This bulletin is the annual first release of HESA student data. It draws upon data from the revised student data collection (delivered by the Data Futures programme) and marks the second year of reporting using the new data model. Once again, a comprehensive quality assessment has been undertaken on the dataset and this is detailed in our accompanying student data quality report. A detailed list of findings is available in the data quality and insights resource, which is also accompanied by provider specific data notes. The coverage of data is detailed in the notes section of this release. In summary, we cover data about higher education students and qualifiers from the following types of providers within the UK: -Higher education (HE) providers in England registered with the Office for Students (OfS) in the Approved (fee cap) or Approved categories; -Publicly funded HE providers in Northern Ireland and Scotland; and -Providers in Wales that are funded directly for higher education provision by Medr and providers in Wales that return data to HESA about specifically designated courses. This bulletin also includes information from the HESA Aggregate Offshore record which can be seen in Figure 12. This separate record counts students studying wholly outside the UK who are either registered with the reporting HE provider or who are studying for an award of the reporting HE provider.

The student sample for this research was selected from YouthSight’s Student Panel. Based on HESA statistics, the sample comprises national representation of gender, course year, and university type. The data is weighted on these factors. After fieldwork, the sample collected was checked for quality, and any ‘straight-liners’ were removed from the final total. The total student sample size is 2,153 respondents.Fieldwork was carried out between 29th July and 2nd August 2019.The survey instrument was developed by reviewing the limited number of studies and surveys on freedom of expression, consultations with colleagues and informed by our own experience. This resulted in the inclusion of seven comparative statements that are routinely used in surveys on freedom of expression in US universities, and a 15-item Moral Foundations Questionnaire, which enables the data to be interrogated by underlying moral profile. The definition of freedom of expression uses the framing adopted by King’s College London, which was developed through extensive consultation with the Students’ Union.

United Kingdom UK: Over-Age Students: Primary: % of Enrollment data was reported at 1.126 % in 2015. This records an increase from the previous number of 1.067 % for 2014. United Kingdom UK: Over-Age Students: Primary: % of Enrollment data is updated yearly, averaging 1.594 % from Dec 1971 (Median) to 2015, with 31 observations. The data reached an all-time high of 7.386 % in 1979 and a record low of 0.000 % in 2003. United Kingdom UK: Over-Age Students: Primary: % of Enrollment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Education Statistics. Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.; ; UNESCO Institute for Statistics; ;

The Health Survey for England (HSE), 2002: Teaching Dataset has been prepared solely for the purpose of teaching and student use. The dataset will help class tutors to incorporate empirical data into their courses and thus to develop students’ skills in quantitative methods of analysis.

All the variables and value labels are those used in the original HSE files, with one exception (New-wt) which is a new weighting variable.

Users may be interested in the Guide to using SPSS for Windows available from Online statistical guides and which explores this dataset.

The original HSE 2002 dataset is held at the UK Data Archive under SN 4912.

Census 2021 data on international student population of England and Wales by country of birth, passport held, age, sex and other characteristics.

These datasets are part of the release: The changing picture of long-term international migration, England and Wales: Census 2021. Figures may differ slightly in future releases because of the impact of removing rounding and applying further statistical processes.

Figures are based on geography boundaries as of 1 April 2022.

This release includes comparisons to the folllowing 2011 Census data:

• Students in full-time education
• International students (by Region)
• International students by country of birth
• International students by Top 100 countries of birth

Quality notes can be found here

Quality information about demography and migration can be found here

Quality information about labour market can be found here

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021 was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

International student

An international student is defined as someone who was a usual resident in England and Wales and meets all the following criteria:

• in-full-time education
• non-UK-born
• non-UK passport holder
• aged 17 years or over upon most recent arrival in the UK
• aged 18 years or over on Census Day.

Country of birth

The country in which a person was born. The following country of birth classifications are used in this dataset:

• Country of birth 12a: Political groupings of countries by EU membership and geographical location for non-EU countries.
• Country of birth 190a: Individual countries. This classification includes geographical groupings for low volume countries.
• Country of birth (3 categories): These categories have been derived from country of birth 12a and include all UK countries in "Europe: United Kingdom", all EU countries in "Europe: EU countries" and all remaining countries including British Overseas territories in "Non-EU countries (including British Overseas)".

More information about country of birth classifications can be found here.

Passports held

The country or countries that a person holds, or is entitled to hold, a passport for. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. The following classifications were created for this dataset for comparability with other international migration releases:

• Passports held (4 categories): High level political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (12 categories): Political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (150 categories): Individual countries for passport held. This classification includes geographical groupings for low volume countries.

More information can be found here

Economic activity status

The economic activity status of a person on Census Day, 21 March 2021. The following classification is used in this dataset:

• Economic activity status classification status_12a

Industry

The industry worked in for those in current employment. The following classification was used for this dataset:

• Industry (current) classification 22a

Student accommodation

Student accommodation breaks down household type by typical households used by students. This includes communal establishments, all student households, households containing a single family, households containing multiple families, living with parents and living alone.

More information can be found here

Second address indicator

The second address indicator is used to define an address (in or out of the UK) a person stays at for more than 30 days per year that is not their place of usual residence. Second addresses typically include: armed forces bases, addresses used by people working away from home, a student’s home address, the address of another parent or guardian, a partner’s address, a holiday home. There are 3 categories in this classification.

Detailed description can be found here

Main language (detailed)

This is used to define a person's first or preferred language. This breaks down the responses given in the write-in option "Other, write in (including British Sign Language)". There are 95 categories in the primary classification.

More details can be found here

Proficiency in English language

Proficiency in English language is used to determine how well a person whose main language is not English (English or Welsh in Wales) feels they can speak English. There are a total number of 6 categories in this classification.

More details can be found here

The research sets out to compare how British and German staff and students are changing in response to neoliberal influences in higher education. In the past, these two countries had a reasonably synoptic vision of values in higher education endorsing personal development, collegial community, pursuit of knowledge and academic freedom. Currently, a market forces model based on competition and choice is relativising some of these traditional values, and has penetrated much more deeply in the UK than in Germany. The research investigates whether expectations, academic values, work satisfaction levels and conceptions of human relationships now actually differ across the two systems: it finds, for example, that high study satisfaction on the part of UK students is ‘paid for’ by low job satisfaction on the part of staff. Methodologically, it is based upon surveys and interviews conducted among staff and students in 12 universities in each country. The data reveal participants’ perceptions of the strengths and weaknesses of each system, specifically in relation to Education. It highlights which features of modern-day academic life are accepted or rejected by staff, and what attitudes they take towards market-oriented reform. The UK staff feel over-worked, underpaid and downwardly mobile in terms of status in comparison with their German counterparts, but there is a love of the job that overrides all these negative feelings. Semi-structured interviews with staff in twelve HE institutions in the UK and twelve in the Federal Republic of Germany (FRG), and during the course of these interviews staff were asked to fill in questionnaires. Students too were given questionnaires, normally distributed during or at the end of class so as to avoid non-response rates. A sample of 90 staff was aimed for in each country; 87 in the UK and 82 in the FRG completed both questionnaires and interviews. 1489 UK students and 986 FRG students completed the questionnaire.

This project investigated UK secondary school students’ views of inequality and their sense of agency concerning their occupational prospects, using questionnaire and interview data. The data came from 78 students from three secondary schools in England between Year 7 and Year 13 who were aged between 12 and 19. The three schools were in areas with different socioeconomic characteristics – an affluent town in the London commuter belt (School A), a city in the east of England (School B) and a town to the east of London (School C). School A had a lower than national average free school meals (FSM) rate, whereas both School B and School C had a higher than national average FSM rate. 18 participants were from School A, 38 from School B and 22 from School C. While all 18 students in School A and all 22 students in School C participated in both the questionnaire and follow-up interview stages, in School B 37 participants filled in the questionnaire and, of these, 22 took part in the interviews. One student from School B who did not fill in a questionnaire took part in the interview, making the total interviews from School B 23. One student from School C did not want to have their interview audio-recorded; therefore, their interview transcript does not exist. As a result, the dataset in total contains 77 questionnaires and 62 interview transcripts. The PDF files are questionnaire files and the word document files are interview transcripts. A file name (for both the pdf files and word document files) begins with ‘Y’ that is followed by a number which indicates a school year and this is followed by two letters that indicate a code for an individual participant, while the letter A, B or C immediately after a hyphen indicates School A, B or C respectively.

United Kingdom UK: School Enrollment: Primary: Male: % Gross data was reported at 101.967 % in 2015. This records a decrease from the previous number of 107.653 % for 2014. United Kingdom UK: School Enrollment: Primary: Male: % Gross data is updated yearly, averaging 103.720 % from Dec 1971 (Median) to 2015, with 40 observations. The data reached an all-time high of 107.653 % in 2014 and a record low of 99.683 % in 2002. United Kingdom UK: School Enrollment: Primary: Male: % Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Education Statistics. Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This dataset provides Census 2021 estimates that classify schoolchildren and full-time students aged 5 years and over in England and Wales by student accommodation and by age. The estimates are as at Census Day, 21 March 2021.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Student accommodation type

Combines the living situation of students and school children in full-time education, whether they are living:

• alone
• in a student household
• with parents
• in a communal establishment, split by university and other communal establishment type
• in other household types

It also includes whether these households contain one or multiple families.

This variable is comparable with the student accommodation variable but splits the communal establishment type into “university” and “other” categories.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

United Kingdom UK: School Enrollment: Primary: % Net data was reported at 99.942 % in 2015. This records an increase from the previous number of 99.908 % for 2014. United Kingdom UK: School Enrollment: Primary: % Net data is updated yearly, averaging 98.073 % from Dec 1971 (Median) to 2015, with 40 observations. The data reached an all-time high of 99.948 % in 2000 and a record low of 93.499 % in 1985. United Kingdom UK: School Enrollment: Primary: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This bulletin is the annual first release of HESA student data. It covers data about higher education students and qualifiers from the following types of providers within the UK: Higher education (HE) providers in England registered with the Office for Students (OfS) in the Approved (fee cap) or Approved categories; Publicly funded HE providers in Wales, Scotland and Northern Ireland; and Further education (FE) colleges in Wales. These providers submit data to HESA via either the Student record or the Student alternative record. This is the second year that data from both records have been combined together in the figures within this release to provide a more complete picture of higher education within the UK. Further details on coverage can be seen in the notes section of this release. For users wishing to undertake time-series analysis that make use of data drawn exclusively from the HESA Student record (and therefore comparable with the coverage of tables and charts published in previous issues of this bulletin) an option is provided to 'Download source data 051 record only (csv)' underneath each table and chart. Please note that this is the final year this option will be available. HESA do not intend to continue with the production of 051 record only source data. This bulletin also includes information from the HESA Aggregate offshore record and can be seen in figure 12. This separate record counts students studying wholly outside the UK who are either registered with the reporting HE provider or who are studying for an award of the reporting HE provider.

Abstract copyright UK Data Service and data collection copyright owner.The purpose of this study was to investigate the factors which influence young people in their demand for higher education in its various forms - at universities, colleges of education (teacher training colleges), polytechnics and colleges of further education. Six of these eight surveys are the main study which was carried out on (a) the schools and the fifth-formers and the sixth-formers in them, and (b) the colleges of further education and their home students studying A' level subjects full-time. The material from the young people includes that given by them at two stages, first from the main survey which took place before they sat GCE examinations and before the results of higher education applications were available and secondly, from the follow-up survey after the results of the GCE examinations were known and the young people already embarked on courses the following session. For the fifth and sixth-form surveys (67001, 67002 and 68005) there is also incorporated the form teachers' broad assessment of ability (three categories) examination prospects and higher education and career aspirations. For the schools the main survey was carried out in the Spring term 1967 with the follow-up in the autumn. The equivalent dates in the colleges of further education were May 1967 and January 1968. (The remaining two surveys are subsidiary to the project; 66023 is the pilot stage of the main survey part of 68004, i.e. home students studyingA' levels full-time in the further education colleges, whilst 67005 (fifth-formers in the fast stream in schools) comprises a sub-set of material from the main fifth-form survey for an enlarged sample of those pupils in schools with fast streams). The six surveys in the main study are interlinked with information from the school or college complementing that from the pupil or student. In addition there is standardisation - as far as was practicable - between sections of the questionnaire used for the fifth-formers, lower and upper sixth-formers and students in further education (e.g. general background). The contents of the questionnaire for the upper sixth-formers and further education students corresponded particularly closely. Copies of all reports on the surveys are in the Library of the Royal Statistical Society. Mainly they deal with specific aspects of the data e.g. 'Subject commitments and the demand for higher education', G. A. Barnard and M. D. McCreath (1970) Journal of the Royal Statistical Society Series A (General) 133 (3) 358 - 408, 'Report of the surveys of full-time 'A' level students (home) in colleges of further education', by M. D. McCreath (1970). All the material which is available is listed in the most recent report written in 1972, Factors influencing choice of higher education: surveys carried out by Margaret D McCreath under the direction of Professor G A Barnard, Department of Mathematics, University of Essex. This 1972 report includes data from both the school and further education surveys. The extensive tables are based on the following variables: social class, expectations about leaving school and reasons for doing so, source of the most useful discussion on what to do after school, family experience of higher education, O' andA' level attempts and passes, knowledge of higher education entry requirements and with whom these were discussed, as well as intended and actual destinations in higher education. The technical note on the sample design by Judith Doherty was published in 1970 as Appendix 1 of Volume 1 of the Schools Council Sixth-Form Survey, Sixth-Form Pupils and Teachers. Details of the response rates are given in the 1972 report mentioned above.

Data compiled using the Longitudinal Education Outcomes (LEO) database from Department for Education that links administrative education data from early years through to higher education from the Department for Education (DfE) and the Higher Education Statistics Agency (HESA) with employment, benefits and earnings data from the Department for Work and Pensions (DWP) and Her Majesty's Revenue and Customs (HMRC). It does not include students who were home schooled.

United Kingdom UK: School Enrollment: Tertiary: % Gross data was reported at 57.295 % in 2015. This records an increase from the previous number of 57.270 % for 2014. United Kingdom UK: School Enrollment: Tertiary: % Gross data is updated yearly, averaging 37.955 % from Dec 1971 (Median) to 2015, with 45 observations. The data reached an all-time high of 62.567 % in 2002 and a record low of 14.564 % in 1971. United Kingdom UK: School Enrollment: Tertiary: % Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Education Statistics. Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

The Students in Higher Education publication is presented as folders of Microsoft Excel tables. These include breakdowns by subject of study, level of study, mode of study, age, sex, ethnicity, disability, domicile and much more. There are also tables providing a comprehensive look at the qualifications obtained by students at all levels. Data included for 1994/95 to 2015/16

This Statistical First Release (SFR) has been produced by the Higher Education Statistics Agency (HESA) in collaboration with statisticians from the UK Department for Business, Innovation and Skills (BIS), the Welsh Government (WG), the Scottish Government (SG) and the Department for Employment and Learning Northern Ireland (DEL(NI)). It has been released according to the arrangements approved by the UK Statistics Authority. It provides details of student enrolments and qualifications obtained by higher education (HE) students at HE institutions (HEIs) in the United Kingdom (UK) for the academic year 2011/12. This SFR also includes information from the HESA Aggregate Offshore Record. This record captures students studying wholly outside the UK who are either registered with the reporting institution or who are studying for an award of the reporting institution.

This is an excel spreadsheet containing all the tables used in the Graduates in the Labour Market Report. Including: headline figures, unemployment and inactivity rates back to 1992, information on male and female graduates and information on outcomes for graduates with undergraduate degrees.

Full resource found at: https://sparcopen.org/our-work/big-deal-knowledge-base

Sourcing: Pricing Data: Individual entries are linked to third party resources within the database; non-linked entries come from Freedom of Information requests (courtesy of Ted Bergstrom and Paul Courant). FTE Data: UK Higher Education Statistics Agency for UK FTE (HE student enrollment FTE + HE staff); DOE IPEDS for US FTE (“Full-time equivalent fall enrollment” + “Total FTE staff”); Universities Canada and COPPUL for Canadian FTE (student data only). Institutional Categories: Carnegie Classification of Institutions of Higher Education.

This dataset presents a cluster analysis of UK universities based on four synthetic environments: social, cultural, physical and economic. These were developed based on variables that represented an educational ecosystem of well-being. The cluster analysis was initially linked to the LSYPE-Secure dataset using the UKPRNs (i.e. higher education institutional number) and hence the cluster analysis used data from around 2009-2012 to represent Wave 6 and Wave 7 of the LSYPE-Secure dataset. The cluster analysis was based on using a variety of variables available from HESA and the Office for Students (OfS) to represent these environments, for example: Social: had demographics of students and staff including ethnicity and sex Cultural: had data on research and teaching scores Economic: had data on student: staff ratio and expenditure Physical: had data related to the built and natural environment including residential sites, blue and green spacesEarlier last year (April 2018), the UK Office for Students (OfS) noted that students from underrepresented groups such as black and minority ethnic (BME) students and those from disadvantaged backgrounds were less likely to succeed at university. Coupled with this, research has shown that students from these groups are also more likely to have poorer mental health and wellbeing. However, there is substantial social and political pressure on universities to act to improve student mental health. For example, the Telegraph ran the headline "Do British universities have a suicide problem?" Thus, in June 2018, the Hon. Sam Gyimah, the then UK universities minister, informed university vice-chancellors that student mental health and wellbeing has to be one of their top priorities. Universities are investing substantive sums in activities to tackle student mental health but doing so with no evidence base to guide strategic policy and practice. These activities may potentially be ineffective, financially wasteful, and possibly, counter-productive. Therefore, we need a better evidence base which this project intends to fulfil. Currently, there is a lack of evidence and understanding about which groups of young people going to universities may have poorer life outcomes (such as education, employment, and mental health and well-being) as a result of their mental health and wellbeing during their adolescent years. These life outcomes and their mental health and wellbeing, however, are important for understanding the context of the complex social identities of the young people, such as the intersections between their gender, ethnicity, sexuality, religion and socio-economic status. Otherwise, these young people may feel misunderstood or judged. Most of the large body of quantitative research on life outcomes tend to focus on one social characteristic/identity of the student, such as the young person's gender or ethnicity or socio-economic status, but not the combination of all of these, i.e. the intersectionalities. Primarily, the reason for this has been the lack of sufficient data. This research draws on data from the Longitudinal Study of Young People in England (LSYPE), which tracked over 15,000 adolescents' education and health over 7 years between 2004-2010 (from when they were 13-19 years old), and the Next Steps Survey, which collected data from the same individuals in 2015 when they were 25 years and in the job market. This dataset also had an ethnic boost, which thus allows for the exploratory analysis of intersectionalities. Currently, there are a number of interventions being implemented to improve the university environment. However, there is a lack of evidence on how the university environment (such as their its size, amount of academic support available, availability of sports activities, students' sense of belonging, etc.) can affect the young person'students' mental health and wellbeing life outcomes. This evidence can be determined through by using the LSYPE data supplemented and by university environment data supplemented from the National Student Survey (NSS) and the Higher Education Statistics Agency (HESA). Thus this research uses an intersectional approach to investigate the extent to which the life outcomes of young persons who go to university are affected by their social inequality groupings and mental health and well-being during adolescence. Additionally, this research also aims to determine the characteristics of university environments that can improve the life outcomes of these young people depending on their social and mental health/wellbeing background. We use secondary data analysis of mainly HESA and OfS variables and created derived variables.

Abstract copyright UK Data Service and data collection copyright owner. Futuretrack is an academic research study that explores the relationship between higher education, career decision-making and labour market opportunities. Graduate employment has become a heated issue in media and academic debates among those concerned with the relationship between higher education and the labour market. But what kinds of jobs are recent graduates doing? Is it now necessary to have more than just a degree? Are people who didn't go into higher education and got a job after school at a disadvantage or advantage relative to graduates? Who gets career opportunities and who ends up under-employed, and just what is 'graduate employability'? These are just some of the questions asked by Futuretrack, a longitudinal study conducted by a team of researchers at the Warwick Institute for Employment Research. It tracked the 2005/2006 cohort of applicants who applied to study on full-time undergraduate courses through the University and Colleges Admission Service (UCAS) applicants for six years, starting from their initial application to higher education. By surveying the cohort four times during May 2006 to February 2012, Futuretrack sheds light on the relationship between higher education, employment and how students’ views of career options evolved during their studies. Further information and reports are available on the Futuretrack website. Main Topics: The study covers the relationship between higher education, career decision-making and labour market opportunities.