2021	Female	Essex	Asian	120	110	32830	29290
In post	2021	Female	Essex	Black	170	160	29130	29290
In post	2021	Female	Essex	Chinese	[c]	[c]	[c]	[c]
In post	2021	Female	Essex	Mixed	50	50	31270	29290

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.