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Data Provider: Welsh Government Staff teaching in Welsh at Welsh Universities in Full-Time Equivalents (FTE) by cost centre and Welsh teaching ability
None
[Collapse]Gender[Filtered]
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Gender 1[Filter]
[Collapse]Mode[Filtered]
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Mode 1[Filter]
[Collapse]Teaching in Welsh[Filtered]
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Teaching in Welsh 1[Filter]
Institution[Filter]
Institution 1[Filter]
Year[Filtered]
Measure1
[Collapse]Welsh ability[Filter]
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Welsh ability 1
[Collapse]Cost centre[Filter]
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Cost centre 1
[Collapse]AllClick here to sortAll
Click here to sortAble to teach in WelshClick here to sortUnable to teach in WelshClick here to sortInformation not sought
[Collapse]All1,44511,7851,06514,295
AllAcademic services158510115
Administrative, business & social studies2051,7002002,110
Agriculture, forestry and veterinary science3019510240
Architecture & planning10180*195
Biological, mathematical & physical sciences851,7751201,980
Design, creative & performing arts200955401,195
Education25048510745
Engineering & technology801,2952501,630
Humanities, language based studies & archaeology300920551,275
Law, Economics and politics4063025695
Medicine, dentistry & health2253,5553254,110
Premises....
Residences & catering****

Metadata

Title
Staff at Welsh HEIs in FTE

Last update
March 2018 March 2018

Next update
March 2019 (provisional)

Publishing organisation
Welsh Government

Source 1
Higher education student record, Higher Education Statistics Agency

Contact email
post16ed.stats@gov.wales

Languages covered
English and Welsh

Data licensing
You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see http://www.nationalarchives.gov.uk/doc/open-government-licence

General description
Last Update: March 2018
Next Update: March 2019
Source: Higher Education Statistics Agency (HESA)
Contact: post16ed.stats@gov.wales


The Higher Education Statistics Agency (HESA) collect data on students, staff and resources of higher education institutions (HEIs) in the UK. Further information about HESA and their data collections, including some online tables, can be found on their website www.hesa.ac.uk

Rounding strategy
The presentation of figures in this table follows the principals of the HESA rounding strategy. The strategy is intended to prevent the disclosure of personal information about any individual. This strategy involves rounding all numbers to the nearest 5. A summary of this strategy is as follows:
· 0, 1, 2 are rounded to 0 and represented as '*'.
· All other numbers are rounded to the nearest 5

Total figures are also subject to this rounding methodology; the consequence of which is that the sum of numbers in each row or column may not match the total shown precisely.


Data collection and calculation
Figures are based on the HESA Staff Record. Data is required for all academic staff, and for non-academic staff if the contract is not atypical. Data also need not be returned for agency staff, self-employed staff, honorary contracts where the contract is not deemed to be a contract of employment and staff not employed by the HEI, but by a company consolidated into the HEI's accounts.
Staff with a contract full-time equivalent (FTE) of zero are not counted in this population.


Frequency of publication
Annual

Data reference periods
The HESA staff contract population includes contracts that were active on 1 December within the reporting period.

Statistical quality
Figures are based on the HESA Staff Record. Data is required for all academic staff, and for non-academic staff if the contract is not atypical. Data also need not be returned for agency staff, self-employed staff, honorary contracts where the contract is not deemed to be a contract of employment and staff not employed by the HEI, but by a company consolidated into the HEI's accounts.

More information on the staff record for 2015/16 can be found in the HESA Staff in Higher Education definitions.
https://www.hesa.ac.uk/data-and-analysis/publications/staff-2015-16/definitions

Between 2014/15 and 2015/16 the University of South Wales reported a significant drop in staff numbers. This was due to a combination of normal contractual changes and turnover of employees, limited institutional restructuring, a combination of HR and payroll systems, and a data cleansing exercise.