Innovation Panel Questionnaire Module
youngadults_ip5
young adults module
Questions 59
youngadults_ip5.appoth
Applied to university in other areas
Type: choice
Source: UKHLS
Text: Did you apply to other subject areas?
| Option | Label |
|---|---|
| 1 | Yes |
| 2 | No |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_appoth (e_indresp_ip) APPLIED TO UNIVERSITY IN OTHER SUBJECT AREAS
youngadults_ip5.appsub1
Applied to university, first choice
Type: choice
Source: UKHLS
Text: Which subject was your first choice to study at university?
| Option | Label |
|---|---|
| 1 | Accounting and Finance |
| 2 | Aeronautical and Manufacturing Engineering |
| 3 | Agriculture and Forestry |
| 4 | American Studies |
| 5 | Anatomy and Physiology |
| 6 | Anthropology |
| 7 | Archaeology |
| 8 | Architecture |
| 9 | Art and Design |
| 10 | Biological Sciences |
| 11 | Building |
| 12 | Business Studies |
| 13 | Celtic Studies |
| 14 | Chemical Engineering |
| 15 | Chemistry |
| 16 | Civil Engineering |
| 17 | Classics and Ancient History |
| 18 | Communication and Media Studies |
| 19 | Computer Science |
| 20 | Dentistry |
| 21 | Drama, Dance and Cinematics |
| 22 | East and South Asian Studies |
| 23 | Economics |
| 24 | Education |
| 25 | Electrical and Electronic Engineering |
| 26 | English |
| 27 | Food Science |
| 28 | French |
| 29 | General Engineering |
| 30 | Geography & Environmental Science |
| 31 | Geology |
| 32 | German |
| 33 | History |
| 34 | History of Art, Architecture and Design |
| 35 | Hospitality, Leisure, Recreation & Tourism |
| 36 | Iberian Languages |
| 37 | Italian |
| 38 | Land and Property Management |
| 39 | Law |
| 40 | Librarianship & Information Management |
| 41 | Linguistics |
| 42 | Literature |
| 43 | Materials Technology |
| 44 | Mathematics |
| 45 | Mechanical Engineering |
| 46 | Medicine |
| 47 | Middle Eastern and African Studies |
| 48 | Modern languages |
| 49 | Music |
| 50 | Nursing |
| 51 | Other Subjects Allied to Medicine |
| 52 | Pharmacology and Pharmacy |
| 53 | Philosophy |
| 54 | Physics and Astronomy |
| 55 | Politics |
| 56 | P.P.E. (Philosophy, Politics and Economics) |
| 57 | Psychology |
| 58 | Russian |
| 59 | Social Policy |
| 60 | Social Work |
| 61 | Sociology |
| 62 | Sports Science |
| 63 | Theology and Religious Studies |
| 64 | Town and Country Planning and Landscape |
| 65 | Veterinary Medicine |
| 97 | Other/Not found |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if APPOTH = 1 (Applied to study other subjects at university)
- e_appsub1 (e_indresp_ip) APPLIED TO UNIVERSITY, FIRST CHOICE
- e_pappsub1 (e_indresp_ip) APPLIED TO UNIVERSITY, FIRST CHOICE
youngadults_ip5.appsub1o
Applied in other subject, first choice
Type: string
Source: UKHLS
Interviewer Instruction: TYPE IN
Text: What other subject was that?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if APPOTH = 1 (Applied to study other subjects at university)
and if APPSUB1 = 97 (First subject applied for was 'other')
youngadults_ip5.appsub2
Applied to university, second choice
Type: choice
Source: UKHLS
Text: And which subject was your second choice to study at university?
| Option | Label |
|---|---|
| 1 | Accounting and Finance |
| 2 | Aeronautical and Manufacturing Engineering |
| 3 | Agriculture and Forestry |
| 4 | American Studies |
| 5 | Anatomy and Physiology |
| 6 | Anthropology |
| 7 | Archaeology |
| 8 | Architecture |
| 9 | Art and Design |
| 10 | Biological Sciences |
| 11 | Building |
| 12 | Business Studies |
| 13 | Celtic Studies |
| 14 | Chemical Engineering |
| 15 | Chemistry |
| 16 | Civil Engineering |
| 17 | Classics and Ancient History |
| 18 | Communication and Media Studies |
| 19 | Computer Science |
| 20 | Dentistry |
| 21 | Drama, Dance and Cinematics |
| 22 | East and South Asian Studies |
| 23 | Economics |
| 24 | Education |
| 25 | Electrical and Electronic Engineering |
| 26 | English |
| 27 | Food Science |
| 28 | French |
| 29 | General Engineering |
| 30 | Geography & Environmental Science |
| 31 | Geology |
| 32 | German |
| 33 | History |
| 34 | History of Art, Architecture and Design |
| 35 | Hospitality, Leisure, Recreation & Tourism |
| 36 | Iberian Languages |
| 37 | Italian |
| 38 | Land and Property Management |
| 39 | Law |
| 40 | Librarianship & Information Management |
| 41 | Linguistics |
| 42 | Literature |
| 43 | Materials Technology |
| 44 | Mathematics |
| 45 | Mechanical Engineering |
| 46 | Medicine |
| 47 | Middle Eastern and African Studies |
| 48 | Modern languages |
| 49 | Music |
| 50 | Nursing |
| 51 | Other Subjects Allied to Medicine |
| 52 | Pharmacology and Pharmacy |
| 53 | Philosophy |
| 54 | Physics and Astronomy |
| 55 | Politics |
| 56 | P.P.E. (Philosophy, Politics and Economics) |
| 57 | Psychology |
| 58 | Russian |
| 59 | Social Policy |
| 60 | Social Work |
| 61 | Sociology |
| 62 | Sports Science |
| 63 | Theology and Religious Studies |
| 64 | Town and Country Planning and Landscape |
| 65 | Veterinary Medicine |
| 96 | None/No second choice |
| 97 | Other/Not found |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if APPSUB1 <> DK | REF (Provided first subject applied for)
- e_appsub2 (e_indresp_ip) APPLIED TO UNIVERSITY, SECOND CHOICE
- e_pappsub2 (e_indresp_ip) APPLIED TO UNIVERSITY, SECOND CHOICE
youngadults_ip5.appsub2o
Applied in other subject, second choice
Type: string
Source: UKHLS
Interviewer Instruction: TYPE IN
Text: What other subject was that?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if APPSUB1 <> DK | REF (Provided first subject applied for)
and if APPSUB2 = 97 (Second subject applied for was 'other')
youngadults_ip5.cursub
Current university subject
Type: choice
Source: UKHLS
Text: What is your current subject area in university?
| Option | Label |
|---|---|
| 1 | Accounting and Finance |
| 2 | Aeronautical and Manufacturing Engineering |
| 3 | Agriculture and Forestry |
| 4 | American Studies |
| 5 | Anatomy and Physiology |
| 6 | Anthropology |
| 7 | Archaeology |
| 8 | Architecture |
| 9 | Art and Design |
| 10 | Biological Sciences |
| 11 | Building |
| 12 | Business Studies |
| 13 | Celtic Studies |
| 14 | Chemical Engineering |
| 15 | Chemistry |
| 16 | Civil Engineering |
| 17 | Classics and Ancient History |
| 18 | Communication and Media Studies |
| 19 | Computer Science |
| 20 | Dentistry |
| 21 | Drama, Dance and Cinematics |
| 22 | East and South Asian Studies |
| 23 | Economics |
| 24 | Education |
| 25 | Electrical and Electronic Engineering |
| 26 | English |
| 27 | Food Science |
| 28 | French |
| 29 | General Engineering |
| 30 | Geography & Environmental Science |
| 31 | Geology |
| 32 | German |
| 33 | History |
| 34 | History of Art, Architecture and Design |
| 35 | Hospitality, Leisure, Recreation & Tourism |
| 36 | Iberian Languages |
| 37 | Italian |
| 38 | Land and Property Management |
| 39 | Law |
| 40 | Librarianship & Information Management |
| 41 | Linguistics |
| 42 | Literature |
| 43 | Materials Technology |
| 44 | Mathematics |
| 45 | Mechanical Engineering |
| 46 | Medicine |
| 47 | Middle Eastern and African Studies |
| 48 | Modern languages |
| 49 | Music |
| 50 | Nursing |
| 51 | Other Subjects Allied to Medicine |
| 52 | Pharmacology and Pharmacy |
| 53 | Philosophy |
| 54 | Physics and Astronomy |
| 55 | Politics |
| 56 | P.P.E. (Philosophy, Politics and Economics) |
| 57 | Psychology |
| 58 | Russian |
| 59 | Social Policy |
| 60 | Social Work |
| 61 | Sociology |
| 62 | Sports Science |
| 63 | Theology and Religious Studies |
| 64 | Town and Country Planning and Landscape |
| 65 | Veterinary Medicine |
| 97 | Other/Not found |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_cursub (e_indresp_ip) CURRENT UNIVERSITY SUBJECT
- e_pcursub (e_indresp_ip) CURRENT UNIVERSITY SUBJECT
youngadults_ip5.cursubo
Other subject studied
Type: string
Source: UKHLS
Interviewer Instruction: TYPE IN
Text: What other subject is that?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if CURSUB = 97 (Studying other subject)
youngadults_ip5.earnemail
Expected Earnings info email requested
Type: number
Source: UKHLS
Text: Based on information on actual earnings from the UK Labour Force Survey, average earnings of 26 to 34 year old men and women working full-time are listed here. The graph shows the average earning for those with a university degree and those without. For those with a degree, it also shows the average earnings depending on the subject area of the degree. You may find this information useful. You may want to save a copy of this, or print it, so that you can review this later. We can also email it to you. If you would like us to email you a copy of this information, please tick the box.
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if (EDUCATIONALASPIRATIONS.EDTYPE = 5 | ODDSQUAL > 0) & ff_wageinfow5 = 1 (Studying at university or greater than no chance of gaining qualifications to get into university and in wage information exprimental treatment group)
and if GRIDVARIABLES.ModeType = 3 (Mode is web)
- e_pearnemail (e_indresp_ip) expected earnings info email requested
- e_earnemail (e_indresp_ip) Expected Earnings info email requested
youngadults_ip5.earninfo
Expected earnings information
Type: choice
Source: UKHLS
Interviewer Instruction: HAND PAGE TO RESPONDENT FOR THEM TO KEEP
Text: Based on information on actual earnings from the UK Labour Force Survey, average earnings of 26 to 34 year old men and women working full-time are listed here. The graph shows the average earning for those with a university degree and those without. For those with a degree, it also shows the average earnings depending on the subject area of the degree. You may find this information useful. You can keep this.
| Option | Label |
|---|---|
| 1 | Continue |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if (EDUCATIONALASPIRATIONS.EDTYPE = 5 | ODDSQUAL > 0) & ff_wageinfow5 = 1 (Studying at university or greater than no chance of gaining qualifications to get into university and in wage information exprimental treatment group)
and if GRIDVARIABLES.ModeType = 1 (Mode is CAPI)
- e_earninfo (e_indresp_ip) EXPECTED EARNINGS INFORMATION
youngadults_ip5.futureint
Future questions intro
Type: choice
Source: UKHLS Youth Self-Completion Questionnaire
Text: The next questions are about what you want to do in the future.
| Option | Label |
|---|---|
| 1 | Continue |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
youngadults_ip5.lvhm
Age you think when you leave home?
Type: number
Source: UKHLS Youth Self-Completion Questionnaire
Interviewer Instruction: WRITE IN AGE
Text: At what age would you like to leave home?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if GRIDVARIABLES.LIVPAR = 1 (Living at home with parent(s))
- e_lvhm (e_indresp_ip) AGE YOU THINK WHEN YOU LEAVE HOME?
youngadults_ip5.oddsapply
Chance of applying to university
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: Suppose you gain the required qualifications to apply to university. How likely is it that you will apply to university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
- e_oddsapply (e_indresp_ip) CHANCE OF APPLYING TO UNIVERSITY
- e_poddsapply (e_indresp_ip) CHANCE OF APPLYING TO UNIVERSITY
youngadults_ip5.oddsemp
Chance of being employed at age 30
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: How likely is that you will be employed at age 30 if you finish your university studies CURSUB not equal to 97in CURSUB?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if CURSUB <> DK | REF (Provided current subject of study)
- e_oddsemp (e_indresp_ip) CHANCE OF BEING EMPLOYED AT AGE OF 30
youngadults_ip5.oddsemp1
Chance of being employed if study first choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: If you finish university studies in UNISUB1 less than 95UNISUB1UNISUB1 = 97your preferred subject, how likely is that you will be employed at age 30?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
- e_oddsemp1 (e_indresp_ip) CHANCE OF BEING EMPLOYED IF STUDY FIRST CHOICE
youngadults_ip5.oddsemp2
Chance of being employed if study first choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: And, if you finish university studies in UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject, how likely is that you will be employed at age 30?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
- e_oddsemp1 (e_indresp_ip) CHANCE OF BEING EMPLOYED IF STUDY FIRST CHOICE
- e_oddsemp2 (e_indresp_ip) CHANCE OF BEING EMPLOYED IF STUDY SECOND CHOICE
youngadults_ip5.oddsemp3
Chance of being employed if do not go to university
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: How likely is that you will be employed at age 30 if you do not go to university at all?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
- e_oddsemp3 (e_indresp_ip) CHANCE OF BEING EMPLOYED IF DO NOT GO TO UNIVERSITY
youngadults_ip5.oddsempu
Chance of being employed
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: If you finish university studies, how likely is that you will be employed at age 30?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if (UNISUB1 = DK | REF | 95) & (UNISUB2 = DK | REF | 95 | 96) (1st and 2nd preferred subject not given)
- e_oddsempu (e_indresp_ip) CHANCE OF BEING EMPLOYED
youngadults_ip5.oddsfini
Chance of finishing university
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: On a scale from 0% to 100% where 0% means 'No chance of happening' and 100% means 'Totally likely to happen', please tell me how likely it is that the following events will happen in your life in the future. How likely is it that you will successfully finish your university studies CURSUB not equal to 97in CURSUB?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_oddsfini (e_indresp_ip) CHANCE OF FINISHING UNIVERSITY
- e_poddsfini (e_indresp_ip) CHANCE OF FINISHING UNIVERSITY
youngadults_ip5.oddsqual
Chance of getting qualifications to enter university
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: And next we have a few more detailed questions about your education plans. On a scale from 0% to 100% where 0% means 'No chance of happening' and 100% means 'Totally likely to happen', please tell me how likely it is that the following events will happen in your life in the future. How likely is it that you will gain the required qualifications to get into university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
- e_oddsqual (e_indresp_ip) CHANCE OF GETTING QUALIFICATIONS TO ENTER UNIVERSITY
- e_poddsqual (e_indresp_ip) CHANCE OF GETTING QUALIFICATIONS TO ENTER UNIVERSITY
youngadults_ip5.oddsschol
Chance of applying to Uni if scholarship
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER F9 FOR HELP
Text: Suppose you gain the required qualifications to apply to university. How likely is it that you will apply to university if all costs (tuitions, books, boarding, etc) were paid out of a scholarship, grant, bursary or fee reduction scheme?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
- e_oddsschol (e_indresp_ip) CHANCE OF APPLYING TO UNI IF SCHOLARSHIP
- e_poddsschol (e_indresp_ip) CHANCE OF APPLYING TO UNI IF SCHOLARSHIP
youngadults_ip5.studyhrs
Hours spent studying
Type: number
Source: UKHLS
Interviewer Instruction: ENTER HOURS
Text: Excluding time spent in lectures or required lab sessions, how many hours per week do you usually study?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_studyhrs (e_indresp_ip) HOURS SPENT STYDYING
- e_pstudyhrs (e_indresp_ip) HOURS SPENT STUDYING
youngadults_ip5.studyhrs1
Hours expect to study subject, first choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: If you get a place at university studying UNISUB1 less than 95UNISUB1UNISUB1 = 97your preferred subject, excluding time spent in lectures or required lab sessions, how many hours per week would you expect to study?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
- e_studyhrs1 (e_indresp_ip) HOURS EXPECT TO STUDY SUBJECT, FIRST CHOICE
- e_pstudyhrs1 (e_indresp_ip) HOURS EXPECT TO STUDY SUBJECT, FIRST CHOICE
- e_pstudyhrs2 (e_indresp_ip) HOURS EXPECT TO STUDY SUBJECT, FIRST CHOICE
youngadults_ip5.studyhrs2
Hours expect to study subject, second choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: And, if you get a place in a university studying UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject, excluding time spent in lectures or required lab sessions, how many hours per week would you expect to study?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
- e_studyhrs2 (e_indresp_ip) HOURS EXPECT TO STUDY SUBJECT, SECOND CHOICE
youngadults_ip5.totborrow
Amount borrowed for university
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT, IF DOES NOT EXPECT TO BORROW ANYTHING, ENTER 0
Text: How much do you expect to borrow in total in student loans to cover all your years at university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_totborrow (e_indresp_ip) EXPECTED LOANS FOR UNIVERSITY
youngadults_ip5.tuition
Amount pays in tuition
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: Excluding any scholarship, grant, bursary or fee reduction scheme that you may receive, how much do you currently pay as yearly tuition to go to university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_tuition (e_indresp_ip) AMOUNT BORROWED FOR UNIVERSITY
- e_ptuition (e_indresp_ip) AMOUNT PAYS IN TUITION
youngadults_ip5.unifin1
Likelihood of finishing studies, first choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: Suppose you gain the required qualifications to apply to university, apply, and get a place. How likely is it that you will finish your studies in UNISUB1 less than 95UNISUB1UNISUB1 = 97your preferred subject?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
- e_unifin1 (e_indresp_ip) LIKELIHOOD OF FINISHING STUDIES, FIRST CHOICE
- e_punifin1 (e_indresp_ip) LIKELIHOOD OF FINISHING STUDIES, FIRST CHOICE
- e_punifin2 (e_indresp_ip) LIKELIHOOD OF FINISHING STUDIES, FIRST CHOICE
youngadults_ip5.unifin2
Likelihood of finishing studies, second choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER
Text: Suppose you gain the required qualifications to apply to university, apply, and get a place. How likely is it that you will finish your studies in UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
- e_unifin2 (e_indresp_ip) LIKELIHOOD OF FINISHING STUDIES, SECOND CHOICE
youngadults_ip5.unisub1
Most preferred subject at university
Type: choice
Source: UKHLS
Text: If you were to go to university, which subject would be your first choice to study?
| Option | Label |
|---|---|
| 1 | Accounting and Finance |
| 2 | Aeronautical and Manufacturing Engineering |
| 3 | Agriculture and Forestry |
| 4 | American Studies |
| 5 | Anatomy and Physiology |
| 6 | Anthropology |
| 7 | Archaeology |
| 8 | Architecture |
| 9 | Art and Design |
| 10 | Biological Sciences |
| 11 | Building |
| 12 | Business Studies |
| 13 | Celtic Studies |
| 14 | Chemical Engineering |
| 15 | Chemistry |
| 16 | Civil Engineering |
| 17 | Classics and Ancient History |
| 18 | Communication and Media Studies |
| 19 | Computer Science |
| 20 | Dentistry |
| 21 | Drama, Dance and Cinematics |
| 22 | East and South Asian Studies |
| 23 | Economics |
| 24 | Education |
| 25 | Electrical and Electronic Engineering |
| 26 | English |
| 27 | Food Science |
| 28 | French |
| 29 | General Engineering |
| 30 | Geography & Environmental Science |
| 31 | Geology |
| 32 | German |
| 33 | History |
| 34 | History of Art, Architecture and Design |
| 35 | Hospitality, Leisure, Recreation & Tourism |
| 36 | Iberian Languages |
| 37 | Italian |
| 38 | Land and Property Management |
| 39 | Law |
| 40 | Librarianship & Information Management |
| 41 | Linguistics |
| 42 | Literature |
| 43 | Materials Technology |
| 44 | Mathematics |
| 45 | Mechanical Engineering |
| 46 | Medicine |
| 47 | Middle Eastern and African Studies |
| 48 | Modern languages |
| 49 | Music |
| 50 | Nursing |
| 51 | Other Subjects Allied to Medicine |
| 52 | Pharmacology and Pharmacy |
| 53 | Philosophy |
| 54 | Physics and Astronomy |
| 55 | Politics |
| 56 | P.P.E. (Philosophy, Politics and Economics) |
| 57 | Psychology |
| 58 | Russian |
| 59 | Social Policy |
| 60 | Social Work |
| 61 | Sociology |
| 62 | Sports Science |
| 63 | Theology and Religious Studies |
| 64 | Town and Country Planning and Landscape |
| 65 | Veterinary Medicine |
| 95 | Haven't decided |
| 97 | Other/Not found |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
- e_unisub1 (e_indresp_ip) MOST PREFERRED SUBJECT AT UNIVERSITY
- e_punisub1 (e_indresp_ip) MOST PREFERRED SUBJECT AT UNIVERSITY
youngadults_ip5.unisub2
Second preferred subject at university
Type: choice
Source: UKHLS
Text: If you were to go to university, which subject would be your second choice to study?
| Option | Label |
|---|---|
| 1 | Accounting and Finance |
| 2 | Aeronautical and Manufacturing Engineering |
| 3 | Agriculture and Forestry |
| 4 | American Studies |
| 5 | Anatomy and Physiology |
| 6 | Anthropology |
| 7 | Archaeology |
| 8 | Architecture |
| 9 | Art and Design |
| 10 | Biological Sciences |
| 11 | Building |
| 12 | Business Studies |
| 13 | Celtic Studies |
| 14 | Chemical Engineering |
| 15 | Chemistry |
| 16 | Civil Engineering |
| 17 | Classics and Ancient History |
| 18 | Communication and Media Studies |
| 19 | Computer Science |
| 20 | Dentistry |
| 21 | Drama, Dance and Cinematics |
| 22 | East and South Asian Studies |
| 23 | Economics |
| 24 | Education |
| 25 | Electrical and Electronic Engineering |
| 26 | English |
| 27 | Food Science |
| 28 | French |
| 29 | General Engineering |
| 30 | Geography & Environmental Science |
| 31 | Geology |
| 32 | German |
| 33 | History |
| 34 | History of Art, Architecture and Design |
| 35 | Hospitality, Leisure, Recreation & Tourism |
| 36 | Iberian Languages |
| 37 | Italian |
| 38 | Land and Property Management |
| 39 | Law |
| 40 | Librarianship & Information Management |
| 41 | Linguistics |
| 42 | Literature |
| 43 | Materials Technology |
| 44 | Mathematics |
| 45 | Mechanical Engineering |
| 46 | Medicine |
| 47 | Middle Eastern and African Studies |
| 48 | Modern languages |
| 49 | Music |
| 50 | Nursing |
| 51 | Other Subjects Allied to Medicine |
| 52 | Pharmacology and Pharmacy |
| 53 | Philosophy |
| 54 | Physics and Astronomy |
| 55 | Politics |
| 56 | P.P.E. (Philosophy, Politics and Economics) |
| 57 | Psychology |
| 58 | Russian |
| 59 | Social Policy |
| 60 | Social Work |
| 61 | Sociology |
| 62 | Sports Science |
| 63 | Theology and Religious Studies |
| 64 | Town and Country Planning and Landscape |
| 65 | Veterinary Medicine |
| 95 | Haven't decided |
| 96 | None/No second choice |
| 97 | Other/Not found |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
- e_unisub2 (e_indresp_ip) SECOND PREFERRED SUBJECT AT UNIVERSITY
- e_punisub2 (e_indresp_ip) SECOND PREFERRED SUBJECT AT UNIVERSITY
youngadults_ip5.unisub2o
Other subject at university, second choice
Type: string
Source: UKHLS
Interviewer Instruction: TYPE IN
Text: What other subject is that?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB2 = 97 (Second preferred subject at university is other)
youngadults_ip5.xpborrow
Expected loans for university
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER, IF DOES NOT EXPECT TO BORROW ANYTHING, ENTER 0.
Text: How much do you expect to borrow in total in student loans if you go to university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
- e_xpborrow (e_indresp_ip) EXPECTED LOANS FOR UNIVERSITY
youngadults_ip5.xpearn
Expected earnings
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old, if you have a university degree CURSUB not equal to 97in CURSUB, how much do you think you could earn per year on average at the age of 30?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_xpearn (e_indresp_ip) EXPECTED EARNINGS
youngadults_ip5.xpearn1
Expected earnings if study first choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old, if you had a university degree in UNISUB1 not equal to 97UNISUB1UNISUB1 = 97your preferred subject, how much do you think you could earn per year on average at the age of 30?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
- e_xpearn1 (e_indresp_ip) EXPECTED EARNINGS IF STUDY FIRST CHOICE
youngadults_ip5.xpearn1dk
Expected earnings first choice, bracketed
Type: choice
Source: UKHLS
Text: Which of these do you think might fairly represent your yearly earnings at age 30 if you have a university degree in UNISUB1 less than 95UNISUB1UNISUB1 = 97your preferred subject?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
and if XPEARN1 = DK (Expected earnings in first choice subject area not known)
- e_xpearn1dk (e_indresp_ip) EXPECTED EARNINGS FIRST CHOICE, BRACKETED
youngadults_ip5.xpearn2
Expected earnings if study second choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: (Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old...) How much do you think you could earn per year on average at the age of 30 if you have a university degree in UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
- e_xpearn2 (e_indresp_ip) EXPECTED EARNINGS IF STUDY SECOND CHOICE
youngadults_ip5.xpearn2dk
Expected earnings second choice, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think might fairly represent your yearly earnings at age 30 if you have a university degree in UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
and if XPEARN2 = DK (Expected earnings in second choice subject area not known)
- e_xpearn2dk (e_indresp_ip) EXPECTED EARNINGS, SECOND CHOICE, BRACKETS
youngadults_ip5.xpearn3
Expected earnings without a university degree
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: ODDSQUAL = 0Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old, how much do you think you could earn per year on average at the age of 30 if you do not have a university degree?ODDSQUAL greater than 0Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old. How much do you think you could earn per year on average at the age of 30 if you do not have a university degree?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
- e_xpearn3 (e_indresp_ip) EXPECTED EARNINGS WITHOUT A UNIVERSITY DEGREE
youngadults_ip5.xpearndk
Expected earnings, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think might fairly represent your yearly earnings at age 30 if you has a university degree CURSUB not equal to 97in CURSUB?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if XPEARN = DK (Expected earnings with degree not known)
- e_xpearndk (e_indresp_ip) EXPECTED EARNINGS, BRACKETS
youngadults_ip5.xpearng
Expected earnings of same gender
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: What is the average amount that you believe all 30 year old SEX = 1menSEX = 2women currently earn per year if they have a university degree in CURSUB not equal to 97CURSUBCURSUB = 97your field of study?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if CURSUB <> DK | REF (Provided current subject of study)
- e_xpearng (e_indresp_ip) EXPECTED EARNINGS OF SAME GENDER
youngadults_ip5.xpearng1
Expected earnings of same gender, first choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: Think about all current 30 year old SEX = 2womenSEX = 1men who are working full time. What is the average amount that you believe these workers currently earn per year if they have a university degree in UNISUB1 less than 95UNISUB1UNISUB1 = 97your preferred subject?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
- e_xpearng1 (e_indresp_ip) EXPECTED EARNINGS OF SAME GENDER, FIRST CHOICE
youngadults_ip5.xpearng1dk
Expected earnings, same gender, first choice, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think fairly represents the annual earnings of a 30 year old SEX = 2womanSEX = 1man with a university degree in UNISUB1 less than 95UNISUB1UNISUB1 = 97your preferred subject?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB1 <> DK | REF | 95 (First preferred subject given)
and if XPEARNG1 = DK (Expected earnings in first choice subject area not known)
- e_xpearng1dk (e_indresp_ip) EXPECTED EARNINGS, SAME GENDER, FIRST CHOICE, BRACKETS
youngadults_ip5.xpearng2
Expected earnings of same gender, second choice
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: What is the average amount that you believe all 30 year old SEX = 2womenSEX = 1men currently earn per year if they have a university degree in UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
- e_xpearng2 (e_indresp_ip) EXPECTED EARNINGS OF SAME GENDER, SECOND CHOICE
youngadults_ip5.xpearng2dk
Expected earnings, same gender, second choice, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think fairly represents the annual earnings of a 30 year old SEX = 2womanSEX = 1man with a university degree in UNISUB2 less than 95UNISUB2UNISUB2 = 97your second preferred subject?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if UNISUB2 <> DK | REF | 95 | 96 (Second preferred subject given)
and if XPEARNG2 = DK (Expected earnings in first choice subject area not known)
- e_xpearng2dk (e_indresp_ip) EXPECTED EARNINGS, SAME GENDER, SECOND CHOICE, BRACKETS
youngadults_ip5.xpearng3
Expected earnings of same gender, no degree
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: What is the average amount that you believe all 30 year old SEX = 2womenSEX = 1men currently earn per year if they do not have a university degree?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
- e_xpearng3 (e_indresp_ip) EXPECTED EARNINGS OF SAME GENDER, NO DEGREE
youngadults_ip5.xpearng3dk
Expected earnings, same gender, no degree, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think fairly represents the annual earnings of a 30 year old SEX = 2womanSEX = 1man without a university degree?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if XPEARNG3 = DK (Expected earnings without a university degree not known)
- e_xpearng3dk (e_indresp_ip) EXPECTED EARNINGS, SAME GENDER, NO DEGREE, BRACKETS
youngadults_ip5.xpearngdk
Expected earnings, same gender, brackets
Type: choice
Source: UKHLS
Text: Which if these do you think fairly represents the annual earnings of a 30 year old SEX = 1manSEX = 2woman with a university degree in CURSUB not equal to 97CURSUBCURSUB = 97your field of study?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if CURSUB <> DK | REF (Provided current subject of study)
and if XPEARNG = DK (Expected earnings with degree, same gender not known)
- e_xpearngdk (e_indresp_ip) EXPECTED EARNINGS, SAME GENDER, BRACKETS
youngadults_ip5.xpearngnd
Expected earnings of same gender, no degree
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: What is the average amount that you believe all 30 year old SEX = 1menSEX = 2women currently earn per year if they do not have a university degree?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_xpearngnd (e_indresp_ip) EXPECTED EARNINGS, SAME GENDER NO DEGREE
youngadults_ip5.xpearngnddk
Expected earnings same gender, no degree, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think fairly represents the annual earnings of a 30 year old SEX = 1manSEX = 2woman without a university degree?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if XPEARNGND = DK (Expected earnings without degree, same gender not known)
- e_xpearngnddk (e_indresp_ip) EXPECTED EARNINGS, SAME GENDER, NO DEGREE, BRACKETS
youngadults_ip5.xpearnnd
Expected earnings without a university degree
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: (Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old...) how much do you think you could earn per year on average at the age of 30 if you had not gone to university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
- e_xpearnnd (e_indresp_ip) EXPECTED EARNINGS WITHOUT A UNIVERSITY DEGREE
youngadults_ip5.xpearnnddk
Expected earnings, no degree, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think might fairly represent your yearly earnings at age 30 if you had not gone to university?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 5 (Studying at university)
and if XPEARNND = DK (Expected earnings without a degree not known)
- e_xpearnnddk (e_indresp_ip) EXPECTED EARNINGS, NO DEGREE, BRACKETS
youngadults_ip5.xpearnu
Expected earnings if study
Type: number
Source: UKHLS
Interviewer Instruction: ENTER AMOUNT
Text: Look ahead to when you will be 30 years old and suppose that you are working then. Think about the kinds of jobs that will be available to you. Assuming that one pound today is worth the same as one pound when you are 30 years old, if you had a university degree, how much do you think you could earn per year on average at the age of 30?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if (UNISUB1 = DK | REF | 95) & (UNISUB2 = DK | REF | 95 | 96) (1st and 2nd preferred subject not given)
- e_xpearnu (e_indresp_ip) EXPECTED EARNINGS IF STUDY
youngadults_ip5.xpearnudk
Expected earnings
Type: choice
Source: UKHLS
Text: Which of these do you think might fairly represent your yearly earnings at age 30 if you have a university degree?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if (UNISUB1 = DK | REF | 95) & (UNISUB2 = DK | REF | 95 | 96) (1st and 2nd preferred subject not given)
and if XPEARNU = DK (expected earnings with degree not known)
- e_xpearnudk (e_indresp_ip) EXPECTED EARNINGS
youngadults_ip5.xptuition
Expected tuition
Type: number
Source: UKHLS
Interviewer Instruction: ENTER NUMBER F9 FOR HELP
Text: Excluding any scholarship, grant, bursary or fee reduction scheme that you might receive, how much do you expect to pay as yearly tuition if you go to university?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
- e_xptuition (e_indresp_ip) EXPECTED TUITION
youngadults_ip5.yafuta
Future plans
Type: text
Source: BHPS
Interviewer Instruction: WRITE IN VERBATIM
Text: Thinking of your own future, what would you like to be doing with your life in about ten year's time from now?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
- e_yafuta (e_indresp_ip) YAFUTA
youngadults_ip5.yasoc00
Office code (SOC2000): job like when left
Type: string
Source: UKHLS Youth Self-Completion Questionnaire
Interviewer Instruction: WRITE IN JOB TITLE AND DESCRIBE FULLY THE SORT OF WORK
Text: What job would you like to do once you leave school, finish your training or finish full-time education?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if DEMOGRAPHICS.JBSTAT = 7 (Full-time student)
- e_yasoc00 (e_indresp_ip) young adult: job like: SOC 2000
youngadults_ip5.ypapar
Age want to start family
Type: number
Source: BHPS
Interviewer Instruction: IF DOES NOT WANT TO HAVE CHILDREN, ENTER 0.
Text: At what age would you like to start a family?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if GRIDVARIABLES.NCHUNDER16 = 0 (Not the parent of a child under 16)
- e_ypapar (e_indresp_ip) AGE WANT TO START FAMILY
- e_ypapar (e_youth_ip) At what age do you want to start a family?
youngadults_ip5.unisub1o
Other subject at university, first choice
Type: string
Source: UKHLS
Interviewer Instruction: TYPE IN
Text: What other subject is that?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if ODDSQUAL > 0 (Greater than no chance of gaining qualifications to get into university)
and if UNISUB1 = 97 (First preferred subject at university is other)
youngadults_ip5.xpearn3dk
Expected earnings without degree, brackets
Type: choice
Source: UKHLS
Text: Which of these do you think might fairly represent your yearly earnings at age 30 if you do not have a university degree?
| Option | Label |
|---|---|
| 1 | Less than £ 10,000 per year |
| 2 | £ 10,000 to £ 14,999 per year |
| 3 | £ 15,000 to £ 19,999 per year |
| 4 | £ 20,000 to £ 24,999 per year |
| 5 | £ 25,000 to £ 29,999 per year |
| 6 | £ 30,000 to £ 34,999 per year |
| 7 | £ 35,000 to £ 39,999 per year |
| 8 | £ 40,000 to £ 44,999 per year |
| 9 | £ 45,000 to £ 49,999 per year |
| 10 | £ 50,000 to £ 54,999 per year |
| 11 | More than £ 55,000 per year |
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if EDUCATIONALASPIRATIONS.EDTYPE = 1 | 2 | (3 & HHGRID.DVAGE >= 16 & <= 19) (Studying at school, college or FE college)
and if XPEARN3 = DK (Expected earnings without a university degree not known)
- e_xpearn3dk (e_indresp_ip) EXPECTED EARNINGS WITHOUT DEGREE, BRACKETS
youngadults_ip5.ypamar
Age want to get married
Type: number
Source: BHPS
Interviewer Instruction: IF DOES NOT WANT TO GET MARRIED, ENTER 0.
Text: At what age do you want to get married?
Universe:
if HHGRID.DVAge > 15 & HHGRID.DVAge < 22 (aged 16 - 21)
and if HHGRID.MARSTAT = 1 (Single and never married or never in a legally recognised Civil Partnership)
- e_ypamar (e_indresp_ip) AGE WANT TO GET MARRIED
- e_ypamar (e_youth_ip) At what age do you want to get married?



