Opinions and Lifestyle Survey General Lifestyle Modules,...

Opinions and Lifestyle Survey

General Lifestyle Modules, 2012

From 2012 the General Lifestyle Survey (GLF) modules ceased running as part of the Integrated Household Survey (IHS). Some of the questions from the Drinking, Smoking, Health, Medical Services and Family Information and Fertility modules moved onto the Opinions Survey, and as a result the Opinions and Lifestyle Survey (OPN) was created. More details can be found on the ONS website: http://www.ons.gov.uk/ons/about‐ons/get‐involved/consultations/archived‐consultations/2011/the‐future‐of‐the‐glf‐survey/index.html The main difference between the OPN and IHS/GLF is that the OPN samples one adult from each selected household, whereas the IHS/GLF questions were asked of all household members. The OPN offers a self completion option to respondents for a number of potentially sensitive sections/modules. For example those aged 16 and 17 are given the option of completing the Smoking module themselves. 1) The Opinions and Lifestyle Survey questionnaire The 2012 questionnaire for the classificatory and General Lifestyle variables is available as part of the supporting documentation for this dataset. All interviews were conducted face‐to‐face using Computer Assisted Personal Interviewing. Respondents are asked the classificatory questions first followed by the General Lifestyle modules in the following order:

1. Smoking 2. Family Information and Fertility 3. Drinking 4. General Health 5. Use of Medical Services

2) Weights A number of weights have been provided with the dataset. The weights take into account a number of factors. The first stage of the weighting weights for the likelihood that an individual within a household is selected to take part in the survey. The weights are then grossed up to population totals by region, grouped age and sex. Weight12 should be used when looking at the dataset as a whole (data by year). Weight12_Qtr should be used when observing the dataset in quarters. Weight12_Mon should be used when observing the dataset in months.

UK Data Archive Study Number 8092 - Opinions and Lifestyle Survey, General Lifestyle Module, 2012, 2014 and 2014: Secure Access

3. Missing Values Generally, there are two missing values for each variable. These are ‐8 (for questions where the respondent either did not know the answer to a question, or refused to answer it) and ‐9 (where the respondent was not asked a question – usually as a result of being routed past the question). Some variables have additional missing values. Missing values are denoted with negative numbers. None of the values on the dataset have been declared as missing. Consideration needs to be given as to whether missing values need to be declared before any analysis is undertaken. 4. Derived Variables Some of the variables in the dataset have been derived using the collected variables. Derived variable (DV) names have been prefixed depending on the subject: CL_ Class DVs SK_ Smoking DVs DR_ Drinking DVs HE_ Health DVs MS_ Medical services DVs FF_ Family information and fertility DVs 5. Specifications for derived variables The DV specs are available as part of the supporting documentation for the dataset. These include the variable name, subject and value labels, as well as the SPSS syntax used to derive the variable. 6. Some words of warning If you are using SPSS‐NT, then it is very easy to save amended versions of SPSS files when you don’t want to. When you try to quit SPSS, the dialogue box asks if you want to save the file. The intuitive reaction is to click on ‘yes’, but you should only do this if you want to save any amendments you have made. If you have used a ‘keep’ or ‘select’ statement, clicking ‘yes’ will save only the cases or variables you have selected. We recommend that you keep the CDROM or original file safe, just in case you inadvertently change the data files. Both data files are large, and it takes time to run frequencies and tabulations on the full files. We recommend that you use a ‘keep’ statement to select relevant variables. ONS Social Survey Division is currently using version 12.0.1 of SPSS. You may find you have problems with missing values when trying to create derived variables. The solution we have used is to declare no missing values, then create the new variables, then declare missing values.

Opinions and Lifestyle Survey

2012 Questionnaire

Core and Classificatory

Questions

Block: QPart

ASK HRP:

HHTypB Code type of household Code one only This should be based on the circumstances of the household reference person. Dependent children are those aged under 16 or aged 16-18 never married and still in non advanced further education and not a foster child living in the household.

(1) One person only (2) HRP is married/cohabiting/in a civil partnership and has own/partner's dependent child(ren) in household (3) HRP is married/cohabiting/in a civil partnership and does not have own/ partner's dependent child(ren) in household (4) HRP is lone parent not cohabiting and has own dependent child(ren) in household (5) HRP is lone parent not cohabiting and has only non-dependent child(ren) in household (6) All others

ASK HRP:

HHTypA This variable is derived in Blaise using the household grid.

Household type A.

(1) 1 adult aged 16 to 64 (2) 1 adult aged 65+ (3) 2 adults aged 16-64 (4) 2 adults, one at least 65+ (5) 3 adults all ages (6) 1 or 2 children (7) 3 or more children

Block: QTenure

ASK HRP:

Ten1 Ten1_summary

(1) Own it outright (2) Buying it with the help of a mortgage or loan (3) Pay part rent and part mortgage (shared ownership) (4) Rent it (5) Live here rent-free (including rent-free in relative's/ friend's property; excluding squatting) (6) Squatting

ASK HRP IF: ((Ten1 = 4) OR (Ten1 = 5))

Tied Tied_summary

(1) Yes (2) No


LLord LLord_summary

(1) the local authority/council/Scottish Homes? (2) a housing association, charitable trust or Local Housing Company? (3) employer (organisation) of a household member? (4) another organisation? (5) relative/friend (before you lived here) of a household member? (6) employer (individual) of a household member? (7) another individual private landlord?


Furn Furn_summary

(1) furnished, (2) partly furnished (e.g. carpets and curtains only), (3) or unfurnished?

Block: QCNTRYBRTH

ASK ALL:

CntyBrn And in which country were you born?

(356) India (372) Republic of Ireland (586) Pakistan (616) Poland (921) England (922) Northern Ireland (923) Scotland (924) Wales (926) UK (997) Other

ASK IF: (Cry01 = 997)

CrySpec Type in country

STRING[40]

ASK IF: (Cry01 = 997)

CryO This field does a lookup on the string in CrySpec and matches it to the country coding frame (the country coding frame available as part of the supporting documentation for this dataset)

STRING[40]

ASK IF: ((Cry01 = 356) OR (Cry01 = 372) OR (Cry01 = 586) OR (Cry01 = 616) OR (Cry01 = 997))

CameYr Which year did you first arrive in the UK? If arrived in this country before 1900, enter 1900. Enter in 4 digit format e.g.: 2000

1900..2100

ASK IF: ((Cry01 = 356) OR (Cry01 = 372) OR (Cry01 = 586) OR (Cry01 = 616) OR (Cry01 = 997))

CONTUK Apart from holidays and short visits abroad have you lived in the UK continuously since then?

(1) Yes (2) No

ASK IF: (ContUK = 2)

CameY2 Which year did you last arrive in the UK? If arrived in this country before 1900, enter 1900. Enter in 4 digit format e.g.:2000

1900..2100

ASK IF: ((CameYr > (Year of interview date - 2)) OR (CameY2 > (Year of interview date – 2)))

CameMt In which month did you (last) arrive in the UK?

(1) January (2) February (3) March (4) April (5) May (6) June (7) July (8) August (9) September (10) October (11) November (12) December

Block: QNation

ASK IF: ((GOR = 1) OR (GOR = 2) OR (GOR = 3) OR (GOR = 4) OR (GOR = 5) OR (GOR = 6) OR (GOR = 7) OR (GOR = 8) OR (GOR = 9))

NatldE What do you consider your national identity to be? Note that NatIdE, NatIdS and NatIdW

are recoded to NatId for presentation in the dataset

SET [6] OF (1) English (2) Welsh (3) Scottish (4) Northern Irish (5) British (6) Other? (please describe)

ASK IF: (GOR = 11)

NatldS What do you consider your national identity to be? Note that NatIdE, NatIdS and NatIdW


SET [6] OF (1) Scottish (2) English (3) Welsh (4) Northern Irish (5) British (6) Other? (please describe)

ASK IF: (GOR = 10)

NatldW What do you consider your national identity to be? Note that NatIdE, NatIdS and NatIdW


SET [6] OF (1) Welsh (2) English (3) Scottish (4) Northern Irish (5) British (6) Other? (please describe)

ASK IF: ((6 IN NatldE) OR (6 IN NatldW) OR (6 IN NatldS))

NatIdSpec How would you describe your national identity?

STRING[60]

ASK IF: ((6 IN NatldE) OR 6 IN NatldW) OR (6 IN NatldS))

Natldo This field does a lookup of the string in NatIdSpec and matches it against the nationality coding frame (the nationality coding frame is available as part of the supporting documentation for this dataset).

1..999

Block: QEthnic


EthE What is your ethnic group? Choose one option that best describes your ethnic group or background.

(1) English / Welsh / Scottish / Northern Irish / British (2) Irish (3) Gypsy or Irish Traveller (4) Any Other White background (5) White and Black Caribbean (6) White and Black African (7) White and Asian (8) Any other Mixed / multiple ethnic background (9) Indian (10) Pakistani (11) Bangladeshi (12) Chinese (13) Any other Asian background (14) African (15) Caribbean (16) Any other Black / African / Caribbean background (17) Arab (18) Any other ethnic group

ASK IF: (GOR = 10)

EthW What is your ethnic group? Choose one option that best describes your ethnic group or background.

(1) Welsh / English / Scottish / Northern Irish / British (2) Irish (3) Gypsy or Irish Traveller (4) Any Other White background (5) White and Black Caribbean (6) White and Black African (7) White and Asian (8) Any other Mixed / multiple ethnic background (9) Indian (10) Pakistani (11) Bangladeshi (12) Chinese (13) Any other Asian background (14) African (15) Caribbean (16) Any other Black / African / Caribbean background (17) Arab (18) Any other ethnic group

ASK IF: (GOR = 11)

EthS What is your ethnic group? Choose one option that best describes your ethnic group or background.

(1) Scottish / English / Welsh / Northern Irish / British (2) Irish (3) Gypsy or Irish Traveller (4) Any Other White background (5) White and Black Caribbean (6) White and Black African (7) White and Asian (8) Any other Mixed / multiple ethnic background (9) Indian (10) Pakistani (11) Bangladeshi (12) Chinese (13) Any other Asian background (14) African (15) Caribbean (16) Any other Black / African / Caribbean background (17) Arab (18) Any other ethnic group

Block: QRelig

Note that in the dataset, ReligE, ReligW and ReligS have been combined into one variable - Religion


ReligE What is your religion?

(1) No religion (2) Christian (including Church of England, Catholic, Protestant and all other Christian denominations) (3) Buddhist (4) Hindu (5) Jewish (6) Muslim (7) Sikh (8) Any other religion?

ASK IF: (GOR = 11)

ReligS What is your religion?

(1) No religion (2) Church of Scotland (3) Roman Catholic (4) Other Christian denominations (5) Buddhist (6) Hindu (7) Jewish (8) Muslim (9) Sikh (10) Any other religion?

ASK IF: (GOR = 10)

ReligW What is your religion?

(1) No religion (2) Christian (all denominations) (3) Buddhist (4) Hindu (5) Jewish (6) Muslim (7) Sikh (8) Any other religion?

Block: QCORHlth

ASK ALL:

QHealth How is your health in general; would you say it is…

(1) very good, (2) good, (3) fair, (4) bad (5) or very bad?

ASK ALL:

LSIll Do you have any long-standing illness, disability or infirmity? By long-standing I mean anything that has troubled you over a period of time or that is likely to affect you over a period of time.

(1) Yes (2) No

ASK IF: (LSIll = 1)

IllLim Does this illness or disability (Do any of these illnesses or disabilities) limit your activities in any way?

(1) Yes (2) No

Block: QSmoking

ASK IF: Age > 17

SmokEver Have you ever smoked a cigarette, a cigar or a pipe?

(1) Yes (2) No

ASK IF: Age > 17 AND: SmokEver = 1

CigNow And do you smoke cigarettes at all nowadays?

(1) Yes (2) No

ASK IF: Age > 17 AND: (SmokEver = 1) AND (CigNow = 2)

CigEver Have you ever smoked cigarettes regularly?

(1) Yes (2) No

Block: QSrcInc

ASK ALL:

Intro The next set of questions are about income.

(1) Press <1> to continue

ASK ALL:

SrcInc08 Can you please tell me which kinds of income you personally receive.

SET [14] OF (1) Earnings from employment (2) Earnings from self-employment (3) Pension from former employer (4) Personal Pension (5) State Pension (6) Child benefit (7) Income Support (8) Tax Credits (9) Other state benefits (10) Interest from savings (11) Interest from investments (12) Other kinds of regular allowance from outside the household (13) Income from rent (14) Other sources (15) No source of income

Block: QIncome2

ASK IF: ((1 IN SrcInc08) OR (2 IN SrcInc08) OR (3 IN SrcInc08) OR (4 IN SrcInc08) OR (5 IN SrcInc08) OR (6 IN SrcInc08) OR (7 IN SrcInc08) OR (8 IN SrcInc08) OR (9 IN SrcInc08) OR (10 IN SrcInc08) OR (11 IN SrcInc08) OR (12 IN SrcInc08) OR (13 IN SrcInc08) OR (14 IN SrcInc08))

GrossTel Thinking of the sources you have mentioned, what is your total personal income before deductions for income tax, National Insurance etc, (that can be a weekly, monthly or annual amount)?

An estimate is acceptable.

0..99999997

ASK IF: ((GrossTel = RESPONSE) AND (GrossTel <= 99999997))

GrssTime Is that a weekly, monthly or annual amount?

(1) Weekly (2) Monthly (3) Annually

ASK IF: ((GrossTel = REFUSAL) OR (GrossTel = DONTKNOW) OR (GrssTime = REFUSAL) OR (GrssTime = DONTKNOW))

TelBand We put answers into income bands. Could you tell me which band represents your total personal income before deductions. Is it…..

(1) ..Less than £100 a week, (2) ..£100 but less than £200 a week, (3) ..£200 but less than £300 a week, (4) ..£300 but less than £400 a week, (5) ..£400 but less than £500 a week, (6) ..£500 but less than £600 a week, (7) ..£600 but less than £700 a week, (8) ..£700 but less than £800 a week, (9) ..£800 but less than £900 a week, (10) ..£900 but less than £1000 a week, (11) .. or Over £1000 a week?

Block: QWrkSchm

ASK IF: (Age < 65)

Schm12 Last week, that is in the seven days ending Sunday the [date defaults to most recent Sunday], were you on any kind of the following schemes?

(1) Work Club or Enterprise Club, (2) New Enterprise Allowance, (3) Work Experience, (4) Work Trial, (5) Work Programme, (6) Training for Success, (7) Steps to Work, (8) Training for Work, (9) Get Ready for Work, (50) Any other training scheme, (66) or none of these? (97) Just 16 and non-response this time

ASK IF: ((Schm12 = RESPONSE) AND (Schm12 <> 66) AND (Schm12 <> 97))

TypSch12 In the week ending Sunday the [date defaults to most recent Sunday], on that government scheme were you mainly…

(1) working for an employer, (2) temporarily away from an employer, (3) working for a voluntary organisation/charity, (4) undertaking some other form of voluntary or community work, (5) working for an environmental or task force, (6) in full-time or part-time study, (7) temporarily away from full-time or part-time study, (8) receiving help setting up as self-employed, (9) on a project providing work experience or practical training, (10) undertaking some other form of employment training, (11) or some other situation not listed? (97) Don't know

ASK IF: DMHSIZE >= 1 AND: LDMADULTAGE[QHHSORT.NewPer] = a AND: ((((((TypSch12 = OthVol) OR (TypSch12 = Stud)) OR (TypSch12 = TempS)) OR (TypSch12 = WorkE)) OR (TypSch12 = EmpT)) OR (TypSch12 = Oth)) OR (TypSch12 = NDDK)

WrknSchm In the week ending Sunday the [date defaults to the most recent Sunday] did you do any paid work or have any other paid job or business in addition to the government scheme you have just told me about?

(1) Yes (2) No

ASK ALL:

Wrking Did you do any paid work in the seven days ending Sunday the [date defaults to the most recent Sunday] either as an employee or self-employed?

(1) Yes (2) No

ASK IF: (Wrking = 2)

JbAway Even though you were not doing paid work, did you have a job or business that were away from in the week ending Sunday the [date defaults to most recent Sunday]?

(1) Yes (2) No (3) Waiting to take up a new job/business already obtained

ASK IF: ((JbAway = 2) OR (JbAway = 3))

OwnBus Did you do any unpaid work in that week for any business that you own?

(1) Yes (2) No

ASK IF: (OwnBus = 2)

RelBus …or any unpaid work for a business that a relative owns?

(1) Yes (2) No

ASK IF: ((RelBus = 2) OR (WrknSchm = 2))

EverWk Have you ever had paid work, apart from casual or holiday work (or the job that you are waiting to begin)? Please include self-employment or a government scheme.

(1) Yes (2) No

ASK IF: (EverWk = 1)

LeftYr LeftYr_Question

1900..2100

ASK IF: (LeftYr = RESPONSE)

YrLess Number of years since respondent left last paid job (derived within Blaise using current year and LeftYr).

1..97

Block: QJobDet

ASK IF: ((Wrking = 1) OR (JbAway = 1) OR (OwnBus = 1) OR (RelBus = 1) OR (TypSch12 = 1) OR (TypSch12 =2) OR (TypSch12 = 3) OR (TypSch12 = 5) OR (TypSch12 = 9) OR (YrLess <= 8))

IndD What did the firm/organisation that you work for mainly make/do (at the place where you worked)?

Describe fully. Probe manufacturing or processing or distribution etc. and main goods produced, materials used, wholesale or retail etc.

STRING[80]


IndT Enter a title for the industry.

STRING[30]


OccT What was your (main) job (in the week ending Sunday the [date defaults to most recent Sunday])?

Enter job title.

STRING[60]


OccD What did you mainly do in your job?

STRING[80]


Stat Ask (or record if on government scheme or doing unpaid work).

Were you working as an employee or self-employed?

(1) Employee (2) Self-employed (3) Government Scheme (4) Unpaid family worker

ASK IF: (Stat = 1)

Supvis In your main job do you have formal responsibility for supervising the work of other employees?

(1) Yes (2) No

ASK IF: (Stat = 1)

Manage Do you have any managerial duties?

(1) Manager (2) Foreman/supervisor (3) Not manager/supervisor

ASK IF: ((Stat = 1) OR (Stat = 3) OR (Stat = 4))

MpnE02 How many people worked for your employer at the place where you worked?

(1) 1-10 (2) 11-19 (3) 20-24 (4) Don't know but under 25 (5) 25-49 (6) 50-249 (7) 250-499 (8) Don't know between 50 and 499 (9) 500 or more

ASK IF: (Stat = 2)

Solo Were you working on your own or did you have employees?

(1) On own/with partner(s) but no employees (2) With employees

ASK IF: (Solo = 2)

MpnS02 How many people did you employ at the place where you worked?

(1) 1-10 (2) 11-19 (3) 20-24 (4) Don't know but under 25 (5) 25-49 (6) 50-249 (7) 250-499 (8) Don't know between 50 and 499 (9) 500 or more

ASK IF: (((Stat = 1) or ( Stat = 2) OR (Stat = 4)) AND (EverWk = Yes)) OR: (((Stat = 1) OR (Stat = 2)) AND (YrLess <= 8))

OR: ((TypSch12 = 1) OR (TypSch12 =2) OR (TypSch12 = 3) OR (TypSch12 = 5) OR (TypSch12 = 9) OR (WrknSchm = 1))

FtPtWk FtPtWk_Summary

(1) full-time (2) or part-time?

ASK IF: (FtPtWk = 2)

Parthrs (And) did you work 10 hours or more, or less than 10 hours a week?

(1) 10 hours or more (2) Less than 10 hours

ASK IF: (FtPtWk = Pt)

YPtJob I would like to ask you why you took a part-time rather than a full-time job. Was it because you were…

(1) You were a student/You were at school? (2) You were ill or disabled? (3) You could not find a full-time job? (4) You did not want a full-time job?

ASK IF: ((EverWk = RESPONSE) OR (RelBus = Yes) OR (OwnBus = Yes))

Look4 Were you looking for any kind of paid work at any time in the last 4 weeks?

(1) Yes (2) No

ASK IF: ((Look4 = 2) AND (Age < 60))

LkYt4 Were you looking in those 4 weeks for a place on a government scheme?

(1) Yes (2) No

ASK IF: (((LkYt4 = 2) OR (Look4 = 2)) AND (Age > 59) AND (Age < 70))

Wait Were you waiting to take up a job that you had already obtained?

(1) Yes (2) No

ASK IF: (Wait = 2)

LikeWk Would you like to have a regular job at the moment, either full or part-time?

(1) Yes (2) No

ASK IF: (Wait = 2)

NoLoWa What were the reasons you did not look for work in the last 4 weeks?

SET [10] OF (1) Waiting for the results of an application for a job/being assessed by a training agent (2) Student (3) Looking after the family/home (4) Temporarily sick or injured (5) Long-term sick or disabled (6) Believes no jobs available (7) Not yet started looking (8) Doesn't need employment (9) Retired from paid work (10) Any other reason

ASK IF: ((Look4 = 1) OR (LkYt4 = 1) OR (LikeWk = 1) OR (JbAway = Waiting) OR (Wait = 1))

Start If a job had been available in the week ending Sunday would you have been able to start within 2 weeks?

(1) Yes (2) No

ASK IF: (Start = 2)

YStart Why would you not have been able to start within 2 weeks?

(1) Must complete education (2) Cannot leave present job within 2 weeks (3) Looking after the family/home (4) Temporarily sick or injured (5) Long-term sick or disabled (6) Other reason

ASK IF: (((Look4 = 1) OR (LkYt4 = 1)) AND (JbAway <> Waiting))

LkTimA How long have you been looking for paid work/a place on a government scheme/an additional or replacement job?

(1) Not yet started (2) Less than 1 month (3) 1 month but less than 3 months (4) 3 months but less than 6 months (5) 6 months but less than 12 months (6) 12 months but less than 18 months (7) 18 months but less than 2 years (8) 2 years but less than 3 years (9) 3 years but less than 4 years (10) 4 years but less than 5 years (11) 5 years or more

Block: QCoreEdu

ASK ALL:

QualChCr This next section is about education, learning and training. Please think about all qualifications you have ever gained, even if it was a long time ago or you are not using them now.

Do you have any qualifications? Include traditional trade and modern apprenticeships in code 5.

SET [7] OF (1) from school or home-schooling? (2) from college or university? (3) related to work? (4) from government schemes? (5) from an apprenticeship? (6) gained in your leisure time or by teaching yourself? (7) obtained in some other way? (8) No qualifications (Spontaneous only) (9) Don't know (Spontaneous only)

ASK IF: ((1 IN QualChCr) OR (2 IN QualChCr) OR (3 IN QualChCr) OR (4 IN QualChCr) OR (5 IN QualChCr) OR (6 IN QualChCr) OR (7 IN QualChCr) OR (9 IN QualChCr))

HighEd1 What is the highest level of qualification that you have received from school, college or since leaving education?

(1) Degree level qualification (or equivalent) (2) Higher educational qualification below degree level (3) A-Levels or Highers (4) ONC / National Level BTEC (5) O Level or GCSE equivalent (Grade A-C) or O Grade/CSE equivalent (Grade 1) or Standard Grade level 1-3 (6) GCSE grade D-G or CSE grade 2-5 or Standard Grade level 4-6 (7) Other qualifications (including foreign qualifications below degree level) (8) No formal qualifications

ASK IF: (HighEd1 = 7)

TypQul You said you have some ‘other qualification’. Is this a…

Code all that apply.

SET [3] OF (1) work related or vocational qualifications? (2) a professional qualification? (3) a foreign qualification? (4) None of these?

ASK ALL:

EnrolCor And are you at school or sixth form college or enrolled on any full-time or part-time education course, excluding leisure classes?

Include correspondence courses and open learning as well as other forms of full-time or part-time education.

(1) Yes (2) No

ASK IF: (EnrolCor = 1)

AttenCor And are you…

(1) still attending, (2) waiting for term to (re) start, (3) or stopped going?

ASK IF: ((AttenCor = 1) OR (AttenCor = 2))

CoursCor And are you at school or sixth form college, on a full or part-time course, a medical or nursing course, a sandwich course or some other kind of course?

(1) At school full-time/Code doesn’t apply aged 20+ (2) At school part-time/Code doesn’t apply aged 20+ (3) Sandwich course (4) Studying at a university or college including 6th Form college full-time (5) Training for a qualification in nursing, physiotherapy or a similar medical subject (6) A part time course at university, or college, including day release and block release (7) An Open College course (8) An Open University course (9) Any other correspondence course (10) Any other self / open learning method

ASK IF: NOT ((CoursCor = 1) OR (CoursCor = 4))

EdAgeCor How old were you when you finished your continuous full-time education?

1..9

Block: QBCars

ASK ALL:

Cars Does your household have any cars or vans normally available for its use? Include company cars

(1) Yes (2) No

ASK IF: (Cars = 1)

Numcar How many cars and/or vans are available?

1..10

Smoking Section

ASK IF: (Age = 16) OR (Age = 17)

IntroSelf Please answer the next few questions using the laptop. Read the question and follow the instructions on the screen. Please ask me if you need any help in using the laptop. Press 1 and enter, then give the laptop to the respondent.

(1) Proceed to introduction of self-completion (2) Skip self-completion

ASK IF: IntroSelf = 1

Pract1 This is the first time I have used a computer Type the number that applies and then press Enter (the key with the yellow sticker).

(1) Yes (2) No

ASK IF: IntroSelf = 1

Pract2 On which days of the week do you watch television? Type the number of each answer that applies, pressing the space bar between each one. Then press Enter (the key with the yellow sticker).

SET [9] OF (1) Monday (2) Tuesday (3) Wednesday (4) Thursday (5) Friday (6) Saturday (7) Sunday (8) I do not have a television/Don't watch the television (9) I mostly only listen to the radio

ASK IF: (Age = 16) OR (Age = 17)

M210_in16 Now I'd like to ask you about cigarette smoking. Do you smoke cigarettes at all nowadays?

(1) Yes (2) No

ASK IF: CigNow = 1

M210_in18 Now I'd like to ask you about cigarette smoking.


ASK IF: (M210_in16 = 1) OR (CigNow = 1)

CigsWkD How many cigarettes a day do you usually smoke at weekends?

0..200


CigsWkE How many cigarettes a day do you usually smoke on weekdays?

0..200


CigType Do you usually smoke packeted cigarettes, hand-rolled cigarettes or both?

(1) Packeted (2) Hand-rolled (3) Both packeted and hand-rolled, but mainly packeted (4) Both packeted and hand-rolled, but mainly hand-rolled

ASK IF: (IntroSelf = 1)

Selfend Thank you. Please type 1 and press enter. Then hand the laptop back to the interviewer to finish the survey.


Family Information and Fertility Questions

Main Questionnaire block

ASK IF: ((Age >= 16) AND (Age <= 59))

FamIntro Next I would like to ask you some questions about your family information on behalf of the Office for National Statistics.


ASK IF: ((Age >= 16) AND (Age <= 59)) AND: ((RespMar = 2) OR (RespMar = 6))

ChkFIA Interviewer code /Interviewer check

(1) Respondent is married or in a same-sex civil partnership and spouse is a household member

(2) Respondent is married or in a same-sex civil partnership but their spouse is not a household member

ASK IF: (ChkFIA = 2)

HusbAway May I just check, is your husband/wife absent because he/she usually works away from home, the marriage or same-sex civil partnership has broken down or for some other reason?

(1) Usually works away (include Armed Forces, Merchant Navy) (2) Marriage or same-sex civil partnership has broken down/separated (3) Other reason

ASK IF: ((Age >= 16) AND (Age <= 59))

SelfCom3 The next set of questions is about family information, which you may wish to complete on your own. These questions cover any periods of living with a partner. For women, there are questions that ask about any children they have had. Self-completion is recommended to ensure confidentiality and to avoid embarrassment: - when someone other than the respondent's spouse or partner is present - when interviewing young single people - even if no one else is present.

(1) Respondent accepted self completion by laptop (2) Section read and entered by interviewer (3) Respondent refused whole section

Block: QBRelInfo

ASK IF: (SelfCom3 = 1)

IntroSelf2 Please answer the next questions using the laptop. Read the question and follow the instructions on the screen. Please ask me if you need any help in using the laptop. Press 1 and enter, then give the laptop to the respondent.



TestQ1 The next section consists of a series of practice questions for you to go through with the interviewer.



TestQ2 How old are you? Please enter number of years

0..99


TestQ3 Can you tell me the year in which you were born? Enter year in a 4-digit format, e.g. 2000

1900..2012


TestQ4 Can you tell me the month in which you were born? Enter the month If you are unsure of the month, please use your best guess. If you really do not know, then please code 'don't know'

(1) January (2) February (3) March (4) April (5) May (6) June (7) July (8) August (9) September (10) October (11) November (12) December (13) Don't Know (Spontaneous Only)


TestQ5 Can you tell me your date of birth? Please enter the date in full as, DD/MM/YYYY

DATE


TestEnd You have now completed the practice questions. The next section consists of questions on family information and are for you to complete alone. If you have any problems, please ask the interviewer for help.


ASK IF: (SelfCom3 = 1) OR (SelfCom3 = 2) AND: ((RespMar = 2) OR (RespMar = 3) OR (RespMar = 4) OR (RespMar = 5) OR (RespMar = 6) OR (RespMar = 7) OR (RespMar = 8) OR (RespMar = 9))

AreWed Earlier, you said you were ^Respmar. Thinking of this/last marriage/same-sex civil partnership, are/were you legally married/in a same-sex civil partnership or are/were you simply living together as a couple?

(1) Legally married/in a legal same-sex civil partnership (2) Living together as a couple

ASK IF: (AreWed = 1) AND: ((Respmar = 2) OR (Respmar = 3) OR (Respmar = 4) OR (Respmar = 5))

HowWed Did you get married with a religious ceremony of some kind, or at a register office or approved premises?

(1) Religious ceremony of some kind (2) Civil marriage in register office or approved premises (3) Both religious ceremony and register office/approved premises

ASK IF: (AreWed = 1) AND: ((Respmar = 2) OR (Respmar = 3) OR (Respmar = 4) OR (Respmar = 5))

NumMar How many times have you been legally married? Please include your current/recent marriage.

0..7

ASK IF: ((Respmar = 6) OR (Respmar = 7) OR (Respmar = 8) OR (Respmar = 9))

NumCPart How many times have you been in a legal same-sex civil partnership? Please include you current/recent civil partnership.

0..7

Block: QBCurChb

Block: QBCurChb

ASK IF: ((AreWed = 2) OR (RespLive = 1))

ClYr This question refers to your current relationship, where you are living with someone as a couple but are not legally married. Which year did you and your partner start living together as a couple? Enter year in a 4-digit format, e.g. 2000

1900..2012

ASK IF: ((AreWed = 2) OR (RespLive = 1))

ClMon This question refers to your current relationship, where you are living with someone as a couple but are not legally married. Which month did you and your partner start living together as a couple? Enter month If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (AreWed = 2) OR ((RespLive = 1) AND (Respmar = 1))

ClMar May I just check, have you ever been legally married or in a same-sex civil partnership?

(1) Yes, I have been married (2) Yes, I have been in a same-sex civil partnership (3) Yes, I have been married and in a same-sex civil partnership (4) No, I have not been married or in a same-sex civil partnership

Block: QBCurChb

ASK IF: ((ClMar = 1) OR (ClMar = 3))

ClNumMar How many times have you been legally married altogether?

1..7

ASK IF: ((ClMar = 2) OR (ClMar = 3))

ClNumCP How many times have you been in a legal same-sex civil partnership altogether?

1..7

Block: QBMarriages

ASK IF: ((NumMar >= 1) OR (ClNumMar >= 1))

YrMar Thinking about your current/previous/most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012

ASK IF ((NumMar >= 1) OR (CLNumMar >= 1))

MonMar Thinking about your current/previous/most recent marriage, which month in that year (^YrMar) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((NumMar >= 1) OR (CLNumMar >= 1))

LvTgthr Before getting married, did you and your husband/wife live together as a couple?

(1) Yes (2) No

ASK IF: (LvTgthr = 1)

YrLvTg Thinking about your current/previous/most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012

ASK IF: (DLvTgthr = 1)

MonLvTg Thinking about your current/previous/most recent marriage, which month in that year (^YrLvTg) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



Current May I just check. Thinking about your current/previous/most recent marriage, is this marriage current or has it ended through death, divorce or separation?

(1) Current (2) Ended through death, divorce or separation

ASK IF: (Current = 2)

HowEnded Ask or record. Did your marriage end in ...

(1) death, (2) divorce, (3) or separation?

ASK IF: (HowEnded = 1)

YrDie Thinking about your current/recent/most previous marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie Thinking about your ^LMarNo marriage, in which month of that year (^YrDie) did your ^HusbWfe die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((HowEnded = 2) OR (HowEnded = 3))

YrSep Thinking about your current/previous/most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep Thinking about your current/previous/most recent marriage, in which month of that year (^YrSep) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv Thinking about your ^LMarNo marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv Thinking about your current/previous/most recent marriage, in which month of that year (^YrDiv) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar2 Thinking about your second/most recent previous marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012

ASK IF: ((NumMar > 1) OR (ClNumMar > 1))

MonMar2 Thinking about your second/most recent previous marriage, which month in that year (^YrMar2) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



LvTgthr2 Before getting married, did you and your husband/wife live together as a couple?

(1) Yes (2) No

ASK IF: (LvTgthr2 = 1)

YrLvTg2 Thinking about your second/most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg2 Thinking about your second/most recent previous marriage, which month in that year (^YrLvTg2) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



HowEnded2 Did your marriage end in ...


ASK IF: (HowEnded2 = 1)

YrDie2 Thinking about your second/most recent previous marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie2 Thinking about your second/most recent previous marriage, in which month of that year (^YrDie2) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((HowEnded2 = 2) OR (HowEnded2 = 3))

YrSep2 Thinking about your second/most recent previous marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep2 Thinking about your second/most recent previous marriage, in which month of that year (^YrSep2) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv2 Thinking about your second/most recent previous marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv2 Thinking about your second/most recent previous marriage, in which month of that year (^YrDiv2) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar3 Thinking about your third/second marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar3 Thinking about your third/second marriage, which month in that year (^YrMar3) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg3 Thinking about your third/second marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg3 Thinking about your third/second marriage, which month in that year (^YrLvTg3) did you start living together? Enter month If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie3 Thinking about your third/second marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie3 Thinking about your third/second marriage, in which month of that year (^YrDie3) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep3 Thinking about your third/second marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep3 Thinking about your third/second marriage, in which month of that year (^YrSep3) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv3 Thinking about your third/second marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv3 Thinking about your third/second marriage, in which month of that year (^YrDiv3) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar4 Thinking about your fourth/third marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar4 Thinking about your fourth/third marriage, which month in that year (^YrMar4) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg4 Thinking about your fourth/third marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg4 Thinking about your fourth/third marriage, which month in that year (^YrLvTg4) did you start living together? Enter month If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie4 Thinking about your fourth/third marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie4 Thinking about your fourth/third marriage, in which month of that year (^YrDie4) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep4 Thinking about your fourth/third marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep4 Thinking about your fourth/third marriage, in which month of that year (^YrSep4) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv4 Thinking about your fourth/third marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv4 Thinking about your fourth/third marriage, in which month of that year (^YrDiv4) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar5 Thinking about your fifth/fourth marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar5 Thinking about your fifth/fourth marriage, which month in that year (^YrMar5) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



LvTgthr5 Before getting married, did you and your ^HusbWfe live together as a couple?

(1) Yes (2) No


YrLvTg5 Thinking about your fifth/fourth marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg5 Thinking about your fifth/fourth marriage, which month in that year (^YrLvTg5) did you start living together?

Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



HowEnded5 Did your marriage end in



YrDie5 Thinking about your fifth/fourth marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie5 Thinking about your fifth/fourth marriage, in which month of that year (^YrDie5) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep5 Thinking about your fifth/fourth marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep5 Thinking about your fifth/fourth marriage, in which month of that year (^YrSep5) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv5 Thinking about your fifth/fourth marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv5 Thinking about your fifth/fourth marriage, in which month of that year (^YrDiv5) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar6 Thinking about your sixth/fifth marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012

ASK IF: ((NumMar > 5) OR ClNumMar > 5))

MonMar6 Thinking about your sixth/fifth marriage, which month in that year (^YrMar6) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((NumMar > 5) OR ClNumMar > 5))


(1) Yes (2) No


YrLvTg6 Thinking about your sixth/fifth marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg6 Thinking about your sixth/fifth marriage, which month in that year (^YrLvTg6) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie6 Thinking about your sixth/fifth marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie6 Thinking about your sixth/fifth marriage, in which month of that year (^YrDie6) did your ^HusbWfe die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep6 Thinking about your sixth/fifth marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep6 Thinking about your sixth/fifth marriage, in which month of that year (^YrSep6) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together.

If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv6 Thinking about your sixth/fifth marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv6 Thinking about your sixth/fifth marriage, in which month of that year (^YrDiv6) was your decree absolute granted? Enter month




YrMar7 Thinking about your seventh/sixth marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar7 Thinking about your seventh/sixth marriage, which month in that year (^YrMar7) were you married? Enter month





(1) Yes (2) No


YrLvTg7 Thinking about your seventh/sixth marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg7 Thinking about your seventh/sixth marriage, which month in that year (^YrLvTg7) did you start living together? Enter month.






ASK IF: (HowEnded7 = Death)

YrDie7 Thinking about your seventh/sixth marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie7 Thinking about your seventh/sixth marriage, in which month of that year (^YrDie7) did your husband/wife die? Enter month




YrSep7 Thinking about your seventh/sixth marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep7 Thinking about your seventh/sixth marriage, in which month of that year (^YrSep7) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together.




YrDiv7 Thinking about your seventh/sixth marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv7 Thinking about your seventh/sixth marriage, in which month of that year (^YrDiv7) was your decree absolute granted? Enter month.



Block: QBCivPart

ASK IF: ((ClNumCP > 1) OR (NumCPart > 1))

YrCivPart Thinking about your Current/previous/most recent previous same-sex civil partnership, in which year did you enter into a same-sex civil partnership? Enter year in 4-digit format, e.g. 2000

2005..2012


MonCivPart Thinking about your Current/previous/most recent previous same-sex civil partnership, which month in that year (^YrCivPart) did you enter into the same-sex civil partnership? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



LvTgthrCP Before getting married, did you and your civil partner live together as a couple?

(1) Yes (2) No

ASK IF: (LvTgthrCP = 1)

YrLvTgCP Thinking about your Current/previous/most recent previous same-sex civil partnership, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTgCP Thinking about your Current/previous/most recent previous same-sex civil partnership, which month in that year (^YrLvTgCP) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



CurrentCP May I just check? Thinking about your Current/previous/most recent previous same-sex civil partnership, is this civil partnership current or has it ended through death, dissolution or separation?

(1) Current (2) Ended through death, dissolution or separation

ASK IF: (CurrentCP = 2)

HowEndedCP Did your same-sex civil partnership end in ...

(1) death, (2) dissolution, (3) or separation?

ASK IF: (HowEndedCP = 1)

YrDieCP Thinking about your Current/previous/most recent previous same-sex civil partnership, in which year did your civil partner die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDieCP Thinking about your Current/previous/most recent previous same-sex civil partnership, in which month of that year (^YrDieCP) did your civil partner die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((HowEndedCP = 2) OR (HowEndedCP = 3))

YrSepCP Thinking about your Current/previous/most recent previous same-sex civil partnership, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSepCP Thinking about your Current/previous/most recent previous same-sex civil partnership, in which month of that year (^YrSepCP) did you stop living together as a couple?




YrDissCP Thinking about your Current/previous/most recent previous same-sex civil partnership, in which year was your dissolution order granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDissCP Thinking about your second most recent/most recent previous same-sex civil partnership, in which month of that year (^YrDissCP) was your dissolution order granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrCivPart2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which year did you enter into a same-sex civil partnership? Enter year in 4-digit format, e.g. 2000

2005..2012


MonCivPart2 Thinking about your second most recent/most recent previous same-sex civil partnership, which month in that year (^YrCivPart2) did you enter into the same-sex civil partnership? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



LvTgthrCP2 Before getting married, did you and your civil partner live together as a couple?

(1) Yes (2) No

ASK IF: (LvTgthrCP2 = 1)

YrLvTgCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTgCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, which month in that year (^YrLvTgCP2) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



HowEndedCP2 Did your same-sex civil partnership end in ...


ASK IF: (HowEndedCP2 = 1)

YrDieCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which year did your civil partner die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDieCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which month of that year (^YrDieCP2) did your civil partner die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((HowEndedCP2 = 2) OR (HowEndedCP2 = 3))

YrSepCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSepCP2 Thinking about your second most recent/most recent previous same sex civil partnership, in which month of that year (^YrSepCP2) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDissCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which year was your dissolution order granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDissCP2 Thinking about your second most recent/most recent previous same-sex civil partnership, in which month of that year (^YrDissCP2) was your dissolution order granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrCivPart3 Thinking about your third/second most recent previous same-sex civil partnership, in which year did you enter into a same-sex civil partnership? Enter year in 4-digit format, e.g. 2000

2005..2012


MonCivPart3 Thinking about your third/second most recent previous same-sex civil partnership, which month in that year (^YrCivPart3) did you enter into the same-sex civil partnership? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTgCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTgCP3 Thinking about your third/second most recent previous same-sex civil partnership, which month in that year (^YrLvTgCP3) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDieCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which year did your civil partner die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDieCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which month of that year (^YrDieCP3) did your civil partner die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: ((HowEndedCP3 = 2) OR (HowEndedCP3 = 3)

YrSepCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSepCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which month of that year (^YrSepCP3) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDissCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which year was your dissolution order granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDissCP3 Thinking about your third/second most recent previous same-sex civil partnership, in which month of that year (^YrDissCP3) was your dissolution order granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


Block: QBMarCPart

ASK IF: (Respmar = 2) OR (Respmar = 3) OR (Respmar = 4) OR (Respmar = 5) OR (Respmar = 6) OR (Respmar = 7) OR (Respmar = 8) OR Respmar = 9)

MarCPart May I just check, in addition to this marriage/same-sex civil partnership, have you ever been in a same sex civil partnership/legally married?

(1) Yes (2) No

ASK IF: (MarCPart = 1) AND: ((Respmar = 6) OR (Respmar = 7) OR (Respmar = 8) OR Respmar = 9))

NumMar2 How many times have you been legally married? Please include your most recent marriage

0..7

ASK IF: (MarCPart = 1) AND: ((Respmar = 2) OR (Respmar = 3) OR (Respmar = 4) OR (Respmar = 5))

NumCPart How many times have you been in a same-sex civil partnership? Please include your most recent civil partnership

0..7

Block: QBCivPart2

ASK IF: (NumCPart >= 1)

YrCivPart Thinking about your most recent same-sex civil partnership, in which year did you enter into a same-sex civil partnership? Enter year in 4-digit format, e.g. 2000

2005..2012


MonCivPart Thinking about your most recent same-sex civil partnership, which month in that year (^YrCivPart) did you enter into the same-sex civil partnership? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



LvTgthrCP Before getting married, did you and your civil partner live together as a couple?

(1) Yes (2) No


YrLvTgCP Thinking about your most recent same-sex civil partnership, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTgCP Thinking about your most recent same-sex civil partnership, which month in that year (^YrLvTgCP) did you start living together?



ASK IF: (CurrentCP = 2)* *(note that respondents routed to this block are currently married, and in this block we are looking at previous civil partnerships, therefore CurrentCP is automatically assigned with a value of 2 in this block)

HowEndedCP Did your same-sex civil partnership end in…



YrDieCP Thinking about your most recent same-sex civil partnership, in which year did your civil partner die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDieCP Thinking about your most recent same-sex civil partnership, in which month of that year (^YrDieCP) did your civil partner die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSepCP Thinking about your most recent same-sex civil partnership, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSepCP Thinking about your most recent same-sex civil partnership, in which month of that year (^YrSepCP) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDissCP Thinking about your most recent same-sex civil partnership, in which year was your dissolution order granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDissCP Thinking about your most recent same-sex civil partnership, in which month of that year (^YrDissCP) was your dissolution order granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (NumCPart > 1)

YrCivPart2 Thinking about your second most recent same-sex civil partnership, in which year did you enter into a same-sex civil partnership? Enter year in 4-digit format, e.g. 2000

2005..2012


MonCivPart2 Thinking about your second most recent same-sex civil partnership, which month in that year (^YrCivPart2) did you enter into the same-sex civil partnership? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTgCP2 Thinking about your second most recent same-sex civil partnership, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTgCP2 Thinking about your second most recent same-sex civil partnership, which month in that year (^YrLvTgCP2) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDieCP2 Thinking about your second most recent same-sex civil partnership, in which year did your civil partner die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDieCP2 Thinking about your second most recent same-sex civil partnership, in which month of that year (^YrDieCP2) did your civil partner die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSepCP2 Thinking about your second most recent same-sex civil partnership, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSepCP2 Thinking about your second most recent same-sex civil partnership, in which month of that year (^YrSepCP2) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDissCP2 Thinking about your second most recent same-sex civil partnership, in which year was your dissolution order granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDissCP2 Thinking about your second most recent same-sex civil partnership, in which month of that year (^YrDissCP2) was your dissolution order granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrCivPart3 Thinking about your third most recent same-sex civil partnership, in which year did you enter into a same-sex civil partnership? Enter year in 4-digit format, e.g. 2000

2005..2012


MonCivPart3 Thinking about your third most recent same-sex civil partnership, which month in that year (^YrCivPart3) did you enter into the same-sex civil partnership? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTgCP3 Thinking about your third most recent same-sex civil partnership, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTgCP3 Thinking about your third most recent same-sex civil partnership, which month in that year (^YrLvTgCP3) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDieCP3 Thinking about your third most recent same-sex civil partnership, in which year did your civil partner die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDieCP3 Thinking about your third most recent same-sex civil partnership, in which month of that year (^YrDieCP3) did your civil partner die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSepCP3 Thinking about your third most recent same-sex civil partnership, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSepCP3 Thinking about your third most recent same-sex civil partnership, in which month of that year (^YrSepCP3) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDissCP3 Thinking about your third most recent same-sex civil partnership, in which year was your dissolution order granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDissCP3 Thinking about your third most recent same-sex civil partnership, in which month of that year (^YrDissCP3) was your dissolution order granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


Block: QBMarriages2

ASK IF: (NumMar2 >= 1)

YrMar Thinking about your most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar Thinking about your most recent marriage, which month in that year (^YrMar) were you married?




LvTgthr Before getting married, did you and your husband/wife live together as a couple?

(1) Yes (2) No


YrLvTg Thinking about your most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg Thinking about your most recent marriage, which month in that year (^YrLvTg) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (Current = 2)* *(note that respondents routed to this block are currently in a same-sex civil partnership, and in this block we are looking at previous marriages therefore Current is automatically assigned with a value of 2 in this block)

HowEnded Did your marriage end in ...



YrDie Thinking about your most recent marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie Thinking about your most recent marriage, in which month of that year (^YrDie) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep Thinking about your most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep Thinking about your most recent marriage, in which month of that year (^YrSep) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (HowEnded = Divorce)

YrDiv Thinking about your most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012

ASK IF: (HowEnded = Divorce)

MonDiv Thinking about your most recent marriage, in which month of that year (^YrDiv) was your decree absolute granted? Enter month If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (NumMar2 > 1)

YrMar2 Thinking about your second most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar2 Thinking about your second most recent marriage, which month in that year (^YrMar2) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg2 Thinking about your second most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg2 Thinking about your second most recent marriage, which month in that year (^YrLvTg2) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie2 Thinking about your second most recent marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie2 Thinking about your second most recent marriage, in which month of that year (^YrDie2) did your husband/wife die? Enter month If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep2 Thinking about your second most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep2 Thinking about your second most recent marriage, in which month of that year (^YrSep2) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv2 Thinking about your second most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv2 Thinking about your second most recent marriage, in which month of that year (^YrDiv2) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar3 Thinking about your third most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar3 Thinking about your third most recent marriage, which month in that year (^YrMar3) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg3 Thinking about your third most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg3 Thinking about your third most recent marriage, which month in that year (^YrLvTg3) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie3 Thinking about your third most recent marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie3 Thinking about your third most recent marriage, in which month of that year (^YrDie3) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep3 Thinking about your third most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep3 Thinking about your third most recent marriage, in which month of that year (^YrSep3) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv3 Thinking about your third most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv3 Thinking about your third most recent marriage, in which month of that year (^YrDiv3) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar4 Thinking about your fourth most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar4 Thinking about your fourth most recent marriage, which month in that year (^YrMar4) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg4 Thinking about your fourth most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg4 Thinking about your fourth most recent marriage, which month in that year (^YrLvTg4) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie4 Thinking about your fourth most recent marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie4 Thinking about your fourth most recent marriage, in which month of that year (^YrDie4) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep4 Thinking about your fourth most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep4 Thinking about your fourth most recent marriage, in which month of that year (^YrSep4) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv4 Thinking about your fourth most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv4 Thinking about your fourth most recent marriage, in which month of that year (^YrDiv4) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar5 Thinking about your fifth most recent marriage, in which year were you married?

Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar5 Thinking about your fifth most recent marriage, which month in that year (^YrMar5) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg5 Thinking about your fifth most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg5 Thinking about your fifth most recent marriage, which month in that year (^YrLvTg5) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie5 Thinking about your fifth most recent marriage, in which year did your husband/wife die?

Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie5 Thinking about your fifth most recent marriage, in which month of that year (^YrDie5) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep5 Thinking about your fifth most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep5 Thinking about your fifth most recent marriage, in which month of that year (^YrSep5) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv5 Thinking about your fifth most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv5 Thinking about your fifth most recent marriage, in which month of that year (^YrDiv5) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar6 Thinking about your sixth most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar6 Thinking about your sixth most recent marriage, which month in that year (^YrMar6) were you married? Enter month If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg6 Thinking about your sixth most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg6 Thinking about your sixth most recent marriage, which month in that year (^YrLvTg6) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie6 Thinking about your sixth most recent marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie6 Thinking about your sixth most recent marriage, in which month of that year (^YrDie6) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep6 Thinking about your sixth most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep6 Thinking about your sixth most recent marriage, in which month of that year (^YrSep6) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv6 Thinking about your sixth most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012

ASK IF: (HowEnded6 = Divorce)

MonDiv6 Thinking about your sixth most recent marriage, in which month of that year (^YrDiv6) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrMar7 Thinking about your seventh most recent marriage, in which year were you married? Enter year in 4-digit format, e.g. 2000

1900..2012


MonMar7 Thinking about your seventh most recent marriage, which month in that year (^YrMar7) were you married? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.




(1) Yes (2) No


YrLvTg7 Thinking about your seventh most recent marriage, in which year did you start living together? Enter year in 4-digit format, e.g. 2000

1900..2012


MonLvTg7 Thinking about your seventh most recent marriage, which month in that year (^YrLvTg7) did you start living together? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.






YrDie7 Thinking about your seventh most recent marriage, in which year did your husband/wife die? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDie7 Thinking about your seventh most recent marriage, in which month of that year (^YrDie7) did your husband/wife die? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrSep7 Thinking about your seventh most recent marriage, in which year did you stop living together as a couple? Enter year in 4-digit format, e.g. 2000

1900..2012


MonSep7 Thinking about your seventh most recent marriage, in which month of that year (^YrSep7) did you stop living together as a couple? Enter month; if lived together intermittently, enter last month in which the couple lived together. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



YrDiv7 Thinking about your seventh most recent marriage, in which year was your decree absolute granted? Enter year in 4-digit format, e.g. 2000

1900..2012


MonDiv7 Thinking about your seventh most recent marriage, in which month of that year (^YrDiv7) was your decree absolute granted? Enter month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


Block: QBCohab

ASK IF: ((SelfCom3 = 1) OR (SelfCom3 = 2))

Cohab Have you had any/any other relationships in which you lived together with someone as a couple but did not get married?

(1) Yes (2) No

ASK IF: (Cohab = 1)

NumCohab How many relationships have you had altogether in which you lived together with someone as a couple but did not get married?

1..7

ASK IF: (Cohab = 1)

TimeCoY1 Thinking about the first relationship where you lived with someone as a couple but did not get married, how long did you live together in terms of years and months? Please enter number of years only. For example, if you lived together for 3 years and 8 months then enter 3 years only. The number of months you lived together will be collected in the following question. If you lived together for less than one year, please enter zero.

0..99

ASK IF: (Cohab = 1)

TimeCoM1 Now enter number of months only. For example, if you lived together for 3 years and 8 months then enter 8 months only.

0..11

ASK IF: (Cohab = 1)

WhenCoY1 Can you tell me the year in which you started or stopped living together as a couple with your partner? Enter the year

1900..2012

ASK IF: (Cohab = 1)

WhenCoM1 Can you tell me the month in which you started or stopped living together as a couple with your partner? Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (Cohab = 1)

Starten1 Is this when you and your partner started living together or finished living together as a couple?

(1) Started living together (2) Finished living together

ASK IF: (WhenCoM1 <> 13) *Note here that ^LMonth and ^LYear (below) are calculated within the Bliase program

OthDate1 If that was the date you started/stopped living together, you stopped/started living together in ^LMonth ^LYear. Does that seem about right?

(1) Yes (2) No

ASK IF: ((OthDate1 = 2) OR (WhenCoM1 = 13))

RghtDtM1 If you are unsure when you started/stopped living together, when did you stop/start living together? / What is the correct date? Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



RghtDtY1 What year did you stop/start living together? / What is the correct date? Enter the year

1950..2012

ASK IF: (Cohab = 1) *Note that ^LMonth2 and ^LYear2 (below) are derived from earlier variables

EndCoh1 You said you stopped living together in ^LMonth2 ^LYear2. May I just check, was this when you stopped living together in the same accommodation, when the relationship ended or both?

(1) Stopped living in the same accommodation only (2) End of relationship only (3) Both happened at the same time (4) Partner died

ASK IF: (EndCoh1 = 1)

EndRelY1 In which year did the relationship end? Enter the year

1950..2012


EndRelM1 In which month did the relationship end? Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



EndLivY1 In which year did you stop living in the same accommodation? Enter the year

1950..2012


EndLivM1 In which month did you stop living in the same accommodation? Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (NumCohab > 1)

TimeCoY2 Thinking about the second relationship where you lived with someone as a couple but did not get married, how many years did you live together? Please enter number of years only

0..99


TimeCoM2 Thinking about the second relationship where you lived with someone as a couple but did not get married, how many months did you live together? Please enter number of months only

0..11

ASK IF: (NumCohab > 1


1950..2012









(1) Yes (2) No

ASK IF: (OthDate2 = 2) OR (WhenCoM2 = 13)

RghtDtM2 If you are unsure when you started/stopped living together, when did you stop/start living together? / What is the correct date? Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.


ASK IF: (OthDate2 = 2) OR (WhenCoM2 = 13)

RghtDtY2 What yer did you stop/start living together? / What is the correct date? Enter the year

1950..2012

ASK IF: (NumCohab > 1) *Note that ^LMonth2 and ^LYear2 (below) are derived from earlier variables





1950..2012






1950..2012





TimeCoY3 Thinking about the third relationship where you lived with someone as a couple but did not get married, how many years did you live together? Please enter number of years only

0..99


TimeCoM3 Thinking about the third relationship where you lived with someone as a couple but did not get married, how many months did you live together? Please enter number of months only

0..11



1950..2012









(1) Yes (2) No


RghtDtM3 If you are unsure of when you started/stopped living together, when did you stop/start living together? / What is the correct date? Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



RghtDtY3 When did you stop/start living together? / What is the correct date? Enter the year

1950..2012

ASK IF: (NumCohab > 2) *Note that ^LMonth2 and ^LYear2 (below) are derived from earlier variables





1950..2012






1950..2012




Block: QBFamChild

ASK IF: ((SelfCom3 = 1) OR (SelfCom3 = 2)) AND: (HHSize > 1)

Children Do you have any children living in the household? Includes adult children and/or step/foster children. If appropriate please include any children from your partner’s previous relationship.

(1) Yes (2) No

ASK IF: (Children = Yes)

StpChld The next questions are about the family. Do you have any step, foster, or adopted children of any age living with you? For stepchildren, please include any children of any age from your husband’s/wife’s/partner’s previous marriage or relationship.

(1) Yes (2) No

ASK IF: (StpChld = 1)

NumStep How many step children live with you? Please include children of any age from your husband’s/wfie’s/partner’s previous marriage or relationship.

0..14


NumFost How many foster children have you living with you altogether?

0..14


NumAdop How many adopted children have you living with you altogether?

0..14

Block: QBStpCh

ASK IF: In loop FOR LFI2a1 := 1 TO NumStCh

ChildNo From the list below, please copy the number of the first/second/third/fourth/fifth/sixth/seventh step/foster/adopted child.

Includes adult children (1) ÂXChldNme[1]·· (2) ÂXChldNme[2]·· (3) ÂXChldNme[3]·· (4) ÂXChldNme[4]·· (5) ÂXChldNme[5]·· (6) ÂXChldNme[6]·· (7) ÂXChldNme[7]·· (8) ÂXChldNme[8]·· (9) ÂXChldNme[9]·· (10) ÂXChldNme[10] (11) ÂXChldNme[11] (12) ÂXChldNme[12] (13) ÂXChldNme[13] (14) ÂXChldNme[14] (15) ÂXChldNme[15] (16) ÂXChldNme[16]

1..16


ChldType Thinking about ÂXChldNme[ChildNo]. Is ÂXChldNme[ChildNo] your step-child, your adopted-child or are they your foster-child?

(1) Step (2) Adopted (3) Foster


ChLivYr Thinking about ÂXChldNme[ChildNo] Please state the year ÂXChldNme[ChildNo] started living with you Enter year in 4 digit format, e.g. 2000

1900..2012


ChLivMon Thinking about ^AXChldNme[ChildNo] Please state the month ^AXChldNme[ChildNo] started living with you. Enter the month. If you are unsure of the month, please use your best guess. If you really do not know, then please code option 13 – don’t know.



ASK IF: ((Sex = Female) AND (Age >= 60))

FertIntro Next I would like to ask you some questions about your fertility history on behalf of the Office for National Statistics. This module part of MDF Family Information and Fertility


ASK IF: ((Sex = Female) AND (Age >= 60))

SelfCom4 These questions are about your fertility history, which you may wish to complete on your own. These questions cover any details about all of the children you have ever given birth to. Self-completion is recommended to ensure confidentiality and to avoid embarrassment: - when someone other than the respondent's spouse or partner is present - when interviewing young single people - even if no one else is present.

(1) Respondent accepted self completion by laptop (2) Section read and entered by interviewer (3) Respondent refused whole section


TestQ1 The next section consists of a series of practice questions for you to go through with the interviewer.



TestQ2 How old are you? Please enter number of years

0..99


TestQ3 Can you tell me the year in which you were born? Enter year in a 4-digit format, e.g. 2000

1900..2012


TestQ4 Can you tell me the month in which you were born? Enter the month.



TestQ5 Can you tell me your date of birth? Please enter the date in full as, DD/MM/YYYY

DATE


TestEnd You have now completed the practice questions. The next section consists of questions on family information and are for you to complete alone. If you have any problems, please ask the interviewer for help.


Block: QBbaby

ASK IF: (Sex = 2)

Baby In the next set of questions, we want to record some details about all the children you have ever given birth to. This includes: - those who live somewhere else, such as adult children; - those who live here; - any who have died since birth. Have you ever given birth to a baby? Please exclude stillborn babies.

(1) Yes (2) No

ASK IF: (Baby = 1)

NumBaby How many children in total have you given birth to? This includes: - those who live somewhere else, such as adult children; - those who live here; - any who have died since birth.

Please exclude stillborn babies.

0..20

Block: QBBabDet

ASK IF: In loop FOR LFI31b := 1 TO NumBaby

Birthdte Please enter the date of birth of your first/second/……./nineteenth/twentieth child Please enter in date of birth order - eldest first, youngest last. This question refers only to children born to you Please enter the date in full as, DD/MM/YYYY.

DATE


BirthSex Please enter the sex of your first/second/……./nineteenth/twentieth child

(1) Male (2) Female


ChldLive Is this child living with you?

(1) Yes (2) No, lives elsewhere (3) No, deceased

Block: QBFerInt

ASK IF: (Sex = 2) AND: (Age <= 49)

Pregnant May I just check, are you pregnant now?

(1) Yes (2) No/unsure

ASK IF: (Sex = 2) AND: (Age <= 49)

MoreChld Do you think that you will have any children/more children? /

Do you think you will have any more children, after the one you are expecting Could you choose your answers from this card.

(1) Yes (2) Probably yes (3) Probably not (4) No (5) Don't Know

ASK IF: (MoreChld = 5)

ProbMore On the whole do you think...

(1) you will probably have any/more children? (2) or you will probably not have any/more children?

ASK IF: ((MoreChld = 1) OR (MoreChld = 2))

TotChld How many children do you think you will have born to you in total including those you have had already who are still alive? /

How many children do you think you will have born to you in total including the one that you are expecting and including those you have had already who are still alive?

1..16

ASK IF: ((MoreChld = 1) OR (MoreChld = 2))

NextAge How old do you think you will be when you have your first/next baby? /

How old do you think you will be when you have your first/next baby, after the one you are expecting?

1..97


ASK IF: ((SelfCom3 = 1) OR (SelfCom4 = 1))

EndSC Thank you for completing this section. Please return the laptop to the interviewer.


Drinking Section

DrinkIntro Next I would like to ask you some questions about drinking on behalf of the Office for National Statistics This module is MDH Drinking


Selfcom_Drk I'm now going to ask you a few questions about what you drink - that is if you do drink. i@|^LDrink1 and enter code.

(1) Interviewer asked section (2) Respondent accepted self-completion

ASK IF: (Selfcom_Drk = 2) AND: (SelfCom4 = 2) OR (SelfCom4 = 3) OR (SelfCom3 = 3) OR (SelfCom3 = 2) OR ((Age >= 60) AND (Sex = Male))

IntroDrSC Please answer the next questions using the laptop. Read the question and follow the instructions on the screen. Please ask me if you need any help in using the laptop. Press 1 and enter, then give the laptop to the respondent.


ASK IF: (Selfcom_Drk = 2) AND: ((((SelfCom4 = 2) OR (SelfCom4 = 3)) OR (SelfCom3 = 2)) OR (SelfCom3 = 3)) OR ((Age >= 60) AND (Sex = Male))

TestDr The next section consists of a couple of practice questions for you to go through with the interviewer.


ASK IF: (SelfCom_Drk = 2) AND: (SelfCom4 = 2) OR (SelfCom4 = 3) OR (SelfCom3 = 2)) OR (SelfCom3 = 3) OR ((Age >= 60) AND (Sex = Male))

TestDr2 Do you own, or have use of, a car or van? Type the number that applies and then press Enter (the key with the yellow sticker).

(1) Yes (2) No

ASK IF: (SelfCom_Drk = 2) AND: (SelfCom4 = 2) OR (SelfCom4 = 3) OR (SelfCom3 = 2) OR (SelfCom3 = 3) OR ((Age >= 60) AND (Sex = Male))

TestDr3 On which days of the week do you usually use a car or van, either as a driver or as a passenger? Type the number of each answer that applies, pressing the space bar between each one. Then press Enter (the key with the yellow sticker).

SET [7] OF (1) Monday (2) Tuesday (3) Wednesday (4) Thursday (5) Friday (6) Saturday (7) Sunday (8) I rarely/never drive or take a ride in a car or van

ASK IF: (SelfCom_Drk = 2) AND: (SelfCom4 = 2) OR (SelfCom4 = 3) OR (SelfCom3 = 2) OR (SelfCom3 = 3) OR ((Age >= 60) AND (Sex = Male))

TestDrEnd You have now completed the practice questions. The next section consists of questions on drinking and are for you to complete alone. If you have any problems, please ask the interviewer for help.


DrinkNow Do you ever drink alcohol nowadays, including drinks you brew or make at home?

(1) Yes (2) No

ASK IF: DrinkNow = 2

DrinkAny Could I just check, does that mean you never have an alcoholic drink nowadays, or do you have an alcoholic drink very occasionally, perhaps for medicinal purposes or on special occasions like Christmas or New Year?

(1) Very occasionally (2) Never

ASK IF: (DrinkNow = 1) OR (DrinkAny = 1)

DrinkAmt Here are a few descriptions about the amounts of alcohol people drink, and I would like you to say which one fits you best. Would you say you ...

(1) hardly drink at all (2) drink a little (3) drink a moderate amount (4) drink quite a lot (5) or drink heavily?

ASK IF: (DrinkNow = 1) OR (DrinkAny = 1)

DrinkOft Thinking now about all kinds of drinks, how often have you had an alcoholic drink of any kind during the last 12 months?

(1) Almost every day (2) 5 or 6 times a week (3) 3 or 4 days a week (4) once or twice a week (5) once or twice a month (6) once every couple of months (7) once or twice a year (8) not at all in last 12 months

ASK IF: (DrinkOft = 1) OR (DrinkOft = 2) OR (DrinkOft = 3) OR (DrinkOft = 4) OR (DrinkOft = 5) OR (DrinkOft = 6) OR (DrinkOft = 7)

DrinkL7 I would like to ask you whether you have drunk different types of alcoholic drink in the last 7 days. I would like to hear about ALL types of alcoholic drinks you have had. I do not need to hear about non-alcoholic or low alcohol drinks. Did you have an alcoholic drink in the seven days ending yesterday? i@|Low alcohol drinks are defined as drinks which do not exceed an alcohol content of 0.5%.

(1) Yes (2) No

ASK IF: (DrinkL7 = 1)

DrnkDay On how many days out of the last seven did you have an alcoholic drink?

1..7

ASK IF: (DrnkDay >= 2)

DrnkSame Did you drink more on one/some of the days, or did you drink about the same on each of those days?

(1) Drank more on one/some day(s) than other(s) (2) Same each day


WhichDay Which day last week did you last have an alcoholic drink/have the most to drink?

(1) Sunday (2) Monday (3) Tuesday (4) Wednesday (5) Thursday (6) Friday (7) Saturday


DrnkType Thinking about last ^WhichDay, what types of drink did you have that day? If you are not sure whether a drink you have had goes into a category, please let me/the interviewer know. Record all of the drinks that you consumed that day.

SET [6] OF (1) Normal strength beer/lager/cider/shandy (2) Strong beer/lager/cider (3) Spirits or liqueurs (4) Sherry or martini (5) Wine (6) Alcopops

ASK IF: (1 IN DrnkType) AND (Selfcom_Drk = 1)

NBrL7 Still thinking about last ^WhichDay, how much normal strength beer, lager, stout, cider or shandy (excluding cans and bottles of shandy) did you drink that day? Code measures that you are going to use Probe if necessary. Code all that apply. Small cans = 330ml Large cans = 440ml Schooner = 2 thirds of a pint Bottles and cans of ready mixed shandy are excluded due to their very low alcohol content

SET [5] OF (1) Half pints (2) Small cans (3) Large cans (4) Bottles (5) Schooner

ASK IF: (1 IN NBrL7)

NBrL7_HP How many half-pints of normal strength beer, lager, stout, cider or shandy did you drink that day?

1..97


NBrL7_SmlCn How many small cans of normal strength beer, lager, stout or cider did you drink that day?

1..97


NBrL7_LrgCn How many large cans of normal strength beer, lager, stout or cider did you drink that day?

1..97


NBrL7_Bttles How many bottles of normal strength beer, lager, stout or cider did you drink that day?

1..97


NBrL7_Schn How many schooners of normal strength beer, lager, stout, cider or shandy did you drink that day?

1..97


SCNBrL7 Still thinking about last ^WhichDay, what measures of normal strength beer, lager, stout, cider or shandy (excluding cans and bottles of shandy) did you drink that day? Record all measures that you consumed. Small cans = 330ml Large cans = 440ml Schooner = 2 thirds of a pint Bottles and cans of ready mixed shandy are excluded due to their very low alcohol content

SET [6] OF (1) Half pints (2) Pints (3) Small cans (4) Large cans (5) Bottles (6) Schooner

ASK IF: (1 IN SCNBrL7)

SCNBrL7_HP How many half-pints of normal strength beer, lager, stout, cider or shandy did you drink that day?

1..97


SCNBrL7_Pints How many pints of normal strength beer, lager, stout, cider or shandy did you drink that day?

1..97


SCNBrL7_SmlCn How many small cans of normal strength beer, lager, stout or cider did you drink that day?

1..97


SCNBrL7_LrgCn How many large cans of normal strength beer, lager, stout or cider did you drink that day?

1..97


SCNBrL7_Bttles How many bottles of normal strength beer, lager, stout or cider did you drink that day?

1..97


SCNBrL7_Schn How many schooners of normal strength beer, lager, stout or cider did you drink that day?

1..97


SBrL7 Still thinking about last ^WhichDay, how much strong beer, lager, stout or cider did you drink that day? Code measures that you are going to use. Probe if necessary. Code all that apply. Small cans = 330ml Large cans = 440ml Schooner = 2 thirds of a pint

SET [5] OF (1) Half pints (2) Small cans (3) Large cans (4) Bottles (5) Schooner

ASK IF: (1 IN SBrL7)

SBrL7_HP How many half-pints of strong beer, lager, stout or cider did you drink on that day?

1..97


SBrL7_SmlCn How many small cans of strong beer, lager, stout or cider did you drink on that day?

1..97


SBrL7_LrgCn How many large cans of strong beer, lager, stout or cider did you drink on that day?

1..97


SBrL7_Bttles How many bottles of strong beer, lager, stout or cider did you drink on that day?

1..97


SBrL7_Schn How many schooners of strong beer, lager, stout or cider did you drink on that day?

1..97


SCSBrL7 Still thinking about last ^WhichDay, what measures of strong beer, lager, stout or cider did you drink that day? Record all measures that you consumed. Small cans = 330ml Large cans = 440ml Schooner = 2 thirds of a pint

SET [6] OF (1) Half pints (2) Pints (3) Small cans (4) Large cans (5) Bottles (6) Schooner

ASK IF: (1 IN SCSBrL7)

SCSBrL7_HP How many half-pints of strong beer, lager, stout or cider did you drink on that day?

1..97


SCSBrL7_Pints How many pints of strong beer, lager, stout or cider did you drink on that day?

1..97


SCSBrL7_SmlCn How many small cans of strong beer, lager, stout or cider did you drink on that day?

1..97


SCSBrL7_LrgCn How many large cans of strong beer, lager, stout or cider did you drink on that day?

1..97


SCSBrL7_Bttles How many bottles of strong beer, lager, stout or cider did you drink on that day?

1..97


SCSBrL7_Schn How many schooners of strong beer, lager, stout or cider did you drink on that day?

1..97

ASK IF: (3 in DrnkType)

SpirL7 Still thinking about last ^WhichDay, how much spirits or liqueurs, such as whisky, brandy, rum, vodka, advocaat or cocktails did you drink on that day? Code the number of singles - count doubles as two singles. nip/tot = 1 single. A miniature bottle = 2 singles. 1 bottle = 27 singles. Half a bottle = 14 singles.

1..97

ASK IF: (SpirL7 >= 1)

SpirWher ...and were those spirits consumed...

(1) in a licensed premises such as a pub, bar, restaurant or club (2) elsewhere such as at home or someone else's home (3) or both?

ASK IF: (SpirL7 >= 1) AND: (SpirWher = 1) OR (SpirWher = 3)

SpMeasLic Thinking about the spirits you consumed on a licensed premises such as a pub, bar, restaurant or club, were the spirits measured?

(1) Yes (2) No

ASK IF: (SpirL7 >= 1) AND: (SpirWher = 2) OR (SpirWher = 3)

SpMeasHme Thinking about the spirits consumed elsewhere, such as at home or someone else's home, were the spirits measured?

(1) Yes (2) No

ASK IF: (SpMeasLic = 1)

MeasureLC Thinking about the spirits consumed on a licensed premises, were they...

SET [4] OF (1) standard single measures of 25ml (2) measures of 35ml (3) standard double measures of 35ml (4) or another measure?

ASK IF: (SpMeasHme = 1)

MeasureHm Thinking about the spirits consumed elsewhere, were they...

SET [4] OF (1) standard single measures of 25ml (2) measures of 35ml (3) standard double measures of 35ml (4) or another measure?


ShryL7 Still thinking about last ^WhichDay, how much sherry or martini, including port, vermouth, Cinzano and Dubonnet did you drink on that day? Code the number of glasses. Sherry is usually drunk in small glasses. 1 bottle of fortified wine = 14 glasses. A schooner = 2 glasses.

1..97


SCShryL7 Still thinking about last ^WhichDay, how many glasses of Sherry or Martini, including Port, Vermouth, Cinzano and Dubonnet did you drink on that day? Code the number of glasses. Sherry is usually drunk in small glasses. 1 bottle of fortified wine = 14 glasses. A schooner = 2 glasses.

1..97


WineL7 Still thinking about last ^WhichDay, how much wine, including Babycham and Champagne, did you drink on that day? Code the number of glasses

1..97


SCWineL7 Still thinking about last ^WhichDay, how many glasses of wine, including Babycham and Champagne, did you drink on that day? Code the number of glasses

1..97

ASK IF: (5 IN DrnkType)

BWine2 Were those ...

(1) ...Small Glasses (approx. 125ml) (2) ...Standard Glasses (approx. 175ml) (3) ...Large Glasses (approx. 250ml) (4) …Bottles (spontaneous only) (5) …or Don't Know (spontaneous only)


PopsML7 Still thinking about last ^WhichDay, how much alcopops (ie.Smirnoff Ice, Bacardi Breezer, WKD, Metz) did you drink that day? Code measures that you are going to use Probe if necessary. Code all that apply. Small cans = 330ml Standard Bottles = 275ml Large Bottles = 700ml

SET [3] OF (1) Small cans (2) Standard Bottles (3) Large Bottles

ASK IF: (1 IN PopsML7)

PopsL7_SmlCn How many small cans of alcopops did you drink on that day?

1..97


PopsL7_StBttle How many standard bottles of alcopops did you drink on that day?

1..97


PopsL7_LgBttle How many large bottles of alcopops did you drink on that day?

1..97


SCPopsML7 Still thinking about last ^WhichDay, what measures of alcopops (ie.Smirnoff Ice, Bacardi Breezer, WKD, Metz) did you drink that day? Code all measures that you consumed.

Small cans = 330ml Standard Bottles = 275ml Large Bottles = 700ml

SET [3] OF (1) Small cans (2) Standard Bottles (3) Large Bottles

ASK IF: (6 IN SCPopsML7)

SCPopsL7_SmlCn How many small cans of alcopops did you drink on that day?

1..97


SCPopsL7_StBttle How many standard bottles of alcopops did you drink on that day?

1..97


SCPopsL7_LgBttle How many large bottles of alcopops did you drink on that day?

1..97

ASK IF: (Selfcom_Drk = 2)

EndDrSC Thank you for completing this section. Please return the laptop to the interviewer.


General Health Section

ASK ALL:

Intro1 Next I would like to ask you some more questions about your general health on behalf of the Office for National Statistics


ASK ALL:

HealIll Do you have any physical or mental health conditions or illnesses lasting or expected to last for 12 months or more?

(1) Yes (2) No

ASK IF: (HealIll = 1)

ImpCat Do any of these conditions or illnesses affect you in any of the following areas?

SET [10] OF (1) Vision (for example blindness or partial sight) (2) Hearing (for example deafness or partial hearing) (3) Mobility (for example walking short distances or climbing stairs) (4) Dexterity (for example lifting and carrying objects, using a keyboard) (5) Learning or understanding or concentrating (6) Memory (7) Mental Health (8) Stamina or breathing or fatigue (9) Socially or Behaviourally (for example associated with autism, attention deficit disorder or Asperger's syndrome (10) Other (please specify) (11) None of the above (spontaneous only)

ASK IF: (10 IN ImpCat)

ImpCatSpec Record other affected area(s). Verbatim recording

STRING[255]


RedAct Does your illness or disability/do any of your conditions or illnesses reduce your ability to carry out day-to-day activities?

(1) Yes, a lot (2) Yes, a little (3) Not at all


LMatter Earlier you said that you had a longstanding illness... What is the matter with you?

STRING[100]


LMatNum How many longstanding illnesses or infirmities does respondent have?

Enter number of longstanding complaints mentioned. If more than 6 - take the six that the respondent considers to be the most important

1..6

ASK IF: (LMatNum >= 1)

LMat What is the matter with respondent? Enter the first condition/symptom respondent mentioned

STRING[55]


ICD ICD coding for LMat.

Note that this is done by using a lookup of the value of LMat against the ICD coding frame. The ICD coding frame can be found in the supporting ‘Coding Frames’ documentation. Although the variable is collected as a string variable, it is converted to a 2 digit numeric variable for use in the dataset.

STRING[2]


LMat2 What is the matter with respondent? Enter the second condition/symptom respondent mentioned

STRING[55]


ICD2 ICD coding for LMat2.

Note that this is done by using a lookup of the value of LMat2 against the ICD coding frame. The ICD coding frame can be found in the supporting ‘Coding Frames’ documentation. Although the variable is collected as a string variable, it is converted to a 2 digit numeric variable for use in the dataset.

STRING[2]


LMat3 What is the matter with respondent? Enter the third condition/symptom respondent mentioned

STRING[55]




STRING[2]


LMat4 What is the matter with respondent? Enter the fourth condition/symptom respondent mentioned

STRING[55]




STRING[2]


LMat5 What is the matter with respondent? Enter the fifth condition/symptom respondent mentioned

STRING[55]




STRING[2]


LMat6 What is the matter with respondent? Enter the sixth condition/symptom respondent mentioned

STRING[55]




STRING[2]

ASK IF: In loop FOR i := 1 TO HHSize AND: (AxParent = QFamUnit.ParentA[i]) OR (AxParent = QFamUnit.ParentB[i]) AND: QTHComp.QHComp[i].DVAge < 16

Intro2 Next I would like to ask you some questions about your (other) child's general health on behalf of the Office for National Statistics



Genhlth How is ^AxChldNme 's health in general; would you say it is...

(1) very good, (2) good, (3) fair, (4) bad, (5) or very bad?


Illness Does ^AxChldNme have any physical or mental health conditions or illnesses lasting or expected to last for 12 months or more?

(1) Yes (2) No

ASK IF: (Illness = 1)

CHLimitAct Does ^AxChldNme 's condition or illness reduce their ability to carry out day-to-day activities?

(1) Yes, a lot (2) Yes, a little (3) Not at all

Use of Medical Services Section

ASK ALL:

Intro1 Next I would like to ask you some questions about your use of GP and hospital medical services on behalf of the Office for National Statistics


ASK ALL:

DocTalk During the 2 weeks ending yesterday, apart from any visit to a hospital, did you talk to a doctor for any reason at all, either in person or by telephone? Please exclude any consultations made on behalf of children under 16 and persons outside the household. You should enter details only if the respondent actually talked to the doctor. Exclude calls to pick up tablets or a prescription if did not talk to a doctor. Exclude social chats with a doctor who is a friend or relative. Exclude doctors seen abroad unless Forces doctors.

(1) Yes (2) No

ASK IF: (DocTalk = 1)

NChats How many times did you talk to a doctor in those 2 weeks? Please exclude any consultations made on behalf of children under 16 and persons outside the household.

1..9

ASK IF: ((NChats >= 1) AND (HHSize > 1))

WhsBhlf1 Consultation number one Thinking about the first consultation, on whose behalf was this consultation made?

(1) Respondent (2) Other member of household 16 or over

ASK IF: (WhsBhlf1 = 2)

ForPerNo1 Code who consultation was made for [Person numbers and ÂxAdltNme

from household grid]

@|(1) ÂxAdltNme[1]·· @|(2) ÂxAdltNme[2]·· @|(3) ÂxAdltNme[3]·· @|(4) ÂxAdltNme[4]·· @|(5) ÂxAdltNme[5]·· @|(6) ÂxAdltNme[6]·· @|(7) ÂxAdltNme[7]·· @|(8) ÂxAdltNme[8]·· @|(9) ÂxAdltNme[9]·· @|(10) ÂxAdltNme[10] @|(11) ÂxAdltNme[11] @|(12) ÂxAdltNme[12] @|(13) ÂxAdltNme[13] @|(14) ÂxAdltNme[14] @|(15) ÂxAdltNme[15] @|(16) ÂxAdltNme[16]

1..16

ASK IF: (NChats >= 1)

NHS1 Consultation number one Was this consultation...

(1) under the National Health Service (2) or paid for privately?

Private medical treatment is treatment which is paid for either by the respondent or by someone else (e.g. an employer, an insurance company providing medical insurance cover).

ASK IF: (NChats >= 1)

GP1 Consultation number one Was the doctor...

(1) a GP (i.e. a family doctor) (2) or some other kind of doctor?

ASK IF: ((NChats > 1) AND (HHSize > 1))

WhsBhlf2 Consultation number two Thinking about the second consultation, on whose behalf was this consultation made?






1..16

ASK IF: (NChats > 1)

NHS2 Consultation number two Was this consultation...




GP2 Consultation number two Was the doctor...



WhsBhlf3 Consultation number three Thinking about the third consultation, on whose behalf was this consultation made?






1..16


NHS3 Consultation number three Was this consultation...




GP3 Consultation number three Was the doctor...



WhsBhlf4 Consultation number four Thinking about the fourth consultation, on whose behalf was this consultation made?






1..16


NHS4 Consultation number four Was this consultation...




GP4 Consultation number four Was the doctor...


ASK IF: ((NChats > 4) AND (HHSIZE > 1))

WhsBhlf5 Consultation number five Thinking about the fifth consultation, on whose behalf was this consultation made?






1..16


NHS5 Consultation number five Was this consultation…




GP5 Consultation number five Was the doctor...



WhsBhlf6 Consultation number six Thinking about the sixth consultation, on whose behalf was this consultation made?






1..16


NHS6 Consultation number six Was this consultation...




GP6 Consultation number six Was the doctor...



WhsBhlf7 Consultation number seven Thinking about the seventh consultation, on whose behalf was this consultation made?






1..16


NHS7 Consultation number seven Was this consultation...




GP7 Consultation number seven Was the doctor...



WhsBhlf8 Consultation number eight Thinking about the eighth consultation, on whose behalf was this consultation made?






1..16


NHS8 Consultation number eight Was this consultation...




GP8 Consultation number eight Was the doctor...



WhsBhlf9 Consultation number nine On whose behalf was this consultation made?






1..16


NHS9 Consultation number nine Was this consultation...




GP9 Consultation number nine Was the doctor...


ASK ALL: *Note that the date ^DM3MTH below is derived within Blaise, and refers to the 3 months prior to the interview month

OutPatnt During the last three months, that is since ^DM3MTH, did you attend as a patient at the casualty or outpatient department of a hospital (apart from straightforward ante- or post-natal visits)? Include - visits to private hospitals and private clinics, minor injuries units and walk-in centres. Exclude - doctors seen abroad unless forces doctors. Exclude - day patients (those admitted to a hospital bed or day ward, but not required to remain overnight).

(1) Yes (2) No

ASK IF: (OutPatnt = 1) *Note that the date ^DM1MTH below is derived within Blaise, and refers to the month prior to the interview month

NTimes1 How many times did you attend in ^DM1MTH?

0..97

ASK IF: (OutPatnt = 1) *Note that the date ^DM2MTH below is derived within Blaise, and refers to the second month prior to the interview month


0..97

ASK IF: (OutPatnt = 1) *Note that the date ^DM3MTH below is derived within Blaise, and refers to the third month prior to the interview month


0..97

ASK IF: (OutPatnt = 1)

NTimesOp So, in total you attended as a patient at the casualty or outpatient department of a hospital [NTimes1 + NTimes2 + NTimes3] times - is that correct? If incorrect, go back and change NTimes1, Ntimes2 or Ntimes3.

(1) Yes (2) No

ASK IF: (OutPatnt = 1)

Casualty Was this visit/Were any of these visits to the Casualty department or was it/were they all to some other part of the hospital?

(1) At least one visit to Casualty (2) No Casualty visits

ASK IF: (Casualty = 1)

NCasVis (May I just check), How many times did you go to Casualty altogether?

1..31

ASK IF: (OutPatnt = 1) *Note that the months ^DM3MTH, ^DM2MTH and ^DM1MTH below are derived within Blaise, and refers to the three months prior to the interview month

PrVists Was your outpatient or casualty visit/Were any of your outpatient or casualty visits during ^DM3MTH, ^DM2MTH and ^DM1MTH made under the NHS, or was it/were any of them paid for privately?

(1) All under NHS (2) At least one paid for privately

ASK IF: (PrVists = 2)

NPrVists May I just check, how many of the visits were paid for privately?

1..31

ASK IF: Respondent is the parent of a child in the household aged < 16 (computed in Blaise via household grid)

Intro2 Next I would like to ask you some questions about your (other) child's use of medical services on behalf of the Office for National Statistics


ASK: For each child aged < 16 in the household for whom the respondent is a parent

CHDocTalk During the 2 weeks ending yesterday, apart from any visit to a hospital, did ÂxChldNme talk to a doctor for any reason at all, or did you or any other member of the household talk to a doctor on his/her behalf? Include telephone consultations and consultations made on behalf of child. Include being seen by a doctor at a school clinic, but exclude visits to a child welfare clinic run by a local authority.

(1) Yes (2) No

ASK IF: (CHDocTalk = 1)

CHNChats How many times did ÂxChldNme talk to the doctor (or you or any other member of the household consult the doctor on ÂxChldNme 's behalf) in those 2 weeks?

1..9

ASK IF: (CHNChats >= 1)

CHNHS1 Consultation number one Thinking about the first consultation, was this consultation...

(1) Under the National Health Service (2) or paid for privately?


ASK IF: (CHNChats >= 1)

CHGP1 Consultation number one Was the doctor...

(1) GP (i.e. a family doctor) (2) or some other kind of doctor?

ASK IF: (CHNChats > 1)

CHNHS2 Consultation number two Thinking about the second consultation, was this consultation...




CHGP2 Consultation number two Was the doctor...



CHNHS3 Consultation number three Thinking about the third consultation, was this consultation...




CHGP3 Consultation number three Was the doctor...



CHNHS4 Consultation number four Thinking about the fourth consultation, was this consultation...




CHGP4 Consultation number four Was the doctor... Running prompt



CHNHS5 Consultation number five Thinking about the fifth consultation, was this consultation...




CHGP5 Consultation number five Was the doctor... (1) GP (i.e. a family doctor) (2) or some other kind of doctor?


CHNHS6 Consultation number six Thinking about the sixth consultation, was this consultation...




CHGP6 Consultation number six Was the doctor...



CHNHS7 Consultation number seven Thinking about the seventh consultation, was this consultation...




CHGP7 Consultation number seven Was the doctor...



CHNHS8 Consultation number eight Thinking about the eighth consultation, was this consultation...




CHGP8 Consultation number eight Was the doctor...



CHNHS9 Consultation number nine Thinking about the ninth consultation, was this consultation...




CHGP9 Consultation number nine Was the doctor...


ASK IF: HHSIZE >= 1 AND: In loop FOR i := 1 TO HHSIZE AND: (AxParent = QFamUnit.ParentA[i]) OR (AxParent = QFamUnit.ParentB[i]) AND: QTHComp.QHComp[i].DVAge < 16

CHOutPatnt During the months of ^DM3MTH, ^DM2MTH and ^DM1MTH, did ÂxChldNme attend as a patient at the casualty or outpatient department of a hospital? Include minor injuries units and walk-in centres.

(1) Yes (2) No

ASK IF: (CHOutPatnt = 1)

CHNTimes1 How many times did ÂxChldNme attend in ^DM1MTH?

0..97



0..97



0..97


CHCasualty Was this visit/were any of these visits to the Casualty department or was it/were they all to some other part of the hospital?

(1) At least one visit to Casualty (2) No Casualty visits

ASK IF: (CHCasualty = 1)

CHNCasVis (May I just check), How many times did ÂxChldNme go to Casualty altogether?

1..31

Country Coding Frame

Code Country4 Afghanistan8 Albania

10 Antarctica12 Algeria16 American Samoa20 Andorra24 Angola28 Antigua and Barbuda31 Azerbaijan32 Argentina36 Australia40 Austria44 The Bahamas48 Bahrain50 Bangladesh51 Armenia52 Barbados56 Belgium60 Bermuda64 Bhutan68 Bolivia70 Bosnia and Herzegovina72 Botswana74 Bouvet Island76 Brazil84 Belize86 British Indian Ocean Territory90 Solomon Islands92 British Virgin Islands96 Brunei

100 Bulgaria104 Myanmar (Bhurma)108 Burundi112 Belarus116 Cambodia120 Cameroon124 Canada132 Cape Verde136 Cayman Islands140 Central African Republic144 Sri Lanka148 Chad152 Chile156 People's Republic of China158 Taiwan162 Christmas Island166 Cocos (Keeling) Islands


Code Country170 Columbia174 Comoros175 Mayotte (Mahore)178 Congo180 Democratic Republic of Congo184 Cook Islands188 Costa Rica191 Croatia192 Cuba203 Czech Republic204 Benin (Dahomey)208 Denmark212 Dominica214 Dominican Republic218 Ecuador222 El Salvador226 Equatorial Guinea231 Ethiopia232 Eritrea233 Estonia234 Faroe Islands238 Falkland Islands239 South Georgia and the South Sandwich Islands242 Fiji246 Finland248 Aland Islands250 France254 French Guiana258 French Polynesia260 French Southern Territories262 Djibouti266 Gabon268 Georgia270 The Gambia275 Occupied Palestinian Territories276 Germany288 Ghana292 Gibralta296 Kiribati300 Greece304 Greenland308 Grenada312 Guadeloupe316 Guam320 Guatemala324 Guinea328 Guyana


Code Country332 Haiti334 Heard Island and McDonald Islands336 Vatican City (Holy See)340 Honduras344 Hong Kong348 Hungary352 Iceland356 India360 Indonesia364 Iran368 Iraq372 Ireland (Eire)376 Israel380 Italy384 Ivory Coast (Cote D'Ivoire)388 Jamaica392 Japan398 Kazakhstan400 Jordan404 Kenya408 North Korea410 South Korea414 Kuwait417 Kyrgystan418 Laos422 Lebanon426 Lesotho428 Latvia430 Liberia434 Libya438 Leichtenstewin440 Lithuania442 Luxembourg446 Macao450 Madagascar454 Malawi458 Malaysia562 Maldives466 Mali470 Malta474 Martinique478 Mauritania480 Mauritius484 Mexico492 Monaco496 Mongolia498 Moldova


Code Country499 Montenegro500 Montserrat504 Morocco508 Mozambique512 Oman516 Namibia520 Nauru524 Nepal528 Netherlands530 Netherlands Antilles531 Curacao533 Aruba534 St Maarten (Dutch part)535 Bonaire, St Eustatius and Saba540 New Caledonia548 Vanuatu554 New Zealand558 Nicaragua562 Niger566 Nigeria570 Niue574 Norfolk Island578 Norway580 Northern Mariana States581 United States Minor Outlying Islands583 Micronesia584 Marshall Islands585 Palau586 Pakistan591 Panama598 Papua New Guinea600 Paraguay604 Peru608 Philippines612 Pitcairn, Henderson, Duci ans Oeno Islands616 Poland620 Portugal624 Guinea-Bissau626 East Timor630 Puerto Rico634 Qatar638 Reunion642 Romania643 Russia (Russian Federation)646 Rwanda652 St Barthelemy654 St Helena


Code Country659 St Kitts and Nevis660 Anguilla662 St Lucia663 St Martin (French part)666 St Pierre and Miquelon670 St Vincent and the Grenadines674 San Marino678 Sao Tome and Principe682 Saudi Arabia686 Senegal688 Serbia690 Seychelles694 Sierra Leone702 Singapore703 Slovakia704 Vietnam705 Slovenia706 Somalia710 South Africa716 Zimbabwe728 South Sudan729 Sudan732 Western Sahara740 Surinam744 Svalberd and Jan Mayen748 Swaziland752 Sweden756 Switzerland760 Syria762 Tajikistan764 Thailand768 Togo772 Tokelau776 Tonga780 Trinidad and Tobago784 United Arab Emirates788 Tunisia792 Turkey795 Turkmenistan796 Turks and Caicos Islands798 Tuvalu800 Uganda804 Ukraine807 Macedonia818 Egypt831 Guernsey832 Jersey


Code Country833 Isle of Man834 Tanzania840 United States of America (USA)850 United States Virgin Islands854 Burkina Faso858 Uruguay860 Uzbekistan862 Venezuela876 Wallis and Futuna882 Samoa887 Yemen891 Vojvodina894 Zambia901 Sovereign Base Areas Overseas Territory (Cyprus, EU)902 Cyprus (Non-EU), Turkish Cypriot State903 Cyprus not otherwise specified911 Spain (excluding Canary Islands)912 Canary Islands913 Spain (not specified whether mainland or Canary Islands)921 England922 Northern Ireland923 Scotland924 Wales925 Great Britain not otherwise specified926 United Kingdom not otherwise specified931 Channel Islands not otherwise specified951 Kosovo971 Czechoslovakia not otherwise specified972 Soviet Union (USSR) not otherwise specified973 Yugoslavia not otherwise specified974 Serbia and Montenegro not otherwise specified981 Europe not otherwise specified982 Africa not otherwise specified983 Middle East not otherwise specified984 Asia (excluding Middle East) not otherwise specified985 North America not otherwise specified986 Central America not otherwise specified987 South America not otherwise specified988 Caribbean989 West Indies990 Antarctica and Oceania not otherwise specified991 At Sea992 In the Air

Nationality Coding Frame

Code Nationality1 British and Irish2 Irish and Northern Irish3 Irish and English4 Afghan5 Irish and Scottish6 Irish and Welsh7 British, Irish and Northern Irish8 Albanian9 British, Irish and English

10 British, Irish and Scottish11 British, Irish and Welsh12 Algerian13 Irish, Northern Irish and English14 Irish, Northern Irish and Scottish15 Irish, Northern Irish and Welsh16 American Samoan17 Irish, English and Scottish18 Irish, English and Welsh19 Irish, Scottish and Welsh20 Andorran21 British, Irish, Northern Irish and English22 British, Irish, Northern Irish and Scottish23 British, Irish, Northern Irish and Welsh24 Angolan25 British, Irish, English and Scottish26 British, Irish, English and Welsh27 British, Irish, Scottish and Welsh28 Antiguan and Barbudan29 Antiguan30 Barbudan31 Azerbaijani32 Argentinian33 Irish, Northern Irish, English and Scottish34 Irish, Northern Irish, English and Welsh35 Irish, Northern Irish, Scottish and Welsh36 Australian37 Australian Aboriginal38 Irish, English, Scottish and Welsh39 British, Irish, Northern Irish, English and Scottish40 Austrian41 British, Irish, Northern Irish, English and Welsh42 British, Irish, Northern Irish, Scottish and Welsh43 British, Irish, English, Scottish and Welsh44 Bahamian45 Irish, Northern Irish, English, Scottish and Welsh46 British, Irish, Northern Irish, English, Scottish and Welsh48 Bahraini


Code Nationality50 Bangladeshi51 Armenian52 Barbadian56 Belgian60 Bermudian64 Bhutanese68 Bolivian69 Bosnian70 Bosnian and Herzegovinian71 Herzegovinian72 Motswana76 Brazilian84 Belizean86 Chagos Islander (Chagossian)90 Solomon Islander92 British Virgin Islander96 Bruneian

100 Bulgarian104 Burmese108 Burundian112 Belarusian116 Cambodian120 Cameroonian124 Canadian132 Cape Verdean136 Caymanian140 Central African144 Sri Lankan148 Chadian152 Chilean156 Chinese158 Taiwanese162 Christmas Islander166 Cocos Islander170 Columbian174 Comoran175 Mahoran178 Congolese (Congo)179 Congolese (not otherwise specified)180 Congolese (Democratic Republic of Congo)184 Cook Islander188 Costa Rican191 Croatian192 Cuban203 Czech204 Beninese208 Danish


Code Nationality212 Dominican (Dominica)214 Dominican (Dominican Republic)218 Ecuadorian222 Salvadorian226 Equitorial Guinean231 Ethiopian232 Eritrean233 Estonian234 Faroese238 Falkland Islander242 Fijian 246 Finnish248 Aland Islander250 French254 Guianese258 French Polynesian262 Djiboutian266 Gabonese268 Georgian270 Gambian275 Palestinian276 German288 Ghanaian/Ghanian292 Gibraltese296 I-Kiribati300 Greek304 Greenlander308 Grenadian312 Guadeloupean316 Guamanian320 Guatemalan324 Guinean (Guinea)325 Guinean (not otherwise specified)326 Gurkha328 Guyanan/Guyanese332 Haitian333 Haredi340 Honduran344 Hong Kong Chinese348 Hungarian352 Icelandic356 Indian360 Indonesian364 Iranian368 Iraqi372 Irish376 Israeli


Code Nationality380 Italian384 Ivorian388 Jamaican392 Japanese393 Jewish398 Kazakhstani400 Jordanian404 Kenyan408 Korean (North Korea)409 Korean (not otherwise specified)410 Korean (South Korea)414 Kuwaiti417 Kyrgyzstani418 Laotian422 Lebanese426 Basotho428 Latvian430 Liberian434 Libyan438 Leichtensteiner440 Lithuanian442 Luxembourger446 Macao Chinese450 Madagascan/Malagasy454 Malwian458 Malaysian462 Maldivian466 Malian470 Maltese474 Martinique French478 Mauritanian480 Mauritian484 Mexican492 Monacan496 Mongolian498 Moldovian499 Montenegrin500 Montserratian504 Moroccan508 Mozambican512 Omani516 Namibian520 Nauruan524 Nepalese528 Dutch530 Dutch Antillean533 Aruban


Code Nationality540 New Caledonian548 Ni-Vanuatu554 New Zealander555 Maori558 Nicaraguan562 Nigerian (Niger)564 Nigerian (not otherwise specified)566 Nigerian (Nigeria)570 Niuean574 Norfolk Islander578 Norwegian580 Northern Mariana Islander583 Micronesian584 Marshallese585 Paluan586 Pakistani591 Panamanian598 Papua New Guinean600 Paraguayan604 Peruvian608 Filipino612 Pitcairn Islander616 Polish620 Portuguese624 Guinean (Guinea-Bissau)626 East Timorese630 Puerto Rican634 Qatari638 Reunion French642 Romanian643 Russian646 Rwandan652 St Batholemy French654 St Helenian657 Kittetian658 Nevisian659 Kittetian and Nevisian660 Anguillan662 St Lucian663 St Martin French670 St Vincent and the Grenadines674 Sammarinese678 Sao Tomean682 Saudi Arabian686 Senegalese688 Serbian690 Seychellois


Code Nationality694 Seirra Leonean702 Singaporean703 Slovak/Slovakian704 Vietnamese705 Slovenian706 Somali707 Somalilander710 South African716 Zimbabwean732 Sahraouian/Sahrawi/Sahrawian736 Sudanese740 Surinamese744 Svalberd and Jan Meyen Islander748 Swazi752 Swedish756 Swiss760 Syrian762 Tajikistani764 Thai768 Togolese772 Tokeluan776 Tongan780 Trinidadian and Tobagonian781 Trinidadian782 Tobagonian784 Emirati788 Tunisian792 Turkish795 Turkmenistani796 Turks and Caicos Islander798 Tuvaluan800 Ugandan804 Ukrainian807 Macedonian818 Egyptian831 Guernsey Islander832 Jersery Islander833 Manx834 Tanzanian840 US Citizen850 US Virgin Islander854 Burkinabe858 Uruguayan860 Uzbekistani862 Venezuelan876 Wallis and Futuna Islander877 Wallisian


Code Nationality878 Futun882 Samoan887 Yemeni894 Zambian901 Greek Cypriot902 Turkish Cypriot903 Cypriot912 Canary Islander913 Spanish914 Basque915 Frisian916 Breton921 English922 Northern Irish923 Scottish924 Welsh926 British927 Cornish929 British Overseas Territory Citizen931 Channel Islander932 Ulster Scots933 Gaelic935 Romany941 English and Welsh942 English and Scottish943 English and Northern Irish944 English and British945 Welsh and Scottish946 Welsh and Northern Irish947 Welsh and British948 Scottish and Northern Irish949 Scottish and British950 Northern Irish and British951 Kosovan955 English, Welsh and Scottish956 English, Welsh and Northern Irish957 English, Welsh and British958 English, Scottish and Northern Irish959 English, Scottish and British960 English, Northern Irish and British961 Welsh, Scottish and Northern Irish962 Welsh, Scottish and British963 Welsh, Northern Irish and British964 Scottish, Northern Irish and British965 English, Welsh, Scottish and Northern Irish966 English, Welsh, Scottish and British967 English, Welsh, Northern Irish and British


Code Nationality968 English, Scottish, Northern Irish and British969 Welsh, Scottish, Northern Irish and British970 English, Welsh, Scottish, Northern Irish and British971 Czechoslovakian972 Soviet973 Yugoslav974 Serbian and Montenegrin980 Arab (not otherwise specified)981 European (not otherwise specified)982 African (not otherwise specified)983 Middle Eastern (not otherwise specified)984 Asian (not otherwise specified)985 North American (not otherwise specified)986 Central American (not otherwise specified)987 South American (not otherwise specified)988 Caribbean (not otherwise specified)989 Australasian (not otherwise specified)998 Mixed999 Other

Illness/condition ICD CodeAbcess - brain 8Abcess - breast 33Abcess - groin 39Abcess - larynx 25Abdominal hernia 26Abdominal rupture 26Abdominal trouble 27Absence - eye 9Absence - kidney 30Absence - limb 36Accoustic neuroma 1Ache - Arm 36Ache - back 35Ache - ear 14Ache - head 7Ache - limbs 36Achilles tendon - problem 36Acid stomach 27Acne 39Addiction - alcohol 4Addiction - drug 4Addison's disease 3Adenoid problems 25Adhesions (nes) 40After effect - cancer (nes) 1After effect - meningitis (nes) 41After effect - polio 36Age (old) (nes) 41Agoraphobia 4AIDS 3AIDS carrier 3Alcoholism 4Allergic asthma 23Allergic reaction (nes) 41Allergic rhinitis 24Allergy - animal fur (nes) 25Allergy - causing asthma 23Allergy - drugs (nes) 41Allergy - dust (nes) 25Allergy - food 27Allergy - skin 39Allergy -(nes) 41Alopecia 40Alzheimer's disease 8Anaemia - pernicious 38Anaemia - sickle cell 38Anaemia -(nes) 38Aneurysm 21Angelman syndrome 5

Illness/condition ICD CodeAngina 16Angio-oedema 39Anorexia nervosa 4Anxiety 4Aorta replacement 18Aortic aneurysm 21Aortic stenosis 18Apoplexy 15Appendix (grumbling) 28Arm - pain 36Arterial thrombosis 21Arteriosclerosis (nes) 21Artesia - biliary 27Arthritis - Rheumatoid 34Arthritis -(any site) 34Arthropathy 34Artificial arteries (nes) 21Asbestosis 25Asperger's disease/syndrome 4Aspergillosis 37Asphyxia 41Asthma - allergic 23Asthma - bronchial 23Asthma - cardiac 18Asthma -(nes) 23Astigmatism 10Ataxia - Friedreich's 8Athlete's foot 37Atrial fibrillation 18Attack - heart 16Attack - panic 4Attention Deficit 4Autism 4Back ache 35Back trouble 35Bad chest 25Bad eyesight 9Bad leg 36Balance problem - due to inner ear 13Balance problem -(nes) 18Baldness 40Barrett's ulcer or syndrome 27Beckwith-Wiedemann Syndrome 3Bed Wetting 32Behcet syndrome 37Bell's Palsy 8Biliary artesia 27Birthmark 39Blackouts 6

Illness/condition ICD CodeBladder complaint 32Bladder problems 32Bladder restriction 32Bleeding - Nose 40Blindness - colour 10Blindness - night 10Blindness -(nes) 9Blocked artery (nes) 21Blood - Clot (nes) 21Blood - condition 38Blood - deficiency 38Blood - pressure high 17Blood - pressure low 21Blood - pressure(nes) 17Blood - thickening 38Blurred vision 9Boils 39Bowel - incontinent 28Bowel - inflamed 28Bowel - irritable 28Bowel - polyp 28Brain damage 8Brain haemorrhage 15Breakdown - nervous 4Breathless -(not anaemia, angina, hole 25Brittle bones 36Broken - limb 36Broken - nose 36Broken - rib 36Bronchial trouble 25Bronchiectasis 22Bronchitis 22Buerger's disease 21Bulimia 4Bulosa 39Bunion 36Buphthalmos 10Burned arm (nes) 39Bursitis 36Byssinosis 25Callous 39Cancer (any site) 1Candida 37Carbuncle 39Carcinoma (any site) 1Cardiac diffusion 18Cardiac problem 18Carpal tunnel syndrome 8Cartilage problem 36

Illness/condition ICD CodeCatalepsy 4Cataract 9Catarrh 25Cellulitis (nes) 39Cerebral embolism 15Cerebral haemorrhage 15Cerebral palsy 8Cerebral thrombosis 15Cerebro-vascular accident 15Cervical spondylitis 35Charcot-Marie-Tooth disease 8Chest infection 25Chest pains (nes) 18Chest trouble (nes) 25Chilblains 39Cholesterol - high 18Cholesterol - too much in blood 18Chondrodystrophia 36Christmas disease 38Chronic bronchitis 22Chronic fatigue syndrome 8Chronic renal failure 30Circulation - poor 21Cirrhosis - liver 27Claudication - intermittent 21Claw hand 36Cleft palate 29Club foot 36Coeliac disease 3Cold (common) 25Colitis - ulcerative 28Colitis -(nes) 28Collapse -Knee cap 36Collapse -lung 25Colobola 10Colon trouble 28Colostomy - for cancer 1Colostomy -(nes) 28Colour blind 10Concussion syndrome 4Confused (mental) 4Conjunctivitis 10Constipation 28Contraction - Dupuytren's 36Contraction - Sinews 36Convulsions 6Corn 39Cornea - scarred 10Corneal ulcer 10

Illness/condition ICD CodeCoronary thrombosis 16Cough - Whooping 37Cough -(nes) 25Cracked nipple 33Cramp - limb 36Crohn's disease 28Croup 25Curvature - spine 35Cushing's syndrome 3Cyst (any site) 1Cystic fibrosis 3Cystic hygroma 1Cystic kidney 30Cystitis 31Damage - brain 8Damage - kidney 30Damage - lung 25Damage - spine (excl paralysis ) 35Damage - testicles 33Deaf and dumb 11Deafness - conductive 11Deafness - nerve 11Deafness -(nes) 11Deficiency - blood 38Deficiency - hormone 3Dementia - senile 4Depression 4Dermatitis 39Detached retina 9Deviated septum 36Diabetes 2Diarrhoea 28Difficulty - swallowing 27Difficulty - walking (nes) 36Diffusion - cardiac 18Disc trouble 35Discharge - ear 14Discoid lupus erythematosus 37Disease - Addison's 3Disease - Alzheimer's 8Disease - Christmas 38Disease - Coeliac 3Disease - Crohn's 28Disease - degenerative brain 8Disease - Graves 3Disease - Hashimoto's 3Disease - heart 18Disease - Hirschsprung's 28Disease - Hodgkin's 1

Illness/condition ICD CodeDisease - Ischaemic heart 18Disease - liver 27Disease - Meniere's 13Disease - motor neurone 8Disease - Paget's 36Disease - Parkinson's 8Disease - Pelvic inflamm (Female) 33Disease - Perthe's 36Disease - Raynaud's 21Disease - Schlatter's 36Disease - Schuermann's 35Disease - Sever's 36Disease - Sickle cell 38Disease - Still's 34Disease - Takayasu's 21Disease - valvular heart 18Disease - venereal 37Dislocation - disc 35Dislocation - neck 35Dislocation - other site 36Dislocation - spine 35Disseminated lupus 36Disseminated sclerosis 8Diverticulitis 28Dizziness 18Double hernia 26Double kidney 30Double vision 10Down's syndrome 5Drug addiction 4Dry eye syndrome 10Duanes syndrome 10Dumb - and deaf 11Dumb -(nes) 40Duodenal ulcer 26Dupuytren's contraction 36Dwarfism 3Dyslexia 4Dysmenorrhea 33Dyspepsia 27Dystonia 8Dystrophy - muscular 8Dystrophy - myotonic 8Ear - causing balance problems 13Ear - drum - perforated (nes) 14Ear - glue 14Ear - noises in 12Earache 14Eczema - varicose 20

Illness/condition ICD CodeEczema -(nes) 39Embolism - cerebral 15Embolism - pulmonary 21Emotional disturbance 4Emphysema 22Encephalitis 8Encephalomyelitis - myalgic 8Encopresis 28Endomentriosis 33Eneuresis 32Enteritis 28Epidermolysis 39Epilepsy 6Eustachian tube - disorder of 14Eye - dry 10Eye - infection 10Eye - lazy 10Eye - light sensitive 10Eye - sty 10Eye - watery 10Eyesight - bad 9Eyesight - poor 9Fabry (Anderson) disease 3Faecal incontinence 28Failure - heart 18Failure - renal 30Fainting (nes) 40Fallopian tubes - problem 33Febrile convulsions 6Feeling - loss of (in extremities) 8Fibrillation - ventricular 18Fibroids 33Fibromyalgia 34Fibrosis - cystic 3Fibrosis - lung 25Fibrositis 34Finger ligament - problem 36Fit - coughing 25Fit - Jacksonian 6Fit -(nes) 6Flashbacks 4Flat feet 36Floater-eye 10Fluid - on brain 8Fluid - on lung 25Fluid - retention 3Food allergy 27Forgetfulness 4Fracture (nes) - disc 35

Illness/condition ICD CodeFracture (nes) - neck 35Fracture (nes) - other site 36Fracture (nes) - spine 35Freiberg's disease 36Friedreich's ataxia 8Frozen shoulder 36Fungal infection of nail 37Gall bladder problems 27Gallstone 27Gangrene 21Gastric ulcer 26Giddiness 18Gingivitis 29Glandular fever 37Glaucoma 10Glbert's syndrome 3Glue ear 14Goitre 3Good pasture's sydrome 30Gout 3Grand mal 6Graves 3Growth (any site) 1Guillain-Barre syndrome 8Gullet - twisted 27Gynaecological problems 33Haemophilia 38Haemorrhage - cerebral 15Haemorrhage - eye 10Haemorrhoids 19Hair - falling out (nes) 40Handicap - mental 5Handicap - physical - spasticity 8Handicap - physical (nes) 36Hardening - arteries (nes) 21Hardening - arteries in heart 18Hardening - lens 9Hare lip 29Harley's disease 38Hashimoto's disease 3Hayfever 24Headaches 7Hearing - poor 11Heart - attack 16Heart - burn 27Heart - complaint 18Heart - disease 18Heart - failure 18Heart - murmur 18

Illness/condition ICD CodeHeart - trouble 18Hemiplegia 15Hepatitis (viral) 37Hepatitis B 37Hepatitis C 37Hernia - abdominal 26Hernia - diaphragm 26Hernia - double 26Hernia - hiatus 26Hernia - inguinal 26Hernia - umbilical 26Hernia -(nes) 26Herpes 37Hiatus hernia 26High blood pressure 17High cholesterol 18Hip infection 36Hip replacement (nes) 36Hirschsprung's disease 28HIV positive 3Hodgkin's disease 1Hole in heart 18Hormone deficiency 3Horseshoe kidney 30Housemaid's knee 36Huntington's chorea 8Hydrocephalus 8Hyperactive child 4Hypercalcemia 3Hypergammaglobulinemia 38Hyperglycemia 2Hypersensitive to cold 21Hypertension 17Hypopotassaemia 3Hypotension 21Hysterectomy - for cancer 1Hysterectomy -(nes) 33ibrillation - atrial 18Ileostomy 27Impacted wisdom tooth 29Impediment - speech 15Impediment - speech(nes) 4Impetigo 39Implant - lens 9Implant - pacemaker 18Impotence 33Incontinence - bladder 32Incontinence - bowels 28Incontinence - faecal 28

Illness/condition ICD CodeIncontinence - urine 32Incontinence -(nes) 32Indigestion 27Industrial respiratory disease 25Infection - chest 25Infection - ear 14Infection - eye 10Infection - fungal of nail 37Infection - hip 36Infection - throat 25Infection - urinary tract 31Infertility 33Inflammation - bowel 28Inflammation - duodenum 27Inflammation - spinal joint 35Inflammation - tendon 36Ingrown toenail 39Injury - brain 8Injury - eye 10Injury - limb 36Injury - neck (excl paralysis) 35Injury - spine (excl paralysis) 35Insomnia 40Intermittent claudication 21Iritis 10Irritable bowel 28Irritation of skin 39Ischaemic heart disease 18Jacksonian fit 6Kidney - cystic 30Kidney - disease 30Kidney - disease 30Kidney - horseshoe 30Kidney - stone 30Kidney - trouble 30Kneecaps - problem 36Knees - ligaments 36Knees - problem 36Labyrinthitis 13Laminectomy (nes) 35Laurence - Moon(-Biedl) syndrome 30Lazy eye 10Leaf rash 39Learning difficulty/disability 5Leg - one shorter 36Lens - hardening 9Lens - implant 9Leucodystrophy - metachromatic 8Leukaemia 1

Illness/condition ICD CodeLigament - finger 36Ligament - knees 36Ligament - torn 36Limbs - ache 36Limp (nes) 36Liver disease 27Liver problems 27Loss of - balance (nes) 18Loss of - balance inner ear 13Loss of - eye 9Loss of - feeling (in extremity) 8Loss of - kidney 30Loss of - limb 36Loss of - lung 25Loss of - sense of smell 40Loss of - sense of taste 29Low blood pressure 21Lumbago 35Lump (any site) 1Lung - collapsed 25Lung - complaint (nes) 25Lung - damaged (nes) 25Lung - farmer's 25Lung - pigeon fancier's 25Lung - problems (nes) 25Lymphoma 1Malacia 3Malaria 37Malformed jaw 36Manic depressive 4Mass (any site) 1Mastectomy (nes) 1Mastitis 33Mastoiditis 14ME 8Meniere's disease 13Menopause 33Mental disorder 4Mental handicap 5Mental illness 4Mental retardation 5Metachromatic leucodystrophy 8Microcephaly 8Migraine 7Mitral stenosis 18Mongol 5Motor neurone disease 8Mouth ulcer 29MS 8

Illness/condition ICD CodeMultiple sclerosis 8Murmur - heart 18Muscle - torn 36Muscle - wastage (nes) 36Muscular dystrophy 8Myalgic encephalomyelitis 8Myasthenia gravis 8Myocardial infarction 16Myopia 9Myotonia (nes) 36Myotonic dystrophy 8Myxoedema (nes) 3Narcolepsy 8Nasal polyps 25Neoplasm (any site) 1Nephritis 30Nephrotic syndrome 30Nerve - removal (in limb) 8Nerve - trapped 8Nerves (nes) 4Nervous anxiety 4Nervous breakdown 4Nervous stomach 27Nervous trouble 4Neuralgia - trigeminal 8Neuralgia -(nes) 8Neurasthenia 4Neuritis 8Neurofibromatosis 1Neuroma - accoustic 1Neuropathy 8Night blindness 10Nipple - cracked 33Noise - deafness 11Noise -in ear 12None of these 99Nose bleeds 40Numbness - limbs 36Numbness (in extremity) 8Obesity 3Obsessive Compulsive syndrome 4Oedema 3One leg shorter than other 36Osler-Rendu disease 21Osteo-arthritis 34Osteomyelitis 36Osteoporosis 36Otitis media 14Otosclerosis 11

Illness/condition ICD CodeOveractive thyroid 3Pacemaker implant 18Paget's disease 36Pain - arm 36Pain - back 35Pain - chest (nes) 18Pain - joint 36Palpitations 18Palsy - Bell's 8Palsy - cerebral 8Pancreas problems 27Panic attacks 4Paralysis - agitans 8Paralysis - vocal cords 25Paralysis -(nes) 8Paraplegia 8Parkinson's disease 8Partially paralysed - due to stroke 15Partially paralysed -(nes) 8Partially sighted 9Pelvic bones - pins 36Pelvic inflamm. disease (female) 33Peptic ulcer 26Perforated - eardrum (nes) 14Pericarditis 18Period problems 33Peritonitis 27Pernicious anaemia 38Personality disorder 4Perthe's disease 36Petit mal 6Pharyngitis 25Phenylketonuria 3Phlebitis 20Phobia 4Physically handicapped (nes) 36Pierre Robin syndrome 36Pigeon fancier's lung 25Piles 19Pilonidal sinusitis 39Pins - Pelvis 36Pins and needles in limb 8Pleurisy 25PMT 33Pneumoconiosis 25Polio (nes) 36Polyarteritis Nodosa 21Polyarthritis 34Polycthaemia 38

Illness/condition ICD CodePolycystic ovary syndrome 33Polymyalgia rheumatica 34Polyp - bowel 28Polyp - nasal 25Poor circulation 21Poor eyesight 9Poor hearing 11Post Polio syndrome 8Post traumatic stress 4Post viral syndrome (ME) 8Prader-Willi syndrome 5Premenstrual tension 33Problem - achilles tendon 36Problem - adenoid 25Problem - bladder 32Problem - cardiac 18Problem - cartilage 36Problem - ear (nes) 14Problem - Fallopian tubes 33Problem - finger ligament 36Problem - gall bladder 27Problem - gynaecological 33Problem - inner ear (nes) 14Problem - kneecaps 36Problem - knees 36Problem - liver 27Problem - lung (nes) 25Problem - middle ear 14Problem - pancreas 27Problem - period 33Problem - psychiatric 4Problem - weight 3Prolapse - inverterbral disc 35Prolapse - womb 33Prolapse -(nes 33Prostate gland trouble 33Psoriasis 39Psychiatric - problem 4Psychpathic 4Pulmonary embolism 21Purpura (nes) 38Pyelonephritis 30Rash - leaf 39Rash - skin (nes) 39Raynaud's disease 21Reflux esophagitis 27Removal - for cancer (nes) 1Removal - knee cap 36Removal - lymph gland (nes) 38

Illness/condition ICD CodeRemoval - nerve (in limb) 8Removal - spleen 38Renal failure 30Renal TB 30Replacement - aorta 18Replacement - hip (nes) 36Restless legs 8Restriction - bladder 32Restriction - vision 9Retardation - mental 5Retention - fluid 3Retention - water 3Retina - detached 9Retina - scarred 9Retinitis pigmentosa 10Rheumatism 34Rheumatoid arthritis 34Rhinitis - allergic 23Rhinitis -(nes) 25Rickets 3Ringworm 37Rodent ulcer 1RSI/Repetitive Strain Injury 34Rupture - abdominal 26Rupture -(nes) 26Sarcoidosis 37Sarcoma (any site) 1Scarred cornea 10Scarred retina 9Schizophrenia 4Schlatter's disease 36Schuermann's disease 35Schwachmann-Diamond syndrome 41Sciatica 8Sclerosis - arterial (nes) 21Sclerosis - disseminated 8Sclerosis - multiple 8Sclerosis - systemic 36Scoliosis 35Senile dementia 4Septicemia 37Sever's disease 36Shingles 8Short sighted 9Sick sinus syndrome 18Sickle cell anaemia 38Sickle cell disease 38Sinus - pilonidal 39Sinus - sick 18

Illness/condition ICD CodeSinus - trouble 25Sinusitis 25Sjorgrens syndrome 36Skin - irritation (nes) 39Skin - rash (nes) 39Skin - ulcer 39Sleep apnea 25Sleep walking 40Smell - no sense of 40Sore throat 25Spastic - colon 28Spastic -(nes) 8Speech impediment - due to stroke 15Speech impediment -(nes) 4Spina bifida 8Spondylitis 35Spondylosis 35Squint 10St Vitus dance 18Stammer 4Stenosis - aortic 18Stenosis - mitral 18Stevens - Johnson syndrome 39Still's disease 34Stomach trouble (nes) 27Stone - gall bladder 27Stone - kidney 30Stress 4Stroke 15Sty on eye 10Subnormal 5Swallowing - difficulty 27Swollen glands (nes) 41Swollen legs (nes) 21Syndrome - Beckwith-Wiedemann 3Syndrome - Behcet 37Syndrome - Carpal tunnel 8Syndrome - Concussion 4Syndrome - Cushing's 3Syndrome - Down's 5Syndrome - dry eye 10Syndrome - Duanes syndrome 10Syndrome - Gilbert's 3Syndrome - Good pasture's 30Syndrome - Guillain-Barre 8Syndrome - Laurence-Moon(-Biedl) 30Syndrome - Pierre Robin 36Syndrome - post viral (ME) 8Syndrome - sick sinus 18

Illness/condition ICD CodeSyndrome - Sjorgrens 36Syndrome - Stevens - Johnson 39Syndrome - Turner's 33Syndrome - Wolff-Parkinson-White 18Syndrome - Wright's 21Syringomyelia 8Systemic sclerosis 36Tachycardia 18Takayasu disease 21Taste - no sense of 29TB - abdomen 37TB - hip 36TB - limb 36TB - pulmonary 37TB - renal 30Teeth 29Telangiectasia (nes) 21Tendinitis 36Tennis elbow 36Tenosynovitis 36Testicles - damaged 33Tetanus 37Thalassaemia 38Throat - (nes) 25Throat - difficulty swallowing 27Throat - infection 25Throat - irritation 25Throat - sore 25Thrombocythemia (essential) 38Thrombosis - arterial 21Thrombosis - cerebral 15Thrombosis - coronary 16Thrombosis -(nes) 21Thrush 37Thyroid 3Thyrotoxicosis 3Tinnitus 12Tired heart 18Tiredness 41Tongue ulcer 29Tonsillitis 25Torn ligament 36Torn muscle 36Toxoplasmosis (nes) 37Trapped nerve 8Travel sickness 40Trouble - abdominal 27Trouble - back 35Trouble - colon 28

Illness/condition ICD CodeTrouble - ear (nes) 14Trouble - eye (nes) 9Trouble - heart 18Trouble - kidney 30Trouble - nervous 4Trouble - prostate gland 33Trouble - sinus 25Trouble - stomach 27Trouble - tear duct 10Trouble - throat - difficulty swallowing 27Trouble - throat- (nes) 25Trouble - water (nes) 32Tube - Eustachian (disorder) 14Tube - kidney (damage) 30Tumour (any site) 1Tunnel vision 9Turner's syndrome 33Typhoid fever 37Ulcer - corneal 10Ulcer - duodenal 26Ulcer - gastric 26Ulcer - limb (nes) 39Ulcer - Lung 25Ulcer - mouth 29Ulcer - peptic 26Ulcer - rodent 1Ulcer - skin 39Ulcer - stomach 26Ulcer - tongue 29Ulcer - varicose 20Ulcer -(nes) 26Underactive thyroid 3Uraemia 30Urinary tract infection 31Urine infection 31Vaginitis 33Valvular heart disease 18Varicose eczema 20Varicose ulcer 20Varicose veins - Anus 19Varicose veins - Lower Extremities 20Varicose veins - Oesophagus 21Varicose veins -(nes) 20Venereal disease 37Ventricular fibrillation 18Verruca 39Vertigo 13Vestibulitis 13Vibration white finger 34

Illness/condition ICD CodeVision - blurred 9Vision - double 10Vision - restricted 9Vision - tunnel 9Vulvitis 33Wart 39Wastage - muscle 36Water - retention 3Water - trouble (nes) 32Watery eye 10Weak bladder 32Weak chest 25Weak heart 18Weak legs 36Weakness in intestines 27Weight problem 3Wheezy (nes) 25Whooping cough 37Wilms tumour 1Wilson's disease 3Wolff-Parkinson-White syndrome 18Worn disc 35Wright's syndrome 21

Statistical Bulletin

Office for National Statistics | 1

Adult Health in Great Britain, 2012Coverage: GBDate: 01 April 2014Geographical Area: RegionTheme: Health and Social Care

Key findings in 2012:

• Unemployed people (those out of work but looking for work) were almost twice as likely as thosein employment to have a limiting long-standing illness or disability (17% compared with 9%)

• People with higher incomes were less likely than those on lower incomes to have a limiting long-standing illness or disability. In 2012, just 6% of those with an income of £50,000 or more had alimiting long-standing illness or disability, compared with 30% of those with an income of up to£10,000.

• As expected, health was strongly associated with age. In 2012, 67% of those aged 75 and overhad a long-standing illness or disability. This compared with 14% of those aged 16 to 24.

• People from white ethnic groups were almost twice as likely as those from non-white ethnicgroups to have a limiting long-standing illness or disability (20% compared with 11%).

• People living in Wales (26%) were most likely to have a limiting long-standing illness or disability,when compared with other regions of Great Britain.

About this report

This is the final Opinions and Lifestyle Survey report using the 2012 data, following the SmokingHabits Amongst Adults, 2012 and Drinking Habits Amongst Adults, 2012 reports. This report focuseson the prevalence of long-standing illness or disability in Great Britain, and how it varies by differentgroups of society.

The Opinions and Lifestyle reports follow on from the General Lifestyle reports, which endedfollowing publication of the 2011 data.

http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/smoking-habits-amongst-adults--2012/index.html


http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/drinking-habits-amongst-adults--2012/index.html

Adult Health in Great Britain, 2012 | 01 April 2014


Prevalence of Long-Standing Illnesses or Disabilities in 2012

In 2012, 34% of adults living in Great Britain said that they had a long-standing illness or disability(LSI), and 19% said that they had a limiting LSI (that is, an LSI that limits activity in any way). Theseproportions have remained relatively consistent since 2005.

Age, Gender and Prevalence of LSIs

As expected, the prevalence of LSIs and limiting LSIs was closely associated with age, with higherprevalence amongst older people, Fig 1. To give an indication of the strength of this relationship,LSI prevalence amongst those aged 75 and over (67%) was almost five times higher than amongstthose aged 16 to 24 (14%). Limiting LSI prevalence was eight times higher amongst those aged 75and over (48%) than amongst those aged 16 to 24 (6%).

Figure 1: Prevalence of Long-Standing Illness or Disability, by Age, 2012

Source: Opinions and Lifestyle Survey - Office for National Statistics

Download chart

XLS format(25 Kb)

Our analysis shows that on average an increase in age of one year was associated with a 3%increased risk of having an LSI, and a 2% increased risk of having a limiting LSI.

http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/adult-health-in-great-britain--2012/chd-fig-1.xls



There was little difference in LSI or limiting LSI prevalence between men and women, regardless ofage. However once other factors such as income and employment status have been accounted for,women were 12% less likely than men to have an LSI, and 19% less likely to have a limiting LSI.

Work and Prevalence of LSIs

For those of working age, unemployed people (that is, those not working but looking for work) werealmost twice as likely as employed people to have a limiting LSI (17% compared with 9%), Fig 2.They were also more likely to have an LSI (31% compared with 22%). Findings from the LabourForce Survey have also shown that throughout 2012 the unemployment rate was higher amongstthose with a long-standing health problem or disability (216 Kb Excel sheet) than amongst thosewithout.

Figure 2: Prevalence of Limiting Long-Standing Illness or Disability Amongst People ofWorking Age, by Employment Status, 2012


Notes:1. International Labour Organisation (ILO) definitions of employment status have been used.2. Unemployed people are those who are not currently working, but who are looking for work.3. Economically inactive people are those who are neither currently working, nor looking for work (for example retired

people or students).

http://www.ons.gov.uk:80/ons/rel/lms/labour-market-statistics/february-2014/table-a08.xls

http://www.ons.gov.uk:80/ons/rel/lms/labour-market-statistics/february-2014/table-a08.xls



Download chart

XLS format(25 Kb)

People of working age who were economically inactive (that is, neither in work nor looking for work)had the highest prevalence of LSIs (42%) and limiting LSIs (31%). Economic inactivity is related toage. However, further analysis suggests that prevalence was still highest amongst economicallyinactive people once other factors, such as age and income, have been accounted for.

Income and Prevalence of LSIs

The higher a person’s gross income, the lower the likelihood was that they had an LSI or limitingLSI, Fig 3. However, for those belonging to income groups beyond £30,000 a year no significantchanges in the prevalence of LSIs or limiting LSIs were observed.

Figure 3: Income and Prevalence of Limiting Long-Standing Illness or Disability, 2012


Notes:1. Uses annual gross personal income




Download chart

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As noted earlier having a LSI/limiting LSI is closely related to a person’s age. There is also arelationship between age and income, income tends to increase with age. However, if we removethe affect of other factors such as age and economic activity, higher incomes remain associated witha lower risk of having an LSI or limiting LSI. For example, a person was on average 10% less likelyto have an LSI than someone who shared their characteristics, but had half their income. They werealso on average 14% less likely to have a limiting LSI.

Relationships and Health

LSI prevalence was higher amongst those who were widowed/divorced/separated (54%) andmarried (35%) than it was amongst those who were single (23%) or cohabiting (25%). Howeverwidowed/divorced/separated and married people tend to be older than those who are single orcohabiting. If we remove the affect of factors such as age, then there was little difference in LSI andlimiting LSI prevalence by relationship status.

Ethnicity and Health

LSI prevalence was higher amongst those from white ethnic groups than it was amongst thosefrom non-white ethnic groups (36% compared with 21%). Limiting LSI prevalence amongst thosefrom white ethnic groups was almost double the prevalence amongst those from non-white ethnicgroups (20% compared with 11%). This is still true when factors such as age and income have beenaccounted for, although the difference between the groups is smaller.

Health by Region

Limiting LSI prevalence was lowest in London (15%) when compared with other regions of GreatBritain, as was LSI prevalence (27%). However our analysis suggests that once other factors suchas age, income and ethnicity have been accounted for, prevalence in London was no lower thanmost other regions.

Wales had the highest prevalence of limiting LSIs, at 26%, compared with other regions of GreatBritain. This remains true once other factors, such as age, income and ethnicity have beenaccounted for. Prevalence in other regions ranged from 15% to 22%.

Smoking and Health

Smokers (23%) and ex-smokers (26%) were more likely to have a limiting LSI than those who hadnever smoked (15%), Fig 4. There were also variations in the prevalence of LSIs and limiting LSIswithin the group of smokers, with increased prevalence associated with heavier smoking.




Figure 4: Prevalence of Limiting Long-Standing Illness or Disability, by Smoking Status, 2012


Notes:1. Light smokers are those who smoke up to 10 cigarettes per day, moderate smokers 10 up to 20 cigarettes per day

and heavy smokers 20 or more cigarettes per day.

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XLS format(25.5 Kb)

Effects of Physical and Mental Health Conditions Lasting (or Expected to Last)12 Months or More

Respondents were asked whether they had any physical or mental health conditions lasting (orexpected to last) 12 months or more. Those who reported conditions were then asked how theseaffected their functioning.

Generally, physical health conditions were more prevalent than mental health conditions. However,there was little difference in the proportions whose vision (4.1%), memory (3.8%) or mental health(3.6%) were affected by physical or mental health conditions lasting (or expected to last) 12 monthsor more, Fig 5.




Mobility (13%) and stamina, breathing or susceptibility to fatigue (9%) were most commonly affectedby physical or mental health conditions.

Figure 5: Effects of Physical and Mental Health Conditions Lasting for 12 Months or More,2012


Notes:1. Includes conditions that are expected to last for 12 months or more.

Download chart

XLS format(26 Kb)

As expected, the likelihood of having a physical health condition increased with age (see referencetables, table 3). The likelihood of experiencing conditions which affected memory also increasedwith age, but this was not the case with other kinds of mental health conditions. It is known thatlife expectancy is lower amongst those who experience mental health issues, with some studiessuggesting that the gap could be as wide as 20 years. This could explain in some part why thelikelihood remains stable with age.


http://www.ons.gov.uk:80/ons/external-links/articles-and-summaries/articles/bmj-life-expectancy.html



The recent ONS publication Disability-free life expectancy at birth, and at ages 50 and 65 by ClinicalCommissioning Groups, England, 2010-2012 provides more information on disability-free lifeexpectancy.

Background notes

1. Change in survey vehicle

In 2012, the survey vehicle for collecting health data changed from the General Lifestyle Survey(GLF) to the Opinions and Lifestyle Survey (OPN).

The OPN uses the same initial approach to sampling as the GLF. That is, a random sampleof addresses is drawn from the Postcode Address File (PAF). Initially, a sample of postcodesectors is drawn, and from within those, a list of addresses is chosen. The design means thatevery address and every person in Great Britain has an equal chance of selection. The PAF isordered by region and other socio-demographic indicators provided by the census. Orderingthe PAF helps to ensure the sample represents the general population of Great Britain. GLFanalysis was based on four waves of longitudinal data, weighted to produce cross-sectionalestimates. The OPN only produces cross-sectional estimates.

Both the OPN and GLF surveys use Computer Aided Personal Interviewing (CAPI). Interviewersvisit sampled addresses and interview respondents with the aid of a laptop. Face to faceinterviewing helps to maximise participation in the survey, which is around 60% of sampledaddresses for both surveys.

All of the trends reported on in this release are based on the same questions previously includedon GLF. Therefore, no trend changes will have been introduced as a result of changing questionwording.

After data collection, the results are 'weighted' to ensure they represent the general populationof Great Britain. The approach to weighting is the same for both surveys. Firstly, an adjustmentis made to account for those respondents who chose not to take part in the surveys (or, forOPN, the chances of selection within a household - see 'What are the differences?', below).Secondly, the samples are grossed up to total the GB population, taking account of the age andgender profile of the population, as well as the distribution of people across Local Authorities.

What are the differences?

The primary difference between these two surveys is the approach to interviewing residentsof sampled addresses. The GLF aimed to interview all residents in the household aged 16 orabove. The OPN only interviews one person aged 16 or above in each sampled household.The OPN randomly selects a resident for interview, thus reducing the potential for selectionbias. Despite a different approach to within household sampling selection, the achievednumber of interviews is broadly the comparable between the two surveys. The GLF achievedapproximately 13,500 adult interviews per year compared to approximately 13,000 adultinterviews per year on the OPN.

http://www.ons.gov.uk:80/ons/rel/census/2011-census-analysis/disability-free-life-expectancy-at-birth--at-age-50-and-at-age-65--clinical-commissioning-groups--ccgs--2010-12/index.html

http://www.ons.gov.uk:80/ons/rel/census/2011-census-analysis/disability-free-life-expectancy-at-birth--at-age-50-and-at-age-65--clinical-commissioning-groups--ccgs--2010-12/index.html



There was a reduction in the number and detail of questions migrated from the GLF to the OPN.Details of the questions that were moved from the GLF to the OPN are provided in Appendix Aof the Future of the GLF (108.9 Kb Pdf) update.

What do these differences mean for comparability?

Every effort has been made to minimise the potential for discontinuity between the results fromthe two surveys. Our analysis shows that the results of the OPN are comparable with those ofthe GLF.

The reduction in achieved sample size has not led to significant loss in precision. Theconfidence intervals around key estimates, such as the proportion of adults in Great Britain whohad a long-standing illness or disability, are comparable between the GLF and OPN. Resultshave been found to follow the same patterns by various socio-demographic characteristicssuch as age, gender and employment status. The comparability of these estimates is deemedsufficient to make comparisons between 2012 and previously reported results.

However, the reduction in questions asked on topics covered by the GLF has led to adiscontinuation of some outputs. For example, in the case of smoking, the age at which peoplestarted smoking is no longer reported on, as the source data is not collected on the OPN.Similarly, questions on tobacco dependency were no longer asked from January 2012.

2. Comparisons between groups

Where comments state that two groups are different, the differences have been tested forstatistical significance. Complex standard errors, taking into account the survey design, havebeen used for these tests.

Differences that have been commented on are significant at 5% level (it should be noted that notevery single statistically significant difference as been commented on).

3. Details of the policy governing the release of new data are available by visitingwww.statisticsauthority.gov.uk/assessment/code-of-practice/index.html or from the MediaRelations Office email: [email protected]

The United Kingdom Statistics Authority has designated these statistics as National Statistics, inaccordance with the Statistics and Registration Service Act 2007 and signifying compliance withthe Code of Practice for Official Statistics.

Designation can be broadly interpreted to mean that the statistics:

• meet identified user needs;• are well explained and readily accessible;• are produced according to sound methods; and• are managed impartially and objectively in the public interest.

http://www.ons.gov.uk:80/ons/about-ons/get-involved/consultations/archived-consultations/2011/the-future-of-the-glf-survey/update-to-the-future-of-the-glf-survey.pdf

http://www.statisticsauthority.gov.uk/assessment/code-of-practice/index.html

mailto:[email protected]



Once statistics have been designated as National Statistics it is a statutory requirement that theCode of Practice shall continue to be observed.

Copyright

© Crown copyright 2014

You may use or re-use this information (not including logos) free of charge in any formator medium, under the terms of the Open Government Licence. To view this licence, visitwww.nationalarchives.gov.uk/doc/open-government-licence/ or write to the Information Policy Team,The National Archives, Kew, London TW9 4DU, or email: [email protected].

This document is also available on our website at www.ons.gov.uk.

Statistical contacts

Name Phone Department EmailTom Howe +44 (0)1633 456330 Office for National

[email protected]

Issuing Body:Office for National Statistics

Media Contact Details:Telephone: 0845 604 1858(8.30am-5.30pm Weekdays)

Emergency out of hours (limited service): 07867 906553

Email:[email protected]


http://www.ons.gov.uk/



Table Title1 Self-Perception of General Health, 2005-20122 Self-Reported Prevalence of Long-Standing Illness or Disability, 2005-20123 Effects of Physical or Mental Health Conditions Lasting or Expected to Last for 12 Months or More, 20124 Prevalence of Long-Standing Illness or Disability, by Socio-Economic Classification, 20125 Prevalence of Long-Standing Illness or Disability, by Employment Status, 20126 Gross Personal Income and Prevalence of Long-Standing Illness or Disability, 20127 Relationship Status and Prevalence of Long-Standing Illness or Disability, 20128 Ethnicity and Prevalence of Long-Standing Illness or Disability, 20129 Prevalence of Long-Standing Illness or Disability, by Region, 2012

10 Prevalence of Long-Standing Illness or Disability, by Smoking Status, 2012

1 Self-Perception of General Health, 2005-2012

All persons aged 16 and over, Great Britain Percentages

2005 1 2 2006 2 3 2007 2 3 2008 3 2009 3 2010 3 2011 3 2012

Weighted Base 2012 (000s)

= 100%Unweighted

Sample 2012

34 33 34 39 40 39 34 39 48,463 12,52041 43 43 40 39 40 43 40 48,463 12,52018 17 17 16 15 15 18 15 48,463 12,520

6 5 5 4 5 5 5 4 48,463 12,5201 1 1 1 1 1 1 1 48,463 12,520

1

2

34

2005 estimates are based on data collected from April to December. Estimates from 2006 onwards are based on calendar years.There are potential exposure and order effects associated with the five category general health question prior to 2008. Particular care should therefore be taken when trying to make conclusions between periods before 2008 and those from 2008 onwards.Results from 2006 to 2011 include longitudinal data.All unweighted samples are rounded to the nearest 10.

Source: Opinions and Lifestyle Survey, General Lifestyle Survey and General Household Survey,Office for National Statistics

Very Bad

Very GoodGoodFairBad


2005 1 2006 2 2007 2 2008 2 2009 2 2010 2 2011 2 2012

Weighted base 2012 (000s) =

100%Unweighted

sample 2012 3

15 15 13 12 12 12 13 14 3,464 46024 23 22 20 20 19 22 20 8,120 1,65044 45 43 39 42 41 42 38 7,588 1,97057 63 60 58 60 58 59 56 2,631 90064 70 66 64 64 68 69 69 1,895 67036 37 36 34 35 34 36 33 23,698 5,660

17 16 17 16 16 17 21 15 3,377 53026 26 23 21 22 23 26 22 8,065 2,22043 44 41 38 39 40 41 39 7,853 2,15061 63 56 53 56 55 57 57 2,895 1,01064 70 65 68 67 68 67 66 2,575 96038 39 36 35 36 36 39 35 24,765 6,870

16 16 15 14 14 15 17 14 6,842 99025 24 23 20 21 21 24 21 16,185 3,87044 45 42 39 40 41 42 39 15,441 4,12059 63 58 56 58 56 58 57 5,526 1,92064 70 65 67 66 68 68 67 4,469 1,63037 38 36 34 35 35 37 34 48,464 12,520

7 6 6 6 7 7 5 7 3,464 46013 11 12 10 10 11 12 10 8,120 1,65026 23 25 22 25 23 24 20 7,588 1,97035 37 37 33 36 34 35 31 2,631 90044 47 47 45 42 45 44 48 1,895 67021 20 21 19 21 20 21 18 23,698 5,660

9 8 9 10 8 12 13 6 3,375 53014 13 13 11 13 13 14 11 8,065 2,22026 27 25 23 23 23 25 23 7,853 2,15038 39 36 34 35 34 37 31 2,895 1,01048 51 48 48 50 50 48 47 2,575 96023 24 23 21 22 23 24 20 24,763 6,870

8 7 7 8 7 9 9 6 6,839 99014 12 13 11 12 12 13 10 16,185 3,87026 25 25 23 24 23 25 21 15,441 4,12037 38 37 33 36 34 36 31 5,526 1,92046 50 48 46 47 48 47 48 4,469 1,63022 22 22 20 21 21 23 19 48,461 12,520

123

65-7475 and over

16-24

2 Self-Reported Prevalence of Long-Standing Illness or Disability, by Age and Gender, 2005-2012

Proportion with long-standing illness or disability

Men

All ages

25-4445-6465-7475 and overAll ages

Women16-2425-4445-64

75 and overAll ages

Proportion with limiting long-standing illness or disability

Men16-24

45-6465-7475 and overAll ages

25-44

All persons16-2425-4445-6465-74

All unweighted samples are rounded to the nearest 10.

All persons

45-6465-7475 and overAll ages

Women16-2425-44

16-2425-4445-6465-7475 and overAll ages

Source: Opinions and Lifestyle Survey, General Lifestyle Survey and General Household Survey,Office for National Statistics

2005 data includes the last calendar quarter of 2004, due to a change in reporting period from financial year to calendar year.Results from 2006-2011 include longitudinal data.

3 Effects of Physical or Mental Health Conditions Lasting for 12 Months or More, 2012 1 2


Vision Hearing Mobility Dexterity

Learning or ability to

understand or concentrate Memory

MentalHealth

Stamina, breathing or

susceptibilityto fatigue

Social skillsor

behaviourWeighted Base (000s) = 100%

Unweighted Sample 3

1 1 2 2 3 1 2 4 2 3,521 4701 1 5 3 1 2 4 4 1 8,228 1,6704 3 12 7 3 4 4 10 1 7,601 1,9708 11 22 10 2 6 2 17 0 2,650 910

17 25 40 19 6 15 1 26 0 1,924 6804 5 11 6 2 4 3 9 1 23,924 5,690

1 1 1 0 2 1 2 4 1 3,397 5301 1 5 3 2 2 5 5 1 8,162 2,2303 3 14 7 2 3 5 11 0 7,912 2,1708 8 28 13 3 5 3 16 0 2,898 1,010

15 17 41 19 3 11 2 20 0 2,614 9704 4 14 7 2 4 4 10 0 24,984 6,910

1 1 2 1 2 1 2 4 1 6,919 1,0001 1 5 3 2 2 4 5 1 16,390 3,9004 3 13 7 3 3 5 10 0 15,513 4,1308 9 25 12 3 5 2 17 0 5,548 1,920

16 21 41 19 4 13 2 23 0 4,538 1,6504 4 13 6 2 4 4 9 1 48,908 12,600

Source: Opinions and Lifestyle Survey, Office for National Statistics

123 All unweighted samples are rounded to the nearest 10.

Women

16 to 2425 to 44

45 to 6465 to 7475 and overAll ages

45 to 6465 to 74

Includes physical and mental health conditions that are expected to last for 12 months or more.

All ages

25 to 44

Affected areas

Men

16 to 24

People may have health conditions that affect them in more than one of the given areas.

45 to 6465 to 7475 and over

75 and overAll ages

All persons

16 to 2425 to 44


Managerial and professional occupations

Intermediate occupations

Routine and manual

occupations

25 26 3010 14 15

14,474 7,859 11,58114,474 7,859 11,578

3,580 2,010 2,8603,580 2,010 2,850


1

Unweighted samples 1

Long-standing illness or disability


4 Prevalence of Long-Standing Illness or Disability, by Socio-Economic Classification, 2012

Proportion with a long-standing illness or disability

Limiting long-standing illness or disability

Proportion with a limiting long-standing illness or disability

Weighted bases (000s) = 100%Long-standing illness or disabilityLimiting long-standing illness or disability

All persons aged 16 and over, Great Britain PercentagesIn

EmploymentILO

Unemployed 2Economically

Inactive 3

22 31 539 17 36

28,317 2,686 17,46028,317 2,686 17,458

6,580 630 5,3106,580 630 5,310


123




5 Prevalence of Long-Standing Illness or Disability, by

Employment Status, 2012 1

International Labour Organisation (ILO) definitions of employment status have been used.Unemployed people are those not currently working, but who are looking for work.Economically inactive people are those not working nor looking for work. This includes retired people and students.





6 Gross Personal Income and Prevalence of Long-Standing Illness or Disability, 2012 1


Up to£10,000

£10,000up to

£15,000

£15,000up to

£20,000

£20,000up to

£30,000

£30,000up to

£40,000

£40,000up to

£50,000£50,000or more

45 40 33 26 23 21 2230 26 17 11 8 7 6

14,184 7,766 5,638 7,275 3,868 2,017 2,87214,182 7,766 5,638 7,275 3,868 2,017 2,872

3,830 2,270 1,480 1,850 950 500 6903,830 2,270 1,480 1,850 950 500 690


1


Long-standing illness or disabilityLimiting long-standing illness or disability



Annual gross personal income covers only the income that an individual receives directly, before deductions for tax etc. Household income, to which an individual may have access, is not included.

Annual Gross Personal Income 1

Weighted bases (000s) = 100%

Proportion with a long-standing illness or disabilityProportion with a limiting long-standing illness or disability


Single Married 1 Cohabiting

Widowed / Divorced /

Separated 2

23 35 25 5413 19 12 36

11,666 24,215 5,541 7,03811,664 24,215 5,541 7,038

2,710 5,500 1,170 3,1402,710 5,500 1,170 3,140

Source: Opinions and Lifestyle Survey, Office for National Statistics]





7 Relationship Status and Prevalence of Long-Standing Illness or Disability, 2012

Includes those in a same-sex Civil Partnership.Includes those who had been in a same-sex Civil Partnership.




8 Ethnicity and Prevalence of Long-Standing Illness or Disability, 2012

All persons aged 16 and over, Great Britain

White ethnic groups

All Non-White ethnic groups Mixed

Asian or Asian British

Black or Black British

Chinese or other ethnic group

36 21 18 21 25 1720 11 8 12 13 7

42,845 5,614 607 2,749 1,056 1,20142,842 5,614 607 2,749 1,056 1,201

11,400 1,120 140 480 250 25011,400 1,120 140 480 250 250



Non-White ethnic groups

Weighted bases (000s) = 100%





9 Prevalence of Long-Standing Illness or Disability, by Region, 2012


NorthEast

NorthWest

Yorkshireand TheHumber

EastMidlands

WestMidlands

East ofEngland London

SouthEast

SouthWest England Scotland Wales

38 37 33 35 32 32 27 33 37 33 36 3920 22 19 18 18 18 15 19 21 19 21 26

2,119 5,542 4,260 3,580 4,270 4,708 6,233 6,838 4,275 41,825 4,238 2,4012,119 5,542 4,260 3,578 4,270 4,708 6,233 6,838 4,275 41,822 4,238 2,401

570 1,530 1,220 1,030 1,080 1,210 1,250 1,810 1,080 10,770 1,090 660570 1,530 1,220 1,020 1,080 1,210 1,250 1,810 1,080 10,770 1,090 660


1








10 Prevalence of Long-Standing Illness or Disability, by Smoking Status, 2012


Never Smoked

Ex-Smokers

All Non-Smokers

Light 1

SmokersModerate 2

SmokersHeavy 3

SmokersAll 4

Smokers

29 45 33 29 38 42 3515 26 18 18 24 28 23

28,524 10,038 38,562 3,745 4,232 1,860 9,89528,524 10,038 38,562 3,743 4,232 1,860 9,893

6,950 2,940 9,890 920 1,150 550 2,6306,950 2,940 9,890 920 1,150 550 2,630


1234

5

The unweighted sample of 'All Smokers' contains 15 people who are not included in any of the light, moderate or heavy smoker groups. These are people who said that they smoked, but did not specify how heavily they smoked.All unweighted samples are rounded to the nearest 10.

Non-Smokers Smokers

Up to 10 cigarettes per day.10 up to 20 cigarettes per day.



20 or more cigarettes per day.

Unweighted samples 4 5



Statistical Bulletin


Drinking Habits Amongst Adults,2012Coverage: GBDate: 17 December 2013Geographical Area: RegionTheme: Health and Social Care

Correction

A minor error was found in table 11 of the reference tables. This has impacted the proportionsof those who had never smoked and ex-smokers who consumed alcohol in the last week, whoconsumed alcohol on at least five days in the last week, and the proportions who exceeded specifieddrinking levels. The impact is minimal, with estimates changing by a maximum of two percentagepoints. Figure 11 and Figure 12 have been corrected as a result, as well as some of the quotedvalues in the 'Drinking and Smoking' section. under the 'Drinking in 2012' heading.

This was corrected at 15:45 on 12 March 2014.

Key points:

• In 2012 58% of adults (people aged 16 and over) living in private households in Great Britaindrank alcohol at least once in the week before being interviewed. This proportion has beendeclining both for men and women. Between 2005 and 2012 the proportion of men who drankalcohol in the week before being interviewed fell from 72% to 64%, and the proportion of womenfell from 57% to 52%.

• The proportion of adults who drank frequently (those who drank alcohol on at least five days inthe week before being interviewed) has also been declining. Between 2005 and 2012 there wasa fall from 22% to 14% in the proportion of men who were frequent drinkers, and from 13% to9% in the proportion of women. In 2012 people aged 65 and over were most likely to have drunkfrequently, both for men (23%) and women (14%).

• Young people (those aged 16-24) were more likely to have drunk very heavily (more than12 units for men and 9 units for women) at least once during the week (27%), with similar

Drinking Habits Amongst Adults, 2012 | 17 December 2013


proportions for men (26%) and women (28%). Only 3% of those aged 65 and over were veryheavy drinkers.

• Very heavy drinkers were five times more likely than other drinkers to have drunk strong beer/stout/lager/cider, and more than twice as likely to have drunk spirits or liqueurs, on their heaviestdrinking day in the week before interview.

• Smokers (25%) were more than twice as likely as non-smokers (11%) to have drunk very heavilyat least once during the week.

Why do these results matter?

The Department of Health estimates that the harmful use of alcohol costs the National HealthService in England around £3.5 billion a year and 8% of all hospital admissions involved an alcohol-related condition. Drinking can lead to over 40 medical conditions, including cancer, stroke,hypertension, liver disease and heart disease. Reducing the harm caused by alcohol is therefore apriority for the Government and the devolved administrations. Excessive consumption of alcohol isa major preventable cause of premature mortality with alcohol-related deaths accounting for 5.3%of all deaths in England and Wales in 2005. The Opinions and Lifestyle Survey (OPN), GeneralLifestyle Survey (GLF) and General Household Survey (GHS) are important sources for monitoringtrends in alcohol consumption.

These drinking data are widely used by universities and health organisations. The School of Healthand Related Research (ScHARR) at the University of Sheffield has used the data to carry outalcohol-related public health research. Public Health England also uses the data on drinking toestimate the proportion of deaths and illnesses that can be attributed to alcohol consumption.

Information on the proportion of men drinking more than eight units of alcohol in a day and womendrinking more than six units in a day is used as a proxy measure of binge drinking (known as heavyepisodic drinking). In particular it is used as an outcome measure for the Government's AlcoholStrategy.

The OPN, GLF and GHS have measured drinking behaviours for over 30 years. This releasepresents findings from these surveys on recent trends in drinking habits in Great Britain, andcompares the drinking habits of different groups of adults in 2012.

Trends in Drinking

In 2012 58% of adults1 in Great Britain (GB) drank alcohol in the week before being interviewed.There was a two percentage point fall for both men and women compared with 2011. This continuesthe general decline in the proportion of adults drinking in GB since 2005. The decline between 2011and 2012 was driven by the 25-44 age group. The proportion of men aged 25-44 who drank in thelast week fell from 67% to 63% between 2011 and 2012. In comparison there was a fall from 56% to50% in this proportion amongst women of the same age.

http://www.ons.gov.uk:80/ons/external-links/other-government-departments/nhs/alcohol-treatment-in-england-2011-12.html

http://www.ons.gov.uk:80/ons/external-links/organisations/the-burden-of-alcohol-related-ill-health---uk.html

http://www.shef.ac.uk/scharr

http://www.shef.ac.uk/scharr

http://www.ons.gov.uk:80/ons/external-links/other-government-departments/gov-uk/public-health-england.html

http://www.ons.gov.uk:80/ons/external-links/other-government-departments/gov-uk/government-s-alcohol-strategy.html




Over the eight year period between 2005 and 2012, men were consistently more likely than womento have drunk alcohol in the last week, Figure 1.

Figure 1: Drinking Frequency in the Last Week, by Gender, Great Britain, 2005-2012

Source: Opinions and Lifestyle Survey, General Lifestyle Survey, General Household Survey - Officefor National Statistics

Notes:1. Bases include all people aged 16 and over living in private households in Great Britain.

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11% of adults in GB were frequent drinkers (drank alcohol on at least five days in the week beforebeing interviewed) in 2012. Men were consistently more likely than women to be frequent drinkers.

There was a fall from 16% to 14% between 2011 and 2012 in the proportion of men whowere frequent drinkers. There was no change in the proportion of women who were frequentdrinkers (9%).

Those aged 16-44 were the main cause of the decline in the proportion of adults who drank in thelast week, and in the proportion of adults who were frequent drinkers, between 2005 and 2012.

http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/drinking-habits-amongst-adults--2012/chd-fig-1.xls



People were asked how much alcohol they drank on their heaviest drinking day in the last week(HDD). There was a decline between 2005 and 2012 in the proportion who exceeded 4/3 units ontheir HDD (that is, four units for men and three units for women), Figure 2. There was also a declinebetween 2005 and 2012 in the proportion who exceeded 8/6 units on their HDD (eight units is thethe same as four pints of normal strength lager, and six units the same as two large glasses ofwine). These falls were present in all age groups except those aged 65 and over.

Figure 2: Amount of Alcohol Drank on Heaviest Drinking Day in the Last Week, by Gender,2005-2012

Source: Opinions and Lifestyle Survey, General Lifestyle Survey, General Household Survey - Officefor National Statistics


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Notes for Trends in Drinking




1. Adults include all those aged 16 and over living in private households.

Drinking in 2012

Drinking in the Last Week

In 2012 58% of adults1 in Great Britain (GB) drank alcohol in the last week (the week beforeinterview). This proportion varied by different groups. Men (64%) were more likely than women(52%) to have drunk in the last week. This is true for all age groups apart from those aged 16-24.Men and women aged 16-24 were almost equally likely to have drunk in the last week, Figure 3.

Figure 3: Drinking in the Last Week, by Age and Gender, 2012



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The proportion who drank in the last week also varied by age. Those aged 16-24 were least likely tohave drunk in the last week (49%), and those aged 45-64 (65%) were most likely. However, when16 and 17 year olds are excluded, there is no difference between the proportions of 18-24 year oldsand those aged 65 and over who drank in the last week. The proportion of 16 and 17 year olds whosaid that they drank in the last week was low. This is most likely because in GB the legal age foralcohol purchases is 18.

A higher proportion of working adults (65%) drank in the last week than those who were not working(48%). This is in contrast to findings from the 'Opinions and Lifestyle Survey - Smoking HabitsAmongst Adults, 2012' publication, which found that the level of smoking prevalence in 2012 washighest amongst those who were unemployed (not working but looking for work).

Figure 4: Drinking in the Last Week, by Employment Status, 2012


Notes:1. Bases include all people aged 16 and over living in private households in Great Britain.2. International Labour Organisation definitions of employment status have been used. Unemployed people are

those not currently in work, but looking for work. Examples of economically inactive people are retired people andstudents.





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There was variation in the proportion of adults who drank in the last week between most ethnicgroups, Figure 5. Six out of 10 White adults drank in the last week, compared to aproximately twoout of 10 Asian and Asian British adults.

The proportion of people who don't drink at all (abstinence) is known to vary by ethnic group.Abstinence is highest amongst South Asians, particularly those from Pakistani, Bangladeshi andMuslim backgrounds. Abstinence is often influenced by religion which is closely associated withethnicity.

Figure 5: Drinking in the Last Week, by Ethnicity, 2005-2012



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http://www.ons.gov.uk:80/ons/external-links/organisations/jrf---ethnicity-and-alcohol.html




Adults living in London (51%) and the West Midlands (52%) were least likely to have drunk in thelast week when compared with other English regions. However in these regions a higher proportionof people are from non-white ethnic groups. Our analysis indicates that once other factors suchas ethnicity have been accounted for, adults in London were no less likely than those from otherEnglish regions to have drunk in the last week.

Frequent Drinkers

Adults who drank on five or more days in the week before interview have been classed as frequentdrinkers. In 2012 11% of all adults were frequent drinkers. The likelihood of being a frequent drinkerincreased with age, Figure 6. 3% of 16-24 year olds were frequent drinkers, increasing to 18% ofthose aged 65 and over. Men (14%) were more likely to be frequent drinkers than women (9%), andthis gap increased with age.

Figure 6: Frequent Drinkers, by Age and Gender, 2012


Notes:1. Bases include all people aged 16 and over living in private households in Great Britain.2. Frequent drinkers are those who drank alcohol on at least five days in the week before interview.



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Single adults were less likely than other adults to be frequent drinkers. However our analysis foundthat single people were more likely to be younger, and that this reduced the likelihood of a singleadult being a frequent drinker. When other factors, such as age, were accounted for, single adultswere no less likely than others to be frequent drinkers.

White adults (12%) were four times as likely as those from non-white ethnic groups (3%) to befrequent drinkers. This is consistent with drinking in the last week.

Heavy Drinking

Respondents were asked about their heaviest drinking day in the last week (HDD). They were askedabout the types and measures of alcoholic drinks consumed on that day. These drinks have beenconverted into units of alcohol based on assumed alcohol levels for each measure/type of drink(more information on this can be found in background note 3).

For the purposes of this release, those who drank in the week before interview and who drank morethan 8/6 units (that is, eight units for men and six units for women) on their HDD have been classedas heavy drinkers. Eight units is roughly equivalent to four pints of normal strength lager, and sixunits roughly equivalent to two large glasses of wine. Those who drank more than 12/9 units on theirHDD have been classed as very heavy drinkers. 12 units of alcohol is roughly equivalent to six pintsof normal strength lager, and nine units roughly equivalent to three large glasses of wine.

In 2012 a quarter of adult drinkers were heavy drinkers. Male drinkers (29%) were more likely tobe heavy drinkers than female drinkers (21%), regardless of age. The likelihood of being a heavydrinker decreased with age, Figure 7.




Figure 7: Heavy Drinking, by Age and Gender, 2012


Notes:1. Bases include all people aged 16 and over living in private households in Great Britain.2. Heavy drinkers include men who drank more than 8 units of alcohol at least once in the week before interview and

women who drank more than 6 units.

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Younger adults were less likely to have drunk frequently, but younger drinkers were more likely tohave drunk heavily. The opposite was true for older adults, who were more likely to have drunkfrequently, but older drinkers were less likely to have drunk heavily.

Economically inactive drinkers (such as students and retired people) were half as likely to be heavydrinkers (15%) when compared with drinkers who were in or looking for work (30%). Further analysisfound that economically inactive people tended to be older. When other factors such as age areaccounted for, drinkers who were economically inactive were no less likely than others to be heavydrinkers.




Single drinkers (39%) and cohabiting drinkers (36%) were more likely to be heavy drinkersthan married drinkers (19%) or widowed/divorced/separated drinkers (20%).

White drinkers were almost three times as likely to have been very heavy drinkers (14%) as non-white drinkers (5%).

Alcoholic Drinks Consumed

In 2012, 64% of female drinkers drank wine on their heaviest drinking day in the last week (HDD),making it the most popular type of drink amongst women. The exception was the 16-24 agegroup, where female drinkers showed a preference for spirits/liqueurs over wine. 59% of maledrinkers drank normal strength beer/lager/cider/shandy on their HDD. Normal strength beer/lager/cider/shandy was the most popular type of drink amongst all ages of male drinker. Amongstolder male drinkers the popularity of normal strength beer/lager/cider/shandy decreased and thepopularity of wine increased.

A small proportion of drinkers drank sherry/martini or alcopops on their HDD. 9% of femaledrinkers aged 65 and over drank sherry/martini on their HDD; a higher proportion than any otherage/gender group. In contrast drinkers aged 16-24 (8%) were more likely than those in other agegroups to have drank alcopops.

Very heavy drinkers were five times more likely than other drinkers to have drunk strong beer/stout/lager/cider, and over twice as likely to have drunk spirits or liqueurs, Figure 8. The difference inthe proportion who drank strong beer/stout/lager/cider was even greater for male drinkers, wherethe proportion was nearly six times higher amongst men who drank very heavily (28%) than it wasamongst other male drinkers (5%).



Figure 8: Alcoholic Drink Preferences of Very Heavy Drinkers, 2012


Notes:1. Bases include all people aged 16 and over living in private households in Great Britain who drank alcohol in the last

week.2. Very heavy drinkers include men who drank more than 12 units of alcohol at least once in the last week and women

who drank more than 9 units.3. Sherry/martini includes port, vermouth, Cinzano and Dubonnet.4. Wine includes champagne and babycham.5. Drink types relate to the types of drink consumed on respondents' heaviest drinking day in the week before

interview.

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Drinking and Health

In 2012 four out of five adults rated their general health positively (as either good or very good).However there was a relationship between self-reported health status and drinking habits. 83% ofadults who said that they drink alcohol nowadays rated their general health positively compared with




68% of adults who said that they do not. A contributing factor may be that people who rated theirhealth as bad or very bad may be unable to drink alcohol because of health issues.

Those who didn't drink at all and those who drank every day in the last week were least likely to ratetheir health positively, Figure 9.

Figure 9: Self-Reported Health and Drinking Frequency, 2012



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Adults' perceptions of heavy drinking levels are higher than the official measures. Adults whodrink more than 8/6 units on their HDD are considered binge (or heavy episodic) drinkers in theGovernment's Alcohol Strategy. Eight units is the same as four pints of normal strength lager,and six units is the same as two large glasses of wine. Whilst 14% of all adults in 2012 wereclassified as binge drinkers using this measure, less than 1% felt that they were heavy drinkers.





Adults' self reported health was also related to their self reported level of drinking. Adults who feltthat they drink heavily were less likely than other adult drinkers to rate their general health positively,Figure 10.

Only 56% of adults who felt that they drink heavily rated their general health positively, comparedwith 82% of other adults who said that they do drink, Figure 10.

Figure 10: Self-Assessed Drinking Habits and General Health, 2012



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Drinking and Smoking

Smokers have been grouped into light smokers (smoke on average up to 10 cigarettes per day),moderate smokers (10 up to 20 cigarettes per day) and heavy smokers (20 or more cigarettes perday).




Drinkers who smoked (25%) were more than twice as likely as those who did not smoke (11%) to bevery heavy drinkers, regardless of how much they smoked, Figure 11.Figure 11: Smoking and Very Heavy Drinking, 2012


Notes:1. Very heavy drinkers include men who drank more than 12 units of alcohol at least once in the last week, and

women who drank more than 9 units.2. Bases include all people aged 16 and over living in private households in Great Britain who drank alcohol in the last

week.

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Heavy smokers (21%) were most likely to have been frequent drinkers. They were almost twiceas likely as light smokers (11%) or moderate smokers (11%) to be frequent drinkers, Figure 12.Ex-smokers (18%) were also more likely than light or moderate smokers to have been frequentdrinkers, with those who have never smoked least likely (8%).




Figure 12: Smoking and Frequent Drinking, 2012


Notes:1. Bases include all people aged 16 and over living in private households in Great Britain who drank alcohol in the last

week.2. Frequent drinkers are those who drank alcohol on at least 5 days in the last week.

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Drinking During Pregnancy

Pregnant women aged 16-49 were far less likely than women who were not pregnant to have drunkin the last week. One in 10 pregnant women drank in the last week compared with five in 10 of allother women.

None of the pregnant women interviewed were frequent drinkers, compared with 5% of all otherwomen aged 16-49.

Notes for Drinking in 2012




1. Adults include all those aged 16 and over living in private households.

Background notes

1. Measuring Alcohol Consumption

Obtaining reliable information about drinking behaviour is difficult, and social surveysconsistently record lower levels of consumption than would be expected from data on alcoholsales. This is partly because people may consciously or unconsciously underestimate howmuch alcohol they drink. Drinking at home is particularly likely to be underestimated becausethe quantities consumed are less likely to have been measured and also more likely to be largerthan those dispensed in licensed premises.

There are different methods for obtaining survey information on drinking behaviour. Oneapproach is to ask people to recall all episodes of drinking during a set period (See Goddard E(2001) 'Obtaining information about drinking through surveys of the general population’ (275.9Kb Pdf), National Statistics Methodology Series NSM 24). However, this is time-consumingand is not suitable for the Opinions and Lifestyle Survey (OPN), where drinking is only one of anumber of subjects covered.

Since 1998 respondents have been asked questions about their drinking behaviour in the sevendays before interview. Specifically, people responding to the OPN are asked on how manydays they drank alcohol during the previous week. They are then asked how much of each ofsix different types of drink (normal strength beer; strong beer; wine; spirits; fortified wines; andalcopops) they drank on their heaviest drinking day during the previous week. These amountsare converted to units of alcohol and summed to give an estimate of the number of units therespondent consumed on their heaviest drinking day (see background note 3 for further detailsof the number of units assumed to be in each measure of each type of drink).

2. Change in survey vehicle

In 2012, the survey vehicle for collecting drinking data changed from the General LifestyleSurvey (GLF) to the Opinions and Lifestyle Survey (OPN).

The OPN uses the same initial approach to sampling as the GLF. That is, a random sampleof addresses is drawn from the Postcode Address File (PAF). Initially, a sample of postcodesectors is drawn, and from within those, a list of addresses is chosen. The design means thatevery address and every person in Great Britain has an equal chance of selection. The PAF isordered by region and other socio-demographic indicators provided by the census. Orderingthe PAF helps to ensure the sample represents the general population of Great Britain. GLFanalysis was based on four waves of longitudinal data, weighted to produce cross-sectionalestimates. The OPN only produces cross-sectional estimates.


http://www.ons.gov.uk:80/ons/guide-method/method-quality/specific/gss-methodology-series/gss-methodology-series--24--obtaining-information-about-drinking-through-surveys-of-the-general-population.pdf






After data collection, the results are 'weighted' to ensure they represent the general populationof Great Britain. The approach to weighting is the same for both surveys. Firstly, an adjustmentis made to account for those respondents who chose not to take part in the surveys (or, forOPN, the chances of selection within a household - see 'What are the differences?', below).Secondly, the samples are grossed up to total the GB population, taking account of the age andgender profile of the population, as well as the distribution of people across Local Authorities.


The primary difference between these two surveys is the approach to interviewing residentsof sampled addresses. The GLF aimed to interview all residents in the household aged 16 orabove. The OPN only interviews one person aged 16 or above in each sampled household.The OPN randomly selects a resident for interview, thus reducing the potential for selectionbias. Despite a different approach to within household sampling selection, the achievednumber of interviews is broadly the comparable between the two surveys. The GLF achievedapproximately 13,500 adult interviews per year compared to approximately 13,000 adultinterviews per year on the OPN.

There was a reduction in the number and detail of questions migrated from the GLF to the OPN.Details of the questions that were moved from the GLF to the OPN are provided in Appendix Aof the Future of the GLF (108.9 Kb Pdf) update.

As part of the OPN, respondents have also been given the option to record normal strengthbeer/lager/cider/shandy and strong beer/stout/lager/cider in measures of schooners. A schooneris a glass that contains two-thirds of a pint. When estimating the number of units of alcohol thata person drank, the units for schooners have been pro-rated to account for this difference insize.


Every effort has been made to minimise the potential for discontinuity between the results fromthe two surveys. Our analysis shows that the results of the OPN are comparable with those ofthe GLF.

The reduction in achieved sample size has not led to significant loss in precision. Theconfidence intervals around key estimates such as the proportion of adults in Great Britain whodrank alcohol in the last week are comparable between the GLF and OPN. Results have beenfound to follow the same patterns by various socio-demographic characteristics such as age,gender and employment status. The comparability of these estimates is deemed sufficient tomake comparisons between 2012 and previously reported results.

However, the reduction in questions asked on topics covered by the GLF has led to adiscontinuation of some outputs. For example, in the case of smoking, the age at which people




started smoking is no longer reported on, as the source data is not collected on the OPN.Similarly, questions on tobacco dependency were no longer asked from January 2012.

3. Recent changes in methodology

The conversion of volumes of alcoholic drinks to units of alcohol is based on assumptions aboutthe size of a given measure (for example, a glass of wine) and the alcohol content of the typeof drink, that is, the percentage of alcohol by volume (ABV). In recent years there have beenchanges to both of these factors and these have been reflected in revisions to the conversionmethod. The survey does not ask about the specific ABV of every alcoholic drink consumed butassumes an average for each type of drink. The revised method changed the number of unitsassumed to be in drinks in the ‘normal strength beer, lager and cider’ and ‘strong beer, lager andcider’ categories but the main impact was on drinks in the ‘wine’ category. Background note 3gives details of the number of units assumed to be in each measure of each alcoholic drink type.

The revised method had a large impact on the estimates of units of alcohol consumed fromwine because it changed both the assumed ABV of wine (from 9 to 12%) and the size of a glassof wine. Until 2006 a glass of wine was assumed to be 125 ml. Respondents are now askedwhether they have consumed small (125 ml), standard (175 ml) or large (250 ml) glasses ofwine. It is now assumed that a small glass contains 1.5 units, a standard glass contains 2 unitsand a large glass contains 3 units. Discussion of the impact of these changes on the estimatesof consumption can be found in the report on the 2009 data.

4. Assumed alcohol by volume (ABV) percentages for different types and measures ofalcoholic drink

Table 1, below, shows the assumed number of units of alcohol present in each measure of eachdrink type.

http://www.ons.gov.uk:80/ons/rel/ghs/general-lifestyle-survey/2009-report/index.html



Table 1: Units of Alcohol Assumed to be in an Alcoholic Drink, by Drink Type andMeasure, 2012

Drink Type Measure Units

Normal strength beer/lager/cider/shandy

Half Pint 1.0


Pint 2.0


Small Can 1.5


Large Can 2.0


Bottles 1.5


Schooners 1 1.3

Strong beer/stout/lager/cider

Half Pint 2.0


Pint 4.0


Small Can 2.0


Large Can 3.0


Bottles 2.0


Schooners 1 2.7

Spirits/liqueurs Standard single (25ml) 1.0

Spirits/liqueurs 35ml 1.5

Spirits/liqueurs Standard double (50ml) 2.0

Sherry/martini, includingport, vermouth, Cinzanoand Dubonnet

Glass 1.0

Wine, includingchampagne or babycham

Small Glass (125ml) 1.5


Medium Glass (175ml) 2.0



Drink Type Measure Units


Large Glass (250ml) 3.0


Bottle 9.0


Unknown 2.0

Alcopops Small Can 1.5

Alcopops Standard Bottle 1.5

Alcopops Large Bottle 3.5

Table source: Office for National Statistics

Table notes:1. A schooner is a serving of two thirds of a pint. To estimate the number of units for somebody who has been

drinking schooners, the number of schooners has been multiplied by 4/3 for normal strength beer/lager/cider/shandy and by 8/3 for strong beer/stout/lager/cider.

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Statistical contacts

Name Phone Department EmailTom Howe +44 (0)1633 456330 Office for National

[email protected]

http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/drinking-habits-amongst-adults--2012/prt-units.xls








Issuing Body:Office for National Statistics

Media Contact Details:Telephone: 0845 604 1858(8.30am-5.30pm Weekdays)

Emergency out of hours (limited service): 07867 906553

Email:[email protected]


TitleTable

NumberProportion who Drank Alcohol in the Last Week, by Age and Gender, 2005 - 2012 1Amount of Alcohol Drank on Heaviest Drinking Day in the Last Week, by Age and Gender, 2005 - 2012 2Drinking Habits by Age and Gender, 2012 3Drinking Habits and General Health, 2012 4Types of Alcoholic Drink Consumed on Heaviest Drinking Day in the Last Week, by Age and Gender, 2012 5Types of Alcoholic Drink Consumed by Very Heavy Drinkers and Other Drinkers on Their Heaviest Drinking Day in the Last Week, by Gender, 2012 6Drinking Habits by Employment Status, 2012 7Drinking Habits by Relationship Status, 2012 8Drinking Habits by Ethnicity, 2012 9Drinking Habits by Region, 2012 10Drinking Habits and Smoking, 2012 11Drinking Habits in Pregnancy, 2012 12

Index of Tables

Persons aged 16 and over, Great Britain Percentages

2005 1 2006 2 2007 2 2008 2 2009 2 2010 2 2011 2 2012 2

Weighted base 2012

(000s) = 100%

Unweighted

sample 2012 3

64 60 64 63 55 49 52 50 3,521 47074 73 74 72 70 69 67 63 8,232 1,67077 76 76 74 72 73 72 71 7,627 1,97066 67 67 66 66 65 63 63 4,574 1,59072 71 72 70 68 67 66 64 23,955 5,700

10 8 9 6 7 5 4 5 3,521 47018 17 18 14 13 12 11 9 8,229 1,67028 26 27 24 23 20 21 18 7,627 1,97026 27 29 27 27 26 24 23 4,568 1,59022 21 22 19 18 17 16 14 23,945 5,690

56 53 54 52 51 46 50 48 3,402 54062 60 61 59 59 56 56 50 8,189 2,24061 61 61 60 59 60 60 59 7,926 2,17043 44 45 43 43 43 42 45 5,517 1,99057 56 57 55 54 53 54 52 25,035 6,930

5 3 4 2 2 2 3 2 3,402 54011 9 11 9 7 7 6 5 8,181 2,24017 15 15 15 14 13 12 11 7,926 2,17014 15 15 15 14 14 13 14 5,517 1,99013 11 12 11 10 10 9 9 25,027 6,930

Source: General Lifestyle Survey and Opinions and Lifestyle Survey, Office for National Statistics

123

45-6465+All men

1 Proportion who Drank Alcohol in the Last Week, by Age and Gender, 2005-2012

Men

Drank alcohol in the last week

16-2425-44

16-2425-44

45-6465+All men

Drank alcohol on five or more days in the last week

16-2425-44

45-64

Women


16-2425-4445-6465+All women


65+

2005 data includes October - December 2004 due to a change of survey period from financial to calendar year.Results from 2006 to 2011 include longitudinal data.All unweighted bases are rounded to the nearest 10.

Bases for earlier years can be found in the General Lifestyle Survey reports for the respective year.

All women

Persons aged 16 and over, Great Britain Percentages

2005 1 2 2006 2 2007 2 2008 4 2009 4 2010 4 2011 4 2012 4

Weighted base 2012

(000s) = 100%

Unweighted

sample 2012 5

46 42 44 42 36 34 32 30 3,521 47048 48 48 42 44 41 39 40 8,225 1,66043 42 44 41 41 40 38 37 7,618 1,97021 21 23 21 20 22 20 20 4,565 1,59041 40 41 37 37 36 34 34 23,929 5,690

32 30 32 30 24 24 22 22 3,521 47030 31 31 27 27 25 24 24 8,225 1,66022 21 24 21 21 20 19 19 7,618 1,9706 7 8 7 5 7 6 7 4,565 1,590

23 23 24 21 20 19 18 19 23,929 5,690

41 39 40 36 37 31 31 30 3,384 53042 40 43 37 36 35 34 29 8,177 2,24037 35 36 32 32 32 33 30 7,919 2,17012 14 14 10 11 11 12 13 5,515 1,98034 33 34 29 29 28 28 26 24,995 6,920

27 25 24 24 24 17 18 17 3,384 53020 21 22 20 19 19 16 14 8,177 2,24012 12 13 13 11 11 12 11 7,919 2,1702 2 3 2 2 2 2 3 5,515 1,980

15 15 15 14 13 13 12 11 24,995 6,920Source: General Lifestyle Survey and Opinions and Lifestyle Survey, Office for National Statistics

12

345

Women

Drank more than 3 units of alcohol on at least one day

45-64

2 Amount of Alcohol Drank on Heaviest Drinking Day in the Last Week, by Age and Gender, 2012

Men


16-2425-44

All women

16-24

65+All men


16-2425-4445-6465+All men

2005 data includes October - December 2004 due to survey change from financial year to calendar year.

25-4445-6465+All women


16-2425-4445-6465+

Figures produced using the updated methodology for converting volumes of wine to alcoholic units assuming an average size wine glass.Results from 2006 to 2011 include longitudinal data.Figures produced using the updated methodology taking into account data on wine glass size.All unweighted bases rounded to the nearest 10.

Bases for earlier years can be found in the General Lifestyle Survey reports for the respective year.


16-24 25-44 45-64 65+ All 16-24 25-44 45-64 65+ All 16-24 25-44 45-64 65+ All

50 63 71 63 64 3,521 8,232 7,627 4,574 23,955 470 1,670 1,970 1,590 5,70048 50 59 45 52 3,402 8,189 7,926 5,517 25,035 540 2,240 2,170 1,990 6,93049 57 65 53 58 6,923 16,422 15,553 10,091 48,990 1,000 3,910 4,140 3,570 12,620

5 9 18 23 14 3,521 8,229 7,627 4,568 23,945 470 1,670 1,970 1,590 5,6902 5 11 14 9 3,402 8,181 7,926 5,517 25,027 540 2,240 2,170 1,990 6,9303 7 14 18 11 6,923 16,410 15,553 10,085 48,972 1,000 3,900 4,140 3,570 12,620

39 37 47 68 47 1,762 5,216 5,390 2,894 15,262 240 1,080 1,410 990 3,73037 43 49 71 50 1,625 4,119 4,652 2,459 12,855 250 1,160 1,260 860 3,53038 40 48 69 48 3,386 9,335 10,042 5,353 28,117 490 2,240 2,670 1,850 7,250

18 25 26 22 24 1,762 5,216 5,390 2,894 15,262 240 1,080 1,410 990 3,73028 30 32 23 29 1,625 4,119 4,652 2,459 12,855 250 1,160 1,260 860 3,53023 27 29 22 26 3,386 9,335 10,042 5,353 28,117 490 2,240 2,670 1,850 7,250

17 17 14 6 14 1,762 5,216 5,390 2,894 15,262 240 1,080 1,410 990 3,7308 12 9 4 9 1,625 4,119 4,652 2,459 12,855 250 1,160 1,260 860 3,530

12 15 12 5 12 3,386 9,335 10,042 5,353 28,117 490 2,240 2,670 1,850 7,250

26 21 12 4 15 1,762 5,216 5,390 2,894 15,262 240 1,080 1,410 990 3,73028 15 10 2 12 1,625 4,119 4,652 2,459 12,855 250 1,160 1,260 860 3,53027 18 11 3 14 3,386 9,335 10,042 5,353 28,117 490 2,240 2,670 1,850 7,250


12

Women

Men

Weighted bases 2012 (000s) = 100% Unweighted sample 2012 1

WomenAll

More than 4/3 units, up to 8/6 units 2

WomenMen

All

All

More than 12/9 units 2

MenWomenAll


Men

All persons who drank alcohol in the last week - units of alcohol drank on heaviest drinking day

Drank alcohol on 5 or more days in the last week

Up to 4/3 units 2

All unweighted bases rounded to nearest 10.

3 Drinking Habits by Age and Gender, 2012

Percentages

Units specified differ for men and women. For example 4/3 units means 4 units for men and 3 units for women.

All persons

Drank alcohol in the last weekMenWomen

MenWomenAll

All

Percentages

VeryGood Good Fair Bad

VeryBad

39 40 15 4 1 48,463 12,520

41 42 14 3 1 37,800 9,73032 36 21 9 2 10,663 2,790

35 38 18 6 2 20,366 5,27042 41 13 3 1 9,565 2,37045 40 13 2 0 6,445 1,60046 42 10 2 0 3,969 1,04044 42 12 2 0 2,604 66040 44 13 2 0 1,714 47038 47 11 4 1 1,021 27032 42 19 6 1 2,754 850

35 38 18 6 2 20,366 5,27039 43 14 3 1 13,491 3,58045 40 12 3 0 7,352 1,91046 42 10 2 0 3,316 82044 42 11 2 1 3,863 930

32 35 21 10 2 8,134 2,10031 40 21 6 2 4,123 1,15039 40 17 4 1 4,003 1,06043 41 13 2 1 7,671 1,84044 41 12 3 0 13,433 3,31045 40 12 2 0 5,926 1,58038 47 12 2 0 1,832 49032 44 17 6 1 3,333 1,000

32 35 21 10 2 7,706 1,98035 41 18 5 1 11,305 3,05044 40 13 3 1 12,328 3,10044 42 11 3 0 14,283 3,66038 43 16 3 1 2,648 68020 36 30 7 7 167 60


12

...drink quite a lot

...drink heavily

Once or twice a yearOnce every couple of monthsOnce or twice a month

3 or 4 times a week5 or 6 times a weekAlmost every day

Self perception of alcohol consumption habits - persons who state that they......

...never drink

...hardly drink at all

...drink a little

...drink a moderate amount

Once or twice a week

Drank no alcohol in week before interviewUp to 4/3 units 2




Frequency of alcohol consumption in last 12 months

Drank no alcohol in last 12 months

234567

All persons

All persons who.....

...drink alcohol nowadays

Number of units of alcohol consumed on heaviest drinking day in week before interview

Number of days in week before interview that alcohol was consumed

01

All unweighted bases rounded to nearest 10.Units specified differ for men and women. For example 4/3 units means 4 units for men and 3 units for women.

...do not drink alcohol nowadays

4 Drinking Habits and General Health, 2012All persons aged 16 and over, Great Britain

Self-assessment of general health Weighted base 2012 (000s) =

100%

Unweighted

sample 2012 1

All persons aged 16 and over who consumed alcohol in week before interview, Great Britain Percentages

16-24 25-44 45-64 65+ All

66 65 58 45 5922 21 15 9 1745 45 38 28 39

16 10 8 4 96 2 2 1 3

12 7 5 2 6

30 19 14 27 2047 21 19 24 2439 20 16 26 22

0 1 1 2 11 1 2 9 30 1 1 5 2

11 28 35 38 3042 65 70 65 6426 44 51 51 46

5 1 0 0 111 2 1 0 2

8 2 0 0 2

1,762 5,223 5,394 2,900 15,2791,643 4,127 4,652 2,459 12,8813,405 9,351 10,046 5,359 28,160

240 1,090 1,410 1,000 3,730250 1,160 1,260 860 3,530490 2,250 2,670 1,860 7,270


1

FemaleAll

MaleFemaleAll

Unweighted sample 2012 1

Male

All

Alcopops

MaleFemaleAll

All

Sherry or martini

MaleFemale

Weighted base 2012 (000s) = 100%

Wine, including champagne and babycham

MaleFemale

All


All

FemaleAll

Spirits or liqueurs

MaleFemale

All unweighted bases rounded to nearest 10.

Male

5 Types of Alcoholic Drink Consumed on Heaviest Drinking Day in the Last Week, by Age and Gender, 2012

Age


MaleFemale

PercentagesMen Women All

65 24 4828 8 2039 44 411 1 1

30 65 442 8 4

58 16 385 2 4

17 21 191 3 2

30 64 461 2 1

2,330 1,547 3,87812,932 11,307 24,239

530 400 9303,200 3,130 6,320


123

Very heavy drinkersAll others who drank alcohol in week before interview

Very heavy drinkers are those who consumed more than 12/9 3 units of alcohol on at least one day in the last week.All unweighted bases rounded to nearest 10.12/9 units means 12 units for men and 9 units for women.

Unweighted sample 2012 2

Very heavy drinkersAll others who drank alcohol in week before interview

Proportion of all other drinkers who consumed alcohol in week before interview

Normal strength beer/lager/cider/shandyStrong beer/stout/lager/ciderSpirits or liqueursSherry or martiniWine, including champagne and babychamAlcopops

Weighted base 2012 (000s) = 100%

Proportion of very heavy drinkers 1 who consumed drink type on heaviest drinking day in week before interview

6 Types of Alcoholic Drink Consumed by Very Heavy Drinkers 1 and Other Drinkers on Their Heaviest Drinking Day in the Last Week, by Gender, 2012All people aged 16 and over who drank last week, Great Britain

Alcopops

Normal strength beer/lager/cider/shandyStrong beer/stout/lager/ciderSpirits or liqueursSherry or martiniWine, including champagne and babycham

Men Women All Men Women All Men Women All

69 60 65 15,320 13,215 28,536 3,270 3,350 6,62053 39 47 1,535 1,183 2,718 330 310 64055 42 48 7,100 10,637 17,736 2,100 3,270 5,37064 52 58 23,955 25,035 48,990 5,700 6,930 12,620

13 7 10 15,317 13,211 28,528 3,270 3,350 6,62011 7 10 1,535 1,183 2,718 330 310 64016 10 13 7,093 10,633 17,726 2,090 3,270 5,36014 9 11 23,945 25,027 48,972 5,690 6,930 12,620

41 44 42 10,525 7,904 18,429 2,330 2,030 4,35048 39 45 817 462 1,279 190 130 31061 61 61 3,920 4,489 8,408 1,210 1,380 2,59047 50 48 15,262 12,855 28,117 3,730 3,530 7,250

25 31 27 10,525 7,904 18,429 2,330 2,030 4,35021 32 25 817 462 1,279 190 130 31023 25 24 3,920 4,489 8,408 1,210 1,380 2,59024 29 26 15,262 12,855 28,117 3,730 3,530 7,250

16 11 14 10,525 7,904 18,429 2,330 2,030 4,35012 8 11 817 462 1,279 190 130 3108 6 7 3,920 4,489 8,408 1,210 1,380 2,590

14 9 12 15,262 12,855 28,117 3,730 3,530 7,250

18 14 16 10,525 7,904 18,429 2,330 2,030 4,35018 21 19 817 462 1,279 190 130 3108 7 8 3,920 4,489 8,408 1,210 1,380 2,590

15 12 14 15,262 12,855 28,117 3,730 3,530 7,250Source: Opinions and Lifestyle Survey, Office for National Statistics

1

23

ILO Unemployed 1

Economically Inactive 1

All


Weighted bases 2012 (000s) = 100% Unweighted samples 2012 2

7 Drinking Habits by Employment Status 1, 2012


In Employment 1



All persons

Percentages

In Employment 1


All


All


In Employment 1

ILO Unemployed 1

All


Unweighted bases rounded to nearest 10.Units specified differ for men and women. For example 4/3 units means 4 units for men and 3 units for women.

ILO Unemployed 1

All persons who drank alcohol in the last week - units consumed on heaviest drinking day

Up to 4/3 units 3

All



In Employment 1

In Employment 1

All

In Employment 1

ILO Unemployed 1

International Labour Organisation definitions have been used to group people by employment status. Unemployed people are those who were not working, but looking for work. Examples of economically inactive people include students and retired people.

ILO Unemployed 1

ILO Unemployed 1


Men Women All Men Women All Men Women All

55 50 53 6,490 5,276 11,766 1,360 1,370 2,73067 55 61 12,269 12,256 24,524 2,710 2,840 5,55071 56 64 2,816 2,740 5,557 550 630 1,17061 42 48 2,379 4,761 7,141 1,080 2,090 3,17064 52 58 23,955 25,035 48,990 5,700 6,930 12,620

7 4 6 6,486 5,276 11,762 1,360 1,370 2,73017 10 14 12,265 12,247 24,513 2,710 2,840 5,55013 7 10 2,816 2,740 5,557 550 630 1,17019 10 13 2,378 4,761 7,139 1,080 2,090 3,17014 9 11 23,945 25,027 48,972 5,690 6,930 12,620

37 39 38 3,590 2,609 6,199 800 690 1,49053 54 54 8,223 6,691 14,913 1,860 1,580 3,44036 38 37 2,011 1,536 3,547 390 350 74049 58 54 1,438 2,017 3,455 670 910 1,58047 50 48 15,262 12,852 28,114 3,730 3,530 7,250

20 28 23 3,590 2,609 6,199 800 690 1,49025 30 27 8,223 6,691 14,913 1,860 1,580 3,44025 30 28 2,011 1,536 3,547 390 350 74025 27 26 1,438 2,017 3,455 670 910 1,58024 29 26 15,262 12,852 28,114 3,730 3,530 7,250

17 9 13 3,590 2,609 6,199 800 690 1,49013 8 11 8,223 6,691 14,913 1,860 1,580 3,44016 14 15 2,011 1,536 3,547 390 350 74010 8 9 1,438 2,017 3,455 670 910 1,58014 9 12 15,262 12,852 28,114 3,730 3,530 7,250

26 24 25 3,590 2,609 6,199 800 690 1,4909 8 8 8,223 6,691 14,913 1,860 1,580 3,440

23 17 20 2,011 1,536 3,547 390 350 74016 8 11 1,438 2,017 3,455 670 910 1,58015 12 14 15,262 12,852 28,114 3,730 3,530 7,250


12

CohabitingWidowed / Divorced / SeparatedAll

Single


All persons



Drank alcohol on five or more days in the last weekSingleMarried

All

Up to 4/3 units 2

SingleMarriedCohabiting


SingleMarried

8 Drinking Habits by Relationship Status, 2012

PercentagesWeighted bases 2012 (000s) =

100% Unweighted samples 2012 1

All persons who drank alcohol in the last week

Married

Units of alcohol consumed on heaviest drinking day in the last week

Widowed / Divorced / Separated

Widowed / Divorced / SeparatedAll


SingleMarried



SingleMarriedCohabiting

Unweighted bases rounded to nearest 10.Units specified differ for men and women. For example 4/3 units means 4 units for men and 3 units for women.

Widowed / Divorced / SeparatedAll

Cohabiting


WhiteAll Non-

White MixedAsian or

Asian BritishBlack or

Black British

Chinese or any other

ethnic group All

62 27 43 19 33 34 5812 3 9 2 2 4 11

47 64 50 67 72 65 4827 22 23 23 20 22 2612 9 17 8 6 8 1214 5 11 2 3 6 14

43,105 5,879 626 2,920 1,067 1,267 48,99043,088 5,879 626 2,920 1,067 1,267 48,97226,525 1,590 268 544 348 431 28,117

11,450 1,170 140 520 250 260 12,62011,440 1,170 140 520 250 260 12,620

6,910 340 70 100 80 90 7,250Source: Opinions and Lifestyle Survey, Office for National Statistics

12

9 Drinking Habits by Ethnicity, 2012

Non-White ethnic groups

Drank alcohol in the last weekDrank alcohol on five or more occasions in the last weekUnits of alcohol drunk on heaviest drinking day in the last week

Drank alcohol in the last weekDrank alcohol on five or more occasions in the last week

All Persons

Drank alcohol last weekDrank alcohol on five or more occasions last week

All persons who drank alcohol last week - units consumed on heaviest drinking day last week

Units specified differ for men and women. For example 4/3 units means 4 units for men and 3 units for women.Unweighted bases rounded to nearest 10.

Up to 4/3 units 1




Units of alcohol drunk on heaviest drinking day in the last week

Unweighted samples 2012 2 for...

Weighted bases 2012 (000s) = 100%, for...

Percentages

NorthEast

NorthWest

Yorkshire and The Humber

EastMidlands

WestMidlands

East of England London

SouthEast

SouthWest England Wales Scotland

Great Britain

61 57 62 59 52 58 51 62 63 58 55 55 589 11 11 11 11 12 9 13 17 12 8 9 11

46 42 45 51 51 53 53 52 50 49 45 37 4828 26 23 23 27 26 26 26 29 26 29 29 2613 15 13 13 10 12 8 11 11 12 11 14 1213 18 19 13 12 10 13 11 11 13 16 19 14

2,124 5,562 4,302 3,631 4,361 4,722 6,405 6,862 4,300 42,269 2,450 4,270 48,9902,124 5,562 4,302 3,628 4,359 4,722 6,405 6,857 4,292 42,252 2,450 4,270 48,9721,288 3,129 2,670 2,149 2,281 2,757 3,231 4,222 2,690 24,417 1,342 2,357 28,117

570 1,530 1,230 1,040 1,100 1,220 1,280 1,820 1,080 10,860 680 1,090 12,620570 1,530 1,230 1,040 1,100 1,220 1,280 1,820 1,080 10,850 680 1,090 12,620340 850 760 620 590 710 660 1,100 660 6,280 370 600 7,250

Source: Opinions and Lifestyle Survey, Office for National Statistics al Statistics

12

Drank alcohol on five or more occasions in the last weekUnits of alcohol consumed on heaviest drinking day in the last week





Drank alcohol in the last weekDrank alcohol on five or more occasions in the last weekUnits of alcohol consumed on heaviest drinking day in the last week

Weighted bases 2012 (000s) = 100%, for...Drank alcohol in the last week


All persons who drank alcohol in the last week

Units of alcohol consumed on heaviest drinking day in the last week:Up to 4/3 units 1

Units specified differ for men and women. For example 4/3 units means 4 units for men and 3 units for women.Unweighted bases rounded to nearest 10.

10 Drinking Habits by Region, 2012All persons aged 16 and over

Region

All persons


11 Drinking Habits and Smoking, 2012Percentage

Never Smoked

Ex-Smokers

All Non-Smokers

Light 1

SmokersModerate 1

SmokersHeavy 1

SmokersAll

Smokers

54 67 57 63 54 57 58 588 18 11 11 11 21 13 11

53 49 52 33 34 29 33 4826 27 26 26 28 27 27 2611 11 11 15 14 16 15 1210 12 11 26 23 28 25 14

28,907 10,067 38,974 3,798 4,279 1,874 10,010 48,99028,900 10,059 38,959 3,795 4,279 1,874 10,007 48,97215,610 6,698 22,308 2,392 2,319 1,075 5,809 28,117

7,030 2,950 9,970 930 1,160 550 2,650 12,6207,020 2,940 9,970 920 1,160 550 2,650 12,6203,830 1,910 5,740 580 620 320 1,520 7,250


1

2


More than 8/6 units, up to 12/9 unitsMore than 12/9 units

Units of alcohol consumed on heaviest drinking day in the last weekDrank alcohol on five or more occasions in the last week

Weighted bases 2012 (000s) = 100%, for...Drank alcohol in the last weekDrank alcohol on five or more occasions in the last weekUnits of alcohol consumed on heaviest drinking day in the last week


All persons

Drank alcohol last weekDrank alcohol on five or more occasions last week

All persons who drank alcohol in the last week last week:Units of alcohol consumed on heaviest drinking day in the last week

Up to 4/3 unitsMore than 4/3 units, up to 8/6 units

A minor error was found in the table below. Some people had been incorrectly classified as ex-smokers when they had in fact never smoked. As such the proportions given below for those who had never smoked and those who were ex-smokers were incorrect (each by 1%).

This was corrected at 15:45 on 12 March 2014.

Light smokers are those who smoke, on average, up to 10 cigarettes per day. Moderate smokers are those who smoke 10 up to 20 cigarettes per day. Heavy smokers are those who smoke 20 or more cigarettes per day.Unweighted bases rounded to nearest 10.

All People

All persons aged 16 and over, Great BritainNon-Smokers Smokers

Percentages

PregnantNot pregnant /

unsure

10 530 5

481 12,787481 12,778

110 3,070110 3,060


1 Unweighted samples rounded to nearest 10.

12 Drinking Habits in Pregnancy, 2012All women aged 16-49, Great Britain



Unweighted samples 1 forDrank alcohol in the last week

Drank alcohol in the last weekDrank alcohol on five or more days in the last week

Weighted bases 2012 (000s) = 100% forDrank alcohol in the last week

26 September 2013


Opinions and Lifestyle Survey, SmokingHabits Amongst Adults, 2012Coverage: GBDate: 26 September 2013Geographical Area: RegionTheme: Health and Social Care

Correction

Corrections have been made to this report, following the identification of an error which lead tothe incorrect classification of a number of people as 'ex-smokers', when they should have beenclassified as 'never smoked'. The necessary corrections have been made to reference tables 1.2,1.4, 1.6 and 1.7. Figures 2 and 3 have also been corrected. These corrections were made at 15:30on 10 June 2014.

Key points

• One in five adults (aged 16+) in Great Britain were cigarette smokers in 2012. The rate ofsmoking in Great Britain has remained largely unchanged over the last five years.

• Smoking rates varied by whether people were in employment or not. Unemployed people (notworking but seeking work) were twice as likely to smoke as those either in employment oreconomically inactive (for example, students or retired people).

• Over half of unemployed 25 to 34 year olds smoked (54%).• Pregnant women tend to give up smoking (during pregnancy); however, 7% of women continue

to smoke when pregnant.• Men were more likely to smoke hand rolling tobacco than women.

Introduction

This report provides information on smoking rates, average number of cigarettes smoked andsmoking during pregnancy in Great Britain during 2012. This release, using data provided by theOpinions and Lifestyle Survey (OPN), continues the series of releases on smoking; previously

provided by the General Household Survey (GHS) and the General Lifestyle Survey (GLF)1.

26 September 2013


1. The OPN and GHS/GLF provide comparable results, however, there are some differences in thetwo surveys' design and content; see Methodology for details.

How the data are used and their importance

Smoking claims 80,000 lives per year in England; therefore reducing smoking has been a keyobjective of Government policy on improving health.

In 2010 the White Paper Healthy Lives, Healthy People set out the Government's long-term policyfor improving public health and in 2011 a new Tobacco Control Plan was published. A range oftobacco control legislation has been introduced in recent years including:

• Smokefree legislation.• Raising the age of sale for tobacco products from 16 to 18.• Increased retailer sanctions against those that sell to underage smokers.• Ending tobacco advertising, promotion and sponsorship; the introduction of picture warnings on

all tobacco products.• Making sales from vending machines illegal and ending the permanent display of tobacco

products in supermarkets (with small shops to follow in 2015).

The OPN smoking estimates can be used to understand the impact that such legislative changeshave had on smoking.

The OPN smoking estimates are mainly used to inform Government policy with respect to health;however, there are some other important uses. For example, Her Majesty's Revenue and Customs(HMRC) uses OPN data for its estimates of the illicit tobacco market. These estimates are used tocalculate the overall indirect tax gap to inform HMRC's contribution to the Treasury's fiscal policydecisions. HMRC also use OPN data for developing and measuring its tobacco fraud strategy.OPN smoking estimates are also used by a wide range of charities, lobbyists and other groups. Forexample, Action on Smoking Health (ASH), a campaigning public health charity, use these smokingestimates as part of its work to eliminate the harm caused by tobacco.

Key trends in smoking

The proportion of adults smoking in Great Britain has generally been declining since the survey firstincluded a question about smoking in 1974, from 45% in 1974 to 20% in 2012. Most of this declinehappened between 1974 and 1994. The proportion of adults smoking continued to fall between 1994and 2007, but at a much slower rate. However, from 2007 to 2012 the rate of smoking has remainedlargely unchanged. While the proportion of women smokers has continued to decline over the pastfive years, the proportion of males smoking has changed very little.

Smoking rates varied between men and women, and between different age groups. Amongst men,those aged 25-34 years old were most likely to smoke (32%); an increase from 26% in 2011 (Table1.1 Rates of cigarette smoking by sex and age, 1974 to 2012 (172.5 Kb Excel sheet)).

http://www.gov.uk/government/uploads/system/uploads/attachment_data/file/216096/dh_127424.pdf

http://www.gov.uk/government/publications/the-tobacco-control-plan-for-england

http://www.ash.org.uk/about-ash

http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/smoking-habits-amongst-adults--2012/rft-smoking-2012.xls


26 September 2013


Figure 1: Rates of cigarette smoking, 2000 to 2012, Great Britain

Source: Office for National Statistics

Download chart

XLS format(26.5 Kb)

Cigarette smoking by economic activity and socio-economic classification

Smoking rates for adults who were economically inactive (for example, students and retired people)have decreased across all age groups. Table 1.2 Cigarette smoking by age and employment status(172.5 Kb Excel sheet), compares adults in employment with those who were unemployed (notworking but seeking work) and those who were economically inactive. Unemployed people weretwice as likely to be cigarette smokers (39%) compared with employed (21%) and economicallyinactive (17%). Over half (54%) of unemployed 25 to 34 year olds smoked in 2012.

Smoking rates differ by adult's socio-economic status (a grouping that distinguishes a person'sstatus relative to others based on characteristics such as income, education and occupation). Thesocio-economic classification (NS-SEC) used in this report is based on information about people'soccupation and employment status. As in 2011, rates of smoking in 2012 were highest in routineand manual occupations, such as bar staff and delivery drivers (33%) and lowest in managerialand professional occupations, such as accounting and teaching (14%). The proportion of women

http://www.ons.gov.uk:80/ons/rel/ghs/opinions-and-lifestyle-survey/smoking-habits-amongst-adults--2012/chd-figure-1.xls



26 September 2013


smoking in routine and manual occupations increased from 26% to 32% between 2011 and 2012.(Table 1.3 Rates of cigarette smoking by sex and Socio-economic Classification (172.5 Kb Excelsheet))

Cigarette smoking by region and country

Smoking rates by region and countries will be released by the Integrated Household Survey (IHS)on 3 October 2013. The IHS release will supplement results in this report. The IHS provides a muchlarger number of interviews; therefore the results, when broken down by region and country, are amore precise source on regional smoking rates then the Opinions and Lifestyle Survey.

Cigarette smoking and pregnancy

Table 1.4 Cigarette smoking and pregnancy (172.5 Kb Excel sheet), shows that pregnantwomen aged 16 to 49 were less likely to be smokers than women of the same age who were notpregnant. Pregnant women giving up smoking (during pregnancy) is also observed in the InfantFeeding Survey 2010. However, despite many pregnant women giving up smoking, 7% continuedsmoking.

It is possible that this smoking rate for pregnant women is underestimated. Given the health risksassociated with smoking whilst pregnant, it may be perceived to be less socially acceptable and as aresult respondents to the survey may be less likely to admit smoking when pregnant.




http://www.nct.org.uk/sites/default/files/related_documents/Infant%20Feeding%20Survey_uk_2010_summary.pdf

http://www.nct.org.uk/sites/default/files/related_documents/Infant%20Feeding%20Survey_uk_2010_summary.pdf

26 September 2013


Figure 2: Cigarette smoking of women aged 16 to 49 by pregnancy status, 2012, Great Britain


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Cigarette smoking and marital status

In 2012, married people were less likely to be smokers (14%), and more likely to be ex-smokers(24%) than people who were single or cohabiting. Smoking rates were highest among peoplecohabiting (33%) than for any other marital status group (Table 1.5 Cigarette smoking by age andmarital status (172.5 Kb Excel sheet)).

Cigarette consumption

The proportion of heavy smokers (defined as 20 cigarettes or more per day) has continued to fallsince 1974; 5% of men and 3% of women were heavy smokers in 2012, compare to 26% and 13%in 1974 respectively. Among both men and women smokers, cigarette consumption varied by age.(Table 1.6 Cigarette smoking by sex (172.5 Kb Excel sheet))





26 September 2013


Figure 3: Cigarette smoking by sex, 2012, Great Britain


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In all age groups, the average number of cigarettes smoked per day by men and women in 2012 hasdecreased since 2011, continuing the decline since the early 1990s (Table 1.7 Cigarette smoking bysex and age (172.5 Kb Excel sheet)). In Table 1.8 Average number of cigarettes smoked per day bysex and age (172.5 Kb Excel sheet), the average number of cigarettes smoked by men in 2012 was12 compared to 13 in 2011, whilst women smokers on average smoked 11 cigarettes per day. Menaged 50 and over who were smokers, smoked the highest average number of cigarettes per day(14).

Table 1.9 Average number of cigarettes smoked per day by sex and Socio-economic Classification(172.5 Kb Excel sheet), illustrates that people who work in managerial and professional occupationswere most likely to smoke fewer cigarettes per day than those in intermediate and routine andmanual occupations (10 compared to 12 cigarettes per day). This is unchanged from 2011.








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Cigarette type

Cigarette smokers were asked whether they mainly smoked cigarettes or hand rolled tobacco(HRT). Cigarettes are the most popular form smoked, especially amongst women. Two thirds (66%)of women smokers compared to half of men smokers (52%) smoked cigarettes. Hand rolled tobaccowas more popular among men; 38% of men smokers and 24% of women smokers smoked HRT in2012.

The GLF 2011 reported that there had been a marked increase in the proportion of smokers who

mainly smoked hand rolled tobacco (HRT) since the early 1990s. Gilmore et al (2013)1 suggestthat HRT has a tactical role in keeping smokers in the market place when cigarette prices rise, forexample, HRT is cheaper to attract starters, keeps smokers in the market and boost consumption.(Table 1.10 Type of cigarette smoked by sex and age (172.5 Kb Excel sheet))

Figure 4: Type of cigarette smoked by sex, 2012, Great Britain


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http://www.ons.gov.uk:80/ons/rel/ghs/general-lifestyle-survey/2011/index.html



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Notes

1. Gilmore, A. Tavakoly, B. Taylor, G and Reed, H. Understanding tobacco industry pricing strategyand whether it undermines tobacco tax policy: the example of the UK cigarette market. Addiction2013; 108: 1317-1326.

The reliability of smoking estimates

It is likely that the survey underestimates cigarette consumption and, perhaps to a lesser extent,prevalence (the proportion of people who smoke). For example, evidence suggests (Kozlowski,

1986)1 that when respondents are asked how many cigarettes they smoke each day, there is atendency to round the figure down to the nearest multiple of 10. Underestimates of consumptionare likely to occur in all age groups. Under-reporting of prevalence, however, is most likely to occuramong young people. To protect their privacy, particularly when they are being interviewed in theirparents' home, young people aged 16 and 17 complete the smoking and drinking sections of thequestionnaire themselves, so that neither the questions nor their responses are heard by anyone

else who may be present2.

Notes

1. Kozlowski, L. T, Pack size, reported smoking rates and public health, American Journal of PublicHealth, 76 (11) pp1337-8 November 1986.

2. See Chapter 4, General Household Survey 1992, HMSO 1994. This includes a discussion ofthe differences found when smoking prevalence reported by young adults on the GHS wascompared with prevalence among secondary school children.

Methodology

What are the similarities between the General Lifestyle Survey and the Opinions and LifestyleSurvey?

The Opinions and lifestyle Survey (OPN) uses the same approach to sampling as the GeneralLifestyle Survey (GLF). That is, a random sample of addresses is drawn from the Postcode AddressFile (PAF). Initially, a sample of postcode sectors is drawn, and from within those, a list of addressesis chosen. The design means that every address and every person in Great Britain has an equalchance of selection. The PAF is ordered by region and other socio-demographic indicators providedby the census. Ordering the PAF helps to ensure the sample represents the general population ofGreat Britain.


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After data collection, the results are 'weighted' to ensure they represent the general population ofGreat Britain. The approach to weighting is the same for both surveys. Firstly, an adjustment ismade to account for those respondents who chose not to take part in the surveys. Secondly, thesamples are grossed up to total the GB population, taking account of the age and gender profile ofthe population, as well as the distribution of people across Local Authorities.


The primary difference between these two surveys is the approach to interviewing residents ofsampled addresses. The GLF aimed to interview all residents in the household aged 16 or above.The OPN only interviews one person aged 16 or above in each sampled household. The OPNrandomly selects a resident for interview, thus reducing the potential for selection bias. Despite adifferent approach to within household sampling selection, the achieved number of interviews isbroadly the comparable between the two surveys. The GLF achieved approximately 13,500 adultinterviews per year compared to approximately 13,000 adult interviews per year on the OPN.

There was a reduction in the number and detail of questions migrated from the GLF to the OPN.Details of the questions that were moved from the GLF to the OPN are provided in Appendix A ofthe Future of the GLF (108.9 Kb Pdf) update.


Using the OPN in place of the GLF has not impacted on the results presented in this report.

The reduction in achieved sample size has not led to significant loss in precision. The confidenceintervals around key estimates such as the national (Great Britain) smoking rate are comparablebetween the GLF and OPN. Results on smoking habits have been found to follow the same patternsby various socio-demographic characteristics such as age, gender and employment status. Thecomparability of these estimates is deemed sufficient to make comparisons between 2012 andpreviously reported results.

However, the reduction in questions asked on topics covered by the GLF has led to adiscontinuation of some outputs. For example, in the case of smoking, the age at which peoplestarted smoking is no longer reported on, as the source data is not collected on the OPN. Similarly,questions on tobacco dependency were no longer asked from January 2012.


26 September 2013


Background notes


Copyright








Table 1.1 Rates of cigarette smoking by sex and age: 1974 to 2012 1

Persons aged 16 and over Great Britain

1974 2 1978 2 1982 2 1986 2 1990 2 1994 2 1998 2 1998 2000 2001 2002 2003 2004 2005 3 2006 4 2007 4 2008 4 2009 4 2010 4 2011 4 2012

Men Percentage smoking cigarettes Percentage smoking cigarettes

16-19 42 35 31 30 28 28 30 30 30 25 22 27 23 23 20 22 18 24 20 18 15 22020-24 52 45 41 41 38 40 42 41 35 40 37 38 36 34 33 32 29 24 25 30 29 25025-34 56 48 40 37 36 34 37 38 39 38 36 38 35 34 33 29 30 27 28 26 32 75035-49 55 48 40 37 34 31 32 33 31 31 29 32 31 29 26 25 24 26 25 25 25 1,45050-59 53 48 42 35 28 27 27 28 27 26 27 26 26 25 23 22 23 22 21 20 22 93060 and over 44 38 33 29 24 18 16 16 16 16 17 16 15 14 13 13 13 15 13 14 13 2,100

51 45 38 35 31 28 28 30 29 28 27 28 26 25 23 22 22 22 21 21 22 5,700

Women

16-19 38 33 30 30 32 27 31 32 28 31 29 25 25 26 20 20 26 24 17 19 15 21020-24 44 43 40 38 39 38 39 39 35 35 38 34 29 30 29 30 31 28 29 28 29 33025-34 46 42 37 35 34 30 33 33 32 31 33 31 28 29 26 23 25 24 25 21 23 1,05035-49 49 43 38 34 33 28 28 29 27 28 27 28 28 26 25 23 23 23 23 23 21 1,73050-59 48 42 40 35 29 26 27 27 28 25 24 23 22 23 22 21 20 20 20 18 19 1,05060 and over 26 24 23 22 20 17 16 16 15 17 14 14 14 13 12 12 12 13 13 12 12 2,570All aged 16 and over 41 37 33 31 29 26 26 26 25 26 25 24 23 23 21 20 21 20 20 19 19 6,930

All persons

16-19 40 34 30 30 30 27 31 31 29 28 25 26 24 24 20 21 22 24 19 18 15 42020-24 48 44 40 39 38 39 40 40 35 37 38 36 32 32 31 31 30 26 27 29 29 58025-34 51 45 38 36 35 32 35 35 35 34 34 34 31 31 30 26 27 25 26 23 27 1,80035-49 52 45 39 36 34 30 30 31 29 29 28 30 29 27 25 24 24 25 24 24 23 3,18050-59 51 45 41 35 29 27 27 28 27 26 26 25 24 24 22 21 22 21 20 19 21 1,98060 and over 34 30 27 25 21 17 16 16 16 17 15 15 14 14 12 12 13 14 13 13 13 4,660All aged 16 and over 45 40 35 33 30 27 27 28 27 27 26 26 25 24 22 21 21 21 20 20 20 12,620

1 The survey was not carried out in 1997/98 or 1999/00

2 Unweighted data between 1974 and 1998 are presented in four yearly intervals.

3 2005 data includes last quarter of 2004/05 data due to survey change from financial year to calendar year.

4 Results from 2006 to 2011 include longitudinal data (see the GLF 2011 Technical Appendix B - Sample design and Response).

5 All unweighted bases are rounded to the nearest 10.

Sources: General Lifestyle Survey and Opinions and Lifestyle Survey, Office for National Statistics

Unweighted sample 5 2012WeightedUnweighted

All aged 16 and over

Table 1.2Cigarette smoking by age and employment status 1

Persons aged 16 and over Great Britain: 2012

Employment status 16-24 25-34 35-49 50-59 60 & over Total

% % % % % %

In employmentCurrent cigarette smokers 23 25 20 18 16 21

Ex-smoker 4 14 18 22 34 18

Never smoked 73 61 62 59 50 61

ILO UnemployedCurrent cigarette smokers 35 54 41 30 17 39

Ex-smoker 3 12 17 20 56 14

Never smoked 61 34 42 51 27 47

Economically InactiveCurrent cigarette smokers 16 29 33 29 12 17

Ex-smoker 3 12 16 25 34 26

Never smoked 81 59 51 47 54 57

Unweighted sample 2

In Employment 510 1,370 2,530 1,470 740 6,620

ILO Unemployed 140 140 180 120 50 640

Economically Inactive 340 290 470 390 3,870 5,370

1 It was not possible to report a time series due to a change in methodology



Age group

An error was discovered in the originally published version of the table below. This resulted from the incorrect classification of a number of people as 'ex-smokers', when their correct classification was 'never smoked'. As such, the

data have been corrected, with the proportions of ex-smokers decreasing, and the proportions of those who have never smoked increasing by a corresponding amount, when compared with the table that was originally published. This

error was corrected on 10 June 2014 at 15:30.

Table 1.3

Persons aged 16 and over Great Britain 2011 to 2012

2011 2012 2011 2012 2011 2012

% % % % % %

Managerial & professional 14 16 12 12 13 14

Large employers & high managerial 11 9 9 12 10 10

Higher professional 12 13 9 9 10 12

Lower managerial & professional 15 19 14 13 14 16

Intermediate 21 24 19 17 20 20


Small employers & own account 23 27 21 16 22 24

Routine & manual 29 33 26 32 28 33

Lower supervisory & technical 25 30 22 31 24 30

Semi-routine 30 32 26 30 28 31

Routine 33 37 29 36 31 36

Total 1 21 22 19 19 20 20

Unweighted sample 2


Higher professional 810 600 780 350 1,580 950

Lower managerial & professional 1,500 1,020 1,730 1,290 3,230 2,300

Intermediate 480 270 800 930 1,280 1,210

Small employers & own account 650 540 640 270 1,280 810

Lower supervisory & technical 610 410 590 180 1,190 600

Semi-routine 630 460 890 850 1,530 1,310

Routine 710 550 850 430 1,560 980

Total 1 5,960 5,700 6,990 6,930 12,950 12,620

1 Respondents who had never worked, were unemployed and not classified are not shown as separate categories but are included in the total.



Men

Socio-economic classification

Women Total

Rates of cigarette smoking by sex and socio-economic classification

Table 1.4Cigarette smoking and pregnancy 1

Women aged 16 to 49 Great Britain: 2012

Currently pregnant

Not pregnant / unsure

% %

Current cigarette smoker 7 23Ex-smoker 18 13Never Smoked 75 64

Unweighted sample 2 110 3,060




An error was discovered in the originally published version of the table below. This resulted from the incorrect classification of a number of people as 'ex-smokers', when their correct classification was 'never smoked'. As

such, the data have been corrected, with the proportions of ex-smokers decreasing, and the proportions of those who have never smoked increasing by a corresponding amount, when compared with the table that

was originally published. This error was corrected on 10 June 2014 at 15:30.

Table 1.5Cigarette smoking by age and marital status 1


Marital status Cigarette status 16-24 25-34 35-49 50-59 60 & over Total

% % % % % %

Current cigarette smoker 20 35 38 27 20 27

Ex-smoker 3 10 15 21 28 9

Has smoked previously but never regularly 10 12 10 9 13 11

Never smoked 68 43 37 43 40 54


Ex-smoker 11 15 17 22 36 24


Never smoked 64 57 53 49 39 48


Ex-smoker 13 19 24 28 37 22


Never smoked 35 39 34 36 26 36


Ex-smoker 0 9 17 22 33 27


Never smoked 57 40 41 37 40 40

Unweighted sample 2

Single 840 650 690 270 290 2730

Married 30 610 1570 1120 2230 5550

Cohabitating 130 420 400 130 100 1170

Widowed/Divorced/Separated 10 120 520 480 2050 3170

All aged 16 and over 1000 1800 3180 1980 4660 12620




Age group

Single

Married

Cohabitating

Widowed/Divorced/ Separated

Table 1.6Cigarette smoking by sex 1


Current cigarette smokers Men Women

% %

Light to Moderate (under 20 per day) 17 16

Heavy (20 or more per day) 5 3

Total current cigarette smokers 22 19

Ex-smoker 23 18

Never-smoked 55 63

Unweighted sample 2 5,700 6,930




An error was discovered in the originally published version of the table below. This resulted from the incorrect classification of a number of people as 'ex-smokers', when their correct classification was 'never smoked'. As such,

the data have been corrected, with the proportions of ex-smokers decreasing, and the proportions of those who have never smoked increasing by a corresponding amount, when compared with the table that was originally

published. This error was corrected on 10 Jun 2014 at 15:30.

Table 1.7Cigarette smoking by sex and age 1


Light to moderate Heavy Great Britain Cigarette Great Britain(under 20 per day) (20 or more per day) population consumption rate

% % %

Men

16-19 14 1 15 220 220

20-24 26 3 29 250 250

25-34 27 5 32 750 750

35-49 19 6 25 1450 1,450

50-59 16 6 22 930 930

60 and over 9 4 13 2100 2,100

17 5 22 5700 5,700

Women

16-19 13 2 15 210 210

20-24 25 4 29 330 330

25-34 21 2 23 1050 1,050

35-49 17 4 21 1730 1,730

50-59 15 5 19 1050 1,050

60 and over 10 2 12 2570 2,570

All aged 16 and over 16 3 19 6930 6,930

All persons

16-19 14 1 15 420 420

20-24 26 3 29 580 580

25-34 24 3 27 1800 1,800

35-49 18 5 23 3180 3,180

50-59 15 5 21 1980 1,980

60 and over 9 3 13 4660 4,660

All aged 16 and over 16 4 20 12620 12,620




Current cigarette smokers


Unweighted Sample 2

A minor error was identified in the table below. A small number of people had been assigned with missing values, when their correct classification was 'light to moderate'. This has resulted in an increase of 1 percent in the proportion falling into the 'light to moderate' group for men aged 60 and over, women aged 25 to

34, and women of all ages. This was corrected on 10 June 2014 at 15:30.

Table 1.8Average number of cigarettes smoked per day, by sex and age: 1974 to 2012 1

Current cigarette smokers aged 16 and over Great Britain

1974 2 1978 2 1982 2 1986 2 1990 2 1994 2 1998 2 1998 2000 2001 2002 2003 2004 2005 3 2006 4 2007 4 2008 4 2009 4 2010 4 2011 4 2012

Mean number of cigarettes per day

Men

16-19 16 14 12 12 13 10 10 10 12 11 11 13 11 13 10 10 10 8 9 10 8 4020-24 19 17 16 15 16 13 14 13 12 12 12 12 11 11 12 12 11 11 12 10 10 8025-34 19 19 17 16 16 15 13 13 13 13 13 13 12 12 13 12 12 12 11 11 11 25035-49 20 20 20 19 19 18 17 18 17 17 17 16 16 15 16 16 15 15 14 14 13 38050-59 18 20 18 17 17 20 18 18 17 18 18 18 18 17 16 16 16 16 17 16 14 23060 and over 14 15 16 15 15 14 16 16 15 15 16 15 14 15 18 15 15 15 15 15 14 290

18 18 17 16 17 16 16 15 15 15 15 15 15 14 15 14 14 14 14 13 12 1,250

Women

16-19 12 13 11 11 11 10 10 10 10 12 12 10 11 10 9 9 11 12 12 9 8 4020-24 14 14 14 12 13 13 12 11 10 11 10 11 11 11 11 10 11 10 10 12 9 12025-34 15 16 16 14 15 14 12 12 12 12 12 12 12 11 12 11 10 10 10 10 10 28035-49 15 16 15 16 15 15 15 15 14 15 15 14 14 14 14 14 14 14 13 13 12 41050-59 13 14 14 14 15 15 15 15 15 15 15 15 15 15 15 14 14 14 14 13 13 21060 and over 10 11 11 12 12 13 12 12 12 12 13 13 13 13 13 13 13 14 14 13 12 340All aged 16 and over 13 14 14 14 14 14 13 13 13 13 13 13 13 13 13 13 13 13 12 12 11 1,380

1 The survey was not carried out in 1997/98 or 1999/00

2 Unweighted data between 1974 and 1998 are presented in four yearly intervals.

3 2005 data includes last quarter of 2004/05 data due to survey change from financial year to calendar year.

4 Results from 2006 onwards include longitudinal data (see the GLF 2011 Technical Appendix B - Sample design and Response).



Unweighted Sample 2012 5

Unweighted Weighted


Table 1.9

Current cigarette smokers aged 16 and over Great Britain: 2011 to 2012

2011 2012 2011 2012 2011 2012

Managerial & professional 11 10 11 10 11 10







Routine & manual 14 13 13 12 14 12


Semi-routine 12 12 12 11 12 12

Routine 16 13 13 13 14 13

Total 1 13 12 12 11 13 12

Unweighted sample 2




Intermediate 80 50 140 170 220 220



Semi-routine 180 140 230 280 410 410

Routine 200 200 230 170 430 360

Total2 1,150 1,260 1,250 1,390 2,400 2,650

1 Respondents who had never worked, were unemployed and not classified are not shown as separate categories but are included in the total.



Average number of cigarettes smoked per day, by sex and socio-economic classification

Socio-economic classification

Men Women Total

Mean number of cigarettes a day

Table 1.10Type of cigarette smoked by sex and age 1

Current cigarette smokers aged 16 and over Great Britain: 2012

16-24 25-34 35-49 50-59 60 & over Total

Men

Packeted 43 56 52 49 54 52

Hand-rolled 39 35 38 44 39 38

Both - mainly packeted 8 6 8 6 5 7

Both - mainly hand-rolled 9 3 2 2 2 3

Unweighted sample 2 110 250 380 230 280 1250

Women

Packeted 57 63 63 68 81 66

Hand-rolled 25 23 29 23 16 24

Both - mainly packeted 9 12 6 7 3 7

Both - mainly hand-rolled 8 2 1 1 1 2

Unweighted sample 2 150 280 410 210 340 1390




Age group (%)

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