This metric uses the 2018-19 HESA student record. It is reduced down to the standard registration population which excludes incoming visiting and exchange students. This metric only considers full-time students and calculates the non-UK students as a proportion of all students in 2018-19. Any institutions with fewer than 50 students have been suppressed from the metric. In addition to this, institutions with fewer than five non-UK students were also suppressed (i.e. HESA publication suppression).

This metric uses the 2018-19 HESA student record. It is reduced down to the standard registration population which excludes incoming visiting and exchange students. The higher education institutions (HEIs) are plotted on a scatter chart according to the number of fulltime non-UK students and the number of countries the students are from. A regression (best fit) line plots the overall sector relationship between the two variables. HEIs are rated according to their vertical distance from the line of best fit. HEIs’ plots below the regression line show dependence on a small number of markets.

This metric uses the 2018-19 HESA student record.
It is reduced down to the standard registration population which excludes incoming visiting and exchange students.
This measure shows students from ODA countries^{[1]} as a proportion of the total international fulltime (standard registration)
student population (excludes incoming visiting and exchange students).

This measure considers the engagement of HEIs in the delivery of transnational education (TNE) at the postgraduate level. The postgraduate TNE is expressed as a proportion of the overall TNE delivery. The metric uses HESA Aggregate Offshore Record. HESA publication suppression methodology is used (i.e. HEIs with less than five postgraduate and less than 50 TNE students are suppressed).

This metric uses HESA Aggregate Offshore Record expressed as a proportion of the respective HEI’s total student population (on-campus and offshore). The rationale behind this indicator is to show the HEI’s global footprint.

This metric uses TNE delivered in ODA countries ^{[1]} as a proportion of the total TNE student population.
The measure shows HEIs’ engagement through TNE in countries and territories which attract ODA.

This metric uses the 2018-19 HESA Aggregate Offshore Record. Data for HEIs with less than 50 TNE students are suppressed. The metric considers the number of home countries for students registered on programmes with the respective HEI.

Non-continuation rate of first-degree international students
This metric uses the 2017-18 HESA student record.
It is reduced down to the standard registration population which excludes incoming visiting and exchange students.
In addition to this, this metric only considers full-time entrants to the first-degree study.
The HESA Performance Indicator methodology^{[2]} was then used to calculate the percentage of students
who do not continue into their second year one year later. Any institutions with fewer than 50 students
have been suppressed from the metric. Note that for this metric, five stars indicates a low rate of
non-continuation or a high rate of continuation.

This metric uses the 2020 National Student Survey for all final year students.
This metric considers question 27, overall satisfaction, and it follows the OfS publication suppression.
This measure includes the international students only. *This indicator needs to be treated with caution because the returns for some institutions
may not be representative for the international graduates.*

This metric uses the 2017-18 Graduate Outcomes Survey, Table 6 filtered for overseas students (EU and non-EU).
This metric considers all employment and further study and is suppressed according to the HESA publication suppression.
*This indicator needs to be treated with caution because the returns for some institutions
may not be representative for the international graduates.*

This metric uses the 2018-19 HESA student record. It is reduced down to the standard registration population which excludes
incoming visiting and exchange students. In addition to this, this metric only considers UK domiciled full-time students.
This metric calculates the proportion of students studying languages^{[3]}.
Additionally, any student studying a Combined degree^{[4]} with "languages" or a language have been counted as an MFL student.
Any institutions with fewer than 50 students have been suppressed from the metric.

This metric uses the 2015-16 entry student cohort from the HESA student record. It is reduced down to the standard registration
population which excludes incoming visiting and exchange students. In addition to this, this metric only
considers UK domiciled full-time students. This metric calculates the proportion of students studying abroad throughout their studies^{[5]}.
Any institutions with fewer than 50 students have been suppressed from the metric.

This metric uses the 2018-19 HESA Student Record. The number of Incoming Visiting Exchange students is expressed as a proportion of all student entrants in 2018-19.

This metric uses the 2018-19 HESA student record. It is reduced down to the standard registration population which excludes incoming visiting and exchange students. In addition to this, this metric only considers UK domiciled full-time students. This metric uses course title and searches for relevant terms.

The Proportion of International academic staff
This metric uses the 2018-19 HESA staff record and is reduced to just academic staff^{[6]}. The metric then calculates the
proportion of non-UK staff at each institution. Any institutions with fewer than 50 academic staff have been suppressed from the metric.

This metric uses the 2018-19 HESA staff record and is reduced to junior academic researchers^{[7]}.
The metric then calculates the proportion of non-UK staff at each institution.
Any institutions with fewer than 15 junior researchers have been suppressed from the metric.

This metric uses the 2018-19 HESA staff record and is reduced to just academic^{[8]} senior
researchers and professors^{[9]}. The metric then calculates the proportion of non-UK staff at each institution.
Any institutions with fewer than 50 senior researchers and professors have been suppressed from the metric.

This metric uses the 2018-19 HESA staff record and is reduced to just the senior leadership team^{[8]}.
The metric then calculates the proportion of non-UK staff at each institution.
Any institutions with fewer than 15 senior leadership team have been suppressed from the metric.

This measure uses the overall outcome, which is published in the People and Planet database.

This measure uses HESA Estates Management Record, Emissions and waste by HE provider and academic year^{[11]}.
The emissions are calculated per student. The student population is a sum of the HESA Standard Registration Population and the Aggregate Offshore Record.

This measure considers the tuition fee waivers. The HESA field used for this indicator is
Major source of tuition fees^{[12]}. The proportion of tuition fee waivers for students domiciled in an
ODA country are calculated^{[13]}.

This measure considers the proportion (%) of collaborative research output with researchers
from ODA countries^{[14]}.. The measure uses the Scival database^{[15]}.

This metric uses the 2018-19 HESA HE Business and Community Interaction
Survey (HEBCI) Table 1 – Income from collaborative research involving public funding data^{[16]}.
The metric is based on the EU government funding and other sources of funding as a total of
the 2018-19 income. Institutions with no reported data in Table 1 are excluded from this analysis.

This measure uses the International Collaboration Impact (the average number of
citations received by publications that have international co-authorship) which is captured by Scival^{[17]}.

- 1 Countries and territories eligible to receive official development assistance (ODA) are listed on the OECD website oecd.org/dac/fi...rds/daclist.htm The tables use the list for 2018 and 2019, which includes China (PRC) and India.
- 2 For full details of the HESA PIs methodology please see: hesa.ac.uk/data...ation/technical
- 3 Languages are defined as XJACSA01 = "F". Further information can be found here: hesa.ac.uk/coll...erived/xjacsa01
- 4 Combined are defined as XJACSA01 = "J". Further information can be found here: hesa.ac.uk/coll...erived/xjacsa01
- 5 Study abroad is defined as LOCSDY = "T" or "U" (Abroad for the whole year and abroad for a proportion of the year). Further information can be found here: hesa.ac.uk/coll...c18051/a/locsdy
- 6 For more details on the academic marker, please see hesa.ac.uk/coll...erived/xacmrk01.
- 7 Junior researchers are defined as LEVELS = L0 Senior Administrative staff ( Professional/technical) Research assistant, Teaching assistant. For more information please see hesa.ac.uk/coll...c17025/a/levels
- 8 For more details on the academic marker, please see hesa.ac.uk/coll...erived/xacmrk01.
- 9 Junior researchers are defined as LEVELS = D and E, F1, F2, I0, J0, K0 . For more information please see hesa.ac.uk/coll...c17025/a/levels
- 10 Junior researchers are defined as LEVELS = A0 to C2. For more information please see hesa.ac.uk/coll...c17025/a/levels
- 11 Emissions and waste by HE provider and academic year; hesa.ac.uk/data...estates/table-3
- 12 hesa.ac.uk/coll...18051/a/mstufee
- 13 Countries and territories eligible to receive official development assistance (ODA) are listed on the OECD website oecd.org/dac/fi...rds/daclist.htm The tables use the list for 2018 and 2019, which includes China (PRC) and India.
- 14 Ibid.
- 15 Scival 2020, Benchmarking, viewed 17 August 2020, Elsevier: Scival Database. And also, Scival 2020, Collaboration, viewed 17 August 2020, Elsevier: Scival Database.
- 16 For more information on HEBCI Table 1 please see: hesa.ac.uk/data...mmunity/table-1
- 17 Scival 2020, Benchmarking, viewed 17 August 2020, Elsevier: Scival Database. And also, Scival 2020, Collaboration, viewed 17 August 2020, Elsevier: Scival Database.