Survey of Health, Ageing and Retirement in Europe SHARE ... · Survey of Health, Ageing and Retirement in Europe SHARE First Results for Austria Research Report 31 Isabella Buber,

Survey of Health, Ageing and Retirement in Europe

SHARE

First Results for Austria

Research Report 31

Isabella Buber, Alexia Prskawetz, Henriette Engelhardt, Franz Schwarz, Rudolf Winter-Ebmer

Vienna Institute of Demography, Austrian Academy of Sciences and Department of Economics, Johannes Kepler University of Linz

September 2006

VIENNA INSTITUTE OF DEMOGRAPHY AUSTRIAN ACADEMY OF SCIENCES Prinz Eugen-Strasse 8-10, 2nd floor 1040 Vienna DEPARTMENT OF ECONOMICS JOHANNES KEPLER UNIVERSITY LINZ Altenberger Strasse 69 4040 Linz-Auhof FORSCHUNGSBERICHT NR. 31 Die Arbeit unterliegt ausschließlich der Verantwortung des Instituts für Demographie und wurde der phil.-hist. Klasse nicht vorgelegt. Medieninhaber und Herausgeber: Institut für Demographie Vienna Institute of Demography Österreichische Akademie der Wissenschaften A-1040 Wien, Prinz Eugen-Straße 8-10 Tel.: +43-1/51581/7702 Fax: +43-1/51581/7730 e-mail: [email protected] homepage: http://www.oeaw.ac.at/vid Vertrieb: Verlag der Österreichischen Akademie der Wissenschaften A-1011 Wien, Postgasse 7, Postfach 471 Tel.: +43-1/51581/3401-3406 Fax: +43-1/51581/400 e-mail: [email protected] homepage: http://www.verlag.oeaw.ac.at/ Lektorat und Layout: Mag. Sylvia Trnka, Mag. Ani Minassian Druck und Bindung: Riegelnik Ges.m.b.H., A-1080 Wien, Piaristengasse 17-19 ISBN 978-3-7001-3777-1

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Contents Introduction ................................................................................................................................ 5 1 SHARE................................................................................................................................ 6

1.1 How SHARE was born .............................................................................................. 6 1.2 Aims of SHARE......................................................................................................... 7 1.3 Data collection............................................................................................................ 7 1.4 The Austrian SHARE data ......................................................................................... 8 1.5 Following waves ........................................................................................................ 9

2 Overview on SHARE for Austria ..................................................................................... 11 2.1 Coverscreen (CV)..................................................................................................... 11 2.2 Demographics (DN) ................................................................................................. 13 2.3 Physical health (PH)................................................................................................. 15 2.4 Behavioural risks (BR)............................................................................................. 16 2.5 Cognitive function (CF) ........................................................................................... 17 2.6 Mental health (MH).................................................................................................. 18 2.7 Health care (HC) ...................................................................................................... 19 2.8 Employment and pensions (EP) ............................................................................... 21 2.9 Grip strength (GS).................................................................................................... 23 2.10 Walking speed (WS) ................................................................................................ 24 2.11 Children (CH)........................................................................................................... 24 2.12 Social support (SP)................................................................................................... 25 2.13 Financial transfers (FT)............................................................................................ 26 2.14 Housing (HO)........................................................................................................... 27 2.15 Household income (HH) .......................................................................................... 28 2.16 Consumption (CO) ................................................................................................... 28 2.17 Assets (AS)............................................................................................................... 29 2.18 Activities (AC) ......................................................................................................... 30 2.19 Expectations (EX) .................................................................................................... 31 2.20 Interviewer observations (IV) .................................................................................. 32 2.21 Drop-off questionnaire (Q)....................................................................................... 32

References ................................................................................................................................ 35 3 Linear counts by age and gender....................................................................................... 37

3.1 Coverscreen (CV)..................................................................................................... 39 3.2 Demographics (DN) ................................................................................................. 43 3.3 Physical Health (PH)................................................................................................ 60 3.4 Behavioural Risks (BR) ........................................................................................... 96 3.5 Cognitive Function (CF) ........................................................................................ 103 3.6 Mental Health (MH)............................................................................................... 110 3.7 Health Care (HC) ................................................................................................... 116 3.8 Employment (EP)................................................................................................... 149 3.9 Grip Strength (GS) ................................................................................................. 221 3.10 Walking Speed (WS).............................................................................................. 224

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3.11 Children (CH)......................................................................................................... 229 3.12 Social Support (SP) ................................................................................................ 269 3.13 Financial Transfers (FT)......................................................................................... 294 3.14 Housing (HO)......................................................................................................... 306 3.15 Household Income (HH) ........................................................................................ 318 3.16 Consumption (CO) ................................................................................................. 320 3.17 Assets (AS)............................................................................................................. 323 3.18 Activities (AC) ....................................................................................................... 336 3.19 Expectations (EX) .................................................................................................. 355 3.20 Interviewer Observations (IV) ............................................................................... 366 3.21 Self-administered questionnaire (Q) ...................................................................... 375

4 Annexes........................................................................................................................... 411 4.1 Show cards (generic version) ................................................................................. 411 4.2 Show cards for Austria........................................................................................... 422

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Introduction In this volume, the Vienna Institute of Demography of the Austrian Academy of Sciences and the Department of Economics of the Johannes Kepler University Linz present the Austrian data of the “Survey of Health, Ageing and Retirement in Europe” (SHARE).

Setting up a questionnaire, choosing the sample and interviewing the respondents are the first steps of any data collection. When data are available, it is important to inform not only the scientific community but also policy-makers as well as public and private institutions about the existence of the survey and to point out what remains to be investigated for the well-being of society and the community.

This publication wants to give an overview of SHARE for Austria and to inform the public about the existence of data on elderly people and the participation of Austria in this international project. It is also meant to serve as reference for those who are interested in and want to do further analyses of the SHARE data.

The document is structured as follows: The first chapter introduces SHARE, informs about the aims, the international context, the data collection in Austria, the persons interviewed and future interview waves. Chapter 2 outlines the various aspects covered by SHARE. The survey is subdivided into 21 modules. It starts with the coverscreen (CV) module, which is crucial for linking members of a household, and the demographic (DN) module. The other 19 modules cover a great variety of aspects of ageing: physical health (PH), behavioural risks (BR), cognitive function (CF), mental health (MH), health care (HC), employment and pensions (EP), grip strength (GS), walking speed (WS), children (CH), social support (SP), financial transfers (FT), housing (HO), household income (HH), consumption (CO), assets (AS), activities (AC), expectations (EX), interviewer observations (IV) and a self-administered questionnaire (Q). Chapter 3 is the most voluminous one and contains a complete cross-tabulation by age and sex of all variables included in SHARE for the Austrian case (approximately 2,000 interviewees).

Funding for the SHARE data collection was mainly provided by the European Commission within the 5th Framework Programme (project QLK6-CT-2001-00360 in the thematic programme area ‘Quality of Life’). Additional funding came from the US National Institute on Ageing (U01 AG09740-13S2, P01 AG005842, P01 AG08291, P30 AG12815, Y1-AG-4553-01 and OGHA 04-064). Some SHARE countries also had national co-funding. In three countries, data were mainly nationally funded: Austria (by the Austrian Science Foundation, FWF, project number P-15422), Belgium (by the Belgian Science Policy Administration) and Switzerland (by BBW/OFES/UFES). Acknowledgements We are grateful to Karsten Hank and Stefanie Stuck from MEA (Mannheim Research Institute for the Economics of Aging) and to Christine Atteneder (Department of Economics, Johannes Kepler University Linz) for their assistance and helpful comments. We also want to thank Belinda Aparizio Diaz for computer assistance and Elke Pscheiden who invested a lot of time and effort in layouting the tables.

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1 SHARE

1.1 How SHARE was born

SHARE is a truly multidisciplinary and also an international endeavour. Although the project was initiated by economists, the research team was characterised by a good balance of scientists representing many disciplines: demography, economics, sociology, epidemiology, statistics, social psychology, psychiatry, public health and many more. The main idea has been to provide comparable information on all aspects of ageing in European countries on the basis of professional surveys that take into account the longitudinal aspect of the phenomenon, namely that problems and solutions change as individuals age. For this reason, it was imperative to do a panel survey where the same individuals or families are observed over time. Existing surveys are unable to accomplish this task, because some are based on general samples (e.g., the European Community Household Panel Survey, ECHP), which means that the focus on the problems of older persons is not strong enough, while others are only available for individual countries (e.g., the English Longitudinal Survey of Ageing, ELSA) or have different focuses (e.g., the European Social Survey).

Luckily, there was a model, namely the American Health and Retirement Survey (HRS). Ever since it was started in 1992, it has been a huge success in terms of scientific research. The data have been used by researchers from many disciplines to prepare more than 1,000 scientific papers and numerous policy questions have been addressed.

SHARE was created to follow this model, but it also faced new challenges. Comparability with existing surveys on ageing (HRS and ELSA) was one goal; the other goal was to accommodate the needs of the different European countries. On the one hand, the survey had to cater to a wide variety of social institutions specialising on health care or retirement in the countries it covered; on the other hand, the setup and content of the questionnaire had to be strictly comparable across countries so as to allow researchers to use the data quickly without having to go back to the national institutions. Coming to terms with this challenge took up most of the time in the development of the survey instrument.

SHARE went into the design phase in January 2002. Members of all countries, representing a wide range of disciplines, formed working groups to produce a raw instrument in English language. They also met with leading researchers from HRS and ELSA to learn from their experience and pitfalls. The first version was piloted in the UK and substantially revised and shortened before it was translated into the national languages. The survey was separately translated into all languages of the SHARE member countries, which meant, among others, to produce separate translations into German German, Swiss German and Austrian German. Based on quota samples in most countries, pilots were performed on a large scale during June 2003, which led to further changes and corrections. A pre-test based on genuine probability samples (100 respondents in each country plus spouses) was carried out in all countries in February 2004, before the first wave of data collection was done between April and October 2004. Due to financial problems, data collection was somewhat delayed in Belgium and France, but these data are now available in the first release as of April 2005.

SHARE 7

Collection of data for the first wave is under way in latecomers such as Ireland, Israel, Poland and the Czech Republic.

1.2 Aims of SHARE

Europe’s population is becoming older and older and population projections predict that in 2050 about half of the EU-15’s population will be aged 50 or above (Scherbov and Mamolo1 2006). In view of such an important shift in the composition of the population, it was high time to collect comparable data on individual life circumstances for the growing group of elderly persons in Europe. “Understanding ageing and how it affects individuals in the diverse cultural settings of Europe is the main task of SHARE” (Börsch-Supan et al. 2005, p. 8).

The “Survey of Health, Ageing and Retirement in Europe” (SHARE) is the first European dataset that includes accurate cross-national information on economic circumstances, health, well-being, integration into family and social networks for the following ten continental European countries: Austria, Denmark, France, Germany, Greece, Italy, Netherlands, Spain, Sweden, and Switzerland. It aims at understanding the ageing process in Europe in order to turn “potential challenges into chances” (Börsch-Supan 2005, p.1). Learning from the English Longitudinal Survey on Ageing (ELSA) and the US Health and Retirement Study (HRS), SHARE is a “multidisciplinary enterprise with a strong emphasis on looking always from at least three angles: economics, health, and social networks” (Börsch-Supan et al. 2005, p. 18).

SHARE is a joint endeavour of some 150 researchers and the largest socio-economic research project sponsored by Directorate-General (DG) Research (Börsch-Supan 2005). These facts demonstrate that SHARE is a cooperative venture of the leading scientific communities in Europe and the USA. First results have been published and a number of promising analyses combining the three dimensions of SHARE—i.e. health, economic conditions, family and social environment—are envisaged.

1.3 Data collection

SHARE is based on probability samples in all participating countries, and represents the non-institutionalised population aged 50 and older. Since spouses of persons aged 50 and above were also interviewed, some persons in the dataset are younger than 50. “Release 1” comprises data on an unweighted total of 22,777 individuals in 15,537 households collected between April and October 2004.2 SHARE has an open access policy. As the survey has been financed by public money, scientific research should profit from it to the maximum possible extent. From April 2005 onwards, data can be accessed by all researchers free of charge.3 1 The simulations are based on the medium assumptions outlined in the paper by Scherbov and Mamolo

(2006). 2 An early incomplete release of SHARE data (called “Release 0”) was created in November 2004. The

publication Börsch-Supan et al. (eds.) (2005) Health, Ageing and Retirement in Europe – First results from the Survey of Health, Ageing and Retirement in Europe is based on “Release 0”.

3 See http://www.share-project.org/index.php?page=Accessthedata&menue=5&sub=


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The weighted average response rate is 61.8% among the ten SHARE countries, in which data collection took place in 2004, and the within-household response rate4 is 86.0% (Börsch-Supan and Jürges 2005). Comparisons with three prominent other European surveys—i.e. the quarterly European Union Labour Force Survey (EU-LFS), the European Community Household Panel (ECHP) and the European Social Security Survey (ESS)—show that the key statistics on employment, income, education and health are very similar and rarely statistically different (Börsch-Supan et al. 2005). SHARE is a reliable dataset and contains all essential elements on the population aged 50 and above in Europe.

The data were collected using a computer-assisted personal interviewing (CAPI) programme supplemented by a self-completion paper-and-pencil questionnaire. The bulk of the SHARE management work was done at the Mannheim Research Institute for Economics of Ageing (MEA) and CentERdata, a survey research institute affiliated with Tilburg University in the Netherlands. Programming was done centrally by CentERdata. Data collection is still ongoing. In Belgium, data were collected in 2005, Israel started in 2005, and supplementary data5 were collected in some countries. These new data will be included in “Release 2”, i.e. the final release, which is scheduled for autumn 2006. “Release 2” will also include an extensive set of generated and imputed variables on income and assets.

1.4 Austrian SHARE data

As it is very important to understand which individuals were interviewed, this chapter briefly describes the persons included in the SHARE data as well as some aspects of the data collection in Austria.

The target population “consists of all people living in residential households who have 50 years of age or more, plus their (possibly younger) partners” (Börsch-Supan and Jürges 2005, p. 88). Data were collected by national, mainly private survey institutes. In Austria, this task was assigned to IMAS (“Institut für Markt- und Sozialanalyse”, an Austrian market research institute). Most countries had registers of individuals that permitted selecting the sample. In Austria, telephone directories6 were used as sampling frames and a screening phase was required in order to assess the age-eligibility status of the sampled households.7

The Austrian target population were all households with at least one German-speaking member born in 1954 or earlier. All German-speaking residents in the sample who were born in 1954 or earlier and their spouses/partners at the time of the interview were selected for

4 The within-household response rate is defined as the ratio between the number of responding

individuals and the number of eligible persons in these households (Börsch-Supan and Jürges 2005, p. 99).

5 The supplementary samples are the so-called “vignette samples”. “Vignettes” are little stories (e.g., Someone is told the following story: “Hans (imaginary person) has a headache. Does he feel good or bad?”), which make it easier to compare subjective answers across countries.

6 Greece and Switzerland also used telephone directories as sampling frames. 7 In more detail, a two-stage sampling was used: At first, 100 sample points were identified across 2

dimensions (9 regions and 3 city-size categories). Within these 100 strata, a random sample was drawn from the telephone directory (according to age adequacy).

SHARE 9

interviews. The target population does not include individuals living in institutions for the elderly or in prisons (Börsch-Supan and Jürges 2005).

The Austrian SHARE data include an unweighted total of 1,986 individuals—820 men and 1,166 women—in 1,455 households, with a household response rate of 58.1% and an individual response rate of 87.3% (Börsch-Supan and Jürges 2005, p. 90ff). The Austrian household response rate of 58.1% indicates that in 58.1% of all households at least one person was willing to answer the questionnaire. These 58.1% are an unweighted total of 1,455 households. The individual response rate of 87.3% shows that 87.3% of all eligible persons in the 1,455 households were successfully interviewed.

All eligible individuals yield a total of 1,986 persons. Excluding those with missing birthdates slightly reduces the sample to 1,969 individuals. Hence the sample includes the following persons:

• persons aged 50 or older, • their partners, if they are living in the same household, even if they are less than 50

years old, • their parents or parents-in-law, if they are living in the same household (who will

definitely be older than 50), • their children, if they are living in the same household and are already aged 50 or

older, • their relatives such as brothers or sisters, if they are living in the same household and

are aged 50 or older, • other persons aged 50 and older, if they are living in the same household.

The sample does not include people such as children or grandchildren below age 50 who live in the same household. Moreover, as already mentioned above, SHARE does not capture individuals living in institutions.8 Since SHARE is designed as a longitudinal survey, future waves of SHARE will also include persons living in institutions for the elderly, as SHARE follows the individuals over time.

In order to have a representative sample, weights were designed both on the individual and on the household level. For every country participating in SHARE, the weights take into account the distribution of persons aged 50 and above by age and sex. There are no weights for individuals below 50, as these persons are only included if they are partners of a person aged 50 and above. These people are not a representative sample of the population below 50 years of age.

1.5 Following waves

From the very beginning, SHARE was designed as a longitudinal survey, i.e. individuals are observed as they age over time, adapt to changed health, economic and family circumstances. Data with time dimensions allow the analysis of such institutional changes as pension reforms or changes in health service. Currently the SHARE management group headed by MEA 8 As an exception, in Denmark persons living in institutions for elderly were also included in the sample.


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works on the design of the follow-up to the current baseline data and has therefore started to develop the European Longitudinal Ageing Survey requested by the European Council in Lisbon in March 2000 (EC 2001).

Wave 2 for SHARE is scheduled to start in October 2006 and will last until late spring 2007.9 SHARE will expand and will include the new accession countries. The new SHARE countries (Ireland, Poland, and the Czech Republic) will have their first wave at that time. In addition, the SHARE team cooperates with non-European countries (Japan and Korea) to conduct a similar comparable study there. In analogy to the American HRS, a two-year survey schedule is planned for the more distant future. Moreover, a module on life histories focusing on employment, family affairs and health is planned as an interim wave for 2008/2009.

9 Financial resources are secured from the EU within the 6th Framework Programme and from the U.S.

National Institute on Ageing.

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2 Overview on SHARE for Austria In this chapter, we want to introduce the different aspects captured by SHARE and present descriptive results on the Austrian data. The current publication is based on weighted data and is therefore limited to individuals aged 50 and above. It uses individual weights for modules that concentrate on individuals, e.g., the modules on demographics, physical health or employment.10 Household weights are applied to modules referring to the household level, e.g., those on housing or consumption.11 The first module (coverscreen) contains basic information on the unweighted sample, all other modules are limited to persons aged 50 and older and take into account weights.

Apart from the 21 modules of the main SHARE questionnaire, an additional seven modules were produced that include weights, generated variables on education, health, assets, income, support and additional information for the household coverscreen.12

2.1 Coverscreen (CV)

At the beginning of the computer-assisted personal interviewing (CAPI), one adult person in a household (household informant) was asked to provide the name, sex, age, marital status and relationship of each household member. Once the coverscreen module was completed, the eligibility status of each person in the household was automatically determined.

The coverscreen module gives a first overview of the household. It is essential for identifying the persons eligible for interviews in the following modules, for merging the data and for finding couples. Some modules concerning households rather than individuals were answered by the designated family, housing, or financial respondents only. These respondents were defined in the coverscreen module.

In most cases, the family respondent was the first eligible person in a household, but for some households another person was chosen to answer questions on such issues as children and social support. The person most familiar with housing matters was chosen as household respondent, and the one most familiar with finances was asked to be the financial respondent. If the first respondent said that finances were kept totally separate, all eligible persons within a household had to answer the questions on financial transfers and assets (for an overview see Table 1 in chapter 3).

Before applying weights, we provide some basic information on the unweighted sample. It includes 1,986 individuals (820 men and 1,166 women). For a total of 1,969 individuals (816 men and 1,153 women) the birthdates were coded and therefore the age could be calculated. Figure 1 shows the distribution of Austrian respondents by sex and age. Persons below age 50 are partners of individuals aged 50 and above. The very low number of

10 More exactly, we applied so-called calibrated individual weights. 11 We applied so-called calibrated household weights. 12 Generated variables are available online:

http://www.share-project.org/index.php?page=Accessthedata&menue=5&sub=


12

men below 50 can be explained by the fact that these men are partners of women aged 50 and above and that male partners are, on average, three years older than their female partners (Austrian Central Statistical Office 2005). Figure 1: Unweighted distribution of Austrian respondents by sex and age

0

50

100

150

200

250

300

350

400

450

<50 50-59 60-69 70-79 80+

Age group

Num

ber o

f res

pond

ents

Men

Women

Source: SHARE “Release 1”, unweighted data for Austria, own calculations

The youngest Austrian respondent was a woman aged 35, the oldest was a 99-year-old woman. The unweighted total of 1,969 respondents live in 1,455 households including 954 households with one eligible person, 488 with two eligible individuals, and 13 households with 3 interviewed persons (see Figure 2). The reader should bear in mind that the number of interviewed persons is not identical with the number of persons living in the corresponding household.

As mentioned above, there are no weights for individuals below 50 and when we apply weights, we have to restrict the calculations to those aged 50 and older. This leaves us with 1,910 individuals (808 men and 1,102 women). Our weights leave the marginal totals unchanged (808 men and 1,102 women). The description of the following modules is based on weighted data.

SHARE for Austria 13

Figure 2: Unweighted distribution of Austrian households by number of interviewed persons

954

488

13

1 person

2 persons

3 persons

Source: SHARE “Release 1”, unweighted data for Austria, own calculations

2.2 Demographics (DN)

Demographic characteristics such as age, sex, country of birth, citizenship, educational level and marital status are among the most important factors for analysing a population and are included in this module. Married couples had to disclose the year of their marriage. For persons living together with a spouse or a partner, the partner was an eligible person and was interviewed separately. All information on the partner can be linked to the respondent by using the corresponding identification numbers. Those who were married and lived separated from their spouse, as well as divorced and widowed persons were asked to state the year of separation. Divorced or widowed respondents were asked to state the year of birth of their former partner and his or her educational degree. Unfortunately, SHARE does not cover the whole partnership biographies but only contains information on the respondents’ current marital status and their current or last partner.13

The demographics module also contains detailed information on parents. If the respondent’s parents were still alive, he/she was asked about their health status, co-residence with the respondent and the distance between the respondent’s and the parent’s place of residence. The demographics module concludes with basic information on siblings (number of siblings and number of brothers and sisters still alive).

Our weighted sample comprises 808 men and 1,102 women, i.e. there is a dominance of women in the dataset. Figure 3 shows the distribution of Austrian respondents aged 50 and above by sex and age. The relatively high number of women aged 80 and above as compared to men is due to losses of men during World War II and women’s higher life expectancy.

13 It is planned to collect partnership biographies in one of the following waves.


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Figure 3: Distribution of Austrian respondents aged 50 and above by sex and age

0

50

100

150

200

250

300

350

400

50-59 60-69 70-79 80+

Age group

Num

ber o

f res

pond

ents

Male

Female

Source: SHARE “Release 1”, weighted data for Austria, own calculations

The marital status of Austrian elderly shows striking differences by sex (Figures 4a

and 4b). Especially at higher ages, i.e. 70 years and above, the percentage of widowed persons was much higher among women as compared to men. In the age group 70 to 79 years, 18% of Austrian men and 55% of Austrian women were widowed; among the interviewed persons aged 80 and above, 37% of the men and three out of four women were widowed. The main reasons for these findings are once more women’s higher life expectancy and fatal casualties during World War II. Figure 4a: Marital status of Austrian men aged 50 and above by age

0% 20% 40% 60% 80% 100%

<50

50-59

60-69

70-79

80+

Age

gro

up

Married and living together w ith spouse Married, living separated from spouse

Never married Divorced

Widow ed



Figure 4b: Marital status of Austrian women aged 50 and above by age

0% 20% 40% 60% 80% 100%

<50

50-59

60-69

70-79

80+A

ge g

roup

Married and living together w ith spouse Married, living separated from spouse

Never married Divorced

Widow ed


2.3 Physical health (PH)

In the physical-health module, participants were first asked about their self-assessed health status, whether or not they have had a chronic or long-term illness and to what extent they have been limited in terms of physical activity as a result of health problems.

The respondents were then asked whether they had been diagnosed as having had a chronic disease during their lifetime and whether they had ever been bothered by physical symptoms lasting at least six months. To answer these questions, respondents could choose from 14 diseases and 11 described symptoms (Mackenbach et al. 2005). Figure 5 shows the prevalence of self-reported chronic diseases for Austria. Among men, the highest rates were found for hypertension, followed by high cholesterol, heart disease and diabetes. Among females, striking numbers suffered from hypertension, followed by high cholesterol, arthritis/rheumatism, and osteoporosis. With regard to cancer, participants were asked in which organ or part of the body they currently had or had had cancer, with 24 possible categories to choose from. Respondents were also asked about medication, namely whether they currently took any medication at least once a week; for answering this question, they could choose from a list of 14 types of drugs.

To calculate the Body Mass Index (BMI), respondents were asked to state their height and weight. The next two groups of questions concerned eyesight and hearing. Further questions involved the use of dentures, inquiring as to whether the respondents were having problems with biting or chewing food.

Finally, limitations regarding the ability to engage in the typical physical activities of daily life were measured using self-reports. Included were both “Activities of Daily Living” (ADL)—which include dressing, getting in and out of bed, eating, etc.—and “Instrumental Activities of Daily Living” (IADL) such as preparing meals, shopping, making phone calls, etc. (Mackenbach et al. 2005). The respondents were also asked whether the help they were receiving met their needs.


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Figure 5: Prevalence of self-reported chronic diseases in percent among Austrians aged 50 and above

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

Heart d

iseas

es

Hypert

ension

High cho

lester

ol

Cerebro

vasc

ular d.

Diabetes

Lung

dise

ase

Asthma

Arthriti

s/rhe

umati

sm

Osteop

orosis

Cance

rUlce

r

Parkins

on

Catarac

ts

Hip/femora

l frac

ture

Men

Women


2.4 Behavioural risks (BR)

In the behavioural risk module, all eligible individuals were asked about their health behaviour with regard to tobacco smoking, alcohol consumption and physical activity.

First, the participants were asked whether they had ever smoked on a daily basis, whether they currently smoked, if so, for how many years they had smoked; and if they had quit smoking, at what age. For each type of tobacco—i.e. cigarettes, cigars/cigarillos and pipes—participants were asked whether they smoked this product now and how much they smoked on average per day.

The participants were then asked how often they had consumed alcoholic beverages—such as beer, wine, cider, spirits or cocktails—over the past six months. The frequency of drinking beer, wine or hard liquor was evaluated in separate questions, where the participants were asked how often they had consumed more than two drinks (‘units’, being cans or glasses) in a single day over the past six months.

SHARE also asked two questions about physical activity. The first concerned vigorous activities such as sports, strenuous housework or a job involving physical labour. The second question on physical activity concerned those activities that require a moderate level of energy, such as gardening, cleaning the car or taking a walk. For both questions, the individuals were asked how often they engaged in such activities; this could be more than once a week, once a week, one to three times a month or hardly ever/never.

Figure 6 shows the prevalence rates for those currently smoking, drinking alcohol regularly (five times or more per week), and hardly ever or never engaging in any physical activity requiring a moderate level of energy. Among men the proportion of those who regularly drink alcohol was strikingly large in comparison to that among women. There were


also many more male than female smokers. On the other hand, the proportion of men hardly ever engaging in physical activities was lower than that of women. Figure 6: Prevalence of behavioural risk factors among Austrians aged 50 and above


2.5 Cognitive function (CF)

In the cognitive function module, the participants’ reading, writing and memory skills were rated or tested. The reading and writing skills were self-reported with performance ranging from excellent to very poor. The word memory test is a sophisticated and useful instrument for the diagnosis of cognitive impairment. As Figure 7 shows, the average number of words recalled decreases strongly with age from 5.8 to around 3.7, for men and women alike.

To check for mental confusion, individuals were asked single questions about which day of the week, day of the month, month and year it was. Then mental ability was tested whereby the participant had to complete five simple numerical calculations with an increasing degree of difficulty. The interviewers stated in the questionnaire whether they had observed any factor that might have influenced the respondent’s test performance. To validate whether the participant completed the task alone or might have had help in answering the questions, the interviewers stated whether other persons were present during this section of the interview.

0%

5%

10%

15%

20%

25%

30%

35%

Current smoker Regularly drinking alcohol No physical activities

Men Women


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Figure 7: Distribution of number of words recalled in the memory test among Austrians aged 50 and above

0

1

2

3

4

5

6

7

50-59 60-69 70-79 80+Age group

Ave

rage

num

ber o

f wor

ds re

calle

dMen

Women

Source: SHARE “Release 1”, weighted data for Austria, own calculations Remark: First trial of memory test

2.6 Mental health (MH)

A person’s mental health is an important aspect of everyday life. The relevance of mental health as an indivisible part of health is widely accepted. Mental illness can drastically reduce the quality of life of those affected and their families. Good mental health is important for individuals as well as for society. At the individual level, it enables people to realise their intellectual and emotional potential and to find and fulfil their roles in social and working life. At the society level, good mental health is important for social and economic welfare. Mental disorders are common; estimates for the adult population in the EU that has suffered from some form of mental ill-health and mental disorder within the past 12 months range from 20% to 27% (EC 2004, Wittchen and Jacobi 2005). Late-life depression is a common disorder affecting 10% to 15% of the population above age 65 (Beekman et al. 1999).

SHARE devotes one module to mental health and, for the first time, provides comparable data on mental health and depressions for Europe. Further interesting results are expected from the longitudinal data. All eligible individuals were asked whether they have felt sad or depressed, whether they have felt guilty, have had problems with sleeping and whether they have kept up their interests. Other questions concerned irritability, appetite, fatigue, concentration, enjoyment, tearfulness and depressions. Based on these items, the EURO-D scale14 could be calculated, i.e. a measure developed by the EURODEP consortium that was validated in an earlier cross-European study of depression prevalence (Prince et al. 1999).

A first comparative analysis of SHARE is consistent with previous studies and shows that depressions are prevalent among women, older people, those who are not married, and

14 The EUROD-scale is implemented in the module on generated health variables.


those who live alone (Dewey and Prince 2005). In the Austrian SHARE data, we also found strong gender differences: 22% among men and 36% among women declared to have felt sad or depressed within the past month. Especially women aged 70 years or older admitted to have had such feelings in a much higher percentage than did men (Figure 8). Figure 8: Percentages of elderly Austrians who had felt sad or depressed within the past month

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50-59 60-69 70-79 80+ Total

Age group

Men

Women


2.7 Health care (HC)

Ageing is associated with increasing health problems and morbidity. Sick persons consult medical doctors, are treated in hospitals or nursing homes, they receive home care, professional care or some domestic help. Sick individuals might have to forgo care because they cannot afford it or because it is not available. Many patients have to pay expenditures out of their own pockets, if services or drugs are not covered or reimbursed by public or private insurances. Moreover, a person’s health insurance system—public, private or voluntary—is very important in case of illness.

Little is known about the way older people get care. SHARE dedicates one module to health-services utilisation and health-care insurances and closes the lack of homogeneity in data collection among countries (van Doorslaer et al. 2004). The multidisciplinarity and longitudinal perspective of SHARE allows us to better understand how elderly Europeans get their care in the wide variety of health-care systems. The output of these studies might lead to projections of health-service utilisation and might serve as a basis for future health-policy decisions in Europe.

Questions on health-service utilisation within the past 12 months included consultations of general practitioners, specialists and dentists, waiting times for consultations, overnight stays in hospitals, reasons for staying in hospitals, inpatient and outpatient surgeries, waiting times for surgeries, and stays in nursing homes. Various kinds of care such as professional nursing care, home care for domestic tasks or meals-on-wheels constituted another part in the health-care module. Those who had received care were asked about the


20

duration and intensity of the care received. Care forgone because of costs and unavailability, as well as out-of-pocket expenses for care were the negative aspects of health care captured by SHARE. Out-of-pocket expenses were divided into (1) hospital inpatient care, (2) outpatient care, (3) expenses for prescribed drugs, and (4) expenses for care in nursing homes, day care-centres, and home-care services. Finally, the health-care module also included questions on basic health insurance, voluntary health insurance and the amount paid for voluntary health care.

First comparative analyses with SHARE confirm a high level of health-service utilisation in old age with the interesting exception of annual dental checks that decrease with age, significantly more medical consultations and more medications taken by women as compared to men, as well as a strong correlation between education and health-service utilisation (Santos-Eggimann et al. 2005).

A first look at overnight stays in hospitals among elderly Austrians reveals increasing percentages with age (Figure 9): Among men and women below 70 less than 20% had been in a hospital overnight during the past 12 months. However, 23% of all men and 30% of all women aged 70 to 79 reported at least one overnight stay in hospital, and among our oldest respondents (aged 80 and more) 39% of all men and 30% of all women were in a hospital overnight at least once. Again we want to point out that the SHARE sample does not include institutionalised persons. Figure 9: Elderly Austrians with at least one overnight stay in hospital during the past 12 months

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50-59 60-69 70-79 80+ Total

Age group

Men

Women


Out-of-pocket payments for outpatient care are rather modest among elderly

Austrians, whereas out-of-pocket expenditures for prescribed drugs are a non-negligible financial burden for them (Figure 10): Roughly one quarter had no out-of-pocket expenses for drugs, one third paid a rather modest amount (between 1 and 99 euros), while one third spent between 100 and 999 euros during the past year. Further analyses are needed to shed more light on these financial burdens for elderly persons in Austria.


Figure 10: Out-of-pocket expenditures for prescribed drugs during the past 12 months among elderly Austrians

28%

37%

34%

1%

0

0.1-99

100-999

1,000-9,999

Source: SHARE “Release 1”, weighted data for Austria, own calculations Remark: The graph does not include “Refusals” and “Don’t knows”.

2.8 Employment and pensions (EP)

In the employment module all eligible individuals were asked about their current job situation. Six categories were offered: worker, retired, unemployed, disabled, homemaker and “other”. Work and retirement were the two prevalent economic activities in the SHARE sample. Figures 11a and 11b indicate the low labour utilisation rates in Austria. Already at ages 50–59, only 64% of all eligible men, and 37% of all eligible women were still working and this number drops quickly. At age 60 and above most of the eligible persons were retired. The lower labour force participation among women reflects a cohort effect and consequently also leads to lower pension entitlement among women at older ages.


22

Figure 11a: Self-reported economic status of elderly Austrian men by age

0%10%20%30%40%50%60%70%80%90%

100%

50 - 59 60 - 69 70 - 79 80 +

Age group

Retired

Worker

All other

Source: SHARE “Release 1”, weighted data for Austria, own calculations Figure 11b: Self-reported economic status of elderly Austrian women by age

0%10%20%30%40%50%60%70%80%90%

100%

50 - 59 60 - 69 70 - 79 80 +

Age group

Retired

Worker

All other


Those currently not employed (including those who already retired) were asked whether they had ever worked. Further job characteristics were recorded for those who currently had or recently had had a job (e.g., whether they worked in one job or had several jobs, employment status, start of job, terms of contract, hours contracted per week, hours worked per week, number of months working, working in public or private sector, size of company). In addition, respondents were asked about their job position and general satisfaction with the job including how demanding the job was, whether it allowed for skill enhancement, job security, job advancement, etc. and finally also about their attitude towards retirement. They were also asked about the income they earned (amount, frequency and composition). Similar though less comprehensive questions on job and payment characteristics were also asked with respect to the secondary job (if applicable). The main


characteristics with respect to the last job (years of working in last job, employment status, size of firm, responsibility for supervising others) were recorded for those who had ever worked, but were not currently employed.

Respondents who were currently retired were asked in detail about their reason for retiring, their attitudes towards retirement and their income in 2003. Those who were currently unemployed or disabled were asked about the reason for their current job status. The income source in retirement was then analysed and respondents were asked when they had first received their old-age pension and how long they had already received it, what was the average payment in 2003 and some further details on its composition. Additionally, all respondents were asked about any regular payments they had received during the year 2003. For each of these regular payments, they were asked for how long they had received them and what had been the average amount of payment. Finally, they were asked about the type of pensions they were entitled to. For each type of pension entitlement, they were asked whether it included health insurance, whether it was compulsory or voluntary, how many years they had been paid for, etc.

The SHARE questionnaire contains income-related questions in different modules.15 Besides the employment module, income variables can also be found in the household income module (HH), the housing module (HO) and the assets module (AS). All income variables were used to construct gross total annual income variables at the individual as well as at the household level. These generated variables are available online.16 These data should be used for further analyses. For the construction of generated income variables and further details on imputation we refer to Brugiavini et al. 2005.

To sum up, SHARE offers a unique dataset with regard to the composition of the pension entitlements of already retired people as well as future pension entitlements and their composition of those still working. Hence, it allows a detailed analysis of the prevalence and future development of the second (private occupational pension arrangements) and third pillars (purely private old-age provision) of the pension system which are rather weak in Austria as compared to the public pensions that constitute the first pillar (cf. Brunner et al. 2005, p. 243).

2.9 Grip strength (GS)

Grip strength is a strong predictor of functional limitations and disability. Grip strength was measured using a hand-held dynamometer twice, using both hands (Mackenbach et al. 2005). For the first right-hand measurement, Figure 12 shows that the average grip strength decreases strongly with age from 47.3 to 31.4 kg among men, and from 30.8 to 19.0 kg among women. 15 The SHARE publication (Börsch-Supan and Jürges 2005, section 6.1) includes a more thorough

discussion on the construction of income with a particular focus on assessing the relevance of corrections for differences in purchasing power, in household size, owner occupation housing (through imputed rent), and tax and social security contributions paid.

16 Generated variables are available online: http://www.share-project.org/index.php?page=Accessthedata&menue=5&sub=


24

Figure 12: Mean grip strength by sex and age group among Austrians aged 50 and above

0

5

10

15

20

25

30

35

40

45

50

50-59 60-69 70-79 80+

Age group

Ave

rage

num

ber o

f wor

ds re

calle

d Men

Women

Source: SHARE “Release 1”, weighted data for Austria, own calculations Remark: First measurement of grip strength in the right hand

2.10 Walking speed (WS)

This test involved recording how much time it took the respondents to walk a distance of 250 centimetres at their usual walking speed. Only those aged 75 years and older who felt safe and who were not suffering from any health problems that prevented them from walking were asked to do the test. The length of time spent walking was recorded in two examinations, during which the interviewer recorded the type of floor surface and the type of walking aid used during the test.

2.11 Children (CH)

The questions in the children module were put to the family respondents with at least one child. For all children who were still alive (including foster, adopted and stepchildren as well as children of the partner) sex, year of birth, whether it was a natural child, and the distance to the place of the child’s residence were asked. Most children lived at a distance that allowed frequent personal contacts (Figure 13).


Figure 13: Where do the children of Austrians aged 50 and above live?

0% 5% 10% 15% 20% 25%

In the same household

In the same building

Less than 1 kilometre aw ay

Betw een 1 and 5 kilometres aw ay




More than 500 kilometres aw ayMore than 500 kilometres aw ay in another

country

Source: SHARE “Release 1”, weighted data for Austria, own calculations, family respondents aged 50 and above with at least one child

For up to four children17 additional information was collected on their marital status, contact with the child, when he or she had left the parental household, employment status, basic and further education. Moreover, the respondents were asked how many children this child had, and what was the year of birth of the youngest child. Among all respondents, the average number of children was 1.93. If a respondent had more than four children, the data contain only the basic information mentioned above.

2.12 Social support (SP)

Older people give to and receive practical help from other family members in many ways. The SHARE questionnaire investigated three crucial areas of family support: personal care received from outside the household, care given to others outside the household, and looking after grandchildren. All female family respondents were asked to answer the questions in the social support module.

The family respondents were asked whether they personally or their spouses or partners had received help from any family member, friend or neighbour outside the household during the past twelve months. They were also asked to state who had provided this help, and how often and how many hours they had been helped. About 29% of all respondents reported to have received help, whereby older persons had received help more often than younger persons (Figure 14). Moreover, information on the type of help was collected (e.g., personal care, practical household help or help with paperwork).

17 The four children were selected as follows: The oldest four children living closest to their parents were

chosen (see readme.txt at the SHARE homepage).


26

Figure 14: Proportion of respondents who had received help from outside the household and who had helped others outside the household

0%5%

10%15%20%25%30%35%40%45%50%

50-59 60-69 70-79 80+

Age group

Gave help

Received help


All eligible persons were asked whether and whom they had given help to (including family members outside the household, friends or neighbours), as well as the type and frequency of help. These questions were asked for up to three family members outside the household. About 25% of all respondents reported to have given help, whereby older persons had given help less often than younger persons (Figure 14). Additionally, those who had grandchildren were asked whether and how often they had looked after their grandchildren during the past 12 months. Finally the respondents who did not live in a single household were asked whether they had given personal help to someone living in the same household or whether they had received personal care from someone in the household.

2.13 Financial transfers (FT)

The questions in the financial transfer module were put to those respondents who had stated to be the financial respondent in the household and to those respondents who had indicated that finances were totally separate.

The financial transfer module captured two types of transfers: gifts and cash transfers. All respondents were asked whether they had made a financial or material gift of 250 Euro or more during the past 12 months and to whom and for which reason this gift had been made as well as the amount that was given. All respondents were then asked whether they had received a financial or material gift of 250 Euro or more during the past 12 months. The donors of these gifts as well as the amount and the reasons for making the gift were recorded. Finally, the respondents were asked whether they had ever received a gift or inheritance worth more than 5,000 Euro and the amount, year of receipt and the donor were recorded. Hence, for each transfer the respondents provided information about the donor and recipient, the value and motive.


As indicated in Figure 15, the general trend is that older Austrians are much more likely to give financial gifts than to receive them, and further analysis indicates that financial transfers are predominantly directed to descending generations—primarily children and, with increasing own age, to grandchildren (Börsch-Supan et al. 2005, p.181). Figure 15: Number of respondents who have given or received 250 Euro during the past 12 months

020406080

100120140160180200

50-59 60-69 70-79 80+

Age group

Num

ber o

f res

pond

ents

Give

Receive


2.14 Housing (HO)

The questions in the housing module were put to the household respondents and aimed at obtaining basic information on housing and living arrangements as well as the residential mobility of the elderly Austrian population covered by SHARE. As mentioned earlier, income-related questions in the housing module were used to construct gross total annual income variables at the individual as well as at the household level. Moreover, wealth-related variables were constructed based on the housing and assets modules. Both sets of generated variables are available online18 and should be used for further analyses.

As argued in Kohli et al. 2005, home ownership and economic well-being are closely linked and hence “home ownership and pensions may to some extent be seen as alternative routes to social security in old age” (Kohli et al. 2005, p. 42). As indicated in Figure 16, ownership status decreases with age. In part, this effect can be explained by a cohort effect. During the economic boom of the 1950s and 1960s, ownership rates increased considerably. In addition to ownership status, detailed questions on the rent payment were asked. Respondents who owned an apartment/house were asked in which way the property had been acquired, whether mortgages and loans had to be paid and whether they had second homes or other real estate.

18 Generated variables are available online:

http://www.share-project.org/index.php?page=Accessthedata&menue=5&sub=


28

Further questions concerned the size and equipment of residences and their immediate environment. To capture residential mobility, there was a question about the duration of stay in the present accommodation. A key issue in SHARE is to yield more insight into the potential of physically impaired people to remain in their own home. Figure 16: Ownership status among Austrians aged 50 and above

0%10%20%30%40%50%

60%70%80%90%

100%

50-59 60-69 70-79 80+

Age group

Rent free

Subtenant

Tenant

Ow ner


2.15 Household income (HH)

The questions in the household income module were put to the household respondents. The module investigated whether any household member (except the respondent) had contributed to the household income and what was the amount he/she had contributed. It was also recorded whether the household had received any other payments such as housing allowances, child benefits, poverty relief, etc. and the respective amounts. As mentioned earlier, income-related questions in the household income module were used to construct gross total annual income variables at the individual as well as at the household level.

2.16 Consumption (CO)

The questions in the consumption module were answered by the household respondents. As discussed in Browning and Madsen 2005, consumption is regarded as one of the best direct measures of material well-being.

Household respondents were asked about the amount spent on food consumed at home, food consumed outside the home and the amount spent on telephone calls and charges during the past 12 months. In addition, they were asked how much they had spent, on average, on all goods and services per month during the past 12 months. Two questions addressed whether the households were able to make ends meet and whether the situation had improved as compared to the previous year. As mentioned earlier, income-related questions in the


consumption module were used to construct gross total annual income variables at the individual as well as at the household level.

2.17 Assets (AS)

The questions in this module were answered by the financial respondents and by all persons who reported that finances were totally separate. They were asked to quantify their assets, indicate the assets’ composition and financial asset ownership. As discussed in Christelis et al. 2005 this set of questions provides insights into the composition (financial vs. real assets) of wealth before and after retirement. As mentioned earlier, income-related questions in the assets module were used to construct wealth-related variables and gross total annual income variables at the individual as well as at the household level.

The categories of financial assets comprised bank and other transaction accounts, government and corporate bonds, stocks, mutual funds, individual retirement accounts, contractual savings for housing, and life insurance policies. As indicated in Figure 17, bank accounts constituted the most prevalent financial asset in all age groups, followed by contractual saving for housing and life insurance. A clear negative age trend was visible for all assets, i.e. older individuals held less financial assets. Note that the share of bonds, stocks and mutual funds is relatively small in Austria and nobody in our dataset held an individual retirement account because this was unusual in the past.

Furthermore, the amount and interest from each financial asset were recorded. Additional questions were asked about real assets including primary and other residences, own business and vehicles, along with the respective amounts. Finally, any outstanding debts were recorded. Figure 17: Asset ownership among Austrians aged 50 and above

0%

10%

20%

30%

40%

50%

60%

50 - 59 60 - 69 70 - 79 80+

Age group

Bank accounts, transactionaccounts or saving accounts

Government or corporate bonds

Stocks or shares

Mutual funds or managedinvestment accounts

Contractual saving for housing

Life insurance

Source: SHARE “Release 1”, weighted data for Austria, own calculations Remark: The graph does not include those who answered “none of these”. Moreover, no Austrian respondents said they had individual retirement accounts because this was very unusual in the past.


30

2.18 Activities (AC)

SHARE collects information on participation in, motivation for and satisfaction with social activities in the past month for all individuals. These activities cover voluntary or charity work; care for sick or disabled adults; helping family, friends or neighbours; educational or training courses; participation in sports, social or other kinds of clubs; participation in religious organisations; participation in political or community-related organisations. By not only asking for the participation in social activities but also for motivations and satisfaction we gain deeper insight into special aspects of the allocation of time among elderly individuals in different cultural spheres. “SHARE provides a unique opportunity to relate the allocation of time by elderly individuals to their demographic characteristics as well as to their health status” (Croda and Gonzalez-Chapela, 2005). Future waves of SHARE will permit a dynamic perspective of activities among the elderly population.

First analyses depict three levels of volunteering in Europe. First, the Mediterranean ‘low participation’ countries, secondly countries with a medium level of activities (Germany, France, Switzerland and Austria), and thirdly, ‘high participation’ countries (Sweden, Denmark and The Netherlands) (Hank and Erlinghagen 2005, Erlinghagen and Hank 2005).

Figure 18 offers an overview of the proportion of Austrian respondents who engaged in several activities in the month prior to the interview. In Austria, helping the family, friends or neighbours and religious engagement are rather frequent among the elderly, moreover, sports and social or other kinds of clubs are quite popular. Religious activities and care for sick or disabled adults are more important for women, whereas sports and social clubs, political organisations and helping others play a mayor role in the second half of men’s lives (and presumably also before).


Figure 18: Participation in social activities among Austrians aged 50 and above


2.19 Expectations (EX)

“Households’ beliefs about future events play a central role in forward-looking models of decision-making” (Guiso et al. 2005, p. 332). One module of the computer-assisted personal interviewing (CAPI) programme concentrated on subjective expectation for the future and covered inheritances and inheriting. Furthermore, not-retired individuals had to evaluate their self-perceived perspectives of their future pension by estimating the chance that the government would reduce the pension they were entitled to as well as the chance that the government would raise the retirement age before they retired. On a scale from 0% to 100%, individuals had to estimate how likely various events might be.

In Austria, 72% of all men and 63% of all women estimated the chance of their leaving any inheritance—together with their wife/husband/partner—to be 50 to 50 or higher. SHARE reveals a rather high potential for inheritances and intergenerational transfers, as 55% of the male respondents and 47% of the female respondents expected to leave a rather high inheritance (50,000 euro or more) together with their husband/wife/partner (estimated chance: 50% or higher).

0% 5% 10% 15% 20% 25% 30%

Taken part in a political communityorganisation

Taken part in a religious organisation

Gone to a sport, social or other kind of club

Educational or training course

Helping family, friends or neighbours

Care for sick or disabled adult

Voluntary or charity work Men Women


32

Figure 19: Chance of 50% or higher to leave an inheritance together with their husband/wife/partner, as estimated by Austrians aged 50 and above

18% 17%

55%47%

0%10%20%30%40%50%60%70%80%90%

100%

Men Women

Leaving an inheritance totalling 50,000 euro or more

Leaving an inheritance less than 50,000 euro


A first look at the expectations of employed or self-employed persons aged 50 and above reveals rather pessimistic expectations: Eight out of ten men and two thirds of women expected that there was a rather high chance that the government would reduce the pension they were entitled to before they retired. Moreover, two thirds among men and six out of ten women believed that the government would raise their retirement age.

2.20 Interviewer observations (IV)

This module included the main characteristics of the interviewer such as sex, age and educational degree. It also contained information on the circumstances of the interview, e.g., the presence of other persons during the interview and the respondent’s willingness to answer. Moreover the interviewer noted whether the respondent had asked for clarification during the interview and whether he/she had understood the questions. In addition, the interviewer provided information for all household respondents, the household’s location and the type of building.

2.21 Drop-off questionnaire (Q)

The computer-assisted personal interviewing (CAPI) programme of SHARE was supplemented by a self-completion paper-and-pencil questionnaire, the so-called drop-off questionnaire. It included questions that might be particularly sensitive for the respondent (e.g., on social and psychological well-being, health care, religiosity and political affiliation). The interviewer handed the questionnaire to each eligible individual in the household, some completed it immediately and returned it to the interviewer, others answered later and returned the questionnaire by mail. The preliminary drop-off response rate for all countries


was 81.3%. In Austria, 90.0% of all individuals who had completed the interview returned the drop-off questionnaire.

One focus in the drop-off questionnaire was on psychological well-being with questions on satisfaction with life and a list of statements that describe life or how a person feels. Individuals had to answer to what extent they agreed with statements such as “My age prevents me from doing the things I would like to do” or “I feel that life is full of opportunities”. More general questions on physical well-being captured an aspect of health that was not covered in the physical health module by asking questions on chronic or long-term illness. Individuals had to answer to what extent they agreed to statements such as “My sleep was restless”, “I felt that everything I did was an effort” or “I had a lot of energy”.

“As populations age, health systems must adapt and develop approaches that meet the needs of frail patients with multiple chronic conditions. Geriatric assessment, prevention, rehabilitation and integrated care are key components of this evolution” (Santos-Eggimann et al. 2005, p. 141). The need for indicators of quality of care delivered to the elderly in health care systems is recognized, and SHARE is the first data source that includes such indicators for European comparisons. Three groups of indicators for the quality of care are contained in the drop-off questionnaire: (1) indicators of geriatric assessment in primary care (e.g., information collected by physicians, advice for physical activity, anamnesis of falls, examination of balance, weight control, medical anamnesis of drugs), (2) screening and prevention (e.g., flu vaccination, eye examination, mammograms, endoscopic examinations, tests for occult blood), and (3) quality of care for joints pain (Santos-Eggimann et al. 2005).

Objective aspects of accommodation (indoor bath, indoor toilet, central heating, air condition, elevator, balcony) or pets as well as subjective aspects (not enough space, not enough light, insufficient heating or cooling) and questions on the area surrounding the accommodation (facilities such as pharmacy, medical care, grocery within a reasonable distance; public transportation; pollution or noise; vandalism or crime) provide a detailed picture of the living conditions of elderly persons.

Social well-being is another aspect of a person’s private domain. SHARE tries to capture it with questions on the balance within a partnership, on appreciation for providing help within the family and on the satisfaction with the rewards received for one’s efforts. Expectations of each other, family duties, conflicts within the family and division of household chores and responsibilities shed light on the daily living and family bonds of elderly persons.

As an example we depict the agreement to the statement “My age prevents me from doing the things I would like to do”. We found that agreement increases with increasing age. Whereas 30% of the Austrians in their fifties feel sometimes or often limited by their age, 75% among those aged 80 years and more perceive it as a burden that prevents them from doing the things they would like to do (Figure 20).


34

Figure 20: Agreement with the statement “My age prevents me from doing the things I would like to” among Austrians aged 50 and above

0%

20%

40%

60%

80%

100%

50-59 60-69 70-79 80+ Total

Age group

Never

Rarely

Sometimes

Often

Source: SHARE “Release 1”, weighted data for Austria, own calculations, men and women Remark: The graph does not include missings.

Living arrangements of elderly Austrians are quite good (Figure 21): 87% of the sample had sufficient facilities such as pharmacy, medical care, grocery and the like within reasonable distance, 78% had sufficient possibilities to use public transportation in the area immediately surrounding their accommodation. Three out of four felt they had enough light and nine out of ten had sufficient heating or cooling facilities in their accommodation. SHARE shows that elderly Austrians are fond of animals and have pets: Three out of ten currently had a cat in their household, 15% had a dog, some had a bird, a fish or other pets, so that a total of 51% had at least one pet in their household. Figure 21: Selected aspects of living conditions among Austrians aged 50 and above

Source: SHARE “Release 1”, weighted data for Austria, own calculations, men and women

0% 20% 40% 60% 80% 100%

Sufficient heating

Enough light

Sufficient facilities

Sufficient public transportation


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Kommissionsverlag. Beekman, A. T. F., J. R. M. Copeland and M.J. Prince (1999) Review of Community Prevalence of

Depression in Later Life. British Journal of Psychiatry 174:307-311. Börsch-Supan, A. (2005) Introduction to SHARE and its First Results. Slides presented by Axel

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Börsch-Supan, A., A. Brugiavini, H. Jürges, J. Mackenbach, J. Siegrist and G. Weber (eds.) (2005) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag.

Börsch-Supan, A. and H. Jürges (eds.) (2005) The Survey of Health, Ageing and Retirement in Europe – Methodology. Mannheim: MEA Eigenverlag.

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Brugiavini A., E. Croda, O. Paccagnella, R. Rainato and G. Weber (2005) Generated Income Variables in SHARE Release 1. In: Börsch-Supan, A. et al. (eds.) The Survey of Health, Ageing and Retirement in Europe – Methodology. Mannheim: MEA Eigenverlag, 105-113.

Brunner, J.K., C. Riess and R. Winter-Ebmer (2005) Public and Private Pension Claims. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 241-245.

Christelis, D., T. Jappelli and M. Padula (2005) Wealth and Portfolio Composition. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 310-317.

Croda, E. and J. Gonzalez-Chapela (2005) How Do European Older Adults Use Their Times? In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 265-271.

Dewey, M. E. and M. J. Prince (2005) Mental Health. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 108-117.

EC (2001) The Contribution of Public Finances to Growth and Employment: Improving Quality and Sustainability. European Commission, DG for Economic and Financial Affairs. (http://ec.europa.eu/economy_finance/publications/european_economy/2001/a2001_01_en.pdf)

EC (2004) Action for Mental Health. Activities co-funded from the European Community Public Health Programmes 1997-2004. Luxembourg: European Commission, Health and Consumer Protection DG.

Erlinghagen, M. and K. Hank (2005) Participation of Older Europeans in Volunteer Work. MEA Discussion Paper 71-2005.

Guiso, L., A. Tiseno and J. Winter (2005) Expectations. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 332-338.

Hank K. and M. Erlinghagen (2005) Volunteer Work. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 259-264.

Kohli, M., H. Künemund and T. Zähle (2005) Housing and Living Arrangements. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 41-47.

Mackenbach, J., M. Avendano, K. Andersen-Ramberg and A. R. Aro (2005) Physical Health. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 82-88.


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Prince, M. J. et al. (1999) Development of the EURO-D Scale – a European Union Initiative to Compare Symptoms of Depression in 14 European Centres. British Journal of Psychiatry 174:330-38.

Santos-Eggimann B., J. Junod and S. Cornaz (2005): Health Services Utilisation in Older Europeans. In: Börsch-Supan, A. et al. (eds.) Health, Ageing and Retirement in Europe – First Results from the Survey of Health, Ageing and Retirement in Europe. Mannheim: MEA Eigenverlag, 82-88, 133-140.

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37

3 Linear counts by age and gender This section aims to give an overview of all variables coded in the Austrian SHARE-dataset and contains for all variables cross tabulations with the respective variable in the rows and age-groups in the columns. The SHARE main questionnaire consists of 20 modules, it is supplemented by a self-completion questionnaire19. We dedicate one chapter to each module.

Table 1: Modules of SHARE

Module Content Respondents CV Coverscreen All individuals DN Demographics All individuals PH Physical Health All individuals BR Behavioural Risks All individuals CF Cognitive Function All individuals MH Mental Health All individuals HC Health Care All individuals EP Employment and Pensions All individuals GS Grip Strength All individuals WS Walking Speed All individuals CH Children Family respondent SP Social Support Family respondent FT Financial Transfers Financial respondent20 HO Housing Household respondent HH Household Income Household respondent CO Consumption Household respondent AS Assets Financial respondent AC Activities All individuals EX Expectations All individuals IV Interviewer Observations All individuals Q Self-administered Questionnaire All individuals

Some modules concerning households rather than individuals are only answered by

the designated family, housing, or financial respondent. These respondents were defined at the beginning of the interview. The family respondent was mostly the first eligible person in a household, but for some households another person was chosen to be the family respondent who had to, e.g., answer questions on children and social support. The one most familiar with questions on housing was chosen to be the household respondent, the one most familiar with finances was defined to be the financial respondent. If the first respondent said that finances were kept totally separate, all eligible persons within a household had to answer the questions

19 Apart from the 21 modules of the main SHARE questionnaire, another seven modules were produced

that include weights, generated variables on education, health, assets, income, support and additional information for the household coverscreen.

20 The questions in the FT module and the AS module are asked to the financial respondents and to all persons who respond that the finances are totally separated.


38

on financial transfers and assets. Table 1 gives an overview of the modules included in SHARE and the selected respondents.

The Austrian SHARE-dataset includes information on an unweighted total of 1,986 individuals (820 men and 1,166 women). Due to missing year of birth only for 1,969 persons (816 men and 1,153 women) age can be calculated. 21 We use calibrated individual or household weights22 to have a sample representative for Austria by sex and age. Our weighted sample includes 1,910 individuals (808 men and 1,102 women) and therefore all cross tabulations in this publication are restricted to those weighted 1,910 persons. All tables are computed by age-groups for men and for women separately. If some tables sum up to smaller numbers, the reasons are missing values or system-missings. Moreover, certain questions are not posed to all respondents but only to special subgroups and remarks indicate which subgroups were interviewed.

Questions that allow for multiple responses show up as dummy variables. A value ‘1’ means that the respondent has selected the particular category and has given the particular category as answer. In case of a value ‘0’ the respondent either did not give the particular category as answer or answered with “Don’t know” or “Refusal” or “Missing”. Unfortunately, dummies do not account for missing values or “Don’t know” or “Refusal”. For cross tabulations on income and assets, but also for numeric variables like year and weeks we used classifications to have concise tables.23

We briefly describe methodological aspects for variables on income and assets: Respondents who did not know (DK) or refused (RF) the answer to an amount question, entered a loop and were asked if the amount was higher or lower than a certain value. This procedure was repeated a second and a third time and is called an unfolded sequence of bracket questions. Part of the “Refusals” or “Don’t knows” were substituted by generated variables. Gross total annual income variables for 2003 at the individual as well as at the household level containing individual and household income information for each respondent as well as wealth-related variables were computed and are available online as generated variables.

21 The age of a person is computed by using the month of birth, the year of birth and the interview date.

Month of birth and year of birth are given in the coverscreen module and in the demographics module and should be identical. Unfortunately, they differ for 23 records (6 men and 17 women) in the Austrian dataset. As information in the DN module is more reliable, the age of a person is computed by the information given in the DN module. According to Stephanie Struck at MEA, the DN-module should be more reliable than the CV-module, because the CV-module was filled out by one member of the household for all other members, while the DN-module was filled out by the respective household member, or a proxy.

22 For the modules HO, HH and CO we used calibrated household weights, for all other modules calibrated individual weights were applied.

23 For tables with less than 5 respondents we use no classifications and include all levels of the corresponding variable.

39

3.1 Coverscreen (CV) The questions in the coverscreen module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table GENDER 50-59 60-69 70-79 80+ TotalMale 338 254 164 52 808Female 378 306 281 136 1,102Total 716 560 445 188 1,910 Table CVID: Coverscreen id of respondent Coverscreen identification number of respondent Men 50-59 60-69 70-79 80+ TotalFirst respondent (1) 260 207 136 39 643Second respondent (2) 72 46 27 13 159Third respondent (3) 5 0 1 0 6Total 338 254 164 52 808Remark: Each member of a selected household gets an identification number which is called coverscreen id. Women 50-59 60-69 70-79 80+ TotalFirst respondent (1) 247 211 227 119 804Second respondent (2) 130 95 50 13 289Third respondent (3) 1 0 3 4 9Total 378 306 281 136 1,102Remark: Each member of a selected household gets an identification number which is called coverscreen id. Table MOBIRTH: Month of birth Men 50-59 60-69 70-79 80+ TotalJanuary 31 23 15 6 75February 26 22 14 3 66March 36 21 20 7 84April 33 24 22 10 88May 31 21 15 3 71June 28 21 14 3 65July 23 22 10 2 57August 21 24 9 3 57September 26 17 11 2 56October 22 16 13 6 57November 24 26 14 6 69December 37 18 8 1 64Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalJanuary 24 30 19 9 82February 40 24 22 13 99March 47 37 25 12 121April 34 22 37 17 110May 37 32 29 7 104June 33 29 32 16 111July 20 26 22 13 80August 27 27 13 10 77September 43 25 25 7 100October 26 19 14 16 75November 17 17 18 10 63December 31 17 26 7 80Total 378 306 281 136 1,102

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Table YRBIRTH: Year of birth Men 50-59 60-69 70-79 80+ Total 1900-1909 0 0 0 1 1 1910-1919 0 0 0 13 13 1920-1929 0 0 76 38 114 1930-1939 0 121 88 0 210 1940-1949 183 133 0 0 316 1950-1959 154 0 0 0 154 Total 338 254 164 52 808 Remark: The values range from 1909 to 1954. There are inconsistencies in the information of the birthdate in the CV-Module and in the DN-Module (see introduction). Women 50-59 60-69 70-79 80+ Total 1900-1909 0 0 0 4 4 1910-1919 0 0 0 47 47 1920-1929 0 0 128 84 212 1930-1939 0 147 151 1 299 1940-1949 231 159 2 0 392 1950-1959 148 0 0 0 148 Total 378 306 281 136 1,102 Remark: The values range from 1904 to 1959. There are inconsistencies in the information of the birthdate in the CV-Module and in the DN-Module (see introduction). Table MSTAT: Living with spouse/partner “Are you … ” Men 50-59 60-69 70-79 80+ Total Living with a spouse 253 206 116 27 603 Living with a partner 16 7 5 1 29 Living as a single 68 41 43 24 176 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Living with a spouse 238 156 86 14 495 Living with a partner 19 8 3 1 31 Living as a single 121 141 192 121 575 Total 378 305 281 136 1,101 Table CVIDP: Coverscreen id of spouse/partner Coverscreen identification number of spouse/partner Coverscreen id of spouse/partner 50-59 60-69 70-79 80+ Total First respondend (1) 66 47 27 13 154 Second respondent (2) 204 168 95 15 481 Third respondent (3) 1 0 0 0 1 Total 271 214 122 28 636 Remark: This table includes those men who report in question mstat that they are living with a spouse or a partner. The coverscreen identification number of spouse/partner has to be used to identify the respondent’s partner. Women 50-59 60-69 70-79 80+ Total First respondend (1) 129 95 51 8 282 Second respondent (2) 129 71 39 8 247 Third respondent (3) 1 0 0 0 1 Total 260 166 90 15 531 Remark: This table includes those women who report in question mstat that they are living with a spouse or a partner. The coverscreen identification number of spouse/partner has to be used to identify the respondent’s partner.

41

Table RELRPERS: Relation to respondent “What is his/her relationship to you?” Men 50-59 60-69 70-79 80+ TotalChild 6 0 0 0 6Child-in-law 2 0 0 0 2Sibling 0 0 1 0 1Other non-relative (specify) 1 0 0 0 1Total 9 0 1 0 10 Women 50-59 60-69 70-79 80+ TotalChild 2 1 0 0 3Child-in-law 1 0 0 0 1Parent 0 0 1 5 6Parent-in-law 0 0 2 3 5Sibling 0 1 0 0 1Other relative (specify) 0 0 0 1 1Total 3 1 3 9 17 Table HSIZE: Household size Variable generated by the system Men 50-59 60-69 70-79 80+ Total1 person 53 37 37 23 1502 persons 169 187 104 25 4863 persons 54 18 11 2 854 persons 35 3 3 2 435 persons 11 2 6 0 196 persons 11 7 3 0 217 persons 4 0 0 0 4Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total1 person 89 116 160 104 4682 persons 196 152 102 25 4753 persons 52 18 3 8 814 persons 23 4 6 0 325 persons 12 5 6 0 226 persons 6 12 3 0 217 persons 1 0 1 0 2Total 378 306 281 136 1,102 Table FINSEP: Finances totally separate “Later in this interview, we will be asking questions about family finances, for example about savings for old-age and financial support for children and other relatives. We would need to ask these questions for only one person in a couple, except when they are not informed about each other’s savings or support given to relatives. Should we ask these questions to each of you separately, or can we ask them only once for both of you together?” Men 50-59 60-69 70-79 80+ TotalSeparately 100 63 33 4 201Together 171 151 88 24 434Total 271 214 121 28 635Remark: The questions in the FT (financial transfers) module and the AS (assets) module are asked to the financial respondents or to those persons who answer that the finances are totally separated. Women 50-59 60-69 70-79 80+ TotalSeparately 78 54 24 4 161Together 181 113 66 11 371Total 260 167 90 15 532Remark: The questions in the FT (financial transfers) module and the AS (assets) module are asked to the financial respondents or to those persons who answer that the finances are totally separated.

42

Table DUMFAMR: Dummy family respondent Variable generated by the system to identify the family respondent. Men 50-59 60-69 70-79 80+ Total Not family respondent 77 50 26 13 166 Family respondent 260 204 138 39 642 Total 338 254 164 52 808 Remark: The questions in the CH (children) module and the social support (SP) module are asked to only one person in the household. This person is the family respondent. Women 50-59 60-69 70-79 80+ Total Not family respondent 116 89 53 9 266 Family respondent 263 217 229 128 836 Total 378 306 281 136 1,102 Remark: The questions in the CH (children) module and the social support (SP) module are asked to only one person in the household. This person is the family respondent. Table DUMFINR: Dummy financial respondent Variable generated by the system Men 50-59 60-69 70-79 80+ Total Not financial respondent 87 54 29 15 185 Financial respondent 251 200 135 38 623 Total 338 254 164 52 808 Remark: The questions in the FT (financial transfers) module and the AS (assets) module are asked to the financial respondents or to those persons who answer that the finances are totally separated. Women 50-59 60-69 70-79 80+ Total Not financial respondent 109 88 53 9 258 Financial respondent 270 218 229 128 844 Total 378 306 281 136 1,102 Remark: The questions in the FT (financial transfers) module and the AS (assets) module are asked to the financial respondents or to those persons who answer that the finances are totally separated. Table DUMHHR: Dummy household respondent Variable generated by the system to identify the household respondent. Men 50-59 60-69 70-79 80+ Total Not household respondent 88 51 28 15 182 Household respondent 249 203 136 38 626 Total 338 254 164 52 808 Remark: The questions in the HO (housing) module, the HH (housing income) module and the CO (consumption) module are asked to only one person in the household. This person is the household respondent. Women 50-59 60-69 70-79 80+ Total Not household respondent 117 92 56 21 285 Household respondent 262 214 225 116 817 Total 378 306 281 136 1,102 Remark: The questions in the HO (housing) module, the HH (housing income) module and the CO (consumption) module are asked to only one person in the household. This person is the household respondent. Table NRELIG: Number of eligibles Number of eligibles persons in a household. Variable generated by the system Men 50-59 60-69 70-79 80+ Total 1 eligible person 58 40 39 24 161 2 eligible persons 265 211 118 27 621 3 eligible persons 14 2 6 1 23 4 eligible persons 1 1 1 0 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total 1 116 137 181 105 537 2 251 164 95 25 535 3 10 5 6 7 27 4 2 1 0 0 3 Total 378 306 281 136 1,102

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3.2 Demographics (DN) The questions in the demographics module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table DN002: Month of birth “In which month were you born?” Men 50-59 60-69 70-79 80+ TotalJanuary 31 22 15 6 74February 28 22 14 3 67March 34 20 20 7 81April 33 23 22 10 87May 31 21 15 3 71June 26 21 14 3 65July 25 22 10 2 59August 21 24 9 3 57September 26 17 11 2 56October 22 17 13 6 58November 25 25 14 6 69December 37 19 8 1 64Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalJanuary 26 30 19 9 83February 40 27 22 12 100March 44 37 25 12 119April 34 21 37 17 109May 37 31 29 7 104June 35 30 31 16 111July 20 25 23 13 81August 27 25 13 11 75September 43 25 25 7 100October 25 21 14 16 76November 19 17 19 10 65December 31 16 25 7 78Refusal 0 1 0 0 1Total 378 306 281 136 1,102 Table DN003: Year of birth “In which year were you born?” Men 50-59 60-69 70-79 80+ Total1900-1909 0 0 0 1 11910-1919 0 0 0 13 131920-1929 0 0 76 38 1141930-1939 0 122 88 0 2111940-1949 182 132 0 0 3141950-1959 155 0 0 0 155Total 338 254 164 52 808Remark: The values range from 1909 to 1954. Women 50-59 60-69 70-79 80+ Total1900-1909 0 0 0 4 41910-1919 0 0 0 48 481920-1929 0 0 129 84 2131930-1939 0 147 152 0 2991940-1949 231 159 0 0 3901950-1959 148 0 0 0 148Total 378 306 281 136 1,102Remark: The values range from 1904 to 1954.

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Table DN004: Country of birth

“Were you born in Austria?” Men 50-59 60-69 70-79 80+ Total Yes 315 231 145 46 737 No 22 22 18 7 69 Total 337 253 163 52 806 Women 50-59 60-69 70-79 80+ Total Yes 349 273 255 120 997 No 28 33 24 16 101 Total 377 306 279 136 1,098 Table DN006: Year came to live in country “In which year did you come to live in Austria? Men 50-59 60-69 70-79 80+ Total 1910-1919 0 0 0 1 1 1930-1939 0 0 3 0 3 1940-1949 4 7 5 5 21 1950-1959 3 2 2 0 7 1960-1969 3 2 1 0 5 1970-1979 5 5 0 0 10 1980-1989 5 2 1 1 8 1990-1999 3 2 2 0 7 2000 and later 1 2 4 0 8 Total 23 22 18 7 70 Remark: This table includes those men who report in question dn004 that they were not born in Austria. The values range from 1915 to 2004. Women 50-59 60-69 70-79 80+ Total 1920-1929 0 0 2 1 3 1930-1939 0 2 2 1 5 1940-1949 1 11 13 11 36 1950-1959 2 5 2 1 11 1960-1969 4 5 0 0 9 1970-1979 11 2 0 0 13 1980-1989 7 1 0 1 9 1990-1999 1 4 4 1 10 2000 and later 2 3 0 0 5 Refusal 0 0 1 0 1 Total 28 33 25 17 103 Remark: This table includes those women who report in question dn004 that they were not born in Austria. The values range from 1928 to 2004. Table DN007: Citizenship country “Do you have Austrian citizenship?” Men 50-59 60-69 70-79 80+ Total Yes 327 248 155 52 783 No 10 5 8 0 23 Total 337 253 163 52 806 Women 50-59 60-69 70-79 80+ Total Yes 370 299 273 132 1,074 No 7 7 6 4 24 Total 377 306 279 136 1,098

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Table DN010: Highest educational degree obtained “Please look at card 2. What is the highest school leaving certificate or school degree that you have obtained?” Men 50-59 60-69 70-79 80+ TotalEducation country specific cat1: Volksschule 72 64 54 14 204Education country specific cat2: Hauptschule 146 115 69 25 354Education country specific cat3: Gymnasium (öffent.) mit Matura

45 16 9 2 72

Education country specific cat4: Gymnasium (privat) mit Matura

11 11 5 1 28

Education country specific cat5: Berufsbildende Schule mit Matura

28 20 8 3 59

Education country specific cat6: Berufsbildende Schule ohne Matura

31 27 16 7 81

None 1 0 0 0 1Other type 3 1 3 0 6Total 337 253 163 52 806 Women 50-59 60-69 70-79 80+ TotalEducation country specific cat1: Volksschule 62 81 103 61 307Education country specific cat2: Hauptschule 174 136 111 47 467Education country specific cat3: Gymnasium (öffent.) mit Matura

28 13 11 5 58


9 5 2 4 21


30 18 11 5 65


68 50 40 9 167

None 1 0 0 1 2Other type 5 3 0 3 11Total 377 306 279 136 1,098 Table DN012d01: Further education c1 “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 167 122 79 30 398Selected 170 132 86 22 410Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 220 194 205 104 722Selected 158 112 77 33 380Total 378 306 281 136 1,102 Table DN012d02: Further education c2 “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 299 222 145 48 714Selected 38 32 19 4 94Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 367 300 270 134 1,071Selected 11 6 11 2 31Total 378 306 281 136 1,102

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Table DN012d03: Further education c3 “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Fachakademie (Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …)) Men 50-59 60-69 70-79 80+ Total Not selected 302 240 160 51 754 Selected 35 14 4 1 54 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 345 274 257 129 1,005 Selected 34 32 24 8 97 Total 378 306 281 136 1,102 Table DN012d04: Further education c4 “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Fachhochschulabschluss) Men 50-59 60-69 70-79 80+ Total Not selected 326 248 160 51 785 Selected 11 6 4 1 23 Total 338 254 164 52 808 Remark: Fachhochschulen exist in Austria only since 1994. It is questionable if those male respondents who said to have a “Fachhochschulabschluss” answered correctly. Women 50-59 60-69 70-79 80+ Total Not selected 366 302 278 136 1,082 Selected 12 4 3 0 20 Total 378 306 281 136 1,102 Remark: Fachhochschulen exist in Austria only since 1994. It is questionable if those female respondents who said to have a “Fachhochschulabschluss” answered correctly. Table DN012d05: Further education c5 “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Universität) Men 50-59 60-69 70-79 80+ Total Not selected 315 240 158 49 762 Selected 22 14 6 3 46 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 362 303 279 134 1,078 Selected 16 3 2 2 24 Total 378 306 281 136 1,102 Table DN012d09: Still in further education or training1 “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Still in further education or training) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 305 280 136 1,100 Selected 0 1 1 0 2 Total 378 306 281 136 1,102

1 Variables dn012d06 to dn012d08 do not apply for Austria.

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Table DN012d10: No further education “Please look at card 3. Which degrees of higher education or vocational training do you have?” (No further education) Men 50-59 60-69 70-79 80+ TotalNot selected 284 206 119 37 646Selected 53 48 45 16 162Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 257 175 127 52 611Selected 121 131 154 84 491Total 378 306 281 136 1,102 Table DN012d11: Other further education “Please look at card 3. Which degrees of higher education or vocational training do you have?” (Other further education) Men 50-59 60-69 70-79 80+ TotalNot selected 323 241 159 47 770Selected 15 13 5 6 38Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 350 288 268 128 1,033Selected 29 18 14 9 69Total 378 306 281 136 1,102 Table DN014: Marital status “Please look at card 4. What is your marital status?” Men 50-59 60-69 70-79 80+ TotalMarried and living together with spouse 252 208 115 27 602Married, living separated from spouse 8 5 4 0 16Never married 38 15 8 4 65Divorced 30 13 6 2 52Widowed 10 13 30 19 71Total 337 253 163 52 806Remark: There are inconsistencies for the variable mstat in the CV-Module and the variable dn014 in the DN-Module. Both variables refer to the marital status. Women 50-59 60-69 70-79 80+ TotalMarried and living together with spouse 236 157 87 14 494Married, living separated from spouse 10 10 1 1 22Never married 43 25 23 15 106Divorced 54 40 15 4 113Widowed 34 74 153 101 363Total 377 306 279 136 1,098Remark: There are inconsistencies for the variable mstat in the CV-Module and the variable dn014 in the DN-Module. Both variables refer to the marital status.

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Table DN015: Year of marriage, if living together “In which year did you get married?” Men 50-59 60-69 70-79 80+ Total 1940-1949 0 0 6 9 15 1950-1959 0 19 54 2 75 1960-1969 34 107 20 1 162 1970-1979 108 30 6 2 147 1980-1989 28 4 4 0 36 1990-1999 11 3 0 0 15 2000 and later 9 2 1 0 12 Refusal 0 1 0 0 1 Don't know 0 0 1 0 1 Total 191 166 92 15 463 Remark: Year of marriage was only asked to one partner in a couple. The values range from 1940 to 2004. Women 50-59 60-69 70-79 80+ Total 1940-1949 0 0 3 3 7 1950-1959 0 11 29 3 43 1960-1969 30 47 3 1 81 1970-1979 58 5 0 0 63 1980-1989 19 2 1 0 21 1990-1999 4 1 0 0 4 2000 and later 1 0 0 0 1 Total 111 66 37 8 221 Remark: Year of marriage was only asked to one partner in a couple. The values range from 1945 to 2004. Table DN017: Year of marriage, if living separated “In which year did you get married?” Men 50-59 60-69 70-79 80+ Total 1940-1949 0 0 1 0 1 1950-1959 0 0 1 0 1 1960-1969 0 2 2 0 4 1970-1979 6 2 0 0 8 1980-1989 0 2 0 0 2 Don't know 1 0 0 0 1 Total 7 5 4 0 16 Remark: This table includes those men who report in question dn014 that they are married and living separated from their spouse. The values range from 1946 to 1982. Women 50-59 60-69 70-79 80+ Total 1950-1959 0 3 1 1 5 1960-1969 4 6 0 0 9 1970-1979 2 1 0 0 3 1980-1989 4 0 0 0 4 2000 and later 1 1 0 0 2 Total 11 10 1 1 23 Remark: This table includes those women who report in question dn014 that they are married and living separated from their spouse. The values range from 1950 to 2002. Table DN018: Since when divorced “In which year did you get divorced?” Men 50-59 60-69 70-79 80+ Total 1940-1949 0 0 0 1 1 1960-1969 0 1 0 0 1 1970-1979 1 2 2 0 5 1980-1989 15 5 3 1 23 1990-1999 10 5 0 0 15 2000 and later 4 1 0 0 4 Refusal 0 0 1 0 1 Total 29 13 6 2 50 Remark: This table includes those men who report in question dn014 that they are divorced. The values range from 1948 to 2001.

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Women 50-59 60-69 70-79 80+ Total1940-1949 0 0 1 0 11950-1959 0 0 1 2 31960-1969 0 3 6 0 91970-1979 12 9 2 1 241980-1989 17 19 2 0 391990-1999 18 8 0 0 262000 and later 7 2 1 0 9Refusal 1 1 0 1 3Don't know 0 0 1 0 1Total 55 41 15 4 116Remark: This table includes those women who report in question dn014 that they are divorced. The values range from 1945 to 2004. Table DN019: Since when widowed “In which year did you become a widow/a widower?” Men 50-59 60-69 70-79 80+ Total1970-1979 1 0 2 0 31980-1989 2 1 4 2 91990-1999 4 7 13 8 312000 and later 2 5 10 9 26Refusal 0 0 1 0 1Total 10 12 30 19 71Remark: This table includes those men who report in question dn014 that they are widowed. The values range from 1974 to 2001. Women 50-59 60-69 70-79 80+ Total1940-1949 0 0 0 4 41950-1959 0 0 1 2 31960-1969 0 3 4 4 121970-1979 3 9 13 11 361980-1989 3 18 36 26 821990-1999 14 30 66 36 1472000 and later 12 12 26 12 61Refusal 0 0 1 2 3Don't know 0 1 1 2 4Total 33 72 148 99 353Remark: This table includes those women who report in question dn014 that they are widowed. The values range from 1943 to 2004. Table DN020: Year of birth of former partner “In which year was your ex-/late husband/wife born?” Men 50-59 60-69 70-79 80+ Total1910-1919 0 0 1 3 41920-1929 0 0 11 14 251930-1939 0 5 19 2 251940-1949 17 21 6 1 451950-1959 28 3 0 0 311960-1969 2 1 0 0 31990-1999 0 0 1 0 1Refusal 0 0 2 0 2Don't know 0 1 0 0 1Total 47 30 39 21 137Remark: This table includes those men who report in question dn014 that they are either married and living separated from spouse, divorced or widowed. The values range from 1913 to 1994. Unplausible values have to be excluded for specific analyses.

50

Women 50-59 60-69 70-79 80+ Total 1900-1909 0 1 4 17 23 1910-1919 0 4 21 46 72 1920-1929 5 15 96 38 154 1930-1939 5 73 40 1 119 1940-1949 64 27 0 0 91 1950-1959 18 2 0 0 20 1960-1969 1 0 0 0 1 1990-1999 0 0 1 0 1 2000 and later 0 1 0 0 1 Refusal 3 1 1 3 8 Don't know 0 0 2 0 2 Total 97 123 166 106 492 Remark: This table includes those women who report in question dn014 that they are either married and living separated from spouse, divorced or widowed. The values range from 1901 to 2003. Unplausible values have to be excluded for specific analyses. Table DN021: Highest educational degree of former partner “Please look at card 2. What is the highest school leaving certificate or school degree you former partner has obtained?” Men 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 7 9 18 9 43 Education country specific cat2: Hauptschule 21 10 17 8 56 Education country specific cat3: Gymnasium (öffent.) mit Matura

6 3 2 1 12


2 2 0 0 5


0 1 0 0 1


6 5 3 1 15

None 1 0 0 2 3 Don't know 2 0 0 0 2 Total 47 30 39 21 137 Remark: This table includes those men who report in question dn014 that they are either married and living separated from spouse, divorced or widowed. Women 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 12 31 53 35 131 Education country specific cat2: Hauptschule 51 59 67 45 223 Education country specific cat3: Gymnasium (öffent.) mit Matura

8 13 11 10 42


5 2 2 3 12


8 8 14 3 32


8 6 17 4 35

None 1 0 0 1 2 Other type (also abroad) 2 2 2 3 10 Refusal 1 0 0 1 2 Don't know 0 2 0 0 2 Total 97 123 166 106 492 Remark: This table includes those women who report in question dn014 that they are either married and living separated from spouse, divorced or widowed.

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Table DN023d01: Further education of former partner c1 „Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 317 239 151 50 757Selected 21 15 13 2 51Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 331 250 200 86 867Selected 47 56 81 50 235Total 378 306 281 136 1,102 Table DN023d02: Further education of former partner c2 “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 369 288 266 131 1,055Selected 9 18 15 5 47Total 378 306 281 136 1,102 Table DN023d03: Further education of former partner c3 “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Fachakademie (Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …)) Men 50-59 60-69 70-79 80+ TotalNot selected 331 253 161 51 797Selected 6 1 3 1 11Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 300 272 131 1,079Selected 2 6 9 5 23Total 378 306 281 136 1,102 Table DN023d04: Further education of former partner c4 “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Fachhochschulabschluss) Men 50-59 60-69 70-79 80+ TotalNot selected 334 252 163 52 801Selected 4 2 1 0 7Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 363 295 270 129 1,057Selected 15 11 11 8 45Total 378 306 281 136 1,102

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Table DN023d05: Further education of former partner c5 “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Universität?) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table DN023d09: Former partner still in further education or training2 “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Still in further education or training) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 280 136 1,101 Selected 0 0 1 0 1 Total 378 306 281 136 1,102 Table DN023d10: Former partner no further education “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (No further education) Men 50-59 60-69 70-79 80+ Total Not selected 324 245 143 34 747 Selected 13 9 21 18 61 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 359 278 241 104 982 Selected 19 28 40 33 120 Total 378 306 281 136 1,102 Table DN023d11: Former partner other further education “Please look at card 3. Which degrees of higher education or vocational training does your former partner have?“ (Other further education) Men 50-59 60-69 70-79 80+ Total Not selected 336 251 162 52 802 Selected 1 3 2 0 6 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 302 270 131 1,077 Selected 4 4 11 5 25 Total 378 306 281 136 1,102 Table DN026_1: Is natural mother still alive “Is your natural mother still alive?” Men 50-59 60-69 70-79 80+ Total Yes 154 31 1 0 185 No 179 222 161 52 615 Total 333 253 162 52 800 2 Variables dn023d06 to dn023d08 do not apply for Austria.

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Women 50-59 60-69 70-79 80+ TotalYes 153 42 2 0 197No 216 261 276 136 889Refusal 0 1 0 0 1Don't know 1 0 0 0 1Total 370 304 278 136 1,088 Table DN027_1: Age of death of mother “How old was your mother when she died?” Men 50-59 60-69 70-79 80+ Total20-29 0 1 0 0 130-39 1 2 3 2 940-49 8 10 5 2 2550-59 21 10 7 0 3860-69 34 50 32 7 12370-79 75 68 53 19 21480-89 38 69 53 16 17690-99 5 18 10 6 39100-109 0 0 1 1 2Refusal 0 1 2 0 3Don't know 4 2 1 1 8Total 185 230 167 54 637Remark: This table includes those men who report in dn026_1 that their mother is dead. The values range from 25 to 104. Women 50-59 60-69 70-79 80+ Total20-29 1 2 0 0 330-39 1 5 7 4 1740-49 9 4 10 10 3450-59 17 19 15 13 6460-69 54 40 55 21 17070-79 75 85 77 37 27480-89 46 87 83 33 24990-99 9 18 28 12 67100-109 0 0 1 0 1Refusal 4 2 0 4 10Don't know 1 2 1 2 6Total 217 263 278 137 896Remark: This table includes those women who report in dn026_1 that their mother is dead. The values range from 22 to 100. Table DN028_1: Age of natural mother “How old is your mother now?” Men 50-59 60-69 70-79 80+ Total60-69 4 0 0 0 470-79 62 0 0 0 6280-89 61 21 0 0 8290-99 8 6 1 0 15Total 135 27 1 0 163Remark: This table includes those men who report in question dn026_1 that their mother is still alive.The values range from 65 to 99. Unplausible values have to be excluded for specific analyses. Women 50-59 60-69 70-79 80+ Total60-69 1 0 0 0 170-79 72 1 0 0 7380-89 69 30 1 0 10190-99 5 9 1 0 15Total 148 40 2 0 190Remark: This table includes those women who report in question dn026_1 that their mother is still alive.The values range from 69 to 99. Unplausible values have to be excluded for specific analyses.

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Table DN030_1: Where does mother live “Please look at card 5. Where does your mother live?” Men 50-59 60-69 70-79 80+ Total In the same household 9 0 0 0 9 In the same building 6 3 0 0 9 Less than 1 kilometre away 19 1 0 0 20 Between 1 and 5 kilometres away 26 7 1 0 34 Between 5 and 25 kilometres away 32 8 0 0 40 Between 25 and 100 kilometres away 24 6 0 0 29 Between 100 and 500 kilometres away 14 2 0 0 16 More than 500 kilometres away in another country 6 0 0 0 6 Total 135 27 1 0 163 Remark: This table includes those men who report in question dn026_1 that their mother is still alive. Women 50-59 60-69 70-79 80+ Total In the same household 1 1 0 0 3 In the same building 7 2 0 0 9 Less than 1 kilometre away 24 7 0 0 31 Between 1 and 5 kilometres away 30 7 0 0 37 Between 5 and 25 kilometres away 34 9 0 0 43 Between 25 and 100 kilometres away 27 8 2 0 38 Between 100 and 500 kilometres away 12 4 0 0 16 More than 500 kilometres away 2 1 0 0 3 More than 500 kilometres away in another country 9 2 0 0 11 Total 148 40 2 0 190 Remark: This table includes those women who report in question dn026_1 that their mother is still alive. Table DN032_1: Personal contact with mother during past 12 months “During the past twelve months, how often did you have contact with your mother, either personally, by phone or mail?” Men 50-59 60-69 70-79 80+ Total Daily 17 6 1 0 23 Several times a week 38 9 0 0 47 About once a week 34 4 0 0 39 About every two weeks 16 3 0 0 19 About once a month 9 3 0 0 12 Less than once a month 8 3 0 0 11 Never 6 0 0 0 6 Total 127 27 1 0 155 Remark: This table includes those men who report in question dn030_1 that their mother lives not in the same household but somewhere else. Women 50-59 60-69 70-79 80+ Total Daily 45 12 0 0 57 Several times a week 45 12 0 0 58 About once a week 32 7 0 0 39 About every two weeks 11 2 1 0 14 About once a month 6 1 0 0 8 Less than once a month 6 1 1 0 8 Never 1 2 0 0 3 Total 146 39 2 0 187 Remark: This table includes those women who report in question dn030_1 that their mother lives not in the same household but somewhere else.

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Table DN033_1: Health of mother “How would you describe the health of your mother?” Men 50-59 60-69 70-79 80+ TotalVery good 9 1 0 0 10Good 34 5 1 0 40Fair 76 14 0 0 90Poor 14 6 0 0 21Very poor 1 0 0 0 1Don't know 1 0 0 0 1Total 135 27 1 0 163Remark: This table includes those men who report in question dn026_1 that their mother is still alive. Women 50-59 60-69 70-79 80+ TotalVery good 7 2 0 0 9Good 46 8 0 0 54Fair 67 16 1 0 84Poor 25 10 1 0 36Very poor 3 4 0 0 7Total 148 40 2 0 190Remark: This table includes those women who report in question dn026_1 that their mother is still alive. Table DN026_2: Is natural father still alive “Is your natural father still alive?” Men 50-59 60-69 70-79 80+ TotalYes 71 4 0 0 75No 264 249 162 52 728Don't know 3 0 1 0 3Total 337 253 163 52 806 Women 50-59 60-69 70-79 80+ TotalYes 57 9 0 0 66No 316 296 278 136 1,027Refusal 0 1 0 0 1Don't know 2 0 0 0 2Total 376 306 278 136 1,096 Table DN027_2: Age of death of father “How old was your father when he died?” Men 50-59 60-69 70-79 80+ Total20-29 0 10 2 0 1230-39 5 19 5 5 3440-49 13 16 8 2 3950-59 26 12 17 6 6160-69 67 50 28 11 15670-79 101 66 56 9 23280-89 44 60 32 17 15490-99 1 9 10 2 23Refusal 0 1 2 0 3Don't know 12 10 4 1 27Total 269 254 165 53 741Remark: This table includes to men who report in question dn026_2 that their father is dead. The values range from 20 to 98.

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Women 50-59 60-69 70-79 80+ Total 20-29 1 11 1 0 13 30-39 4 14 14 3 35 40-49 15 22 25 8 70 50-59 37 17 28 18 99 60-69 75 59 46 30 210 70-79 112 95 84 36 327 80-89 54 58 62 32 205 90-99 9 15 5 2 31 100-109 0 0 2 0 2 Refusal 2 4 1 3 11 Don't know 8 3 12 5 28 Total 318 298 279 137 1,032 Remark: This table includes those women who report in question dn026_2 that their father is dead. The values range from 21 to 102. Table DN028_2: Age of natural father “How old is your father now?” Men 50-59 60-69 70-79 80+ Total 70-79 24 0 0 0 24 80-89 32 1 0 0 32 90-99 3 3 0 0 6 Total 59 3 0 0 62 Remark: This table includes those men who report in question dn026_2 that their father is still alive. The values range from 70 to 95. Women 50-59 60-69 70-79 80+ Total 70-79 21 0 0 0 21 80-89 26 8 0 0 33 90-99 4 1 0 0 5 Don't know 1 0 0 0 1 Total 53 8 0 0 61 Remark: This table includes those women who report in question dn026_2 that their father is still alive. The values range from 73 to 94. Table DN030_2: Where does father live “Please look at card 5. Where does your father live?” Men 50-59 60-69 70-79 80+ Total In the same household 2 0 0 0 2 In the same building 6 1 0 0 6 Less than 1 kilometre away 10 0 0 0 10 Between 1 and 5 kilometres away 10 0 0 0 10 Between 5 and 25 kilometres away 17 2 0 0 19 Between 25 and 100 kilometres away 8 1 0 0 9 Between 100 and 500 kilometres away 5 0 0 0 5 Total 59 3 0 0 62 Remark: This table includes those men who report in question dn026_2 that their father is still alive. Women 50-59 60-69 70-79 80+ Total In the same building 1 0 0 0 1 Less than 1 kilometre away 6 2 0 0 9 Between 1 and 5 kilometres away 11 2 0 0 13 Between 5 and 25 kilometres away 14 2 0 0 16 Between 25 and 100 kilometres away 8 1 0 0 9 Between 100 and 500 kilometres away 6 1 0 0 7 More than 500 kilometres away 1 0 0 0 1 More than 500 kilometres away in another country 5 0 0 0 5 Total 53 8 0 0 61 Remark: This table includes those women who report in question dn026_2 that their father is still alive.

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Table DN032_2: Personal contact with father during past 12 months “During the past twelve months, how often did you have contact with your father, either personally, by phone or mail?” Men 50-59 60-69 70-79 80+ TotalDaily 11 0 0 0 11Several times a week 20 3 0 0 22About once a week 12 1 0 0 13About every two weeks 5 0 0 0 5About once a month 3 0 0 0 3Less than once a month 2 0 0 0 2Never 3 0 0 0 3Total 57 3 0 0 60Remark: This table includes those men who report in question dn030_1 that their father lives not in the same household but somewhere else. Women 50-59 60-69 70-79 80+ TotalDaily 14 2 0 0 16Several times a week 11 4 0 0 14About once a week 14 1 0 0 15About every two weeks 4 1 0 0 5About once a month 3 1 0 0 4Less than once a month 2 0 0 0 2Never 4 0 0 0 4Total 53 8 0 0 61Remark: This table includes those women who report in question dn030_1 that their father lives not in the same household but somewhere else. Table DN033_2: Health of father “How would you describe the health of your father?” Men 50-59 60-69 70-79 80+ TotalVery good 1 1 0 0 2Good 22 1 0 0 22Fair 24 1 0 0 25Poor 11 1 0 0 12Very poor 0 1 0 0 1Don't know 1 0 0 0 1Total 59 3 0 0 62Remark: This table includes those men who report in question dn026_2 that their father is still alive. Women 50-59 60-69 70-79 80+ TotalVery good 2 1 0 0 3Good 19 2 0 0 21Fair 21 2 0 0 24Poor 6 3 0 0 9Very poor 2 1 0 0 3Don't know 1 0 0 0 1Total 53 8 0 0 61Remark: This table includes those women who report in question dn026_2 that their father is still alive. Table DN034: Ever had any siblings “Have you ever had any siblings?” (Including non-biological siblings) Men 50-59 60-69 70-79 80+ TotalYes 271 187 118 37 613No 66 66 45 16 193Total 337 253 163 52 806 Women 50-59 60-69 70-79 80+ TotalYes 294 237 202 104 837No 82 68 75 32 257Refusal 0 2 0 1 3Total 377 306 278 136 1,097

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Table DN035: Oldest youngest child “Were you the oldest child, the youngest child, or somewhere in-between?” Men 50-59 60-69 70-79 80+ Total Oldest 113 65 47 9 234 Youngest 82 62 32 11 186 In-between 75 59 38 17 189 Total 269 186 118 36 609 Remark: This table includes those men who report in question dn034 that they have or had siblings. Women 50-59 60-69 70-79 80+ Total Oldest 113 90 69 35 307 Youngest 95 71 54 32 251 In-between 87 76 80 37 280 Total 295 237 203 104 838 Remark: This table includes those women who report in question dn034 that they have or had siblings. Table DN036: How many brothers alive “How many brothers do you have that are still alive?” (Including non-biological siblings) Men 50-59 60-69 70-79 80+ Total 0 63 62 47 21 193 1 106 68 36 9 219 2 60 36 19 7 122 3 20 12 14 0 45 4 12 5 2 0 19 5 3 2 0 0 5 6 2 1 0 0 3 7 0 2 0 0 2 Don't know 1 0 0 0 1 Total 269 186 118 36 609 Remark: This table includes those men who report in question dn034 that they have or had siblings. Women 50-59 60-69 70-79 80+ Total 0 96 75 94 74 339 1 100 106 79 22 307 2 75 34 17 4 131 3 7 12 8 3 31 4 8 5 3 0 17 5 5 1 0 0 5 6 1 2 1 0 4 7 0 1 0 0 1 8 1 1 0 0 2 Don't know 1 0 0 0 1 Total 295 237 203 104 838 Remark: This table includes those women who report in question dn034 that they have or had siblings. Table DN037: How many sisters alive “How many sisters do you have that are still alive?” (Including non-biological siblings) Men 50-59 60-69 70-79 80+ Total 0 89 64 39 23 216 1 90 74 49 12 226 2 56 28 18 1 103 3 16 12 8 0 36 4 9 5 2 0 15 5 6 2 1 0 9 6 1 1 0 0 2 7 0 1 0 0 1 Don't know 1 0 0 0 1 Total 269 186 118 36 609 Remark: This table includes those men who report in question dn034 that they have or had siblings.

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Women 50-59 60-69 70-79 80+ Total0 66 73 78 64 2811 137 105 71 23 3372 52 39 32 13 1363 25 10 13 0 474 9 5 6 1 215 2 2 2 1 76 1 3 0 1 57 1 1 0 0 29 1 0 1 0 2Total 295 237 203 104 838Remark: This table includes those women who report in question dn034 that they have or had siblings. Table DN038: Interviewer check dn Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 329 242 153 48 772Respondent and proxy 9 8 9 3 29Proxy only 0 3 1 1 5Total 337 253 163 52 806 Women 50-59 60-69 70-79 80+ TotalRespondent only 371 305 266 122 1,064Respondent and proxy 3 2 8 5 18Proxy only 2 0 3 9 14Total 377 306 278 136 1,097

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3.3 Physical Health (PH) The questions in the physical health module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table RANDOM NR: Health in general question versions Random variable physical health, generated automatically Men 50-59 60-69 70-79 80+ Total 1 158 147 80 29 413 2 180 107 85 23 395 Total 338 254 164 52 808 Remark: A random variable with values 1 or 2 is given to every respondent. Those men with random variable 1 are asked general questions on health at the beginning of the physical health module (ph002 and ph003), those men with random variable 2 have to answer the general questions at the end of the physical health module (ph052 and ph053).Variables ph002 and ph053 are identical, variables ph003 and ph052 are also identical. Women 50-59 60-69 70-79 80+ Total 1 200 154 143 64 562 2 178 151 138 72 540 Total 378 306 281 136 1,102 Remark: A random variable with values 1 or 2 is given to every respondent. Those women with random variable 1 are asked general questions on health at the beginning of the physical health module (ph002 and ph003), those women with random variable 2 have to answer the general questions at the end of the physical health module (ph052 and ph053). Variables ph002 and ph053 are identical, variables ph003 and ph052 are also identical. Table PH002: Health in general question v1 “Would you say your health is …” Men 50-59 60-69 70-79 80+ Total Very good 35 27 7 1 70 Good 68 70 35 15 188 Fair 46 45 33 9 132 Bad 6 8 5 2 22 Very bad 5 0 1 2 8 Total 161 150 81 30 421 Remark: Those men with random variable 1 are asked general questions on health at the beginning of the physical health odule (ph002 and ph003). Variables ph002 and ph053 are identical. Women 50-59 60-69 70-79 80+ Total Very good 47 25 3 7 82 Good 100 66 51 14 231 Fair 41 50 58 23 172 Bad 8 12 22 16 58 Very bad 2 2 6 4 14 Total 199 154 140 64 558 Remark: Those women with random variable 1 are asked general questions on health at the beginning of the physical health module (ph002 and ph003). Variables ph002 and ph053 are identical. Table PH003: Health in general question v2 “Would you say your health is …” Men 50-59 60-69 70-79 80+ Total Excellent 33 13 9 1 56 Very good 49 28 12 2 92 Good 51 37 33 8 129 Fair 30 20 18 8 75 Poor 14 5 11 3 33 Total 176 104 82 22 384 Remark: Those men with random variable 2 have to answer the general questions at the end of the physical health module (ph052 and ph053). Variables ph003 and ph052 are identical.

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Women 50-59 60-69 70-79 80+ TotalExcellent 21 10 9 2 43Very good 50 44 23 3 120Good 73 56 52 19 199Fair 26 33 44 35 138Poor 7 8 10 13 39Total 178 151 137 72 538Remark: Those women with random variable 2 have to answer the general questions at the end of the physical health module (ph052 and ph053). Variables ph003 and ph052 are identical. Table PH004: Long-term illness “Some people suffer from chronic or long-term health problems. By long-term we mean it has troubled you over a period of time or is likely to affect you over a period of time. Do you have any olng-term health-problems, illness, disability or infirmity?” Men 50-59 60-69 70-79 80+ TotalYes 134 98 70 20 321No 204 155 94 31 484Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalYes 134 126 154 73 487No 243 180 123 63 609Total 377 305 278 136 1,096 Table PH005: Limited activities “For the past six months at least, to what extent have you been limited because of health problems in activities people usually do?” Men 50-59 60-69 70-79 80+ TotalSeverely limited 43 20 26 12 101Limited, but not severely 86 78 60 19 242Not limited 209 156 78 20 462Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalSeverely limited 35 35 49 46 165Limited, but not severely 104 106 128 51 389Not limited 237 164 101 39 541Total 377 305 278 136 1,096 Table PH006d01: Heart attack or other heart problems “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (A heart attack including myocardial infarction or coronary thrombosis or any other heart problem including congestive heart failure) Men 50-59 60-69 70-79 80+ TotalNot selected 323 228 121 44 716Selected 15 26 43 9 92Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 366 284 256 111 1,017Selected 13 22 25 25 85Total 378 306 281 136 1,102

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Table PH006d02: High blood pressure „Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (High blood pressure or hypertension) Men 50-59 60-69 70-79 80+ Total Not selected 271 176 108 36 591 Selected 67 78 56 17 217 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 284 199 158 89 730 Selected 94 107 124 47 372 Total 378 306 281 136 1,102 Table PH006d03: High blood cholesterol “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (High blood cholesterol) Men 50-59 60-69 70-79 80+ Total Not selected 279 201 141 51 672 Selected 58 53 23 1 136 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 336 237 240 121 934 Selected 43 69 41 15 168 Total 378 306 281 136 1,102 Table PH006d04: Stroke or cerebral vascular disease “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (A stroke or a cerebral vascular disease) Men 50-59 60-69 70-79 80+ Total Not selected 330 238 155 47 770 Selected 8 16 9 6 38 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 301 262 127 1,063 Selected 5 5 19 10 39 Total 378 306 281 136 1,102 Table PH006d05: Diabetes “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Diabetes or high blood sugar) Men 50-59 60-69 70-79 80+ Total Not selected 311 224 145 49 729 Selected 27 30 19 3 79 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 348 290 254 125 1,018 Selected 30 16 27 11 84 Total 378 306 281 136 1,102

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Table PH006d06: Chronic lung disease “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (A chronic lung disease such as chronic bronchitis or emphysema) Men 50-59 60-69 70-79 80+ TotalNot selected 321 245 160 49 776Selected 16 9 4 3 32Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 373 299 272 130 1,074Selected 6 7 9 7 28Total 378 306 281 136 1,102 Table PH006d07: Asthma “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Asthma) Men 50-59 60-69 70-79 80+ TotalNot selected 325 240 153 50 768Selected 13 14 11 2 40Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 366 288 269 124 1,046Selected 13 18 13 12 56Total 378 306 281 136 1,102 Table PH006d08: Arthritis or rheumatism “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Arthritis, including osteoarthritis, or rheumatism) Men 50-59 60-69 70-79 80+ TotalNot selected 314 234 151 45 744Selected 23 20 13 8 64Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 346 260 236 116 957Selected 33 46 46 21 145Total 378 306 281 136 1,102 Table PH006d09: Osteoporosis “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Osteoporosis) Men 50-59 60-69 70-79 80+ TotalNot selected 326 248 159 49 782Selected 11 6 5 3 26Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 340 262 242 109 953Selected 38 44 39 27 149Total 378 306 281 136 1,102

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Table PH006d10: Cancer or malignant tumour “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Cancer or a malignant tumour, including leukemia or lympoma, but excluding minor skin cancers) Men 50-59 60-69 70-79 80+ Total Not selected 333 248 163 50 794 Selected 5 6 1 2 14 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 365 292 258 131 1,047 Selected 13 14 23 5 55 Total 378 306 281 136 1,102 Table PH006d11: Stomach, duodenal or peptic ulcer “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Stomach or duodenal ulcer, peptic ulcer) Men 50-59 60-69 70-79 80+ Total Not selected 310 239 158 49 757 Selected 27 15 6 3 51 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 363 288 263 128 1,042 Selected 16 18 18 9 60 Total 378 306 281 136 1,102 Table PH006d12: Parkinson disease “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Parkinson disease) Men 50-59 60-69 70-79 80+ Total Not selected 338 252 163 50 803 Selected 0 2 1 2 5 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 304 280 133 1,096 Selected 0 2 1 3 6 Total 378 306 281 136 1,102 Table PH006d13: Cataracts “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Cataracts) Men 50-59 60-69 70-79 80+ Total Not selected 338 242 153 40 773 Selected 0 12 11 12 35 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 370 297 241 106 1,014 Selected 8 9 40 31 88 Total 378 306 281 136 1,102

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Table PH006d14: Hip or femoral fracture “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Hip fracture or femoral fracture) Men 50-59 60-69 70-79 80+ TotalNot selected 336 253 162 51 803Selected 1 1 2 1 5Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 304 275 128 1,085Selected 1 2 6 9 17Total 378 306 281 136 1,102 Table PH006d15: Other conditions “Please look at card 6. Has a doctor ever told you that you had any of the conditions on this card? Please tell me the number or numbers of the conditions.” (Other long-term conditions, not yet mentioned) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table PH008d01: Cancer in brain “In which organ or part of the body have you or have you had cancer?” (Brain) Men 50-59 60-69 70-79 80+ TotalNot selected 336 253 164 52 806Selected 1 1 0 0 2Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 278 136 1,099Selected 0 0 3 0 3Total 378 306 281 136 1,102 Table PH008d02: Cancer in oral cavity “In which organ or part of the body have you or have you had cancer?” (Oral cavity) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table PH008d03: Cancer in larynx “In which organ or part of the body have you or have you had cancer?” (Larynx) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

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Table PH008d04: Cancer in other pharynx “In which organ or part of the body have you or have you had cancer?” (Pharynx) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table PH008d05: Cancer in thyroid “In which organ or part of the body have you or have you had cancer?” (Thyroid) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 280 136 1,101 Selected 0 0 1 0 1 Total 378 306 281 136 1,102 Table PH008d06: Cancer in lung “In which organ or part of the body have you or have you had cancer?” (Lung) Men 50-59 60-69 70-79 80+ Total Not selected 336 253 164 52 806 Selected 1 1 0 0 2 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 305 280 136 1,100 Selected 0 1 1 0 2 Total 378 306 281 136 1,102 Table PH008d07: Cancer in breast “In which organ or part of the body have you or have you had cancer?” (Breast) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 373 298 274 135 1,081 Selected 5 8 7 1 21 Total 378 306 281 136 1,102 Remark: This question is posed to women only. Table PH008d08: Cancer in oesophagus “In which organ or part of the body have you or have you had cancer?” (Oesophagus) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102

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Table PH008d09: Cancer in stomach “In which organ or part of the body have you or have you had cancer?” (Stomach) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 163 52 807Selected 0 0 1 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table PH008d10: Cancer in liver “In which organ or part of the body have you or have you had cancer?” (Liver) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 280 136 1,101Selected 0 0 1 0 1Total 378 306 281 136 1,102 Table PH008d11: Cancer in pancreas “In which organ or part of the body have you or have you had cancer? Pancreas?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table PH008d12: Cancer in kidney “In which organ or part of the body have you or have you had cancer?” (Kidney) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table PH008d13: Cancer in prostate “In which organ or part of the body have you or have you had cancer?” (Prostate) Men 50-59 60-69 70-79 80+ TotalNot selected 337 253 164 52 806Selected 1 1 0 0 2Total 338 254 164 52 808Remark: This question is posed to men only. Table PH008d14: Cancer in testicle “In which organ or part of the body have you or have you had cancer?” (Testicle) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

68 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table PH008d15: Cancer in ovary “In which organ or part of the body have you or have you had cancer?” (Ovary) Women 50-59 60-69 70-79 80+ Total Not selected 378 304 279 136 1,097 Selected 1 2 2 0 5 Total 378 306 281 136 1,102 Remark: This question is posed to women only. Table PH008d16: Cancer in cervix “In which organ or part of the body have you or have you had cancer?” (Cervix) Cancer in cervix 50-59 60-69 70-79 80+ Total Not selected 376 306 278 136 1,096 Selected 2 0 3 0 6 Total 378 306 281 136 1,102 Remark: This question is posed to women only. („Cervix“ in German: Gebärmutterhalskrebs). Table PH008d17: Cancer in endometrium “In which organ or part of the body have you or have you had cancer?” (Endometrium) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 305 280 136 1,099 Selected 1 1 1 0 3 Total 378 306 281 136 1,102 Table PH008d18: Cancer in colon or rectum “In which organ or part of the body have you or have you had cancer?” (Colon or rectum) Men 50-59 60-69 70-79 80+ Total Not selected 336 252 164 52 805 Selected 1 2 0 0 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 305 279 135 1,097 Selected 1 1 2 1 5 Total 378 306 281 136 1,102 Table PH008d19: Cancer in bladder “In which organ or part of the body have you or have you had cancer?”(Bladder) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 280 136 1,101 Selected 0 0 1 0 1 Total 378 306 281 136 1,102

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Table PH008d20: Cancer in skin “In which organ or part of the body have you or have you had cancer?” (Skin) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 51 807Selected 0 0 0 1 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 306 280 133 1,095Selected 2 0 1 3 7Total 378 306 281 136 1,102 Table PH008d21: Cancer in non-hodgkin lymphoma “In which organ or part of the body have you or have you had cancer?” (Non-hodgkin lymphoma) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 279 136 1,097Selected 0 2 2 0 5Total 378 306 281 136 1,102 Table PH008d22: Cancer in leukemia “In which organ or part of the body have you or have you had cancer?” (Leukemia) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table PH008d23: Cancer in other organ “In which organ or part of the body have you or have you had cancer?” (Other organ) Men 50-59 60-69 70-79 80+ TotalNot selected 338 252 164 51 805Selected 0 2 0 1 3Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 281 136 1,100Selected 0 2 0 0 2Total 378 306 281 136 1,102

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Table PH009_1: Age heart attack or other heart problems “About how old were you when you were first told by a doctor that you had a heart attack or any other heart problem?” Men 50-59 60-69 70-79 80+ Total 10-19 0 1 0 0 1 30-39 0 1 1 0 2 40-49 7 4 2 0 13 50-59 9 16 7 0 31 60-69 0 6 27 6 38 70-79 0 0 7 1 9 80-89 0 0 0 1 1 90-99 0 0 0 1 1 Total 15 27 45 9 96 Remark: This table includes those men who report in question dn006d01 that they had a heart attack or other heart problems. The values range from 18 to 90. Women 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 20-29 0 1 1 0 2 30-39 2 2 1 0 5 40-49 7 2 1 1 11 50-59 2 11 3 1 17 60-69 0 6 11 7 24 70-79 0 0 6 10 16 80-89 0 0 0 7 7 Don't know 0 1 1 0 2 Total 13 22 25 25 85 Remark: This table includes those women who report in question dn006d01 that they had a heart attack or other heart problems. The values range from 2 to 85. Unplausible values have to be excluded for specific analyses. Table PH009_2: Age high blood pressure “About how old were you when you were first told by a doctor that you had high blood pressure?” Men 50-59 60-69 70-79 80+ Total 10-19 1 2 0 0 3 20-29 3 1 1 0 4 30-39 8 6 4 0 18 40-49 35 15 5 2 58 50-59 21 41 20 2 84 60-69 0 15 23 4 42 70-79 0 0 4 5 9 80-89 0 0 0 3 3 Don't know 1 1 1 0 3 Total 69 80 58 17 224 Remark: This table includes those men who report in question dn006d02 that they had high blood pressure. The values range from 17 to 86. Women 50-59 60-69 70-79 80+ Total 0-9 0 2 0 0 2 10-19 1 2 0 0 3 20-29 4 5 0 0 10 30-39 10 7 7 0 24 40-49 44 21 15 4 84 50-59 35 45 40 2 122 60-69 0 25 41 10 76 70-79 0 0 14 23 37 80-89 0 0 0 7 7 Refusal 0 0 1 0 1 Don't know 0 2 6 1 8 Total 95 108 124 47 374 Remark: This table includes those women who report in question dn006d02 that they had high blood pressure. The values range from 0 to 84. Unplausible values have to be excluded for specific analyses.

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Table PH009_3: Age high blood cholesterol “About how old were you when you were first told by a doctor that you had high blood cholesterol?” Men 50-59 60-69 70-79 80+ Total20-29 0 1 1 0 230-39 6 2 0 0 940-49 32 11 0 0 4350-59 21 25 10 0 5660-69 0 15 11 0 2670-79 0 0 1 0 180-89 0 0 0 1 1Total 60 55 23 1 139Remark: This table includes those men who report in question dn006d03 that they had high blood cholesterol. The values range from 20 to 80. Women 50-59 60-69 70-79 80+ Total0-9 1 2 0 0 310-19 0 2 0 0 220-29 0 3 1 0 430-39 6 2 1 0 940-49 23 12 4 0 3950-59 14 36 16 3 7060-69 0 16 16 3 3570-79 0 0 5 8 13Don't know 0 1 1 1 3Total 45 73 44 16 178Remark: This table includes those women who report in question dn006d03 that they had high blood cholesterol. The values range from 2 to 79. Unplausible values have to be excluded for specific analyses. Table PH009_4: Age stroke or cerebral vascular disease “About how old were you when you were first told by a doctor that you had a stroke or a cerebral vascular disease?” Men 50-59 60-69 70-79 80+ Total40-49 0 1 0 0 150-59 8 9 1 0 1860-69 0 7 1 4 1170-79 0 0 7 0 780-89 0 0 0 2 2Total 8 17 9 6 40Remark: This table includes those men who report in question dn006d04 that they had a stroke or a cerebral vascular disease. The values range from 44 to 84. Women 50-59 60-69 70-79 80+ Total30-39 0 1 0 0 140-49 1 1 0 0 250-59 2 1 2 0 660-69 0 2 6 1 1070-79 0 0 9 3 1280-89 0 0 0 4 490-99 0 0 0 1 1Don't know 1 0 1 0 2Total 4 5 18 9 37Remark: This table includes those women who report in question dn006d04 that they had a stroke or a cerebral vascular disease. The values range from 32 to 90.

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Table PH009_5: Age diabetes “About how old were you when you were first told by a doctor that you had diabetes?” Men 50-59 60-69 70-79 80+ Total 0-9 0 0 1 0 1 10-19 3 0 0 0 3 20-29 1 2 1 0 4 30-39 1 2 0 0 3 40-49 13 5 2 1 21 50-59 9 12 8 1 31 60-69 0 11 4 0 15 70-79 0 0 3 1 4 Total 28 31 20 3 82 Remark: This table includes those men who report in question dn006d05 that they had diabetes. The values range from 4 to 75. Women 50-59 60-69 70-79 80+ Total 10-19 0 1 0 0 1 20-29 0 1 0 0 1 30-39 4 1 0 0 5 40-49 17 3 3 1 24 50-59 8 4 9 0 20 60-69 0 6 4 3 13 70-79 0 0 6 5 12 80-89 0 0 0 1 1 Don't know 0 0 3 0 3 Total 29 15 26 10 80 Remark: This table includes those women who report in question dn006d05 that they had diabetes. The values range from 15 to 81. Table PH009_6: Age chronic lung disease “About how old were you when you were first told by a doctor that you had a chronic lung disease?” Men 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 10-19 2 0 0 0 2 20-29 1 0 0 0 1 30-39 2 1 0 0 3 40-49 4 0 0 0 4 50-59 5 5 1 2 12 60-69 0 3 3 1 7 Total 16 8 4 3 31 Remark: This table includes those men who report in question dn006d06 that they had a chronic lung disease. The values range from 6 to 66. Women 50-59 60-69 70-79 80+ Total 0-9 2 1 0 0 3 10-19 0 0 2 0 2 20-29 0 1 0 0 1 30-39 1 0 1 0 2 40-49 1 1 1 1 4 50-59 1 4 1 0 6 60-69 0 1 2 0 3 70-79 0 0 1 4 5 80-89 0 0 0 1 1 Total 6 7 9 6 28 Remark: This table includes those women who report in question dn006d06 that they had a chronic lung disease. The values range from 6 to 81.

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Table PH009_7: Age asthma “About how old were you when you were first told by a doctor that you had asthma?” Men 50-59 60-69 70-79 80+ Total0-9 1 0 0 0 110-19 0 2 0 0 220-29 0 1 0 0 130-39 3 2 1 0 540-49 8 3 2 0 1350-59 1 6 4 0 1260-69 0 1 4 1 670-79 0 0 0 1 1Total 13 15 11 2 41Remark: This table includes those men who report in question dn006d07 that they had asthma. The values range from 6 to 70. Women 50-59 60-69 70-79 80+ Total0-9 1 0 0 0 110-19 1 0 0 1 220-29 1 2 0 0 430-39 4 2 0 0 540-49 1 3 4 2 1050-59 5 5 5 0 1560-69 0 6 4 1 1170-79 0 0 1 7 880-89 0 0 0 1 1Total 13 19 13 12 57Remark: This table includes those women who report in question dn006d07 that they had asthma. The values range from 5 to 80. Table PH009_8: Age arthritis or rheumatism “About how old were you when you were first told by a doctor that you had arthritis or rheumatism?” Men 50-59 60-69 70-79 80+ Total0-9 0 1 0 0 120-29 0 1 0 0 130-39 4 1 0 0 540-49 14 9 1 0 2350-59 3 7 5 0 1660-69 0 2 7 3 1270-79 0 0 0 2 280-89 0 0 0 2 2Don't know 3 0 0 0 3Total 23 20 13 8 64Remark: This table includes those men who report in question dn006d08 that they had arthritis or rheumatism. The values range from 9 to 80. Women 50-59 60-69 70-79 80+ Total10-19 0 1 0 0 120-29 1 1 0 0 230-39 7 5 7 0 1940-49 13 9 4 3 2950-59 12 21 12 2 4760-69 0 9 18 4 3170-79 0 0 5 8 1280-89 0 0 0 1 1Don't know 0 1 2 2 5Total 33 47 47 21 148Remark: This table includes those women who report in question dn006d08 that they had arthritis or rheumatism. The values range from 16 to 84.

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Table PH009_9: Age osteoporosis “About how old were you when you were first told by a doctor that you had osteoporosis?” Men 50-59 60-69 70-79 80+ Total 30-39 2 0 0 0 2 40-49 4 0 0 0 4 50-59 5 4 1 0 10 60-69 0 2 2 0 4 70-79 0 0 1 1 2 80-89 0 0 0 2 2 Don't know 0 0 1 0 1 Total 11 6 5 3 25 Remark: This table includes those men who report in question dn006d09 that they had osteoporosis. The values range from 30 to 84. Women 50-59 60-69 70-79 80+ Total 10-19 1 0 0 0 1 30-39 1 2 1 0 4 40-49 9 3 1 0 13 50-59 27 28 8 2 65 60-69 0 12 18 6 35 70-79 0 0 10 14 25 80-89 0 0 0 6 6 Don't know 0 1 0 0 1 Total 39 45 39 28 150 Remark: This table includes those women who report in question dn006d09 that they had osteoporosis. The values range from 10 to 84. Unplausible values have to be excluded for specific analyses. Table PH009_10: Age cancer or malignant tumour “About how old were you when you were first told by a doctor that you had cancer or a malignant tumour?” Men 50-59 60-69 70-79 80+ Total 0-9 0 0 0 1 1 50-59 5 3 0 0 8 60-69 0 3 0 0 3 70-79 0 0 1 0 1 80-89 0 0 0 1 1 Total 5 7 1 2 15 Remark: This table includes those men who report in question dn006d10 that they had cancer or a malignant tumour. The values range from 0 to 82. Unplausible values have to be excluded for specific analyses. Women 50-59 60-69 70-79 80+ Total 20-29 0 1 1 0 2 30-39 1 0 0 0 1 40-49 3 1 1 0 5 50-59 8 7 5 2 22 60-69 0 5 9 0 14 70-79 0 0 7 2 9 80-89 0 0 0 1 1 Total 13 14 23 5 55 Remark: This table includes those women who report in question dn006d10 that they had cancer or a malignant tumour. The values range from 20 to 82.

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Table PH009_11: Age stomach, duodenal or peptic ulcer “About how old were you when you were first told by a doctor that you had stomach or duodenal ulcer, peptic ulcer?” Men 50-59 60-69 70-79 80+ Total0-9 1 0 0 0 110-19 0 1 0 0 120-29 6 4 0 0 930-39 0 2 2 0 440-49 13 2 0 1 1650-59 6 3 0 1 1060-69 0 3 3 1 770-79 0 0 1 0 1Total 26 15 6 3 50Remark: This table includes those men who report in question dn006d11 that they had stomach, duodenal or peptic ulcer. The values range from 9 to 70. Women 50-59 60-69 70-79 80+ Total10-19 1 0 0 0 120-29 0 0 1 0 130-39 4 2 0 0 640-49 4 5 2 0 1050-59 8 5 2 1 1660-69 0 6 7 0 1370-79 0 0 6 2 880-89 0 0 0 6 6Total 16 18 18 9 61Remark: This table includes those women who report in question dn006d11 that they had stomach, duodenal or peptic ulcer. The values range from 14 to 82 Table PH009_12: Age Parkinson disease “About how old were you when you were first told by a doctor that you had Parkinson disease” Men 50-59 60-69 70-79 80+ Total40-49 0 1 0 0 160-69 0 1 0 0 170-79 0 0 1 1 280-89 0 0 0 1 1Total 0 2 1 2 5Remark: This table includes those men who report in question dn006d12 that they had Parkinson disease. The values range from 49 to 81. Women 50-59 60-69 70-79 80+ Total60-69 0 2 0 1 370-79 0 0 1 1 2Don't know 0 0 0 1 1Total 0 2 1 3 6Remark: This table includes those women who report in question dn006d12 that they had Parkinson disease. The values range from 62 to 73. Table PH009_13: Age cataracts “About how old were you when you were first told by a doctor that you had cataracts?” Men 50-59 60-69 70-79 80+ Total20-29 0 1 0 0 140-49 0 0 0 1 150-59 0 6 0 0 660-69 0 6 5 0 1170-79 0 0 6 7 1480-89 0 0 0 5 5Total 0 12 12 13 37Remark: This table includes those men who report in question dn006d13 that they had cataracts. The values range from 28 to 85.

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Women 50-59 60-69 70-79 80+ Total 0-9 0 1 0 0 1 10-19 1 0 0 1 2 30-39 0 0 1 0 1 40-49 2 0 0 0 2 50-59 4 1 2 0 8 60-69 0 6 10 1 17 70-79 0 0 22 14 37 80-89 0 0 0 12 12 Don't know 0 0 2 0 2 Total 8 9 37 29 82 Remark: This table includes those women who report in question dn006d13 that they had cataracts.The values range from 7 to 86. Table PH009_14: Age hip or femoral fracture

“About how old were you when you were first told by a doctor that you had a hip fracture or a femoral fracture?”

Men 50-59 60-69 70-79 80+ Total 40-49 1 0 0 0 1 50-59 0 1 0 0 1 60-69 0 0 1 0 1 70-79 0 0 1 1 2 Total 1 1 2 1 5 Remark: This table includes those men who report in question dn006d14 that they had a hip fracture. The values range from 49 to 76. Women 50-59 60-69 70-79 80+ Total 30-39 0 0 0 1 1 40-49 1 0 0 0 1 50-59 0 1 1 1 3 60-69 0 1 2 2 5 70-79 0 0 2 2 4 80-89 0 0 0 2 2 Total 1 1 5 8 16 Remark: This table includes those women who report in question dn006d14 that they had a hip fracture. The values range from 32 to 87. Table PH009_15: Age other condition “About how old were you when you were first told by a doctor that you had other conditions, not yet mentioned?” Men 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 10-19 4 0 0 0 4 20-29 5 1 1 0 7 30-39 5 2 1 1 9 40-49 10 3 0 0 12 50-59 10 5 4 0 19 60-69 0 1 4 1 6 70-79 0 0 2 2 4 80-89 0 0 0 1 1 Total 34 13 11 5 64 Remark: This table includes those men who report in question ph006d15 that they had other conditions. There are inconsistencies in the data since, ph006d15 is “not selected” for all men and women. The values range from 5 to 80.

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Women 50-59 60-69 70-79 80+ Total0-9 2 3 1 1 810-19 2 1 0 0 320-29 1 2 1 1 630-39 5 2 2 2 1140-49 20 4 1 1 2650-59 12 14 2 2 3060-69 0 9 9 4 2270-79 0 0 14 5 1980-89 0 0 0 5 5Don't know 0 0 1 0 1Total 42 34 32 23 131Remark: This table includes those women who report in question ph006d15 that they had other conditions. There are inconsistencies in the data since, ph006d15 is “not selected” for all men and women. The values range from 0 to 84. Unplausible values have to be excluded for specific analyses. Table PH010d01: Bothered by pain in back, knees, hips or other joint “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Pain in back, knees, hips or other joint) Men 50-59 60-69 70-79 80+ TotalNot selected 171 137 98 31 438Selected 167 117 66 21 370Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 201 139 122 62 524Selected 178 167 159 74 578Total 378 306 281 136 1,102 Table PH010d02: Bothered by heart trouble “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Heart troublle or angina, chest pain during exercise) Men 50-59 60-69 70-79 80+ TotalNot selected 319 237 144 41 742Selected 19 16 20 11 66Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 367 288 256 117 1,028Selected 12 18 25 20 74Total 378 306 281 136 1,102 Table PH010d03: Bothered by breathlessness “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Breathlessness, difficulty breathing) Men 50-59 60-69 70-79 80+ TotalNot selected 312 234 132 41 720Selected 25 20 32 11 88Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 359 272 239 117 986Selected 20 34 42 20 116Total 378 306 281 136 1,102

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Table PH010d04: Bothered by persistent cough “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Persistant cough) Men 50-59 60-69 70-79 80+ Total Not selected 321 247 159 52 780 Selected 16 7 5 0 28 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 373 290 267 127 1,057 Selected 6 16 14 10 45 Total 378 306 281 136 1,102 Table PH010d05: Bothered by swollen legs “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Swollen legs) Men 50-59 60-69 70-79 80+ Total Not selected 322 245 153 49 769 Selected 16 9 11 3 39 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 328 252 226 103 908 Selected 50 54 55 34 194 Total 378 306 281 136 1,102 Table PH010d06: Bothered by sleeping problems “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Sleeping problems) Men 50-59 60-69 70-79 80+ Total Not selected 292 227 147 50 717 Selected 45 27 17 2 91 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 295 242 223 103 862 Selected 83 64 58 34 240 Total 378 306 281 136 1,102 Table PH010d07: Bothered by falling down “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Falling down) Men 50-59 60-69 70-79 80+ Total Not selected 334 252 161 49 796 Selected 4 2 3 3 12 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 370 299 266 123 1,059 Selected 9 7 15 13 43 Total 378 306 281 136 1,102

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Table PH010d08: Bothered by fear of falling down “Please look at card 7. Do you currently take drugs at least once a week for problems enmentioned on this card?” (Fear of falling down) Men 50-59 60-69 70-79 80+ TotalNot selected 331 248 156 48 784Selected 6 5 8 4 24Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 365 285 239 107 996Selected 14 21 42 29 106Total 378 306 281 136 1,102 Table PH010d09: Bothered by dizziness, faints or blackouts “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Dizziness, faints or blackouts) Men 50-59 60-69 70-79 80+ TotalNot selected 320 248 152 39 759Selected 18 6 12 13 49Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 363 283 240 99 985Selected 16 23 41 37 117Total 378 306 281 136 1,102 Table PH010d10: Bothered by stomach or intestine problems “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Stomach or intestine problems, including constipation, air, diarrhoea) Men 50-59 60-69 70-79 80+ TotalNot selected 313 237 157 49 756Selected 25 17 7 3 52Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 342 274 254 118 988Selected 36 32 27 19 114Total 378 306 281 136 1,102 Table PH010d11: Bothered by incontinence “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Incontinence or involuntary loss of urine) Men 50-59 60-69 70-79 80+ TotalNot selected 334 250 157 47 788Selected 4 4 7 6 20Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 364 298 264 118 1,044Selected 15 8 17 19 58Total 378 306 281 136 1,102

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Table PH010d12: Bothered by other symptoms “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Other symptoms, not yet mentioned) Men 50-59 60-69 70-79 80+ Total Not selected 335 246 160 52 794 Selected 3 8 4 0 14 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 367 296 274 134 1,071 Selected 12 10 7 2 31 Total 378 306 281 136 1,102 Table PH011d01: Drugs for high blood cholesterol “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (High blood cholesterol) Men 50-59 60-69 70-79 80+ Total Not selected 304 218 141 50 713 Selected 34 36 23 2 95 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 351 266 246 122 984 Selected 28 40 35 14 118 Total 378 306 281 136 1,102 Table PH011d02: Drugs for high blood pressure “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (High blood pressure) Men 50-59 60-69 70-79 80+ Total Not selected 281 176 102 35 593 Selected 57 78 62 18 215 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 292 196 149 84 721 Selected 86 110 133 52 381 Total 378 306 281 136 1,102 Table PH011d03: Drugs for coronary or cerebrovascular diseases “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Coronary or cerebrovascular diseases) Men 50-59 60-69 70-79 80+ Total Not selected 329 237 132 41 740 Selected 9 16 32 11 68 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 368 298 257 110 1,034 Selected 10 8 24 26 68 Total 378 306 281 136 1,102

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Table PH011d04: Drugs for other heart diseases “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Other heart diseases) Men 50-59 60-69 70-79 80+ TotalNot selected 320 245 150 47 763Selected 17 9 14 6 45Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 368 295 255 120 1,037Selected 10 11 26 16 65Total 378 306 281 136 1,102 Table PH011d05: Drugs for asthma “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Astma) Men 50-59 60-69 70-79 80+ TotalNot selected 331 241 151 51 775Selected 6 13 13 1 33Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 369 287 264 124 1,045Selected 9 19 17 12 57Total 378 306 281 136 1,102 Table PH011d06: Drugs for diabetes “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Diabetes) Men 50-59 60-69 70-79 80+ TotalNot selected 313 223 144 49 730Selected 24 31 20 3 78

Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 355 293 257 128 1,033Selected 23 13 24 9 69Total 378 306 281 136 1,102 Table PH011d07: Drugs for joint pain or joint inflammation “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Joint pain or for joint inflammation) Men 50-59 60-69 70-79 80+ TotalNot selected 300 224 134 45 703Selected 38 30 30 8 105Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 334 239 211 105 890Selected 44 67 70 32 212Total 378 306 281 136 1,102

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Table PH011d08: Drugs for other pain “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Other pain (e.g. headache, backpain, etc.)) Men 50-59 60-69 70-79 80+ Total Not selected 305 238 149 45 737 Selected 33 16 15 8 71 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 329 261 241 120 951 Selected 50 45 40 16 151 Total 378 306 281 136 1,102 Table PH011d09: Drugs for sleep problems “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Sleep problems) Men 50-59 60-69 70-79 80+ Total Not selected 320 245 154 50 769 Selected 18 9 10 2 39 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 349 282 252 111 995 Selected 29 24 30 25 107 Total 378 306 281 136 1,102 Table PH011d10: Drugs for anxiety or depression “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Anxiety or depression) Men 50-59 60-69 70-79 80+ Total Not selected 334 252 162 51 800 Selected 4 2 2 1 8 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 361 287 274 128 1,050 Selected 17 19 7 9 52 Total 378 306 281 136 1,102 Table PH011d11: Drugs for osteoporosis, hormonal “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Osteoporosis, hormonal) Men 50-59 60-69 70-79 80+ Total Not selected 336 252 162 50 800 Selected 1 2 2 2 8 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 362 287 264 128 1,041 Selected 17 19 17 9 61 Total 378 306 281 136 1,102

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Table PH011d12: Drugs for osteoporosis, other than hormonal “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Osteoporosis, other than hormonal) Men 50-59 60-69 70-79 80+ TotalNot selected 335 253 161 50 800Selected 3 1 3 2 8Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 363 290 266 123 1,043Selected 15 16 15 13 59Total 378 306 281 136 1,102 Table PH011d13: Drugs for stomach burns “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Stomach burns) Men 50-59 60-69 70-79 80+ TotalNot selected 319 245 160 51 775Selected 18 9 4 1 33Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 368 297 270 133 1,068Selected 10 9 11 3 34Total 378 306 281 136 1,102 Table PH011d14: Drugs for chronic bronchitis “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Chronic bronchitis) Men 50-59 60-69 70-79 80+ TotalNot selected 334 250 163 49 796Selected 4 4 1 3 12Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 305 277 132 1,090Selected 2 1 5 4 12Total 378 306 281 136 1,102 Table PH011d15: Other drugs “Please look at card 7. Do you currently take drugs at least once a week for problems mentioned on this card?” (Other drugs, not yet mentioned) Men 50-59 60-69 70-79 80+ TotalNot selected 305 230 145 42 722Selected 33 24 19 10 86Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 327 267 232 112 938Selected 52 39 49 24 164Total 378 306 281 136 1,102

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Table PH012: Weight of respondent “Approximately how much do you weigh?” (Weight in kilos) Men 50-59 60-69 70-79 80+ Total 40-49 1 0 0 1 2 50-59 3 2 3 3 11 60-69 16 20 22 16 74 70-79 78 68 61 17 223 80-89 121 86 44 10 260 90-99 73 52 17 3 145 100-109 28 17 9 0 54 110-119 10 3 1 0 14 120-129 4 2 2 0 8 130-139 4 1 0 1 6 170-179 1 0 0 0 1 Refusal 0 1 5 0 6 Total 338 253 163 51 805 Remark: The values range from 43 to 170. Women 50-59 60-69 70-79 80+ Total 0-9 0 0 0 1 1 30-39 0 1 0 0 1 40-49 6 4 9 4 23 50-59 57 46 43 34 180 60-69 101 86 87 34 308 70-79 103 80 79 36 298 80-89 48 52 43 12 156 90-99 34 19 8 4 66 100-109 14 9 2 0 25 110-119 3 2 0 0 5 120-129 0 2 0 0 2 130-139 1 0 1 0 2 170-179 0 1 0 0 1 Refusal 5 5 3 10 24 Don't know 3 0 1 1 6 Total 377 305 278 136 1,096 Remark: The values range from 4 to 170. Unplausible values have to be excluded for specific analyses. Table PH013: How tall are you? “How tall are you?” (Length in centimetres) Men 50-59 60-69 70-79 80+ Total 140-149 0 0 0 1 1 150-159 0 2 1 6 9 160-169 35 43 36 12 126 170-179 179 138 95 29 442 180-189 110 67 25 3 205 190-199 14 1 1 0 16 200-210 0 1 0 0 1 Refusal 0 1 5 0 6 Total 338 253 163 51 805 Remark: The values range from 148 to 202. Women 50-59 60-69 70-79 80+ Total 120-129 0 0 1 0 1 140-149 0 3 0 2 5 150-159 71 62 67 38 239 160-169 220 174 159 75 628 170-179 77 55 43 10 185 180-189 5 5 3 0 13 190-199 0 1 0 0 1 Refusal 3 5 3 10 22 Don't know 0 0 0 1 1 Total 377 305 278 136 1,096 Remark: The values range from 120 to 190.

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Table PH041: Use glasses

“Do you usually wear glasses or contact lenses?” Men 50-59 60-69 70-79 80+ TotalYes 134 127 91 33 386No 203 126 73 18 419Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalYes 206 185 182 98 671No 170 121 96 38 425Total 377 305 278 136 1,096 Table PH042: Eyesight “Is your esesight (using galsses or contact lenses as usual) …?” Men 50-59 60-69 70-79 80+ TotalExcellent 87 45 29 4 166Very good 134 107 60 12 314Good 96 82 53 22 253Fair 19 13 19 9 60Poor 1 4 3 3 11Spontaneous registered or legally blind 0 1 0 0 1Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalExcellent 97 59 26 8 190Very good 145 115 96 35 392Good 104 105 112 57 378Fair 26 25 27 31 109Poor 5 1 15 7 27Spontaneous registered or legally blind 0 0 1 0 1Total 377 305 278 136 1,096 Table PH043: Eyesight distance “How good is your eyesight for seeing things at a distance, like recognising a friend across a street (using glasses or contact lenses as usual)? Would you say it is …” Men 50-59 60-69 70-79 80+ TotalExcellent 116 57 31 8 212Very good 136 114 66 16 331Good 69 70 50 18 206Fair 12 5 14 9 40Poor 5 5 3 1 14Don't know 0 1 0 0 1Total 337 252 163 51 804Remark: This table includes those men who do not report in question ph042 to be “spontaneous registered or legally blind”. Women 50-59 60-69 70-79 80+ TotalExcellent 102 67 33 8 210Very good 164 121 102 34 420Good 90 100 110 56 355Fair 17 16 21 31 84Poor 3 2 11 9 25Total 377 305 277 136 1,095Remark: This table includes those women who do not report in question ph043 to be “spontaneous registered or legally blind”.

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Table PH044: Eyesight reading “How good is your eyesight for seeing things up close, like reading ordinary newspaper print (using glasses or contact lenses as usual)? Would you say it is …” Men 50-59 60-69 70-79 80+ Total Excellent 89 42 24 8 163 Very good 110 102 59 13 284 Good 76 62 47 16 200 Fair 36 27 21 7 91 Poor 27 19 13 8 66 Total 337 252 163 51 804 Remark: This table includes those men who do not report in question ph042 to be “spontaneous registered or legally blind”. Women 50-59 60-69 70-79 80+ Total Excellent 88 52 27 8 175 Very good 141 107 88 34 370 Good 82 95 110 53 341 Fair 30 37 29 26 122 Poor 35 14 23 15 88 Total 377 305 277 136 1,095 Remark: This table includes those women who do not report in question ph043 to be “spontaneous registered or legally blind”. Table PH045: Use hearing aid “Are you usually wearing a hearing aid?” Men 50-59 60-69 70-79 80+ Total Yes 4 13 19 8 43 No 334 241 144 43 762 Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ Total Yes 1 8 22 29 60 No 375 298 256 107 1,036 Total 377 305 278 136 1,096 Table PH046: Hearing “Is your hearing (using a hearing aid as usual)…” Men 50-59 60-69 70-79 80+ Total Excellent 97 46 20 3 166 Very good 121 88 43 9 261 Good 81 77 60 16 233 Fair 36 38 35 21 129 Poor 3 5 6 2 15 Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ Total Excellent 112 73 41 7 233 Very good 169 110 88 24 392 Good 86 100 107 58 351 Fair 8 18 34 36 97 Poor 1 4 7 12 24 Total 377 305 278 136 1,096 Table PH047: Hearing with background noise “Do you find it difficult to follow a conversation if there is background noise, such as a TV, a radio or children playing (using a hearing aid as usual)?” Men 50-59 60-69 70-79 80+ Total Yes 79 74 63 30 246 No 258 179 100 21 559 Total 338 253 163 51 805

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Women 50-59 60-69 70-79 80+ TotalYes 79 81 90 72 322No 298 224 187 64 774Total 377 305 278 136 1,096 Table PH055: Hearing with several people “Can you hear clearly what is said in a conversation with several people (using a hearing ais as usual)?” Men 50-59 60-69 70-79 80+ TotalYes 273 190 114 27 605No 64 62 49 25 200Don't know 0 1 0 0 1Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalYes 320 249 198 69 835No 57 57 80 68 261Total 377 305 278 136 1,096 Table PH056: Hearing with one person “Can you hear clearly what is said in a conversation with one person (using a hearing aid as usual)?” Men 50-59 60-69 70-79 80+ TotalYes 327 238 150 46 761No 11 14 13 6 43Don't know 0 1 0 0 1Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalYes 370 296 263 118 1,047No 7 9 15 19 49Total 377 305 278 136 1,096 Table PH024: Use dentures “Do you use dentures?” Men 50-59 60-69 70-79 80+ TotalYes 107 139 130 47 424No 230 114 33 4 381Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalYes 145 199 230 123 697No 232 106 48 13 399Total 377 305 278 136 1,096 Table PH025: Bite on hard foods “(Using you dentures,) can you bite and chwe on hard food such as a firm apple without difficulty?” Men 50-59 60-69 70-79 80+ TotalYes 300 207 116 34 657No 38 46 47 17 148Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalYes 331 227 183 84 825No 46 78 95 52 271Total 377 305 278 136 1,096

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Table PH048d01: Difficulties walking 100 metres “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Walking 100 metres) Men 50-59 60-69 70-79 80+ Total Not selected 321 246 147 46 760 Selected 16 8 17 7 48 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 368 289 247 98 1,003 Selected 10 17 34 38 99 Total 378 306 281 136 1,102 Table PH048d02: Difficulties sitting two hours “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Sitting two hours) Men 50-59 60-69 70-79 80+ Total Not selected 304 235 154 45 738 Selected 34 19 10 8 70 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 345 273 231 107 956 Selected 33 33 50 29 146 Total 378 306 281 136 1,102 Table PH048d03: Difficulties getting up from chair “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Getting up from a chair after sitting for long periods) Men 50-59 60-69 70-79 80+ Total Not selected 287 216 127 43 674 Selected 50 38 37 9 134 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 318 238 200 84 841 Selected 60 68 81 52 261 Total 378 306 281 136 1,102 Table PH048d04: Difficulties climbing several flights of stairs “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Climbing several flights of stairs without resting) Men 50-59 60-69 70-79 80+ Total Not selected 276 204 107 32 619 Selected 61 50 57 20 189 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 297 201 163 55 716 Selected 81 105 118 82 386 Total 378 306 281 136 1,102

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Table PH048d05: Difficulties climbing one flight of stairs “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Climbing one flight of stairs without resting) Men 50-59 60-69 70-79 80+ TotalNot selected 321 237 140 42 741Selected 16 17 24 10 67Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 356 266 218 89 930Selected 22 40 63 47 172Total 378 306 281 136 1,102 Table PH048d06: Difficulties stooping, kneeling, crouching “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Stooping, kneeling, or crouching) Men 50-59 60-69 70-79 80+ TotalNot selected 275 207 119 32 634Selected 62 47 45 20 174Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 297 208 167 63 735Selected 81 98 114 73 367Total 378 306 281 136 1,102 Table PH048d07: Difficulties reaching or extending arms above shoulder “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Reaching or extending your arms above shoulder level) Men 50-59 60-69 70-79 80+ TotalNot selected 320 236 147 47 750Selected 18 18 17 6 58Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 347 274 233 110 964Selected 32 32 48 26 138Total 378 306 281 136 1,102 Table PH048d08: Difficulties pulling or pushing large objects “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (pulling or pushing large objects like a living room chair) Men 50-59 60-69 70-79 80+ TotalNot selected 327 242 141 41 752Selected 11 12 23 11 56Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 359 271 231 92 953Selected 20 35 50 45 149Total 378 306 281 136 1,102

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Table PH048d09: Difficulties lifting or carrying weights over 5 kilos “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Lifting or carrying weights over 5 kilos, like a heavy bag of groceries) Men 50-59 60-69 70-79 80+ Total Not selected 305 237 125 38 706 Selected 32 16 39 14 102 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 336 241 174 69 820 Selected 42 65 107 68 282 Total 378 306 281 136 1,102 Table PH048d10: Difficulties picking up a small coin from a table “Please tell me whether you have any difficulties doing each of the everyday activities on card 9. Exclude any difficulties that you expect to last less than three months?” (Picking up a small coin from a table) Men 50-59 60-69 70-79 80+ Total Not selected 331 245 152 45 773 Selected 6 9 12 8 35 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 369 293 264 116 1,042 Selected 9 13 17 21 60 Total 378 306 281 136 1,102 Table PH049d01: Difficulties dressing, including shoes and socks “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Dressing, including putting on shoes and socks) Men 50-59 60-69 70-79 80+ Total Not selected 325 239 153 47 764 Selected 13 15 11 6 44 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 366 295 254 107 1,022 Selected 12 11 27 29 80 Total 378 306 281 136 1,102 Table PH049d02: Difficulties walking across a room “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Walking across a room) Men 50-59 60-69 70-79 80+ Total Not selected 334 252 161 50 797 Selected 4 2 3 2 11 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 304 273 125 1,078 Selected 2 2 8 11 24 Total 378 306 281 136 1,102

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Table PH049d03: Difficulties bathing or showering “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Bathing or showering) Men 50-59 60-69 70-79 80+ TotalNot selected 335 249 151 48 783Selected 3 5 13 4 25Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 301 258 110 1,044Selected 4 5 23 26 58Total 378 306 281 136 1,102 Table PH049d04: Difficulties eating, cutting up food “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Eating, such as cutting up your food) Men 50-59 60-69 70-79 80+ TotalNot selected 336 251 159 50 796Selected 1 3 5 2 12Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 305 273 129 1,084Selected 1 1 8 8 18Total 378 306 281 136 1,102 Table PH049d05: Difficulties getting in or out of bed “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Getting in or out of bed) Men 50-59 60-69 70-79 80+ TotalNot selected 329 248 153 51 781Selected 9 6 11 1 27Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 292 262 125 1,051Selected 7 14 19 11 51Total 378 306 281 136 1,102 Table PH049d06: Difficulties using the toilet, incl getting up or down “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Using the toilet, including getting up or down) Men 50-59 60-69 70-79 80+ TotalNot selected 334 250 158 51 793Selected 4 4 6 1 15Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 304 271 127 1,077Selected 2 2 10 10 25Total 378 306 281 136 1,102

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Table PH049d07: Difficulties using a map in a strange place “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Using a map to figure out how to get around in a strange place) Men 50-59 60-69 70-79 80+ Total Not selected 333 241 149 40 763 Selected 5 13 15 12 45 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 360 271 237 89 957 Selected 19 35 45 47 145 Total 378 306 281 136 1,102 Table PH049d08: Difficulties preparing a hot meal “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Preparing a hot meal) Men 50-59 60-69 70-79 80+ Total Not selected 334 246 154 42 776 Selected 4 8 10 10 32 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 304 271 115 1,066 Selected 2 2 10 22 36 Total 378 306 281 136 1,102 Table PH049d09: Difficulties shopping for groceries “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Shopping for grocieries) Men 50-59 60-69 70-79 80+ Total Not selected 336 249 155 44 784 Selected 1 5 9 9 24 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 296 250 107 1,027 Selected 5 10 31 29 75 Total 378 306 281 136 1,102 Table PH049d10: Difficulties telephone calls “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Making telephone calls) Men 50-59 60-69 70-79 80+ Total Not selected 335 249 160 49 793 Selected 3 5 4 3 15 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 277 133 1,094 Selected 0 0 5 3 8 Total 378 306 281 136 1,102

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Table PH049d11: Difficulties taking medications “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Taking medications) Men 50-59 60-69 70-79 80+ TotalNot selected 336 252 163 50 801Selected 1 2 1 2 7Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 276 133 1,092Selected 0 2 6 3 10Total 378 306 281 136 1,102 Table PH049d12: Difficulties doing work around the house or garden “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Doing work around the house or garden) Men 50-59 60-69 70-79 80+ TotalNot selected 321 245 142 39 748Selected 16 9 22 13 60Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 353 279 220 85 936Selected 25 27 62 51 166Total 378 306 281 136 1,102 Table PH049d13: Difficulties managing money “Please look at card 10. Please tell me if you have any difficulty with these because of a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less than three months.” (Managing money, such as paying bills and keeping track of expenses) Men 50-59 60-69 70-79 80+ TotalNot selected 333 248 154 48 782Selected 5 6 10 4 26Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 298 256 108 1,041Selected 0 8 25 28 61Total 378 306 281 136 1,102 Table PH050: Help activities “Thinking about the activities that you have problems with, does anyone ever help you with these activities?” Men 50-59 60-69 70-79 80+ TotalYes 16 18 28 17 79No 13 9 7 3 32Total 29 27 35 20 111Remark: This table includes those men who report in questions ph048 and ph049 at least once with “Yes” (= Selected). There are inconsistencies in the data. Women 50-59 60-69 70-79 80+ TotalYes 22 44 70 69 204No 18 17 20 6 62Total 40 61 90 75 266Remark: This table includes those women who report in questions ph048 and ph049 at least once with “Yes” (= Selected). There are inconsistencies in the data.

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Table PH051: Help meets needs “Would you say that the help you receive meets your needs?” Men 50-59 60-69 70-79 80+ Total All the time 8 13 20 8 49 Usually 6 2 7 6 20 Sometimes 3 3 1 3 10 Total 16 18 28 17 79 Remark: This table includes those men who answer in questions ph050 with “Yes”. Women 50-59 60-69 70-79 80+ Total All the time 13 22 45 37 116 Usually 7 16 16 26 65 Sometimes 2 5 9 4 21 Hardly ever 0 0 0 1 1 Total 22 43 70 68 203 Remark: This table includes those women who answer in questions ph050 with “Yes”. Table PH052: Health in general question v 2 “Would you say your health is …” Men 50-59 60-69 70-79 80+ Total Excellent 19 12 3 1 36 Very good 53 49 13 3 118 Good 48 58 39 9 153 Fair 31 28 24 15 98 Poor 10 3 2 1 17 Total 161 150 81 30 421 Remark: Those men with random variable 1 are asked general questions on health at the beginning of the physical health module (ph002 and ph003). Variables ph003 and ph052 are identical. Women 50-59 60-69 70-79 80+ Total Excellent 27 11 2 3 44 Very good 60 44 17 10 131 Good 81 58 63 19 220 Fair 25 34 40 22 121 Poor 6 7 18 11 42 Total 199 154 140 64 558 Remark: Those women with random variable 1 are asked general questions on health at the beginning of the physical health module (ph002 and ph003). Variables ph003 and ph052 are identical. Table PH053: Health in general question v 1 “Would you say your health is …” Men 50-59 60-69 70-79 80+ Total Very good 59 24 10 2 95 Good 72 50 39 8 168 Fair 32 25 21 5 84 Bad 10 2 8 4 24 Very bad 4 3 4 2 13 Total 176 104 82 22 384 Remark: Those men with random variable 2 have to answer the general questions at the end of the physical health module (ph052 and ph053). Variables ph002 and ph053 are identical. Women 50-59 60-69 70-79 80+ Total Very good 45 26 16 4 91 Good 90 78 54 12 234 Fair 32 39 56 38 165 Bad 9 8 11 13 42 Very bad 2 0 0 4 7 Total 178 151 137 72 538 Remark: Those women with random variable 2 had to answer the general questions at the end of the physical health module (ph052 and ph053). Variables ph002 and ph053 are identical.

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Table PH054: Who answered the questions in ph Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 332 240 151 46 769Respondent and proxy 5 10 11 4 31Proxy only 0 3 1 1 5Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ TotalRespondent only 371 304 266 119 1,060Respondent and proxy 2 2 8 11 23Proxy only 3 0 3 7 13Total 377 305 278 136 1,096

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3.4 Behavioural Risks (BR) The questions in the behavioural risks module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table BR001: Ever smoked daily “Have you ever smoked cigarettes, cigars, cigarillos or a pipe daily for a period of at least one year?” Men 50-59 60-69 70-79 80+ Total Yes 194 123 76 17 410 No 143 130 88 35 395 Total 338 253 163 51 805 Women 50-59 60-69 70-79 80+ Total Yes 150 73 41 22 286 No 226 233 237 115 810 Total 377 305 278 136 1,096 Table BR002: Smoke at the present time “Do you smoke at the present time?” Men 50-59 60-69 70-79 80+ Total Yes 124 52 14 7 197 No, I have stopped 68 70 61 10 208 Total 192 122 75 16 405 Remark: This table includes those men who report in br001 to have smoked daily for a period of at least one year. Women 50-59 60-69 70-79 80+ Total Yes 94 40 17 7 158 No, I have stopped 53 31 24 14 121 Don't know 0 1 0 0 1 Total 147 71 40 21 280 Remark: This table includes those women who report in br001 to have smoked daily for a period of at least one year. Table BR003: How many years smoked “For how many years do you smoke altogether?” Men 50-59 60-69 70-79 80+ Total 0-9 10 5 5 1 21 10-19 23 12 13 2 50 20-29 43 26 10 1 80 30-39 85 27 15 2 128 40-49 30 42 19 2 93 50-59 1 9 10 0 20 60-69 0 0 2 8 10 70-79 0 0 1 0 1 Don't know 0 1 1 0 2 Total 192 122 75 16 405 Remark: The values range from 0 to 70. This table includes those men who report in br001 to have smoked daily for a period of at least one year.

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Women 50-59 60-69 70-79 80+ Total0-9 23 4 9 2 3810-19 23 10 2 4 4020-29 40 16 3 2 6130-39 48 12 10 3 7340-49 13 24 8 0 4550-59 0 3 6 2 1160-69 0 0 1 6 870-79 0 0 0 1 1Refusal 0 0 1 0 1Don't know 1 1 0 0 2Total 147 71 40 21 280Remark: The values range from 0 to 70. This table includes those women who report in br001 to have smoked daily for a period of at least one year.

Table BR004: Age stopped smoking “How old were you when you stopped smoking?” Men 50-59 60-69 70-79 80+ Total0-9 0 2 0 0 210-19 1 1 0 0 220-29 9 5 4 1 1930-39 23 8 9 1 4140-49 24 26 17 2 7050-59 13 23 17 2 5560-69 0 9 12 1 2270-79 0 0 3 1 480-89 0 0 0 1 1Total 70 72 63 10 216Remark: This table includes those men who report in br002 to have stopped smoking. The values range from 0 to 80. Inplausible values have to be excluded for further analyses. Women 50-59 60-69 70-79 80+ Total0-9 0 0 2 0 220-29 17 3 2 2 2430-39 11 2 3 2 1940-49 14 9 1 1 2450-59 11 9 4 4 2960-69 0 8 9 2 1970-79 0 0 1 2 3Total 53 31 23 14 121Remark: This table includes those women who report in br002 to have stopped smoking. The values range from 0 to 80. Inplausible values have to be excluded for further analyses. Table BR005d1: Do or did smoke, cigarettes “What do or did you smoke/smoked before you stopped?” (Cigarettes) Men 50-59 60-69 70-79 80+ TotalNot selected 149 137 93 38 417Selected 188 117 72 14 391Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 228 235 240 116 819Selected 150 71 41 21 283Total 378 306 281 136 1,102

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Table BR005d2: Do or did you smoke, pipe “What do or did you smoke/smoked before you stopped?” (Pipe) Men 50-59 60-69 70-79 80+ Total Not selected 334 245 158 51 789 Selected 4 9 6 1 19 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 306 281 136 1,101 Selected 1 0 0 0 1 Total 378 306 281 136 1,102 Table BR005d3: Do or did you smoke, cigars or cigarillos “What do or did you smoke/smoked before you stopped?” (Cigars or cigarillos) Men 50-59 60-69 70-79 80+ Total Not selected 331 248 160 49 788 Selected 6 6 4 3 20 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 305 281 135 1,098 Selected 2 1 0 1 4 Total 378 306 281 136 1,102 Table BR006: Average amount of cigarettes per day “How many cigarettes do or did you smoke on average per day?” Men 50-59 60-69 70-79 80+ Total 0-9 9 6 6 3 24 10-19 39 28 13 4 84 20-29 72 51 31 5 160 30-39 35 11 10 1 56 40-49 22 5 6 0 34 50-59 5 4 1 0 10 60-69 4 6 2 0 12 70-79 0 1 0 0 1 80-89 0 2 1 0 3 100-109 0 2 1 0 3 Total 186 115 71 14 386 Remark: This table includes those men who report in br005d1 to have ever smoked cigarettes. The values range from 0 to 100. Women 50-59 60-69 70-79 80+ Total 0-9 40 15 11 9 74 10-19 39 30 18 7 95 20-29 54 17 9 4 84 30-39 8 4 0 0 12 40-49 5 3 1 0 9 50-59 1 0 1 0 2 60-69 0 1 0 0 1 Total 147 70 40 20 277 Remark: This table includes those women who report in br005d1 to have ever smoked cigarettes. The values range from 1 to 60.

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Table BR007: Average amount of pipes per day “How many pipes do or did you smoke on average per day?” Men 50-59 60-69 70-79 80+ Total0 1 0 0 0 11 0 5 2 0 72 0 2 2 0 43 0 1 1 0 24 0 1 0 0 15 0 1 0 0 17 0 0 0 1 110 1 0 0 0 1Don't know 1 0 1 0 2Total 4 9 6 1 21Remark: This table includes those men who report in br005d2 to have ever smoked pipes. Women 50-59 60-69 70-79 80+ Total1 1 0 0 0 1Total 1 0 0 0 1Remark: This table includes this woman who reports in br005d2 to have ever smoked pipes. Table BR008: Average amount of cigars per day “How many cigars or cigarillos do or did you smoke on average per day?” Men 50-59 60-69 70-79 80+ Total0 0 0 0 1 11 3 2 2 0 62 1 2 1 1 53 1 0 0 1 25 0 1 0 0 16 0 0 1 0 110 0 2 0 0 220 0 1 0 0 125 1 0 0 0 1Total 6 6 4 3 20Remark: This table includes those men who report in br005d3 to have ever smoked cigars or cigarillos. Women 50-59 60-69 70-79 80+ Total0 1 0 0 0 11 1 0 0 0 15 0 1 0 0 125 0 0 0 1 1Total 2 1 0 1 4Remark: This table includes those women who report in br005d3 to have ever smoked cigars or cigarillos. Table BR010: Beverages consumed last 6 months “Please look at card 11. During the last six months, how often have you drunk any alcoholic beverages, like beer, cider, wine, spirits or cocktails?” Men 50-59 60-69 70-79 80+ TotalAlmost every day 58 67 39 10 173Five or six days a week 29 21 5 4 60Three or four days a week 51 45 24 3 124Once or twice a week 84 49 33 6 171Once or twice a month 41 23 11 7 82Less than once a month 26 16 11 3 56Not at all in the last 6 months 48 32 41 18 138Total 336 253 163 51 804

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Women 50-59 60-69 70-79 80+ Total Almost every day 8 24 18 10 60 Five or six days a week 15 7 2 1 25 Three or four days a week 26 24 9 4 63 Once or twice a week 76 52 25 10 162 Once or twice a month 72 46 37 13 168 Less than once a month 52 41 32 9 134 Not at all in the last 6 months 128 112 153 89 482 Don't know 0 0 1 0 1 Total 377 305 278 136 1,096 Table BR011: Freq more than 2 glasses beer in a day “Please look at card 11. During the last six months, how often have you had more than two glasses or cans of beer or cider in a single day?” Men 50-59 60-69 70-79 80+ Total Almost every day 20 24 8 1 54 Five or six days a week 17 15 5 2 39 Three or four days a week 39 27 9 3 78 Once or twice a week 68 43 20 2 134 Once or twice a month 62 40 15 9 126 Less than once a month 41 25 26 1 93 Not at all in the last 6 months 41 47 40 15 143 Total 290 222 123 34 668 Remark: This table includes those men who answer in br010 to have consumed more than two glasses of alcohol.

Women 50-59 60-69 70-79 80+ Total Almost every day 1 4 0 0 5 Five or six days a week 5 3 0 0 8 Three or four days a week 13 11 1 0 25 Once or twice a week 30 23 9 3 65 Once or twice a month 27 29 15 4 76 Less than once a month 56 33 28 6 122 Not at all in the last 6 months 121 93 72 34 321 Don't know 0 0 1 0 1 Total 253 196 126 48 623 Remark: This table includes those women who answer in br010 to have consumed more than two glasses of alcohol. Table BR012: Freq more than 2 glasses wine in a day “Please look at card 11. During the last six months, how often have you had more than two glasses of wine in a single day?” Men 50-59 60-69 70-79 80+ Total Almost every day 8 7 4 2 21 Five or six days a week 9 11 4 2 26 Three or four days a week 18 29 10 1 59 Once or twice a week 67 47 13 0 127 Once or twice a month 61 44 24 9 138 Less than once a month 47 24 30 9 110 Not at all in the last 6 months 79 59 38 10 187 Total 290 222 123 34 668 Remark: This table includes those men who answer in br010 to have consumed more than two glasses of alcohol. Women 50-59 60-69 70-79 80+ Total Almost every day 1 5 1 0 7 Five or six days a week 5 1 0 1 7 Three or four days a week 9 12 2 0 23 Once or twice a week 46 26 7 6 85 Once or twice a month 53 39 21 6 119 Less than once a month 61 46 30 6 143 Not at all in the last 6 months 76 68 65 30 239 Total 253 196 126 48 623 Remark: This table includes those women who answer in br010 to have consumed more than two glasses of alcohol.

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Table BR013: Freq more than 2 hard liquor in a day “Please look at card 11. During the last six months, how often have you had more than two cocktails or drinks of hard liquor in a single day?” Men 50-59 60-69 70-79 80+ TotalAlmost every day 4 4 3 0 11Five or six days a week 2 1 0 0 3Three or four days a week 3 5 2 0 9Once or twice a week 11 9 1 2 24Once or twice a month 36 24 9 2 71Less than once a month 66 38 18 6 127Not at all in the last 6 months 168 141 90 24 423Total 290 222 123 34 668Remark: This table includes those men who answer in br010 to have consumed more than two glasses of alcohol. Women 50-59 60-69 70-79 80+ TotalAlmost every day 0 1 0 0 1Five or six days a week 1 1 1 0 3Three or four days a week 1 1 0 0 2Once or twice a week 6 4 1 0 11Once or twice a month 9 6 7 0 23Less than once a month 53 33 13 6 105Not at all in the last 6 months 182 151 104 42 479Total 253 196 126 48 623Remark: This table includes those women who answer in br010 to have consumed more than two glasses of alcohol. Table BR015: Sports or activities that are vigorous “How often do you engage in vigorous physical activity, such as sports, heavy housework, or a job that involves physical labour?” Men 50-59 60-69 70-79 80+ TotalMore than once a week 140 87 34 1 262Once a week 66 50 27 6 149One to three times a month 60 36 24 2 122Hardly ever, or never 71 80 79 42 272Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ TotalMore than once a week 112 69 46 9 236Once a week 66 48 32 11 157One to three times a month 55 39 27 13 135Hardly ever, or never 143 149 173 104 569Total 377 305 278 136 1,096 Table BR016: Activities requiring a moderate level of energy “How often do you engage in activities that require a low or moderate level of energy such as gardening, cleaning the car, or doing a walk?” Men 50-59 60-69 70-79 80+ TotalMore than once a week 229 177 99 28 532Once a week 62 39 20 8 129One to three times a month 28 18 20 4 70Hardly ever, or never 18 20 25 11 73Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ TotalMore than once a week 252 209 152 50 663Once a week 66 39 47 21 173One to three times a month 34 28 22 8 91Hardly ever, or never 24 30 57 58 169Total 377 305 278 136 1,096

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Table BR017: Interviewer check br Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ Total Respondent only 333 241 154 46 773 Respondent and proxy 4 9 8 4 26 Proxy only 0 3 1 1 5 Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ Total Respondent only 370 304 269 120 1,062 Respondent and proxy 3 2 6 9 19 Proxy only 3 0 3 8 15 Total 377 305 278 136 1,096

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3.5 Cognitive Function (CF) The questions in the cognitive function module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table CF001: Self-rated reading skills “How would you rate your reading skills needed in your daily life? Would you say they are….?” Men 50-59 60-69 70-79 80+ TotalExcellent 156 81 31 8 275Very good 104 96 56 16 272Good 67 59 64 16 206Fair 9 12 9 6 35Poor 0 3 3 7 13Don't know 0 2 1 0 3Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ TotalExcellent 194 112 55 24 385Very good 114 97 85 23 319Good 63 79 105 49 296Fair 5 16 26 27 74Poor 0 1 3 10 14Don't know 1 0 3 3 8Total 377 305 278 136 1,096 Table CF002: Self-rated writing skills “How would you rate your writing skills needed in your daily life? Would you say they are….?” Men 50-59 60-69 70-79 80+ TotalExcellent 146 74 26 9 255Very good 94 83 50 12 239Good 79 71 63 16 228Fair 15 20 18 9 62Poor 3 3 6 5 17Don't know 0 2 1 0 3Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ TotalExcellent 179 105 43 20 347Very good 116 91 88 27 322Good 71 88 100 49 308Fair 9 20 35 25 90Poor 0 2 8 12 22Don't know 1 0 3 3 8Total 377 305 278 136 1,096 Table CF003: Date-day of month “Which day of the month is it?” Men 50-59 60-69 70-79 80+ TotalDay of month given correctly 316 218 133 36 702Day of month given incorrectly/doesn't know day 21 33 29 15 97Don't know 0 2 1 1 4Total 336 253 163 51 804

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Women 50-59 60-69 70-79 80+ Total Day of month given correctly 343 275 233 104 954 Day of month given incorrectly/doesn't know day 33 30 41 27 131 Don't know 1 1 3 5 11 Total 377 305 278 136 1,096 Table CF004: Date-Month “Which month is it?” Men 50-59 60-69 70-79 80+ Total Month given correctly 335 249 159 48 792 Month given incorrectly/doesn't know month 1 2 3 2 8 Don't know 0 2 1 1 4 Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ Total Month given correctly 374 304 270 123 1,072 Month given incorrectly/doesn't know month 1 0 5 8 13 Don't know 1 1 3 5 11 Total 377 305 278 136 1,096 Table CF005: Date-year “Which year is it?” Men 50-59 60-69 70-79 80+ Total Year given correctly 336 250 160 49 796 Year given incorrectly/doesn't know year 0 1 2 1 4 Don't know 0 2 1 1 4 Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ Total Year given correctly 375 304 273 127 1,080 Year given incorrectly/doesn't know year 0 1 1 4 6 Don't know 1 0 3 5 10 Total 377 305 278 136 1,096 Table CF006: Day of the week “Can you tell me what day of the week it is?” Men 50-59 60-69 70-79 80+ Total Day of week given correctly 329 245 153 47 774 Day of week given incorrectly/doesn't know day 8 6 9 3 26 Don't know 0 2 1 1 4 Total 336 253 163 51 804 Women 50-59 60-69 70-79 80+ Total Day of week given correctly 372 300 265 121 1,058 Day of week given incorrectly/doesn't know day 3 6 9 10 28 Don't know 1 0 3 5 10 Total 377 305 278 136 1,096

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Table CF008tot: Ten words list learning first trial “Now please tell me all the words you can recall.” Interviewer: Enter the words respondent correctly recalls. Men 50-59 60-69 70-79 80+ Total0 4 3 2 3 121 13 7 6 3 292 10 4 8 3 253 8 13 15 9 464 33 53 46 12 1445 68 70 41 12 1916 86 50 28 6 1697 55 29 10 1 958 32 12 3 1 489 13 5 2 0 2010 15 5 1 0 21Total 336 251 161 51 800 Women 50-59 60-69 70-79 80+ Total0 0 5 2 8 151 10 11 8 10 392 3 2 16 11 323 21 15 35 33 1044 44 51 57 33 1855 94 81 74 20 2696 74 60 47 13 1947 78 41 23 3 1458 30 28 7 2 689 10 8 3 0 2210 10 4 1 0 15Total 376 305 275 132 1,087 Table CF010: Verbal fluency score “Now I would like you to name as many different animals as you can think of. You have one minute to do this. Ready, go.” Men 50-59 60-69 70-79 80+ Total0-9 9 11 10 10 4010-19 99 97 79 27 30220-29 155 104 51 9 31830-39 52 28 8 3 9240-49 10 7 7 1 2550-59 9 2 3 0 1460-69 1 1 2 0 470-79 1 0 0 0 1Don't know 0 2 0 1 3Total 336 251 160 51 799Remark: The values range from 1 to 72. Women 50-59 60-69 70-79 80+ Total0-9 2 9 23 28 6310-19 103 120 159 70 45220-29 220 126 71 25 44230-39 34 34 8 3 7940-49 15 6 6 3 3050-59 1 7 6 1 1560-69 0 2 2 0 590-99 1 0 0 0 1Don't know 0 0 0 1 1Total 376 305 275 132 1,087Remark: The values range from 3 to 90.

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Table CF012: Numeracy-chance disease 10 perc. of 1000 “If the chance of getting a disease is 10 per cent, how many people out of 1,000 (one thousand) would be expected to get the disease?” Men 50-59 60-69 70-79 80+ Total 100 311 234 141 39 726 10 6 5 5 1 17 90 0 1 0 1 2 900 3 1 0 1 4 Other answer 16 9 12 8 45 Don't know 0 3 4 1 8 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total 100 349 266 225 85 925 10 9 14 16 7 46 90 2 2 0 3 7 900 5 2 1 2 10 Other answer 9 20 31 34 94 Don't know 2 2 5 5 14 Total 377 305 278 136 1,096 Table CF013: Numeracy-half price “In a sale, a shop is selling all items at half price. Before the sale, a sofa costs 300 euro. How much will it cost in the sale?” Men 50-59 60-69 70-79 80+ Total 150 {local currency} 17 9 9 8 43 600 {local currency} 2 2 0 0 4 Other answer 5 5 10 3 23 Don't know 0 3 2 1 6 Total 25 19 21 12 76 Remark: This table includes those men who answer in cf012 not with “100 euro”. Women 50-59 60-69 70-79 80+ Total 150 {local currency} 19 29 30 20 99 600 {local currency} 6 3 1 6 16 Other answer 1 5 16 18 40 Don't know 1 1 5 5 12 Total 28 38 52 50 168 Remark: This table includes those women who answer in cf012 not with “100 euro”. Table CF014: Numeracy-6000 is two-thirds what is total price “A second hand dealer is selling a car for 6,000 euro. This is two-thirds of what it costs new. How much did the car cost new?” Men 50-59 60-69 70-79 80+ Total 9,000 {local currency} 257 179 92 22 550 4,000 {local currency} 8 10 12 2 32 8,000 {local currency} 1 5 7 3 16 12,000 {local currency} 7 8 4 4 23 18,000 {local currency} 26 27 18 2 74 Other answer 13 5 8 4 30 Don't know 0 1 1 0 2 Total 312 235 142 39 727 Remark: This table includes those men who answer in cf012 with “100 euro”.

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Women 50-59 60-69 70-79 80+ Total9,000 {local currency} 257 178 139 37 6114,000 {local currency} 13 11 9 8 418,000 {local currency} 4 5 6 7 2012,000 {local currency} 11 11 14 3 3918,000 {local currency} 33 27 22 9 91Other answer 32 34 37 20 122Don't know 0 1 0 2 3Total 350 267 226 85 928Remark: This table includes those women who answer in cf012 with “100 euro”. Table CF015: Numeracy-amount in the savings account “Let’s say you have 2000 euro in a savings account. The account earns ten per cent interest each year. How much would you have in the account at the end of two years?” Men 50-59 60-69 70-79 80+ Total2420 {local currency} 103 56 24 8 1902020 {local currency} 2 2 4 1 102040 {local currency} 6 6 8 1 222100 {local currency} 0 2 2 0 42200 {local currency} 27 16 10 6 592400 {local currency} 107 84 41 4 236Other answer 10 13 3 2 28Total 256 179 91 22 548Remark: This table includes those men who answer in cf014 with “9,000 euro”. Women 50-59 60-69 70-79 80+ Total2420 {local currency} 78 58 26 7 1692020 {local currency} 2 6 5 2 152040 {local currency} 14 11 10 2 372100 {local currency} 0 1 1 1 32200 {local currency} 28 15 25 3 712400 {local currency} 121 79 61 18 279Other answer 15 8 10 4 38Total 258 178 139 37 612Remark: This table includes those women who answer in cf014 with “9,000 euro”. Table CF016: Ten words list learning delayed recall total “A little while ago, I read you a list of words and you repeated the ones you could remember. Please tell me any of the words that you can remember now?” Men 50-59 60-69 70-79 80+ Total0 18 13 23 12 661 31 28 19 12 912 25 31 23 12 903 50 46 43 9 1484 71 60 19 1 1515 67 35 19 0 1206 20 16 14 2 527 28 10 0 0 398 13 6 1 0 209 1 4 1 2 810 13 3 0 0 16Total 336 251 161 51 800

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Women 50-59 60-69 70-79 80+ Total 0 9 18 31 32 89 1 27 27 29 22 105 2 45 31 49 25 150 3 53 72 65 29 219 4 78 59 49 10 197 5 60 47 30 12 149 6 45 22 14 1 82 7 26 11 5 0 41 8 16 11 2 1 31 9 5 3 0 0 8 10 12 3 1 0 16 Total 376 305 275 132 1,087 Table CF017: Contextual factors during the cognitive function test Interviewer: Were there any factor that may have impaired the respondent’s performance on the test? Men 50-59 60-69 70-79 80+ Total Yes 30 27 21 8 86 No 306 224 140 43 714 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 35 33 46 26 140 No 340 272 230 105 947 Don't know 1 0 2 5 9 Total 377 305 278 136 1,096 Table CF018d1: Who present during cf, respondent alone Interviewer: Who was present during this section? (Respondent alone) Men 50-59 60-69 70-79 80+ Total Not selected 30 35 35 7 106 Selected 308 219 129 46 702 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 34 22 23 22 100 Selected 345 284 258 115 1,002 Total 378 306 281 136 1,102 Table CF018d2: Who present during cf, partner present Interviewer: Who was present during this section? (Partner) Men 50-59 60-69 70-79 80+ Total Not selected 313 223 137 49 723 Selected 25 31 27 3 85 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 352 290 266 133 1,041 Selected 27 16 15 3 61 Total 378 306 281 136 1,102

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Table CF018d3: Who present during cf, child(ren) present Interviewer: Who was present during this section? (Child(ren)) Men 50-59 60-69 70-79 80+ TotalNot selected 335 253 163 50 801Selected 3 1 1 2 7Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 373 304 280 123 1,081Selected 5 2 1 13 21Total 378 306 281 136 1,102 Table CF018d4: Who present during cf, other(s) Interviewer: Who was present during this section? (Other(s)) Men 50-59 60-69 70-79 80+ TotalNot selected 336 252 160 52 801Selected 1 2 4 0 7Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 302 280 135 1,096Selected 0 4 1 1 6Total 378 306 281 136 1,102

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3.6 Mental Health (MH) The questions in the mental health module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table MH002: Sad or depressed last month “In the last month, have you been sad or depressed?” Men 50-59 60-69 70-79 80+ Total Yes 89 49 34 12 183 No 248 203 127 39 617 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 133 107 111 55 405 No 244 199 164 81 687 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH003: Hopes for the future “What are your hopes for the future?” Men 50-59 60-69 70-79 80+ Total Any hopes mentioned 272 205 112 30 618 No hopes mentioned 64 47 50 21 182 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Any hopes mentioned 323 245 197 74 839 No hopes mentioned 53 60 78 61 252 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH004: Felt would rather be dead “In the last month, have you felt that you would rather be dead?” Men 50-59 60-69 70-79 80+ Total Any mention of suicidal feelings or wishing to be dead 10 1 5 2 18 No such feelings 326 251 155 49 781 Don't know 0 2 2 0 4 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Any mention of suicidal feelings or wishing to be dead 14 9 22 13 58 No such feelings 363 296 253 122 1,034 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096

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Table MH005: Feels guilty “Do you tend to blame yourself or feel guilty about anything?” Men 50-59 60-69 70-79 80+ TotalObvious excessive guilt or self-blame 7 1 3 0 11No such feelings 299 237 145 49 730Mentions guilt or self-blame, but it is unclear if these constitute obvious or excessive guilt or self-blame

30 14 13 1 58

Don't know 0 2 1 1 4Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalObvious excessive guilt or self-blame 18 11 5 4 39No such feelings 308 256 249 121 934Mentions guilt or self-blame, but it is unclear if these constitute obvious or excessive guilt or self-blame

51 38 21 9 118

Don't know 0 0 3 2 6Total 377 305 278 136 1,096 Table MH006: Blame for what “So for what do you blame yourself?” Men 50-59 60-69 70-79 80+ TotalExample(s) given constitute obvious excessive guilt or self-blame

0 1 1 0 2

Example(s) do not constitute obvious excessive guilt or self-blame, or it remains unclear if these constitute obvious or axcessive guilt or self-blame

29 12 12 1 54

Don't know 0 1 0 0 1Total 29 13 12 1 56Remark: This table includes those men who answer in mh005 with “Mentions guilt or self-blame, but it is unclear if these constitute obvious or excessive guilt or self-blame”. Women 50-59 60-69 70-79 80+ TotalExample(s) given constitute obvious excessive guilt or self-blame

4 5 6 1 16

Example(s) do not constitute obvious excessive guilt or self-blame, or it remains unclear if these constitute obvious or axcessive guilt or self-blame

47 33 15 8 103

Total 51 38 21 9 119Remark: This table includes those women who answer in mh005 with “Mentions guilt or self-blame, but it is unclear if these constitute obvious or excessive guilt or self-blame”. Table MH007: Trouble sleeping “Have you had trouble sleeping recently?” Men 50-59 60-69 70-79 80+ TotalTrouble with sleep or recent change in pattern 71 59 36 10 176No trouble sleeping 265 193 125 41 624Don't know 0 2 1 0 3Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalTrouble with sleep or recent change in pattern 132 107 103 51 393No trouble sleeping 245 199 172 84 699Don't know 0 0 3 1 5Total 377 305 278 136 1,096

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Table MH008: Less or same interest in things “In the last month, what is your interest in things?” Men 50-59 60-69 70-79 80+ Total Less interest than usual mentioned 12 2 16 6 35 No mention of loss of interest 316 245 144 43 748 Non-specific or uncodeable response 9 5 1 2 17 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Less interest than usual mentioned 23 16 27 17 84 No mention of loss of interest 347 283 240 113 983 Non-specific or uncodeable response 7 6 7 4 24 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH009: Keeps up interest “So, do you keep up your interests?” Men 50-59 60-69 70-79 80+ Total Yes 6 5 1 2 14 No 2 1 0 0 3 Total 9 5 1 2 17 Remark: This table includes those men who answer in mh008 with “Non-specific or uncodeable response”. Women 50-59 60-69 70-79 80+ Total Yes 6 6 5 4 21 No 1 0 2 0 3 Total 7 6 7 4 24 Remark: This table includes those women who answer in mh008 with “Non-specific or uncodeable response”. Table MH010: Irritability “Have you been irritable recently?” Men 50-59 60-69 70-79 80+ Total Yes 58 26 24 2 110 No 278 226 137 49 690 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 67 41 29 10 146 No 310 264 246 125 945 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH011: Appetite “What has your appetite been like?” Men 50-59 60-69 70-79 80+ Total Diminution in desire for food 25 2 14 8 48 No diminution in desire for food 306 248 143 41 738 Non-specific or uncodeable response 5 2 4 2 14 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Diminution in desire for food 26 27 30 23 106 No diminution in desire for food 342 272 239 109 962 Non-specific or uncodeable response 8 6 6 3 23 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096

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Table MH012: Eating more or less “So, have you been eating more or less than usual?” Men 50-59 60-69 70-79 80+ TotalLess 0 1 2 0 3Neither more nor less 5 2 2 2 10Total 5 2 4 2 13Remark: This table includes those men who answer in mh008 with “Non-specific or uncodeable response”. Women 50-59 60-69 70-79 80+ TotalLess 3 2 1 1 7More 5 1 0 0 5Neither more nor less 0 4 5 2 10Total 8 6 6 3 23Remark: This table includes those women who answer in mh008 with “Non-specific or uncodeable response”. Table MH013: Fatigue “In the last month, have you had too little energy to do the things you wanted to do?” Men 50-59 60-69 70-79 80+ TotalYes 70 41 43 16 169No 267 211 119 36 632Don't know 0 1 1 0 2Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalYes 90 78 110 62 340No 286 227 165 73 751Don't know 0 0 3 1 5Total 377 305 278 136 1,096 Table MH014: Concentration on entertainment “How is your concentration? For example, can you concentrate on a television programme, film or radio programme?” Men 50-59 60-69 70-79 80+ TotalDifficulty in concentrating on entertainment 25 21 26 18 89No such difficulty mentioned 312 231 135 33 711Don't know 0 2 1 0 3Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalDifficulty in concentrating on entertainment 37 31 38 37 143No such difficulty mentioned 339 274 237 98 949Don't know 0 0 3 1 5Total 377 305 278 136 1,096 Table MH015: Concentration on reading “Can you concentrate on something you read?” Men 50-59 60-69 70-79 80+ TotalDifficulty in concentrating on reading 19 20 14 15 67No such difficulty mentioned 318 232 147 37 733Don't know 0 2 1 0 3Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalDifficulty in concentrating on reading 33 27 33 38 130No such difficulty mentioned 344 279 240 97 960Refusal 0 0 1 0 1Don't know 0 0 3 1 5Total 377 305 278 136 1,096

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Table MH016: Enjoyment “What have you enjoyed doing recently?” Men 50-59 60-69 70-79 80+ Total Fails to mention any enjoyable activity 46 30 31 17 123 Mentions any enjoyment from activity 290 222 130 34 677 Don't know 0 2 1 0 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Fails to mention any enjoyable activity 45 49 56 38 188 Mentions any enjoyment from activity 332 256 218 97 903 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH017: Tearfulness “In the last month, have you cried at all?” Men 50-59 60-69 70-79 80+ Total Yes 25 14 11 8 57 No 312 238 150 42 742 Don't know 0 2 1 1 4 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 118 87 74 34 314 No 258 218 200 101 778 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH018: Depression ever “Has there been a time or times in your life when you suffered from symptoms of depression which lasted at least two weeks?” Men 50-59 60-69 70-79 80+ Total Yes 54 26 14 3 97 No 282 226 147 47 702 Don't know 0 2 1 1 4 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 93 69 51 24 237 No 283 237 223 111 854 Don't know 0 0 3 1 5 Total 377 305 278 136 1,096 Table MH019: Age depression symptoms first time “How old were you when the symptoms occurred for the first time?” Men 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 10-19 4 0 0 0 4 20-29 1 2 0 0 3 30-39 10 3 1 0 14 40-49 26 5 2 0 33 50-59 9 11 3 0 23 60-69 0 4 3 1 8 70-79 0 0 4 1 5 80-89 0 0 0 1 1 Don't know 1 0 1 0 2 Total 52 25 13 3 94 Remark:. This table includes those men who report in mh018 to have had depressions. The values range from 9 to 80

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Women 50-59 60-69 70-79 80+ Total0-9 2 1 0 0 310-19 6 6 1 1 1420-29 6 5 3 0 1430-39 19 8 1 1 2940-49 41 15 8 0 6550-59 19 17 9 8 5360-69 0 14 14 4 3270-79 0 0 14 7 2080-89 0 0 0 3 3Don't know 1 2 1 0 5Total 94 69 52 24 238Remark: This table includes those women who report in mh018 to have had depressions. The values range from 1 to 83. Unplausible values have to be excluded for further analyses. Table MH020: Ever treated for depression by doctor or psychiatrist “Were you ever treated for depression by a family doctor or a psychiatrist?” Men 50-59 60-69 70-79 80+ TotalYes 18 14 4 2 37No 35 11 10 1 57Total 52 25 13 3 94Remark: This table includes those men who report in mh018 to have had depressions. Women 50-59 60-69 70-79 80+ TotalYes 52 34 18 12 116No 42 35 33 12 122Total 94 69 52 24 238Remark: This table includes those women who report in mh018 to have had depressions. Table MH021: Ever admitted to mental hospital or psychiatric ward “Were you ever admitted to a mental hospital or psychiatric ward?” Men 50-59 60-69 70-79 80+ TotalYes 5 3 2 0 10No 48 22 12 3 84Total 52 25 13 3 94Remark: This table includes those men who report in mh018 to have had depressions. Women 50-59 60-69 70-79 80+ TotalYes 10 8 2 3 24No 84 60 49 21 214Total 94 69 52 24 238Remark: This table includes those women who report in mh018 to have had depressions.

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3.7 Health Care (HC) The questions in the health care module are asked to all eligibles persons in a household and refer to care during the last twelve months. For the definition of “eligible” see our introduction. Table HC002: How often seen or talked to medical doctor last 12 months “About how many times in total have you seen or talked to a medical doctor about your health? Please exclude dentist visits and hospital stays, but include emergency room or outpatient clinic visits.” Men 50-59 60-69 70-79 80+ Total 0 60 41 27 4 132 1-9 219 168 91 32 511 10-19 47 36 30 11 124 20-29 3 5 8 2 18 30-39 4 1 1 0 6 40-49 1 0 1 0 2 50-59 0 1 0 1 2 60-69 0 0 2 0 2 80-89 1 0 1 0 2 90-99 0 1 1 0 2 Don't know 1 0 1 0 2 Total 336 253 162 51 803 Remark: The values range from 0 to 96. Women 50-59 60-69 70-79 80+ Total 0 50 37 32 13 133 1-9 251 198 158 63 670 10-19 53 53 64 38 208 20-29 16 10 10 11 47 30-39 0 1 5 1 6 40-49 1 2 1 1 5 50-59 1 2 3 3 10 70-79 1 0 0 1 2 90-99 2 1 2 2 8 Don't know 0 2 2 2 7 Total 377 305 278 136 1,096 Remark: The values range from 0 to 98.

Table HC003: How many of these contacts with general practitioner “How many of these contacts were with a general practitioner or with a doctor at your health care center?” Men 50-59 60-69 70-79 80+ Total 0 15 16 10 3 44 1-9 221 171 88 36 516 10-19 31 23 27 6 87 20-29 5 3 5 1 14 30-39 1 0 2 0 3 40-49 1 0 0 0 1 50-59 0 0 2 1 3 60-69 0 0 1 0 1 Don't know 1 0 0 0 1 Total 276 213 135 47 670 Remark: This table includes those men who report in hc002 to have seen or talked to a medical doctor (during the last twelve months). The values range from 0 to 60.

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Women 50-59 60-69 70-79 80+ Total0 17 13 6 3 391-9 262 206 167 71 70510-19 38 39 58 33 16820-29 6 4 5 9 2330-39 0 1 3 1 540-49 2 2 1 1 650-59 1 1 1 1 460-69 0 0 1 0 170-79 0 0 0 1 190-99 0 1 1 1 3Total 326 266 243 121 956Remark: This table includes those women who report in hc002 to have seen or talked to a medical doctor (during the last twelve months). The values range from 0 to 98. HC004: Contacts with specialists “During the last 12 months, have you consulted any of the specialists mentioned on card 12?”

(For the list of specialists on card 12 see hc005.) Men 50-59 60-69 70-79 80+ TotalYes 99 97 61 20 277No 7 3 3 0 13Don't know 1 0 0 0 1Total 107 100 64 20 292Remark: This table includes those men who report in hc002 to have seen or talked to a medical doctor (during the last twelve months) and for whom the number of contacts with a general practitioner in hc003 is lower then the number of visits to a medical doctor in hc002. Furthermore it includes those who answered in hc002 with “Don’t know”. Women 50-59 60-69 70-79 80+ TotalYes 155 124 104 46 429No 10 7 9 7 33Don't know 0 0 2 0 2Total 165 131 116 52 464Remark: This table includes those women who report in hc002 to have seen or talked to a medical doctor (during the last twelve months) and for whom the number of contacts with a general practitioner in hc003 is lower then the number of visits to a medical doctor in hc002. Furthermore it includes those who answered in hc002 with “Don’t know”.

HC005: Last consultation to specialist “Which of these specialists did you consult most recently?” Men 50-59 60-69 70-79 80+ TotalSpecialist for heart disease, pulmonary, gastroenterology, diabetes or endocrine diseases

38 44 24 9 115

Dermatologist 5 6 2 1 14Neurologist 4 2 1 1 8Opthalmologist 9 10 9 6 34Ear, nose and throat specialist 9 6 1 1 18Rheumatologist or physiatrist 5 2 3 0 10Orthopaedist 12 6 1 0 19Surgeon 4 2 1 0 7Psychiatrist 3 0 1 0 4Gynaecologist 0 0 1 0 1Urologist 10 17 14 2 43Oncologist 0 1 3 0 4Refusal 0 1 0 0 1Total 99 97 61 20 278Remark: This table includes those men who report in hc004 to have consulted a specialist.

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Women 50-59 60-69 70-79 80+ Total Specialist for heart disease, pulmonary, gastroenterology, diabetes or endocrine diseases

23 31 30 14 99

Dermatologist 11 11 10 2 35 Neurologist 9 6 6 2 23 Opthalmologist 13 18 18 10 59 Ear, nose and throat specialist 4 2 2 3 11 Rheumatologist or physiatrist 5 6 3 2 17 Orthopaedist 24 18 13 8 62 Surgeon 7 4 6 1 18 Psychiatrist 1 2 1 0 4 Gynaecologist 52 23 10 0 85 Urologist 2 0 1 1 5 Oncologist 1 3 3 0 8 Geriatrician 2 0 0 2 4 Total 155 124 104 46 430 Remark: This table includes those women who report in hc004 to have consulted a specialist. HC006: Type of last consultation to specialist “Was your last consultation with a specialist for an emergency, for a new health problem which was not an emergency, or for a regular, scheduled visit, including a check-up?” Men 50-59 60-69 70-79 80+ Total For an emergency 9 7 4 1 21 For a new problem (including referral by the general practitioner)

15 14 5 3 38

For regular, scheduled visit (including check-up) 75 76 52 16 218 Total 99 97 61 20 278 Remark: This table includes those men who report in hc004 to have consulted a specialist.

Women 50-59 60-69 70-79 80+ Total For an emergency 15 8 7 5 36 For a new problem (including referral by the general practitioner)

31 23 23 12 89

For regular, scheduled visit (including check-up) 109 93 75 28 305 Total 155 124 104 46 430 Remark: This table includes those women who report in hc004 to have consulted a specialist.

HC007: Days waiting for emergency consultation to specialist “How many days did you have to wait before you could get this consutation with this specialist?” Men 50-59 60-69 70-79 80+ Total 0 5 4 3 1 13 1 3 1 0 0 3 2 0 1 0 0 1 7 0 1 0 0 1 14 1 1 1 0 3 Total 9 7 4 1 21 Remark: This table includes those men who report in hc006 to have consulted a specialist for an emergency.

Women 50-59 60-69 70-79 80+ Total 0 5 5 2 4 16 1 1 0 0 0 1 2 2 1 1 0 4 3 0 0 2 1 3 4 0 1 0 0 1 5 2 0 0 0 2 7 2 0 0 0 2 8 0 1 0 0 1 14 2 0 0 0 2 30 0 0 1 0 1 60 0 1 0 0 1 Total 15 8 7 5 35 Remark: This table includes those women who report in hc006 to have consulted a specialist for an emergency.

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HC008: Weeks waiting for non-emergency consultation “How many weeks did you have to wait to get this consultation?” Men 50-59 60-69 70-79 80+ Total0 4 2 1 3 111 5 7 4 0 162 3 2 0 0 53 1 2 0 0 38 1 0 0 0 112 1 1 0 0 2Total 15 14 5 3 38Remark: This table includes those men who report in hc006 to have consulted a specialist for a new problem. Women 50-59 60-69 70-79 80+ Total0 11 5 3 3 231 8 7 9 1 262 6 4 7 3 203 3 1 0 2 74 1 1 0 0 35 0 0 1 1 26 1 0 2 0 38 0 1 0 0 113 0 1 0 0 114 0 1 0 0 1Don't know 0 0 0 1 1Total 31 22 23 12 87Remark: This table includes those women who report in hc006 to have consulted a specialist for a new problem. HC009: Wish last specialist contact earlier “Would you have liked to get this consultation earlier?” Men 50-59 60-69 70-79 80+ TotalYes 6 5 0 0 11No 9 11 5 0 25Total 16 15 5 0 36Remark: This table includes those men who report in hc007 or in hc008 to have waited some weeks. Women 50-59 60-69 70-79 80+ TotalYes 8 7 10 0 26No 22 13 13 9 56Total 30 20 24 9 82Remark: This table includes those women who report in hc007 or in hc008 to have waited some weeks. HC010: Seen a dentist/dental hygienist “During the last twelve months, have you seen a dentist or a dental hygienist?” Men 50-59 60-69 70-79 80+ TotalYes 193 134 55 17 398No 142 119 107 35 404Don't know 1 0 0 0 1Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalYes 257 184 104 41 586No 119 121 171 95 507Don't know 0 0 2 0 2Total 377 305 278 136 1,096

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HC011: Contact dentist for routine control/prevention or treatment “Was that for routine control or prevention, for treatment, or for both?” Men 50-59 60-69 70-79 80+ Total Only for routine control or prevention 80 55 27 2 164 Only for treatment 61 42 17 7 127 Both for prevention and for treatment 51 36 11 8 105 Total 192 133 55 17 396 Remark: This table includes those men who report in hc010 to have seen a dentist or a dental hygienist (during the last twelve months). Women 50-59 60-69 70-79 80+ Total Only for routine control or prevention 127 89 35 18 268 Only for treatment 60 42 38 14 154 Both for prevention and for treatment 73 55 32 10 171 Total 260 186 105 42 593 Remark: This table includes those women who report in hc010 to have seen a dentist or a dental hygienist (during the last twelve months). HC012: In hospital last 12 months “During the last twelve months, have you been in a hospital overnight?” Men 50-59 60-69 70-79 80+ Total Yes 46 38 38 20 142 No 290 216 124 31 661 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 70 51 83 41 245 No 307 255 191 95 847 Don't know 0 0 2 0 2 Total 377 305 277 136 1,095 HC013: Times being patient in hospital “How often have you been a patient in a hospital overnight during the last twelve months?” Men 50-59 60-69 70-79 80+ Total 1 29 28 22 13 93 2 11 6 10 2 30 3 1 2 1 2 7 4 5 0 3 1 9 7 0 0 1 0 1 8 0 0 0 1 1 10 0 1 1 0 2 Total 46 38 38 20 142 Remark: This table includes those men who report in hc012 to have been in hospital (during the last twelve months). Women 50-59 60-69 70-79 80+ Total 1 47 37 44 25 153 2 8 6 20 11 44 3 5 3 9 1 17 4 2 1 3 1 8 5 2 1 1 1 5 6 2 0 0 1 3 7 0 0 1 0 1 10 2 1 1 0 5 Don't know 0 0 1 0 1 Total 68 49 81 40 238 Remark: This table includes those women who report in hc012 to have been in hospital (during the last twelve months).

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HC014: Total nights stayed in hospital “How many nights altogether have you spent in hospitals during the last twelve months?” Men 50-59 60-69 70-79 80+ Total1-9 27 25 21 13 8710-19 11 6 9 2 2820-29 5 6 7 1 1830-39 4 1 0 1 640-49 0 0 1 0 150-59 0 0 0 1 160-69 0 0 0 1 1Total 46 38 38 20 142Remark: This table includes those men who report in hc012 to have been in hospital (during the last twelve months). The values range from 1 to 60. Women 50-59 60-69 70-79 80+ Total1-9 45 30 38 14 12610-19 9 9 24 12 5420-29 6 5 7 8 2630-39 5 4 6 2 1640-49 3 1 2 1 750-59 0 0 0 2 260-69 0 0 2 0 280-89 0 1 0 0 1100-199 0 0 0 1 1Don't know 0 0 2 0 2Total 68 49 81 40 238Remark: This table includes those women who report in hc012 to have been in hospital (during the last twelve months). The values range from 1 to 150. HC015d1: Reason hospital: inpatient surgery “Please look at card 13. For which of these reasons have you stayed overnight in hospitals during the last twelve months?” (Inpatient surgery) Men 50-59 60-69 70-79 80+ TotalNot selected 316 235 150 39 740Selected 22 19 14 13 68Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 337 280 237 117 971Selected 41 26 45 20 131Total 378 306 281 136 1,102 HC015d2: Reason hospital: medical tests or non-surgical “Please look at card 13. For which of these reasons have you stayed overnight in hospitals during the last twelve months?” (Medical tests or non-surgical treatments (except mental health)) Men 50-59 60-69 70-79 80+ TotalNot selected 314 234 140 46 735Selected 23 20 24 7 73Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 350 280 243 111 985Selected 29 25 38 25 117Total 378 306 281 136 1,102

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HC015d3: Reason hospital: mental health “Please look at card 13. For which of these reasons have you stayed overnight in hospitals during the last twelve months?” (Mental health problems) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 164 52 807 Selected 1 0 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 305 278 136 1,094 Selected 3 1 3 0 8 Total 378 306 281 136 1,102 HC016: Times overnight in hospital for surgery “How often have you stayed overnight in a hospital for a surgery during the last twelve months?” Men 50-59 60-69 70-79 80+ Total 1 2 2 0 5 9 2 4 2 4 0 10 3 1 2 1 0 4 4 0 0 1 1 2 Total 7 6 6 6 25 Remark: This table includes those men who report in in hc015d1 to have stayed in hospital for inpatient surgery and who report in hc013 to have been patient in a hospital overnight more than one time. Women 50-59 60-69 70-79 80+ Total 1 4 2 6 2 15 2 4 4 9 4 21 3 1 1 2 0 4 4 1 0 1 1 3 5 1 0 1 0 2 6 1 0 0 0 1 Total 13 6 19 7 46 Remark: This table includes those women who report in hc015d1 to have stayed in hospital for inpatient surgery and who report in hc013 to have been patient in a hospital overnight more than one time. HC017: Had inpatient surgery last 12 months “During the last twelve months, have you had any of these surgeries as an inpatient?” Men 50-59 60-69 70-79 80+ Total Yes 20 13 12 12 58 No 1 6 2 1 10 Total 22 19 14 13 68 Remark: This table includes those men who report in in hc015d1 to have stayed in hospital for inpatient surgery. Women 50-59 60-69 70-79 80+ Total Yes 35 24 33 15 108 No 5 1 10 4 19 Total 40 25 43 19 127 Remark: This table includes those women who report in hc015d1 to have stayed in hospital for inpatient surgery.

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HC018: Which inpatient surgery “Please look at card 14. Which surgery was that?” Men 50-59 60-69 70-79 80+ TotalCardiac catheterization, including removal of obstruction, stent

1 1 2 1 5

Coronary artery bypass graft 1 0 2 0 3Any ear, nose and throat surgery 1 2 0 1 4Any biopsy 0 1 0 1 2Hip replacement 1 0 0 0 1Knee replacement 0 0 3 1 4Surgical treatment of fracture or ortopaedic trauma 4 1 0 0 4Hernia repair 0 2 0 1 3Cholecystectomy 1 0 2 0 3Prostatectomy 0 2 1 0 3Cataract surgery 0 2 1 3 7Any other inpatient surgery 11 3 1 3 18Total 20 13 12 12 57Remark: This table includes those men who report in hc017 to have had surgeries as an inpatient (during the last twelve months). Women 50-59 60-69 70-79 80+ TotalCardiac catheterization, including removal of obstruction, stent

1 1 3 1 7

Coronary artery bypass graft 0 0 1 1 2Insertion, replacement or removal of pacemaker 0 0 0 1 1Any ear, nose and throat surgery 1 1 0 0 2Any biopsy 3 1 0 0 4Hip replacement 1 2 3 2 9Knee replacement 5 6 3 0 14Surgical treatment of fracture or ortopaedic trauma 3 3 3 2 12Hernia repair 0 0 0 1 1Cholecystectomy 2 1 0 0 3Hysterectomy 3 1 2 0 6Cataract surgery 2 1 7 4 14Any other inpatient surgery 14 8 10 2 34Total 36 25 34 15 109Remark: This table includes those women who report in hc017 to have had surgeries as an inpatient (during the last twelve months). HC019: Planned or emergency inpatient surgery “Was this a planned surgery or an emergency surgery?” Men 50-59 60-69 70-79 80+ TotalPlanned surgery 15 11 7 12 45Emergency surgery 5 2 5 0 12Total 20 13 12 12 57Remark: This table includes those men who report in hc017 to have had surgeries as an inpatient (during the last twelve months). Women 50-59 60-69 70-79 80+ TotalPlanned surgery 30 19 28 11 87Emergency surgery 6 6 6 4 22Total 36 25 34 15 109Remark: This table includes those women who report in hc017 to have had surgeries as an inpatient (during the last twelve months). HC020: Months waiting for last inpatient surgery “How many months did you have to wait to get this surgery?” Men 50-59 60-69 70-79 80+ Total0 6 2 3 6 161 4 5 3 3 152 2 1 0 1 43 1 3 1 2 818 1 0 0 0 124 1 0 0 0 1Total 15 11 7 12 45Remark: This table includes those men who report in hc019 to have had a planned surgery.

124 Women 50-59 60-69 70-79 80+ Total 0 13 4 9 2 28 1 5 6 7 1 18 2 7 4 3 2 17 3 3 1 2 1 7 4 1 1 2 1 6 5 0 1 1 1 3 6 0 0 3 1 4 7 0 1 0 0 1 8 0 1 0 0 1 9 0 0 0 1 1 11 1 0 0 0 1 Total 30 19 28 11 87 Remark: This table includes those women who report in hc019 to have had a planned surgery. HC021: Wish last inpatient surgery earlier “Would you have liked to get this surgery earlier?” Men 50-59 60-69 70-79 80+ Total Yes 5 2 0 0 7 No 5 7 4 7 23 Total 10 10 4 7 30 Remark: This table includes those men who report in hc020 to have had waited at least one month. Women 50-59 60-69 70-79 80+ Total Yes 7 3 6 5 21 No 10 12 14 3 39 Total 17 15 19 9 60 Remark: This table includes those women who report in hc020 to have had waited at least one month. HC022: Times overnight in hospital for mental health problems3 How often have you stayed overnight in a hospital for mental health problems during the last twelve months?” Women 50-59 60-69 70-79 80+ Total 1 0 0 3 0 3 Total 0 0 3 0 3 Remark: This table includes those women who report in hc015d3 to have stayed in hospital for mental health problems and who report in hc013 to have been patient in a hospital overnight more than one time. HC023: Had outpatient surgery last 12 months “During the last twelve months, have you had outpatient surgery?” Men 50-59 60-69 70-79 80+ Total Yes 11 10 5 1 28 No 325 243 157 50 775 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 10 9 6 3 29 No 366 296 269 133 1,064 Don't know 0 0 2 0 2 Total 377 305 277 136 1,095

3 In the Austrian dataset there are no men who report in hc015d3 to have stayed in hospital for mental health problems and who report in hc013 to have been patient in a hospital overnight more than one time.

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HC024: Times had outpatient surgery last 12 months “How often have you had outpatient surgery during the last twelve months?” Men 50-59 60-69 70-79 80+ Total1 11 10 3 0 242 0 0 0 1 13 0 1 1 0 24 0 0 1 0 1Total 11 10 5 1 28Remark: This table includes those men who report in hc023 to have had outpatient surgery. Women 50-59 60-69 70-79 80+ Total1 9 8 5 2 252 0 1 0 1 23 1 0 1 0 2Total 11 9 6 3 29Remark: This table includes those women who report in hc023 to have had outpatient surgery. HC025: Any of these outpatient surgeries last 12 months “Please look at card 15. During the last twelve months, have you had any of these surgeries as an outpatient listed?” Men 50-59 60-69 70-79 80+ TotalYes 5 8 1 1 15No 6 2 4 0 13Total 11 10 5 1 28Remark: This table includes those men who report in hc023 to have had outpatient surgery. Women 50-59 60-69 70-79 80+ TotalYes 6 4 1 2 13No 5 5 5 1 16Total 11 9 6 3 29Remark: This table includes those women who report in hc023 to have had outpatient surgery. HC026: Which outpatient surgery “Still looking at card 15, which outpatient surgery was that?” Men 50-59 60-69 70-79 80+ TotalKnee arthroscopy 1 0 0 0 1Hernia repair 0 1 0 0 1Biopsy or cyst removal 0 2 0 0 2Hand surgery 1 2 0 0 3Anal surgery 1 1 0 0 2Any other outpatient surgery performed in an operating room

1 3 1 1 7

Total 5 8 1 1 16Remark: This table includes those men who report in hc025 to have had at least one outpatient surgery listed. Women 50-59 60-69 70-79 80+ TotalBiopsy or cyst removal 1 1 0 0 2Hand surgery 4 2 0 1 6Vein stripping 0 0 1 0 1Any other outpatient surgery performed in an operating room

1 2 0 1 4

Total 6 4 1 2 13Remark: This table includes those women who report in hc025 to have had at least one outpatient surgery listed.

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HC027: Months waiting for last outpatient surgery “How many months did you have to wait to get this surgery?” Men 50-59 60-69 70-79 80+ Total 0 9 7 4 1 21 1 3 2 1 0 5 2 0 2 0 0 2 Total 11 10 5 1 28 Remark: This table includes those men who report in hc023 to have had outpatient surgery. Women 50-59 60-69 70-79 80+ Total 0 7 8 2 3 20 1 2 1 1 0 4 4 1 1 0 0 2 6 0 0 1 0 1 10 0 0 1 0 1 Total 11 9 6 3 29 Remark: This table includes those women who report in hc023 to have had outpatient surgery. HC028: Wish last outpatient surgery earlier “Would you have liked to get this surgery earlier?” Men 50-59 60-69 70-79 80+ Total Yes 0 0 1 0 1 No 3 3 0 0 6 Total 3 3 1 0 7 Remark: This table includes those men who report in hc027 to have waited to get a surgery. Women 50-59 60-69 70-79 80+ Total Yes 1 0 0 0 1 No 2 1 3 0 7 Total 3 1 3 0 8 Remark: This table includes those women who report in hc027 to have waited to get a surgery. HC029: In a nursing home “During the last twelve months, have you been in a nursing home overnight?” Men 50-59 60-69 70-79 80+ Total Yes, temporarily 0 2 1 2 5 Yes, permanently 0 0 1 1 2 No 336 252 160 48 796 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes, temporarily 0 1 2 4 7 Yes, permanently 0 2 1 4 7 No 377 303 271 128 1,078 Don't know 0 0 2 0 2 Total 377 305 277 136 1,095 HC030: Times stayed in a nursing home overnight “How often have you been in a nursing home overnight during the last twelve months?” Men 50-59 60-69 70-79 80+ Total 1 0 2 1 0 3 4 0 0 0 2 2 Total 0 2 1 2 5 Remark: This table includes those men who report in hc029 to have been temporarily in a nursing home overnight. Women 50-59 60-69 70-79 80+ Total 1 0 1 1 2 4 3 0 0 1 0 1 4 0 0 0 2 2 Total 0 1 2 4 7 Remark: This table includes those women who report in hc029 to have been temporarily in a nursing home overnight.

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HC031: Weeks stayed in a nursing home “During the last 12 months, how many weeks altogether did you stay in a nursing home?” Men 50-59 60-69 70-79 80+ Total4 0 0 1 0 16 0 1 0 0 117 0 0 0 1 118 0 0 0 1 120 0 1 0 0 1Total 0 2 1 2 5Remark: This table includes those men who report in hc029 to have been temporarily in a nursing home overnight. Women 50-59 60-69 70-79 80+ Total2 0 0 1 0 13 0 1 0 1 24 0 0 0 1 19 0 0 1 0 116 0 0 0 1 124 0 0 0 1 1Total 0 1 2 4 7Remark: This table includes those women who report in hc029 to have been temporarily in a nursing home overnight. HC032d1: Received home care for nursing or personal care “Please look at card 16. During the last twelve months, did you receive in your own home any of the kinds of care mentioned on this card?” (Professional or paid nursing or personal care) Men 50-59 60-69 70-79 80+ TotalNot selected 336 251 160 47 794Selected 1 3 4 6 14Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 303 268 120 1,068Selected 1 3 14 16 34Total 378 306 281 136 1,102 HC032d2: Received home care for domestic tasks “Please look at card 16. During the last twelve months, did you receive in your own home any of the kinds of care mentioned on this card?” (Professional or paid home help, for domestic tasks that could not perform yourself due to health problems) Men 50-59 60-69 70-79 80+ TotalNot selected 338 252 161 46 797Selected 0 2 3 7 11Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 300 260 121 1,057Selected 2 6 22 15 45Total 378 306 281 136 1,102 HC032d3: Received meals-on-wheels “Please look at card 16. During the last twelve months, did you receive in your own home any of the kinds of care mentioned on this card?” (Meals-on-wheels) Men 50-59 60-69 70-79 80+ TotalNot selected 336 252 161 46 796Selected 1 2 3 7 12Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ Total Not selected 377 304 271 125 1,078 Selected 1 2 10 11 24 Total 378 306 281 136 1,102 HC033: Weeks received professional nursing care “During the last twelve months, how many weeks did you receive professional or paid nursing care in your own home?” Men 50-59 60-69 70-79 80+ Total 1-9 0 0 1 0 1 10-19 1 0 0 1 2 20-29 0 2 0 0 2 40-49 0 0 1 1 2 50-59 0 2 2 3 7 Total 1 3 4 6 14 Remark: The values range from 3 to 52. This table includes those men who report in hc032d1 to have received home care for nursing or personal care. Women 50-59 60-69 70-79 80+ Total 1-9 0 1 3 2 7 10-19 0 0 1 1 2 20-29 0 0 0 1 1 30-39 0 0 0 1 1 40-49 0 0 3 3 6 50-59 1 1 5 6 14 Don't know 0 0 0 1 1 Total 1 3 13 15 32 Remark: The values range from 2 to 52. This table includes those women who report in hc032d1 to have received home care for nursing or personal care. HC034: Hours received professional nursing care “On average, how many hours per week did you receive professional or paid nursing care at home?” Men 50-59 60-69 70-79 80+ Total 1-9 1 2 3 3 9 10-19 0 1 0 0 1 20-29 0 0 0 2 2 90-99 0 0 1 0 1 100-199 0 1 0 0 1 Total 1 3 4 6 14 Remark: The values range from 1 to 168. This table includes those men who report in hc032d1 to have received home care for nursing or personal care. Women 50-59 60-69 70-79 80+ Total 1-9 1 2 5 10 19 10-19 0 1 1 0 2 20-29 0 0 2 1 3 30-39 0 0 0 1 1 40-49 0 0 2 0 2 70-79 0 0 0 2 2 90-99 0 0 1 0 1 100-199 0 0 1 1 2 Total 1 3 13 15 32 Remark: The values range from 1 to 168. This table includes those women who report in hc032d1 to have received home care for nursing or personal care.

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HC035: Weeks received paid domestic help “During the last twelve months, how many weeks did you receive professional or paid help for domestic tasks at home because you could not perform them yourself due to health problems?” Men 50-59 60-69 70-79 80+ Total1-9 0 0 0 1 120-29 0 0 1 0 130-39 0 0 0 1 140-49 0 0 1 1 250-59 0 2 1 3 6Total 0 2 3 7 11Remark: The values range from 5 to 52. This table includes those men who report in hc032d2 to have received home care for domestic tasks. Women 50-59 60-69 70-79 80+ Total1-9 0 4 4 4 1210-19 0 1 3 0 420-29 0 0 2 1 330-39 0 0 1 2 340-49 0 0 3 0 350-59 2 1 7 7 17Don't know 0 1 0 0 1Total 2 6 21 14 43Remark: The values range from 5 to 52. This table includes those women who report in hc032d2 to have received home care for domestic tasks. HC036: Hours received paid domestic help “On average, how many hours per week did you receive such professional or paid help?” Men 50-59 60-69 70-79 80+ Total1-9 0 1 2 7 920-29 0 0 1 0 150-59 0 1 0 0 1Total 0 2 3 7 11Remark: The values range from 1 to 56. This table includes those men who report in hc032d2 to have received home care for domestic tasks. Women 50-59 60-69 70-79 80+ Total1-9 1 2 13 11 2710-19 1 1 3 2 720-29 0 1 2 1 540-49 0 0 1 0 1100-199 0 0 1 0 1Don't know 0 1 0 0 1Total 2 5 20 14 42Remark: The values range from 2 to 168. This table includes those women who report in hc032d2 to have received home care for domestic tasks. HC037: Weeks received meals-on-wheels “During the last twelve months, how many weeks did you receive meals-on-wheels, because you could not prepare meals due to health problems?” Men 50-59 60-69 70-79 80+ Total1-9 0 0 1 0 120-29 0 0 1 1 240-49 0 0 0 3 350-59 1 2 1 2 6Total 1 2 3 6 12Remark: The values range from 4 to 52. This table includes those men who report in hc032d3 to have received meals-on-wheels. Women 50-59 60-69 70-79 80+ Total1-9 0 1 3 0 520-29 0 0 2 3 540-49 0 0 1 2 350-59 1 0 3 5 9Total 1 1 9 10 22Remark: The values range from 1 to 52. This table includes those women who report in hc032d3 to have received meals-on-wheels.

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HC39d01: Received care type c14 “Which types of care did you receive?” (Surgery) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC39d02: Received care type c2 “Which types of care did you receive?” (Care from a general practitioner) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC39d03: Received care type c3 “Which types of care did you receive?” (Care from a specialist physician) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC39d04: Received care type c4 “Which types of care did you receive?” (Drugs) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC39d05: Received care type c5 “Which types of care did you receive?” (Dental care) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102

4 Question hc038 does not apply for Austria.

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HC39d06: Received care type c6 “Which types of care did you receive?” (Hospital (inpatient) rehabilitation) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC39d07: Received care type c7 “Which types of care did you receive?” (Ambulatory (outpatient) rehabilitation) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC39d08: Received care type c8 “Which types of care did you receive?” (Aids and appliances) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC39d09: Received care type c9 “Which types of care did you receive?” (Care in a nursing home) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC39d10: Received care type c10 “Which types of care did you receive?” (Home care) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC39d11: Received care type c11 “Which types of care did you receive?” (Paid home help) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC39d12: Received other type of care “Which types of care did you receive?” (Any other care not mentioned on this list) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC040: Forgo any types of care because of costs “Please look at card 17. During the last twelve months, did you forgo any types of care because of the costs you would have to pay?” Men 50-59 60-69 70-79 80+ Total Yes 13 6 3 1 23 No 324 247 159 50 780 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 14 7 8 5 34 No 363 298 265 131 1,057 Don't know 0 0 3 0 3 Total 377 305 277 136 1,095 HC041d01: Care type c1 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Surgery) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC041d02: Care type c2 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Care from a general practitioner) Men 50-59 60-69 70-79 80+ Total Not selected 336 253 164 52 806 Selected 1 1 0 0 2 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC041d03: Care type c3 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Care from a specialist physician) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC041d04: Care type c4 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Drugs) Men 50-59 60-69 70-79 80+ TotalNot selected 336 252 163 52 803Selected 1 2 1 0 5Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 375 304 280 136 1,095Selected 3 2 1 0 7Total 378 306 281 136 1,102 HC041d05: Care type c5 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Dental care) Men 50-59 60-69 70-79 80+ TotalNot selected 333 252 163 52 800Selected 5 2 1 0 8Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 373 304 279 136 1,092Selected 6 2 2 0 10Total 378 306 281 136 1,102 HC041d06: Care type c6 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Hospital (inpatient) rehabilitation) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC041d07: Care type c7 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Ambulatory (outpatient) rehabilitation) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 305 281 136 1,101Selected 0 1 0 0 1Total 378 306 281 136 1,102

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HC041d08: Care type c8 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Aids and appliances) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 164 52 807 Selected 1 0 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 304 280 135 1,094 Selected 5 2 1 1 8 Total 378 306 281 136 1,102 HC041d09: Care type c9 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Care in a nursing home) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 135 1,101 Selected 0 0 0 1 1 Total 378 306 281 136 1,102 HC041d10: Care type c10 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Home care) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 163 51 805 Selected 1 0 1 1 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 305 280 134 1,096 Selected 2 1 1 2 6 Total 378 306 281 136 1,102 HC041d11: Care type c11 too costly “Which types of care did you forgo because of the costs you would have to pay?” (Paid home help) Men 50-59 60-69 70-79 80+ Total Not selected 334 254 163 52 803 Selected 4 0 1 0 5 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 304 279 134 1,091 Selected 5 2 2 2 11 Total 378 306 281 136 1,102 HC041d12: Other care type too costly “Which types of care did you forgo because of the costs you would have to pay?” (Any other care not mentioned in the list) Men 50-59 60-69 70-79 80+ Total Not selected 338 252 164 52 806 Selected 0 2 0 0 2 Total 338 254 164 52 808

135

Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 280 136 1,100Selected 1 0 1 0 2Total 378 306 281 136 1,102 HC042: Forgo any types of care because unavailable “Please look at card 17. During the last twelve months, did you forgo any types of care because they were not available or not easily accessible?” Men 50-59 60-69 70-79 80+ TotalYes 4 0 0 0 4No 333 253 162 51 799Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalYes 3 1 3 4 12No 373 305 270 132 1,080Don't know 0 0 3 0 3Total 377 305 277 136 1,095 HC043d01: Care type c1 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Surgery) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC043d02: Care type c2 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Care from a general practitioner) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC043d03: Care type c3 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Care from a specialist physician) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

136

HC043d04: Care type c4 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Drugs) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 305 280 136 1,100 Selected 0 1 1 0 2 Total 378 306 281 136 1,102 HC043d05: Care type c5 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Dental care) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC043d06: Care type c6 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Hospital (inpatient) rehabilitation) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 164 52 807 Selected 1 0 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC043d07:Care type c7 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Ambulatory (outpatient) rehabilitation) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 164 52 807 Selected 1 0 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC043d08: Care type c8 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Aids and appliances) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

137

Women 50-59 60-69 70-79 80+ TotalNot selected 376 306 280 135 1,097Selected 2 0 1 1 5Total 378 306 281 136 1,102 HC043d09: Care type c9 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Care in a nursing home) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC043d10: Care type c10 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Home care) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC043d11: Care type c11 unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Paid home help) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 135 1,101Selected 0 0 0 1 1Total 378 306 281 136 1,102 HC043d12: Other care type unavailable “Which types of care did you forgo because they were not available or not easily accessible?” (Any other car not mentioned on this list) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 305 279 134 1,096Selected 1 1 2 2 6Total 378 306 281 136 1,102

138

Table HC045e: Paid out-of-pocket for inpatient care “Not counting health insurance premiums or reimbursements from employers, about how much did you pay our/of/pocket for all your hospital inpatient care in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0 16 13 18 3 50 1-99 15 7 8 7 36 100-999 9 15 9 8 41 1,000-9,999 1 2 0 0 3 Refusal 0 0 1 0 1 Don't know 5 2 2 2 11 Total 46 38 38 20 142 Remark: This table includes those men who report in hc012 to have been in hosptital during the last twelve months. Women 50-59 60-69 70-79 80+ Total 0 26 14 32 15 87 1-99 25 18 19 10 71 100-999 14 13 19 12 57 1,000-9,999 0 1 1 1 4 Refusal 0 1 0 0 1 Don't know 3 1 10 3 18 Total 68 49 81 40 238 Remark: This table includes those women who report in hc012 to have been in hosptital during the last twelve months.

Table HC047e: Paid out-of-pocket for outpatient care “Not counting health insurance premiums or reimbursements from employers, about how much did you pay out-of-pocket for all your outpatient care, in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0 282 213 146 42 683 1-99 16 21 5 2 45 100-999 28 12 6 4 51 1,000-9,999 1 4 2 0 7 Refusal 0 0 1 0 1 Don't know 9 3 2 2 16 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total 0 330 260 232 111 934 1-99 14 15 17 11 57 100-999 23 19 18 12 73 1,000-9,999 5 7 0 2 14 Refusal 1 0 0 0 1 Don't know 3 4 9 0 16 Total 377 305 277 136 1,095 HC049e: Paid-out-of-pocket for prescribed drugs “Not counting health insurance premiums or reimbursements from employers, about how much did you pay out-of-pocket for all your prescribed drugs, in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0 111 61 45 12 229 0.1-99 141 101 41 15 296 100-999 78 84 70 19 251 1,000-9,999 1 3 1 1 7 Refusal 0 2 2 1 5 Don't know 5 3 4 3 15 Total 336 253 162 51 803

139

Women 50-59 60-69 70-79 80+ Total0 90 77 79 40 2870.1-99 168 105 68 25 366100-999 99 105 111 63 3781,000-9,999 4 5 3 4 17Refusal 2 2 1 2 7Don't know 13 11 15 1 40Total 377 305 277 136 1,095 HC051e: Paid out-of-pocket for nursing home, day-care and home-care “Not counting health insurance premiums, about how much did you pay out-of-pocket for all your care in nursing homes, in day-care centers, and for all home care services in the last twelve months?” Men 50-59 60-69 70-79 80+ Total0 2 3 7 8 201-99 0 0 0 1 1100-999 0 1 0 5 61,000-9,999 0 1 2 1 410,000-99,999 0 1 1 0 2Refusal 0 0 2 0 2Don't know 0 0 0 1 1Total 2 5 12 16 36Remark: This table includes those men who report in hc029 to have been temporarily or permanentely in a nursing home or who report in hc032d1 to have received professional or paid nursing care, or who report in hc032d2 to have received professional or paid home help or who report in hc032d3 to have received meals-on-wheels. Women 50-59 60-69 70-79 80+ Total0 2 6 26 19 531-99 0 0 0 2 2100-999 0 2 4 7 141,000-9,999 0 0 4 6 1110,000-99,999 0 0 1 0 1Refusal 0 1 1 1 3Don't know 0 1 0 3 5Total 2 11 37 38 88Remark: This table includes those women who report in hc029 to have been temporarily or permanentely in a nursing home or who report in hc032d1 to have received professional or paid nursing care, or who report in hc032d2 to have received professional or paid home help or who report in hc032d3 to have received meals-on-wheels. HC057: Basic health insurance coverage5 “Are you covered by the National Health Insurance System?” Men 50-59 60-69 70-79 80+ TotalYes 331 250 157 51 790No 5 3 5 0 13Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalYes 368 298 266 132 1,064No 9 8 8 4 29Don't know 0 0 2 0 2Total 377 305 277 136 1,095 HC058: Basic health insurance status “Is your coverage by the National Health Insurance System statutory or is it your own choice?” Men 50-59 60-69 70-79 80+ TotalStatutory 331 250 157 51 790Total 331 250 157 51 790Remark: This table includes those men who report in hc057 to be covered by the National Health Insurance System.

5 Variables hc053, hc054, hc055 and hc056 do not apply for Austria.

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Women 50-59 60-69 70-79 80+ Total Statutory 368 298 266 132 1,064 Total 368 298 266 132 1,064 Remark: This table includes those women who report in hc057 to be covered by the National Health Insurance System.

HC059d01: Voluntary health insurance care type c1 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Medical care with direct access to specialists) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 306 281 136 1,100 Selected 2 0 0 0 2 Total 378 306 281 136 1,102 HC059d02: Voluntary health insurance care type c2 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Medical care with access to specialists) Men 50-59 60-69 70-79 80+ Total Not selected 336 253 164 52 806 Selected 1 1 0 0 2 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 306 281 136 1,100 Selected 2 0 0 0 2 Total 378 306 281 136 1,102 HC059d03: Voluntary health insurance care type c3 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Medical care with unrestricted choice of doctors) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 306 281 136 1,101 Selected 1 0 0 0 1 Total 378 306 281 136 1,102 HC059d04: Voluntary health insurance care type c4 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Medical care with limited choice of doctors) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102

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HC059d05: Voluntary health insurance care type c5 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Dental care) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 281 136 1,101Selected 1 0 0 0 1Total 378 306 281 136 1,102 HC059d06: Voluntary health insurance care type c6 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Full coverage of drugs expenses) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 306 281 136 1,100Selected 2 0 0 0 2Total 378 306 281 136 1,102 HC059d07: Voluntary health insurance care type c7 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Partial coverage of drugs expenses) Men 50-59 60-69 70-79 80+ TotalNot selected 338 253 164 52 807Selected 0 1 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC059d08: Voluntary health insurance care type c8 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Hospital care with unrestricted choice of hospitals and clinics) Men 50-59 60-69 70-79 80+ TotalNot selected 336 253 164 52 806Selected 1 1 0 0 2Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 305 280 136 1,098Selected 2 1 1 0 4Total 378 306 281 136 1,102 HC059d09: Voluntary health insurance care type c9 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Hospital care with limited choice of hospitals and clinics) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC059d10: Voluntary health insurance care type c10 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Long term care in nursing home) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC059d11: Voluntary health insurance care type c11 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Nursing care at home in case of chronic disease or disability) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 306 281 136 1,101 Selected 1 0 0 0 1 Total 378 306 281 136 1,102 HC059d12: Voluntary health insurance care type c12 “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Home help) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 135 1,101 Selected 0 0 0 1 1 Total 378 306 281 136 1,102 HC059d13: Voluntary health insurance other care type “Please look at card 19. Do you have any voluntary health insurance contract for at least one of the following types of care?” (Other care type) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 306 280 136 1,099 Selected 2 0 1 0 3 Total 378 306 281 136 1,102

143

HC060d01: Voluntary supplementary health insurance care type c1 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (Medical care with direct access to specialists) Men 50-59 60-69 70-79 80+ TotalNot selected 323 246 159 52 780Selected 15 8 5 0 28Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 366 298 275 136 1,076Selected 12 8 6 0 26Total 378 306 281 136 1,102 HC060d02: Voluntary supplementary health insurance care type c2 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (Medical care with an extended choice of doctors) Men 50-59 60-69 70-79 80+ TotalNot selected 323 244 160 52 779Selected 15 10 4 0 29Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 372 301 277 135 1,084Selected 7 5 5 1 18Total 378 306 281 136 1,102 HC060d03: Voluntary supplementary health insurance care type c3 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (Dental care) Men 50-59 60-69 70-79 80+ TotalNot selected 326 250 163 52 792Selected 11 4 1 0 16Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 298 280 136 1,089Selected 5 8 1 0 13Total 378 306 281 136 1,102 HC060d04: Voluntary supplementary health insurance care type 4 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (A larger choice of drugs and/or full drugs expenses (no participation)) Men 50-59 60-69 70-79 80+ TotalNot selected 329 248 161 52 791Selected 9 5 3 0 17Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 301 280 136 1,089Selected 7 5 1 0 13Total 378 306 281 136 1,102

144

HC060d05: Voluntary supplementary health insurance care type c5 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (An extended choice of hospitals and clinics for hospital care) Men 50-59 60-69 70-79 80+ Total Not selected 265 207 140 47 658 Selected 73 47 24 6 150 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 322 252 249 117 940 Selected 57 54 32 20 162 Total 378 306 281 136 1,102 HC060d06: Voluntary supplementary health insurance care type c6 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” ((Extended) Long term care in a nursing home) Men 50-59 60-69 70-79 80+ Total Not selected 335 252 162 52 801 Selected 3 2 2 0 7 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 303 280 136 1,096 Selected 2 3 1 0 6 Total 378 306 281 136 1,102 HC060d07: Voluntary supplementary health insurance care type c7 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” ((Extended) Nursing care at home in case of chronic disease or disability) Men 50-59 60-69 70-79 80+ Total Not selected 333 253 162 52 800 Selected 5 1 2 0 8 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 303 279 136 1,094 Selected 2 3 2 0 8 Total 378 306 281 136 1,102 HC060d08: Voluntary supplementary health insurance care type c8 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” ((Extended) Home help for activities of daily living (household, etc.)) Men 50-59 60-69 70-79 80+ Total Not selected 333 254 162 52 801 Selected 5 0 2 0 7 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 303 279 136 1,096 Selected 1 3 2 0 6 Total 378 306 281 136 1,102

145

HC060d09: Voluntary supplementary health insurance care type c9 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (Full coverage of costs for doctor visits (no participation)) Men 50-59 60-69 70-79 80+ TotalNot selected 328 247 161 52 789Selected 10 6 3 0 19Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 370 300 279 134 1,084Selected 8 6 2 2 18Total 378 306 281 136 1,102 HC060d10: Voluntary supplementary health insurance care type c10 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (Full coverage of costs for hospital care (no participation)) Men 50-59 60-69 70-79 80+ TotalNot selected 319 237 152 50 759Selected 18 17 12 2 49Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 354 284 254 132 1,024Selected 24 22 27 4 78Total 378 306 281 136 1,102 HC060d11: Voluntary supplementary health insurance care type c11 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC060d12: Voluntary supplementary health insurance care type c12 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

146

HC060d13: Voluntary supplementary health insurance care type c13 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC060d14: Voluntary supplementary health insurance care type c14 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC060d15: Voluntary supplementary health insurance care type c15 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC060d16: Voluntary supplementary health insurance care type c16 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 HC060d17: Voluntary supplementary health insurance care type c17 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

147

Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC060d18: Voluntary supplementary health insurance care type c18 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC060d19: Voluntary supplementary health insurance care type c19 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC060d20: Voluntary supplementary health insurance care type c20 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 HC060d21: Voluntary supplementary health insurance care type c21 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

148

HC060d22: Voluntary supplementary health insurance care type c22 “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102

HC060d23: Voluntary supplementary health insurance other care type “Please look at card 20. Do you have any voluntary, supplementary or private health insurance for at least one of the following types of care in order to complement the coverage offered by the National Health System?” (Any other type of voluntary health insurance) Men 50-59 60-69 70-79 80+ Total Not selected 324 251 160 51 787 Selected 13 3 4 1 21 Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ Total Not selected 368 297 267 135 1,068 Selected 10 9 14 1 34 Total 378 306 281 136 1,102 HC061e: Pay for all voluntary health insurance contracts “How much do you pay each year for all your voluntary, supplementary or private health insurance contracts?” Men 50-59 60-69 70-79 80+ Total 0-99 10 8 5 0 23 100-999 48 25 15 5 93 1,000-9,999 26 25 12 3 66 Refusal 0 0 1 0 1 Don't know 9 2 2 0 13 Total 93 60 34 9 196 Remark: This table includes those men who report in hc059d01 to hc059d13 to have some kind of voluntary health insurance, or who report in hc060d01 to hc060d23 to have some kind of voluntary, supplementary or private health insurance.

Women 50-59 60-69 70-79 80+ Total 0-99 7 11 15 3 35 100-999 47 33 19 8 108 1,000-9,999 24 23 26 11 84 Refusal 2 0 0 1 3 Don't know 7 7 6 2 22 Total 88 74 66 25 253 Remark: This table includes those women who report in hc059d01 to hc059d13 to have some kind of voluntary health insurance, or who report in hc060d01 to hc060d23 to have some kind of voluntary, supplementary or private health insurance. HC063: Who answered the questions in hc Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ Total Respondent only 330 242 155 45 772 Respondent and proxy 6 8 6 6 26 Proxy only 0 3 1 1 5 Total 336 253 162 51 803

Women 50-59 60-69 70-79 80+ Total Respondent only 368 304 266 120 1,059 Respondent and proxy 5 2 7 9 22 Proxy only 3 0 3 8 15 Total 377 305 277 136 1,095

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3.8 Employment (EP) The questions in the employment module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table EP005: Current job situation “Please look at card 21. In general, how would you describe your current situation?” Men 50-59 60-69 70-79 80+ TotalRetired 69 234 160 51 515Employed or self-employed (including working for family business)

214 12 0 0 226

Unemployed 26 2 0 0 27Permanently sick or disabled 13 4 1 0 17Homemaker 3 1 1 0 4Other (specify) 13 1 0 0 14Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalRetired 117 238 208 110 673Employed or self-employed (including working for family business)

140 8 1 0 150

Unemployed 23 1 0 0 24Permanently sick or disabled 10 0 0 1 12Homemaker 74 56 63 24 217Other (specify) 11 2 5 1 19Total 377 305 277 136 1,095 Table EP002: Did nevertheless any paid work last four weeks “Did you do nevertheless any paid work during the last four weeks, either as an employee or self-employed, even if this was only for a few hours?” Men 50-59 60-69 70-79 80+ TotalYes 16 8 4 0 27No 115 250 169 55 589Total 131 258 173 55 616Remark: This table includes those men who report in ep005 not to be employed or self-employed. Women 50-59 60-69 70-79 80+ TotalYes 21 12 2 0 36No 219 290 278 139 926Total 240 302 281 139 962Remark: This table includes those women who report in ep005 not to be employed or self-employed. Table EP003: Temporarily away from work “Are you temporarily away from any work, including seasonal work?” Men 50-59 60-69 70-79 80+ TotalYes 8 12 4 1 25No 108 239 165 54 566Total 116 251 169 55 591Remark: This table includes those men who report in ep002 not to have done any paid work the last four weeks. Women 50-59 60-69 70-79 80+ TotalYes 19 9 14 2 44No 201 281 264 137 882Total 219 290 278 139 926Remark: This table includes those women who report in ep002 not to have done any paid work the last four weeks.

150

Table EP006: Ever done paid work “Have you ever done any paid work?” Men 50-59 60-69 70-79 80+ Total Yes 15 4 2 0 21 No 1 0 0 0 1 Total 16 4 2 0 22 Remark: This table includes those men who report in ep003 not to have done any paid work the last four weeks and who report in ep005 to be permanently sick or disabled, a homemaker or to have another current job. Women 50-59 60-69 70-79 80+ Total Yes 53 19 23 6 101 No 27 36 42 19 124 Total 80 55 64 26 225 Remark: This table includes those women who report in ep003 not to have done any paid work the last four weeks and who report in ep005 to be permanently sick or disabled, a homemaker or to have another current job. Table EP007: Currently more than one job “Do you currently have more than one job?” Men 50-59 60-69 70-79 80+ Total Yes 21 1 0 0 22 No 183 24 7 1 215 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Yes 9 1 0 0 9 No 157 27 16 2 202 Total 166 27 16 2 211 Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP009_1: Employee or a self-employed in (main) job “In your main job are you an employee, a civil servant, or a self-employed?” Men 50-59 60-69 70-79 80+ Total Employee 132 17 5 0 154 Civil servant 34 4 1 1 40 Self-employed 36 5 1 0 42 Refusal 1 0 0 0 1 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Employee 127 15 11 2 155 Civil servant 15 1 1 0 17 Self-employed 22 12 4 0 38 Refusal 1 0 0 0 1 Total 166 27 16 2 211 Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

151

Table EP010_1: Start of current (main) job (year) “In which year did you start your main job?” Men 50-59 60-69 70-79 80+ Total1930-1939 0 0 0 1 11940-1949 0 1 3 0 41950-1959 5 4 2 0 111960-1969 62 10 1 0 731970-1979 61 2 0 0 631980-1989 34 4 0 0 381990-1999 26 3 1 0 292000 and later 13 2 0 0 15Don't know 2 0 0 0 2Total 203 26 7 1 237Remark: The values range from 1930 to 2004. This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total1940-1949 0 1 4 0 51950-1959 1 4 3 0 81960-1969 26 6 2 1 351970-1979 34 3 3 0 401980-1989 34 5 1 0 401990-1999 43 7 2 0 522000 and later 25 3 0 0 28Refusal 1 0 0 0 1Don't know 1 0 0 1 2Total 166 27 16 2 211Remark: The values range from 1943 to 2004. This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP011_1: Term of (main) job “In this job, do you have a short-term or a permanent contract?” Men 50-59 60-69 70-79 80+ TotalShort-term 8 1 1 0 9Permanent 158 20 5 1 185Total 166 21 6 1 194Remark: This table includes those men who report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ TotalShort-term 8 1 2 0 11Permanent 131 14 9 1 156Don't know 0 0 0 1 1Total 140 15 11 2 168Remark: This table includes those women who report in ep009 to be an employee or a civil servant. Table EP012_1: Total contracted hours per week (main) job “What are your total basic or contracted hours each week in this job, excluding meal breaks and any paid or unpaid overtime?” Men 50-59 60-69 70-79 80+ Total0-9 1 1 0 0 220-29 5 1 1 0 830-39 80 6 0 0 8640-49 76 11 4 1 9250-59 1 1 0 0 260-69 0 1 1 0 270-79 1 0 0 0 1160-169 1 0 0 0 1Don't know 1 0 0 0 1Total 166 21 6 1 194Remark: The values range from 0 to 168. Unplausible values have to be excluded for specific analyses. This table includes those men who report in ep009 to be an employee or a civil servant.

152

Women 50-59 60-69 70-79 80+ Total 0-9 6 3 1 0 11 10-19 12 1 0 0 13 20-29 32 4 0 1 37 30-39 40 3 0 0 42 40-49 47 3 10 0 60 Refusal 1 0 0 0 1 Don't know 2 1 0 1 4 Total 140 15 11 2 168 Remark: The values range from 0 to 48. This table includes those women who report in ep009 to be an employee or a civil servant. Table EP013_1: Total hours worked per week (main) job “Regardless of your basic contracted hours, how many hours a week do you usually work in this job, excluding meal breaks but including any paid or unpaid overtime?” Men 50-59 60-69 70-79 80+ Total 0-9 4 3 0 0 7 10-19 1 0 1 0 2 20-29 5 2 0 0 7 30-39 28 3 1 0 32 40-49 100 11 2 1 113 50-59 35 4 3 0 42 60-69 17 2 0 0 19 70-79 4 0 1 0 5 80-89 2 1 0 0 3 90-99 1 0 0 0 1 100-109 1 1 0 0 2 Don't know 4 0 0 0 4 Total 203 26 7 1 237 Remark: The values range from 0 to 100. This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total 0-9 12 7 2 0 21 10-19 11 3 1 0 15 20-29 24 4 2 0 30 30-39 40 4 0 1 46 40-49 57 3 9 0 69 50-59 7 3 0 0 10 60-69 10 1 0 0 10 70-79 1 0 0 0 1 80-89 0 1 0 0 1 100-109 1 0 0 0 1 160-169 0 1 0 0 1 Refusal 1 0 1 0 2 Don't know 2 1 0 1 5 Total 166 27 16 2 211 Remark: The values range from 0 to 168. Unplausible values have to be excluded for specific analyses. This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

153

Table EP014_1: Months worked in (main) job (number) “How many months a year are you normally working in this job (including paid holidays)?” Men 50-59 60-69 70-79 80+ Total6 1 0 0 0 18 0 0 1 0 19 1 0 0 0 110 2 1 0 0 311 1 1 0 0 212 196 24 6 1 227Don't know 2 0 0 0 2Total 203 26 7 1 237Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total1 0 0 1 0 12 1 0 0 0 15 0 1 0 0 16 1 2 1 0 48 3 1 0 0 49 1 0 0 0 110 1 1 0 0 211 0 1 0 0 112 156 21 13 1 191Refusal 1 0 1 0 2Don't know 1 1 0 1 3Total 166 27 16 2 211Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP019_1: Employed in the public sector, (main) job “In this job are you employed in the public sector?” Men 50-59 60-69 70-79 80+ TotalYes 29 0 2 0 31No 103 17 3 0 123Total 132 17 5 0 154Remark: This table includes those men who report in ep009 to be an employee. Women 50-59 60-69 70-79 80+ TotalYes 40 3 2 0 45No 85 12 8 2 107Total 125 14 10 2 152Remark: This table includes those women who report in ep009 to be an employee. Table EP020_1: Number of people employed at firm, (main) job “About how many people (including yourself) are employed at the place where you usually work?” Men 50-59 60-69 70-79 80+ Total1 to 5 22 6 0 0 286 to 15 22 3 0 0 2516 to 24 17 1 2 0 2025 to 199 65 6 2 0 72200 to 499 18 3 0 0 21500 or more 22 1 3 1 27Total 166 21 6 1 194Remark: This table includes those men who report in ep009 to be an employee or a civil servant.

154

Women 50-59 60-69 70-79 80+ Total 1 to 5 32 5 2 1 39 6 to 15 41 4 3 0 48 16 to 24 18 3 1 0 22 25 to 199 34 1 3 0 38 200 to 499 5 1 2 0 8 500 or more 8 1 0 0 9 Don't know 2 0 0 1 3 Total 140 15 11 2 168 Remark: This table includes those women who report in ep009 to be an employee or a civil servant. Table EP021_1: Responsibility for supervising other employees, (main) job “In your main job, do you have any responsibility for supervising the work of other employees?” Men 50-59 60-69 70-79 80+ Total Yes 78 14 2 1 95 No 88 7 4 0 99 Total 166 21 6 1 194 Remark: This table includes those men who report in ep009 to be an employee or civil servant. Women 50-59 60-69 70-79 80+ Total Yes 27 3 2 1 33 No 112 12 9 1 135 Total 140 15 11 2 168 Remark: This table includes those women who report in ep009 to be an employee or a civil servant. Table EP022_1: Number of people responsible for in (main) job “About how many people are you responsible for in this job?” Men 50-59 60-69 70-79 80+ Total 1 to 5 32 6 0 0 38 6 to 15 19 4 1 0 24 16 to 24 12 0 0 1 13 25 to 199 16 1 1 0 18 200 to 499 0 2 0 0 2 500 or more 0 1 0 0 1 Total 80 15 2 1 97 Remark: This table includes those men who report in ep021_1 to be responsible for supervising other employees. Women 50-59 60-69 70-79 80+ Total 1 to 5 17 3 1 1 22 6 to 15 4 0 1 0 5 16 to 24 5 0 0 0 5 25 to 199 1 0 0 0 1 Total 27 3 2 1 33 Remark: This table includes those women who report in ep021_1 to be responsible for supervising other employees. Table EP024_1: Number of employees in (main) job “How many employees, if any, do you have in your main job?” Men 50-59 60-69 70-79 80+ Total None 15 2 0 0 17 1 to 5 13 3 1 0 17 6 to 15 1 0 0 0 1 16 to 24 3 0 0 0 3 25 to 199 3 0 0 0 3 200 to 499 1 0 0 0 1 Total 36 5 1 0 42 Remark: This table includes those men who report in ep009 to be self-employed.

155

Women 50-59 60-69 70-79 80+ TotalNone 12 8 5 0 241 to 5 11 2 0 0 146 to 15 0 1 0 0 116 to 24 1 0 0 0 125 to 199 0 1 0 0 1500 or more 0 1 0 0 1Don't know 0 1 0 0 1Total 24 13 5 0 42Remark: This table includes those women who report in ep009 to be self-employed. Table EP026: Satisfied with (main) job “All things considered I am satisfied with my job. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ TotalStrongly agree 92 17 3 1 113Agree 95 9 2 0 105Disagree 14 0 1 0 15Strongly disagree 3 0 1 0 4Total 203 26 7 1 237Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ TotalStrongly agree 78 12 6 0 97Agree 74 15 7 1 98Disagree 10 0 0 0 10Strongly disagree 3 0 1 0 4Refusal 0 0 1 0 1Don't know 0 0 0 1 1Total 166 27 16 2 211Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP027: (Main) job physically demanding “My job is physically demanding. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ TotalStrongly agree 54 5 2 0 61Agree 62 8 2 1 73Disagree 61 10 2 0 73Strongly disagree 26 3 2 0 30Total 203 26 7 1 237Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ TotalStrongly agree 32 6 3 0 41Agree 50 11 5 1 67Disagree 51 8 5 0 64Strongly disagree 32 4 1 0 37Refusal 0 0 1 0 1Don't know 0 0 0 1 1Total 166 27 16 2 211Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

156

Table EP028: Time pressure due to a heavy workload in (main) job “I am under constant time pressure due to a heavy workload. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ Total Strongly agree 60 6 2 0 68 Agree 84 8 3 1 95 Disagree 53 10 2 0 64 Strongly disagree 8 1 1 0 10 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Strongly agree 29 4 2 1 36 Agree 60 8 6 0 74 Disagree 63 11 4 0 78 Strongly disagree 14 5 2 0 21 Refusal 0 0 1 0 1 Don't know 0 0 0 1 1 Total 166 27 16 2 211 Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP029: Little freedom to decide how I do my work in (main) job “I have very little freedom to decide how I do my work. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ Total Strongly agree 31 3 1 0 35 Agree 42 7 2 1 52 Disagree 83 10 3 0 96 Strongly disagree 47 6 2 0 55 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Strongly agree 26 4 2 0 33 Agree 38 6 4 1 48 Disagree 59 9 4 0 72 Strongly disagree 42 8 4 0 55 Refusal 0 0 1 0 1 Don't know 0 0 0 1 1 Total 165 27 16 2 210 Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP030: Opportunity to develop new skills in (main) job “I have an opportunity to develop new skills. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ Total Strongly agree 57 8 0 0 65 Agree 90 12 2 1 104 Disagree 34 5 4 0 43 Strongly disagree 23 1 1 0 25 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

157

Women 50-59 60-69 70-79 80+ TotalStrongly agree 47 6 5 1 59Agree 57 6 6 0 69Disagree 39 11 2 0 52Strongly disagree 21 6 2 0 29Don't know 0 0 0 1 1Total 165 27 16 2 210Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP031: Receive support in difficult situations in (main) job “I receive adequate support in difficult situations. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ TotalStrongly agree 44 6 2 0 52Agree 96 12 3 1 113Disagree 42 5 0 0 48Strongly disagree 21 2 2 0 24Total 203 26 7 1 237Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ TotalStrongly agree 43 6 5 0 54Agree 80 14 4 1 99Disagree 29 4 2 0 34Strongly disagree 14 4 4 0 22Don't know 0 0 0 1 1Total 165 27 16 2 210Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP032: Receive recognition for my work in (main) job “I receive the recognition I deserve for my work. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ TotalStrongly agree 35 7 2 0 44Agree 100 15 3 1 119Disagree 53 3 1 0 57Strongly disagree 15 0 2 0 17Don't know 0 1 0 0 1Total 203 26 7 1 237Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ TotalStrongly agree 45 8 2 1 57Agree 84 13 7 0 105Disagree 27 4 3 0 34Strongly disagree 9 2 3 0 14Don't know 0 0 0 1 1Total 165 27 16 2 210Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

158

Table EP033: Salary or earnings are adequate in (main) job “Considering all my efforts and achievements, my salary is/earnings are adequate. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ Total Strongly agree 29 3 2 0 34 Agree 97 16 3 1 116 Disagree 60 5 1 0 66 Strongly disagree 17 1 2 0 20 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Strongly agree 28 4 1 0 33 Agree 74 14 4 0 92 Disagree 46 6 7 0 59 Strongly disagree 17 4 3 1 26 Don't know 0 0 0 1 1 Total 165 27 16 2 210 Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP034: Poor prospects for (main) job advancement “My job promotion prospects/prospects for job advancement are poor. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ Total Strongly agree 48 3 1 0 53 Agree 71 11 2 1 84 Disagree 60 9 2 0 71 Strongly disagree 25 2 2 0 29 Refusal 0 0 1 0 1 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Strongly agree 52 8 2 0 62 Agree 62 7 6 1 76 Disagree 32 6 3 0 41 Strongly disagree 19 6 3 0 29 Refusal 0 0 1 0 1 Don't know 0 0 0 1 1 Total 165 27 16 2 210 Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP035: Poor (main) job security “My job security is poor. Would you say you strongly agree, agree, disagree or strongly disagree?” Men 50-59 60-69 70-79 80+ Total Strongly agree 18 3 1 0 23 Agree 36 3 1 0 40 Disagree 94 12 3 1 109 Strongly disagree 56 7 2 0 65 Total 203 26 7 1 237 Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

159

Women 50-59 60-69 70-79 80+ TotalStrongly agree 10 0 0 0 10Agree 18 1 3 0 22Disagree 67 15 6 0 88Strongly disagree 69 12 5 2 89Don't know 0 0 1 0 1Total 165 27 16 2 210Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP036: Look for early retirement in (main) job “Thinking about your present main job, would you like to retire as early as you can from this job?” Men 50-59 60-69 70-79 80+ TotalYes 109 3 0 0 112No 82 8 0 0 89Don't know 0 1 0 0 1Total 191 11 0 0 202Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep005 not to be retired. Women 50-59 60-69 70-79 80+ TotalYes 71 2 0 0 73No 69 7 3 0 80Total 140 9 3 0 153Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep005 not to be retired. Table EP037: Afraid health limits ability to work before regular retirement in (main) job “Are you afraid that your health will limit your ability to work in this job before regular retirement?” Men 50-59 60-69 70-79 80+ TotalYes 57 1 0 0 58No 134 10 0 0 144Don't know 0 1 0 0 1Total 191 11 0 0 202Remark: This table includes those men who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep005 not to be retired. Women 50-59 60-69 70-79 80+ TotalYes 36 2 0 0 38No 103 7 3 0 114Don't know 1 0 0 0 1Total 140 9 3 0 153Remark: This table includes those women who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep005 not to be retired. Table EP038_1: Frequency of payment in (main) job “Now I’d like to ask some questions about your income from your main job. How often do you get paid?” Men 50-59 60-69 70-79 80+ TotalEvery week 1 1 0 0 2Every two weeks 1 0 0 0 1Every calender month/4 weeks 164 19 5 1 189Every three months/13 weeks 0 0 1 0 1Other frequency (specify) 0 1 0 0 1Total 166 21 6 1 194Remark: This table includes those men who report in ep009 to be an employee or a civil servant.

160

Women 50-59 60-69 70-79 80+ Total Every week 2 1 0 0 3 Every calender month/4 weeks 136 14 10 2 163 Other frequency (specify) 0 0 1 0 1 Total 139 15 11 2 167 Remark: This table includes those women who report in ep009 to be an employee or a civil servant. Table EP041e1: Taken home from work before tax, (main) job “Before any deductions for tax, national insurance or pension and health contributions, union dues and so on, about how much was the last payment?” Men 50-59 60-69 70-79 80+ Total 0-999 8 3 1 0 12 1,000-1,999 41 6 1 0 48 2,000-2,999 45 1 0 1 47 3,000-3,999 22 1 1 0 23 4,000-4,999 5 1 1 0 7 5,000-5,999 3 1 0 0 4 6,000-6,999 2 1 0 0 3 10,000-99,999 3 1 0 0 5 Refusal 23 4 2 0 29 Don't know 14 2 1 0 17 Total 166 21 6 1 194 Remark: This table includes those men who report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total 0-999 38 10 4 2 54 1,000-1,999 48 2 2 0 52 2,000-2,999 14 1 2 0 16 3,000-3,999 12 0 0 0 12 5,000-5,999 2 0 0 0 2 10,000-99,999 2 0 0 0 2 100,000-999,999 1 0 0 0 1 Refusal 13 1 1 0 15 Don't know 9 1 2 0 12 Total 139 15 11 2 167 Remark: This table includes those women who report in ep009 to be an employee or a civil servant. Table EP214_1: Amount includes additional payments (main) job “Did this amount include any additional payments or bonus?” Men 50-59 60-69 70-79 80+ Total Yes 50 7 2 0 59 No 113 12 4 1 130 Refusal 2 1 0 0 4 Don't know 1 0 0 0 1 Total 166 21 6 1 194 Remark: This table includes those men who report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total Yes 28 1 3 0 33 No 108 14 8 2 132 Refusal 1 0 0 0 1 Don't know 1 0 0 0 1 Total 139 15 11 2 167 Remark: This table includes those women who report in ep009 to be an employee or a civil servant.

161

Table EP201e1: Taken home from work after tax, (main) job “And about how much was your last payment after all deductions for tax, national insurance or pension and health contributions, union dues and so on?” Men 50-59 60-69 70-79 80+ Total0-999 14 5 2 0 211,000-1,999 81 6 1 1 892,000-2,999 30 1 2 0 323,000-3,999 4 1 0 0 64,000-4,999 0 1 0 0 15,000-5,999 1 1 0 0 2100,000-999,999 0 1 0 0 1Refusal 24 4 2 0 30Don't know 11 1 0 0 12Total 166 21 6 1 194Remark: This table includes those men who report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total0-999 54 12 5 2 721,000-1,999 52 2 3 0 572,000-2,999 9 0 0 0 93,000-3,999 2 0 0 0 28,000-8,999 1 0 0 0 110,000-99,999 2 0 0 0 2Refusal 11 1 1 0 12Don't know 7 1 2 0 10Total 139 15 11 2 167Remark: This table includes those women who report in ep009 to be an employee or a civil servant. Table EP045e1: Total amount of profits at the end of the year, (main) job “Now I’d like to ask about your income from your business, that is after paying for any materials, equipment or goods that you use in your work. On average what was your monthly income before taxes from your business over the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-999 6 1 0 0 81,000-9,999 11 2 0 0 1310,000-99,999 0 0 1 0 1100,000,000-999,999,999 1 0 0 0 1Refusal 9 1 0 0 11Don't know 9 0 0 0 9Total 36 5 1 0 42Remark: This table includes those men who report in ep009 to be self-employed. Unplausible values have to be excluded for specific analyses. Women 50-59 60-69 70-79 80+ Total0-999 11 5 2 0 181,000-9,999 4 4 0 0 710,000-99,999 1 0 0 0 1Refusal 4 2 2 0 7Don't know 5 3 0 0 8Total 24 13 5 0 42Remark: This table includes those women who report in ep009 to be self-employed.

162

Table EP009_2: Employee or a self-employed in secondary job “In your secondary job are you an employee, a civil servant, or a self-employed?” Men 50-59 60-69 70-79 80+ Total Employee 6 0 0 0 6 Civil servant 2 0 0 0 2 Self-employed 8 1 0 0 9 Refusal 2 1 0 0 3 Don't know 1 0 0 0 1 Total 20 1 0 0 21 Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total Employee 2 1 0 0 3 Self-employed 5 0 0 0 5 Don't know 1 0 0 0 1 Total 8 1 0 0 9 Remark: The values range from 1968 to 2004. This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP010_2: Start of current secondary job (year) “In which year did you start your secondary job?” Men 50-59 60-69 70-79 80+ Total 1960-1969 1 0 0 0 1 1970-1979 4 0 0 0 4 1980-1989 3 0 0 0 3 1990-1999 3 1 0 0 4 2000 and later 6 1 0 0 7 Refusal 2 0 0 0 2 Total 20 1 0 0 21 Remark: The values range from 1962 to 2004. This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total 1960-1969 1 0 0 0 1 1970-1979 1 0 0 0 1 1980-1989 1 0 0 0 1 1990-1999 0 1 0 0 1 2000 and later 4 0 0 0 4 Don't know 1 0 0 0 1 Total 8 1 0 0 9 Remark: The values range from 1968 to 2004. This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP011_2: Term of secondary job “In this job, do you have a short-term or a permanent contract?” Men 50-59 60-69 70-79 80+ Total Short-term 1 0 0 0 1 Permanent 7 0 0 0 7 Total 8 0 0 0 8 Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total Permanent 2 1 0 0 3 Total 2 1 0 0 3 Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant.

163

Table EP012_2: Total contracted hours per week secondary job “What are your total basic or contracted hours each week in this job, excluding meal breaks and any paid or unpaid overtime?” Men 50-59 60-69 70-79 80+ Total0-9 3 0 0 0 310-19 1 0 0 0 130-39 1 0 0 0 140-49 2 0 0 0 2Don't know 1 0 0 0 1Total 8 0 0 0 8Remark: The values range from 0 to 40. This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total10 0 1 0 0 120 2 0 0 0 2Total 2 1 0 0 3Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Table EP013_2: Total hours worked per week secondary job “Regardless of your basic contracted hours, how many hours a week do you usually work in this job, excluding meal breaks but including any paid or unpaid overtime?” Men 50-59 60-69 70-79 80+ Total0-9 5 0 0 0 510-19 5 0 0 0 520-29 3 1 0 0 430-39 2 0 0 0 240-49 1 0 0 0 160-69 1 0 0 0 1Refusal 2 1 0 0 3Total 20 1 0 0 21Remark: The values range from 2 to 60. This table includes those men with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total10-19 2 1 0 0 320-29 3 0 0 0 330-39 1 0 0 0 1120-129 1 0 0 0 1Don't know 1 0 0 0 1Total 8 1 0 0 9Remark: The values range from 10 to 120. This table includes those women with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP014_2: Months worked in secondary job (number) “How many months a year are you normally working in this job?” Men 50-59 60-69 70-79 80+ Total1 1 0 0 0 16 2 0 0 0 210 1 0 0 0 112 13 1 0 0 14Refusal 2 1 0 0 3Total 20 1 0 0 21Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed.

164

Women 50-59 60-69 70-79 80+ Total 10 2 0 0 0 2 12 5 1 0 0 6 Don't know 1 0 0 0 1 Total 8 1 0 0 9 Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Table EP019_2: Employed in the public sector, secondary job “In this job you are employed in the public sector?” Men 50-59 60-69 70-79 80+ Total Yes 1 0 0 0 1 No 5 0 0 0 5 Total 6 0 0 0 6 Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee. Women 50-59 60-69 70-79 80+ Total Yes 2 0 0 0 2 No 0 1 0 0 1 Total 2 1 0 0 3 Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee. Table EP020_2: Number of people employed at firm, secondary job “About how many people (including yourself) are employed at the place where you usually work?” Men 50-59 60-69 70-79 80+ Total 1 to 5 3 0 0 0 3 6 to 15 2 0 0 0 2 16 to 24 1 0 0 0 1 25 to 199 1 0 0 0 1 500 or more 1 0 0 0 1 Total 8 0 0 0 8 Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total 1 to 5 1 0 0 0 1 16 to 24 0 1 0 0 1 25 to 199 1 0 0 0 1 Total 2 1 0 0 3 Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Table EP021_2: Responsibility for supervising other employees, secondary job “In your secondary job, do you have any responsibility for supervising the work of other employees?” Men 50-59 60-69 70-79 80+ Total Yes 1 0 0 0 1 No 7 0 0 0 7 Total 8 0 0 0 8 Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or civil servant.

165

Women 50-59 60-69 70-79 80+ TotalNo 2 1 0 0 3Total 2 1 0 0 3Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Table EP022_2: Number of people responsible for in secondary job6 “About how many people are you responsible for in this job?” Men 50-59 60-69 70-79 80+ Total25 to 199 1 0 0 0 1Total 1 0 0 0 1Remark: This table includes this man with a seconary job who reports in ep002 to have done paid work during the last four weeks, or who reports in ep003 to be temporarily away from work or who reports in ep005 to be employed or self-employed. Furthermore he reports in ep009 to be an employee or civil servant and reports in ep021_2 to be responsible for supervising other employees. Table EP024_2: Number of employees in secondary job “How many employees, if any, do you have in your secondary job?” Men 50-59 60-69 70-79 80+ TotalNone 6 1 0 0 71 to 5 1 0 0 0 16 to 15 1 0 0 0 1Total 8 1 0 0 9Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be self-employed. Women 50-59 60-69 70-79 80+ TotalNone 4 0 0 0 46 to 15 1 0 0 0 1Total 5 0 0 0 5Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be self-employed. Table EP038_2: Frequency of payment in secondary job “Now I’d like to ask some questions about your income from your secondary job. How often do you get paid?” Men 50-59 60-69 70-79 80+ TotalEvery two weeks 1 0 0 0 1Every calender month/4 weeks 6 0 0 0 6Other frequency (specify) 1 0 0 0 1Total 8 0 0 0 8Remark: This table includes those men with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ TotalEvery calender month/4 weeks 2 1 0 0 3Total 2 1 0 0 3Remark: This table includes those women with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant.

6 In the Austrian dataset there are no women who have any responsibility for supervising the work of other employees in their secondary job.

166

Table EP041e2: Taken home from work before tax, secondary job “Before any deductions for tax, national insurance or pension and health contributuions, union dues and so on, about how much was the last payment?” Men 50-59 60-69 70-79 80+ Total 0-999 4 0 0 0 4 2,000-2,999 1 0 0 0 1 3,000-3,999 1 0 0 0 1 Refusal 1 0 0 0 1 Don't know 1 0 0 0 1 Total 8 0 0 0 8 Remark: This table includes those men with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total 0-999 2 1 0 0 3 Total 2 1 0 0 3 Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Table EP214_2: Amount includes additional payments secondary job “Did this amount include any additional payments or bonus?” Men 50-59 60-69 70-79 80+ Total Yes 1 0 0 0 1 No 7 0 0 0 7 Total 8 0 0 0 8 Remark: This table includes those men with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total Yes 0 1 0 0 1 No 2 0 0 0 2 Total 2 1 0 0 3 Remark: This table includes those women with a seconary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Table EP201e2: Taken home from work after tax, secondary job “And about how much was your last payment after all deductions for tax, national insurance or pension and health contributions, union dues and so on?” Men 50-59 60-69 70-79 80+ Total 0-999 4 0 0 0 4 2,000-2,999 3 0 0 0 3 Refusal 1 0 0 0 1 Total 8 0 0 0 8 Remark: This table includes those men with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total 0-999 2 1 0 0 3 Total 2 1 0 0 3 Remark: This table includes those women with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be an employee or a civil servant.

167

Table EP045e2: Total amount of profits at the end of the year, secondary job “Now I’d like to ask about your income from your business, that is after paying for any materials, equipment or goods that you use in your work. On average what was your monthly income before taxes from your business over the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-999 2 0 0 0 21,000-9,999 2 0 0 0 210,000-99,999 0 1 0 0 1Refusal 1 0 0 0 1Don't know 3 0 0 0 3Total 8 1 0 0 9Remark: This table includes those men with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be self-employed. Women 50-59 60-69 70-79 80+ Total0-999 2 0 0 0 2Refusal 1 0 0 0 1Don't know 2 0 0 0 2Total 5 0 0 0 5Remark: This table includes those women with a secondary job who report in ep002 to have done paid work during the last four weeks, or who report in ep003 to be temporarily away from work or who report in ep005 to be employed or self-employed. Furthermore they all report in ep009 to be self-employed. Table EP049: Years working in last job “How many years have you been working in your last job?” Men 50-59 60-69 70-79 80+ Total0-9 20 8 0 0 2810-19 16 18 12 5 5120-29 29 42 28 5 10430-39 38 81 52 14 18540-49 15 106 76 27 22450-59 0 2 4 4 10Don't know 0 1 2 0 3Total 118 258 174 55 605Remark: The values range from 1 to 53. Unplausible values have to be excluded for specific analyses. This table includes those men who report in ep006 to ever have done paid work, or who report in ep005 to be either retired or unemployed. Women 50-59 60-69 70-79 80+ Total0-9 56 38 53 16 16210-19 42 52 58 23 17620-29 40 61 37 17 15530-39 45 73 40 31 18940-49 15 33 34 20 10250-59 0 1 6 7 1360-69 0 0 2 1 370-79 0 0 1 1 2Refusal 0 1 1 0 2Don't know 0 5 4 3 12Total 198 264 236 119 817Remark: The values range from 0 to 70. Unplausible values have to be exluded for specific analyses. This table includes those women who report in ep006 to ever have done paid work, or who report in ep005 to be either retired or unemployed.

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Table EP050: Year last job end “In which year did your last job end?” Men 50-59 60-69 70-79 80+ Total 1910-1919 0 0 1 0 1 1940-1949 0 0 0 1 1 1950-1959 0 1 1 0 2 1960-1969 0 2 3 0 5 1970-1979 1 0 4 14 20 1980-1989 5 10 78 36 129 1990-1999 27 160 82 2 272 2000 and later 85 85 3 0 173 Don't know 0 0 1 1 2 Total 118 258 174 55 605 Remark: The values range from 1919 to 2004. Unplausible values have to be excluded for specific analyses. This table includes those men who report in ep006 to ever have done paid work, or who report in ep005 to be either retired or unemployed. Women 50-59 60-69 70-79 80+ Total 1900-1909 1 0 0 1 2 1910-1919 0 1 1 0 2 1930-1939 0 0 1 1 2 1940-1949 0 0 4 7 10 1950-1959 0 4 28 10 42 1960-1969 6 16 17 8 47 1970-1979 21 12 23 41 98 1980-1989 21 18 104 37 179 1990-1999 40 164 48 4 256 2000 and later 109 45 4 0 158 Refusal 0 1 1 0 2 Don't know 0 3 5 10 18 Total 198 264 236 119 817 Remark: The values range from 1900 to 2004. Unplausible values have to be excluded for specific analyses. This table includes those women who report in ep006 to ever have done paid work, or who report in ep005 to be either retired or unemployed. Table EP051: Employee or a self employed in last job “In this last job were you an employee or self-employed?” Men 50-59 60-69 70-79 80+ Total Employee 89 189 127 33 438 Civil servant 25 47 26 14 112 Self-employed 5 21 21 7 55 Total 118 258 174 55 605 Remark: This table includes those men who report in ep006 to ever have done paid work, or who report in ep005 to be either retired or unemployed. Women 50-59 60-69 70-79 80+ Total Employee 176 228 200 93 697 Civil servant 11 12 8 7 38 Self-employed 11 22 27 19 79 Refusal 0 0 1 0 1 Don't know 0 1 0 1 2 Total 198 264 236 119 817 Remark: This table includes those women who report in ep006 to ever have done paid work, or who report in ep005 to be either retired or unemployed. Table EP055: Employed in the public sector, last job “In this job were you employed in the public sector?” Men 50-59 60-69 70-79 80+ Total Yes 27 24 26 4 80 No 62 166 102 30 359 Total 89 190 127 33 439 Remark: This table includes those men who report in ep051 to be an employee.

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Women 50-59 60-69 70-79 80+ TotalYes 43 41 28 19 130No 134 188 172 74 568Total 177 229 200 93 698Remark: This table includes those women who report in ep051 to be an employee. Table EP056: Number of people employed at firm, last job “About how many people, including yourself, were employed at the place where you usually worked?” Men 50-59 60-69 70-79 80+ Total1 to 5 11 23 16 8 586 to 15 16 27 19 10 7116 to 24 23 31 21 5 8025 to 199 32 92 46 8 179200 to 499 8 35 20 5 68500 or more 24 27 30 12 93Don't know 0 1 0 0 1Total 114 236 152 48 550Remark: This table includes those men who report in ep051 to be either an employee or a civil servant. Women 50-59 60-69 70-79 80+ Total1 to 5 42 74 50 29 1956 to 15 52 49 53 18 17116 to 24 20 24 18 16 7825 to 199 45 65 50 21 182200 to 499 15 18 18 8 58500 or more 12 10 20 8 50Don't know 1 1 0 0 2Total 187 241 208 99 736Remark: This table includes those women who report in ep051 to be either an employee or a civil servant. Table EP057: Responsibility for supervising others, last job “In your last job, did you have any responsibility for supervising the work of other employees?” Men 50-59 60-69 70-79 80+ TotalYes 37 106 61 24 228No 76 130 92 24 322Total 114 236 152 48 550Remark: This table includes those men who report in ep051 to be either an employee or a civil servant. Women 50-59 60-69 70-79 80+ TotalYes 28 53 25 9 115No 160 188 184 90 621Total 187 241 208 99 736Remark: This table includes those women who report in ep051 to be either an employee or a civil servant. Table EP058: Number of people responsible for, last job “About how many people were you responsible for?” Men 50-59 60-69 70-79 80+ Total1 to 5 12 39 15 11 766 to 15 12 21 20 6 5916 to 24 7 15 12 1 3525 to 199 5 24 13 6 48200 to 499 3 5 2 0 10500 or more 0 3 0 0 3Don't know 0 1 0 0 1Total 38 108 62 24 232Remark: This table includes those men who report in ep057 to have had responsibility for supervising the work of other employees.

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Women 50-59 60-69 70-79 80+ Total 1 to 5 15 35 15 7 72 6 to 15 11 12 9 2 34 16 to 24 1 4 0 0 5 25 to 199 1 5 1 0 7 500 or more 0 1 1 0 2 Total 29 56 26 9 121 Remark: This table includes those women who report in ep057 to have had responsibility for supervising the work of other employees. Table EP061: Number of employees, last job “How many employees, if any, did you have?” Men 50-59 60-69 70-79 80+ Total None 4 7 6 6 23 1 to 5 1 11 9 0 21 6 to 15 0 1 3 0 4 16 to 24 0 0 0 1 1 25 to 199 0 2 2 0 4 200 to 499 0 1 0 0 1 500 or more 0 0 1 0 1 Total 5 21 21 7 55 Remark: This table includes those men who report in ep051 to be self-employed. Women 50-59 60-69 70-79 80+ Total None 4 9 8 12 34 1 to 5 6 9 12 7 34 6 to 15 0 3 3 0 7 16 to 24 0 0 2 0 2 25 to 199 0 0 1 0 1 Total 11 22 27 19 78 Remark: This table includes those women who report in ep051 to be self-employed. Table EP064d01: Reason for retirement c1 “Please look at card 23. For which reasons did you retire?” (Became eligible for public pension) Men 50-59 60-69 70-79 80+ Total Not selected 312 145 156 62 675 Selected 66 161 126 74 427 Total 378 306 281 136 1,102 Women 50-59 60-69 70-79 80+ Total Not selected 318 105 39 11 473 Selected 20 149 125 41 335 Total 338 254 164 52 808 Table EP064d02: Reason for retirement c2 “Please look at card 23. For which reasons did you retire?” (Became eligible for private occupational pension) Men 50-59 60-69 70-79 80+ Total Not selected 336 250 159 51 797 Selected 1 4 5 1 11 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 303 280 136 1,097 Selected 1 3 1 0 5 Total 378 306 281 136 1,102

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Table EP064d03: Reason for retirement c3 “Please look at card 23. For which reasons did you retire?” (Became eligible for a private pension) Men 50-59 60-69 70-79 80+ TotalNot selected 338 251 162 52 803Selected 0 3 2 0 5Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 305 281 136 1,101Selected 0 1 0 0 1Total 378 306 281 136 1,102 Table EP064d04: Reason for retirement c4 “Please look at card 23. For which reasons did you retire?” (Was offered an early retirement option/window (with special incentives or bonus)) Men 50-59 60-69 70-79 80+ TotalNot selected 333 237 160 51 781Selected 5 16 4 1 27Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 298 278 136 1,084Selected 7 8 3 0 18Total 378 306 281 136 1,102 Table EP064d05: Reason for retirement c5 “Please look at card 23. For which reasons did you retire?” (Made redundant (for example pre-retirement)) Men 50-59 60-69 70-79 80+ TotalNot selected 326 240 159 51 777Selected 11 14 5 1 31Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 370 292 274 134 1,071Selected 8 14 7 2 31Total 378 306 281 136 1,102 Table EP064d06: Reason for retirement c6 “Please look at card 23. For which reasons did you retire?” (Own ill health) Men 50-59 60-69 70-79 80+ TotalNot selected 303 194 139 45 682Selected 34 60 25 8 126Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 353 267 246 117 983Selected 25 39 35 20 119Total 378 306 281 136 1,102 Table EP064d07: Reason for retirement c7 “Please look at card 23. For which reasons did you retire?” (Ill health of relative or friend) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 51 807Selected 0 0 0 1 1Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ Total Not selected 374 300 277 135 1,086 Selected 5 6 5 1 16 Total 378 306 281 136 1,102 Table EP064d08: Reason for retirement c8 “Please look at card 23. For which reasons did you retire?” (To retire at same time as spouse or partner) Men 50-59 60-69 70-79 80+ Total Not selected 336 253 163 52 805 Selected 1 1 1 0 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 298 278 136 1,090 Selected 1 8 3 0 12 Total 378 306 281 136 1,102 Table EP064d09: Reason for retirement c9 “Please look at card 23. For which reasons did you retire?” (To spend more time with family) Men 50-59 60-69 70-79 80+ Total Not selected 337 252 163 52 804 Selected 1 2 1 0 4 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 291 257 125 1,050 Selected 2 15 24 11 52 Total 378 306 281 136 1,102 Table EP064d10: Reason for retirement c10 “Please look at card 23. For which reasons did you retire?” (To enjoy life) Men 50-59 60-69 70-79 80+ Total Not selected 336 246 162 52 796 Selected 2 8 2 0 12 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 303 278 132 1,088 Selected 3 3 3 4 14 Total 378 306 281 136 1,102 Table EP064d11: Other reason for retirement “Please look at card 23. For which reasons did you retire?” (Other reason) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102

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Table EP065: Retirement been a relief or a concern “Since you stopped working, has retirement mainly been a relief or a concern for you?” Men 50-59 60-69 70-79 80+ TotalA relief 52 191 124 36 403A concern 5 3 3 0 11Neither a relief nor a concern 12 50 39 13 114Both a relief and a concern 5 11 9 6 31Don't know 0 1 0 0 1Total 75 255 175 56 561Remark: This table includes those men who report in ep005 to be retired. Women 50-59 60-69 70-79 80+ TotalA relief 97 180 143 68 488A concern 4 6 8 1 19Neither a relief nor a concern 18 49 51 40 158Both a relief and a concern 2 12 13 6 33Don't know 0 1 0 0 1Total 121 247 216 114 698Remark: This table includes those women who report in ep005 to be retired. Table EP059: Opportunities to work after the official retirement age “In your last job, were there opportunities to work, either full time or part-time, after the official retirement age?” Men 50-59 60-69 70-79 80+ TotalYes 15 49 28 16 108No 60 205 146 40 452Don't know 0 1 0 0 1Total 75 255 175 56 561Remark: This table includes those men who report in ep005 to be retired Women 50-59 60-69 70-79 80+ TotalYes 31 61 33 25 150No 90 186 183 88 547Don't know 0 0 0 1 1Total 121 247 216 114 698Remark: This table includes those women who report in ep005 to be retired. Table EP067: How became unemployed “Would you tell us how you became unemployed? Was it…?” Men 50-59 60-69 70-79 80+ TotalBecause your place of work or office closed 6 0 0 0 6Because you resigned 2 0 0 0 2Because you were laid off 5 1 0 0 6By mutual agreement between you and your employer 1 0 0 0 1Because a temporary job had been completed 1 0 0 0 1Other reason 6 1 0 0 7Total 22 1 0 0 23Remark: This table includes those men who report in ep005 to be unemployed. Women 50-59 60-69 70-79 80+ TotalBecause your place of work or office closed 4 1 0 0 5Because you were laid off 6 0 0 0 6By mutual agreement between you and your employer 4 0 0 0 4Because a temporary job had been completed 1 0 0 0 1Other reason 5 0 0 0 5Total 20 1 0 0 21Remark: This table includes those women who report in ep005 to be unemployed.

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Table EP068: Disability caused by work “You said that you are permanently sick or disabled. Was this caused by your working activities before you stopped?” Men 50-59 60-69 70-79 80+ Total Yes 2 1 1 0 5 No 8 2 0 0 10 Total 10 4 1 0 15 Remark: This table includes those men who report in ep006 to ever have done paid work and who report in ep005 to be permanentely sick or disabled. Women 50-59 60-69 70-79 80+ Total Yes 2 0 0 0 2 No 6 0 0 0 6 Total 8 0 0 0 8 Remark: This table includes those women who report in ep006 to ever have done paid work and who report in ep005 to be permanentely sick or disabled. Table EP069d1: Reason stopped working: health problems “Why did you decide to stop working?” (Health problems) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 305 281 136 1,098 Selected 3 1 0 0 4 Total 378 306 281 136 1,102 Table EP069d2: Reason stopped working: too tiring “Why did you decide to stop working?” (Too tiring) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 305 281 136 1,100 Selected 1 1 0 0 2 Total 378 306 281 136 1,102 Table EP069d3: Reason stopped working: too expensive to hire someone to look after home or family “Why did you decide to stop working?” (Too expensive to hire someone to look after home or family) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 306 280 136 1,099 Selected 2 0 1 0 3 Total 378 306 281 136 1,102 Table EP069d4: Reason stopped working: wanted to take care of (grand)children “Why did you decide to stop working?” (Wanted to take care of (grand)children) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 347 297 264 133 1,041Selected 32 9 17 3 61Total 378 306 281 136 1,102 Table EP069d5: Other reason stopped working “Why did you decide to stop working?” (Other reason) Men 50-59 60-69 70-79 80+ TotalNot selected 338 253 163 52 806Selected 0 1 1 0 2Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 373 298 278 133 1,082Selected 6 8 3 3 20Total 378 306 281 136 1,102 Table EP204: Any earnings from employment 2003 “Have you had any earnings at all from employment in 2003?” Men 50-59 60-69 70-79 80+ TotalYes 188 35 11 1 235No 147 218 151 50 567Don't know 1 0 0 0 1Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalYes 139 22 19 8 188No 236 282 257 129 904Refusal 0 2 0 0 2Don't know 1 0 0 0 1Total 376 305 277 136 1,094 Table EP205e: Earnings per year before taxes from employment “Before any tax and contributions, what was your approximate income from employment in the year 2003?” Men 50-59 60-69 70-79 80+ Total0-999 6 2 1 0 91,000-9,999 42 13 3 1 5810,000-99,999 82 13 4 0 99100,000-999,999 1 1 0 0 2Refusal 22 3 3 0 27Don't know 13 0 0 0 13Total 167 31 10 1 209Remark: This table includes those men who report in ep204 to have earnings from employment in 2003. Women 50-59 60-69 70-79 80+ Total0-999 23 5 6 2 371,000-9,999 34 7 5 3 4910,000-99,999 48 7 2 1 58100,000-999,999 1 0 0 0 1Refusal 10 1 2 1 13Don't know 11 1 2 0 13Total 127 20 18 7 172Remark: This table includes those women who report in ep204 to have earnings from employment in 2003.

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Table EP206: Income from self-employment 2003 “Have you had any income at all from self-employment or work for a family business in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 2 1 1 0 3 1,000-9,999 11 2 1 0 14 10,000-99,999 6 1 1 1 9 10,000,000-99,999,999 1 0 0 0 1 Refusal 8 1 0 0 9 Don't know 10 1 0 0 11 Total 38 6 3 1 47 Women 50-59 60-69 70-79 80+ Total 0-999 4 0 1 0 5 1,000-9,999 5 2 1 0 8 10,000-99,999 2 3 1 0 6 100,000-999,999 1 0 0 0 1 Refusal 5 1 1 0 7 Don't know 6 1 0 1 8 Total 23 7 4 1 36 Table EP207e: Earnings per year before taxes from self-employment “Before any tax and contributions, but after paying for any materials, equipment or goods that you use in your work, what was your approximate income from self-employment in the year 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 7 34 26 15 82 1,000-9,999 17 138 99 26 280 10,000-99,999 3 16 14 2 36 100,000-999,999 0 1 0 0 1 Refusal 4 21 18 4 46 Don't know 1 10 9 4 24 Total 32 221 166 50 470 Remark: This table includes those men who report in ep206 to have income from self-employment in 2003. Women 50-59 60-69 70-79 80+ Total 0-999 34 110 114 47 304 1,000-9,999 27 69 48 26 170 10,000-99,999 4 11 5 3 24 Refusal 7 17 13 7 44 Don't know 2 8 15 13 38 Total 75 215 195 96 581 Remark: This table includes those women who report in ep206 to have income from self-employment in 2003. Table EP071d01: Income source in last year c1 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Public old age pension) Men 50-59 60-69 70-79 80+ Total Not selected 308 54 14 7 383 Selected 29 200 150 46 425 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 307 100 95 45 547 Selected 72 206 186 92 555 Total 378 306 281 136 1,102

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Table EP071d02: Income source in last year c2 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Public early retirement or pre-retirement pension) Men 50-59 60-69 70-79 80+ TotalNot selected 315 237 161 50 763Selected 22 17 3 2 45Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 355 288 277 135 1,056Selected 23 18 5 1 46Total 378 306 281 136 1,102 Table EP071d03: Income source in last year c3 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Public disability insurance) Men 50-59 60-69 70-79 80+ TotalNot selected 321 245 161 49 777Selected 16 9 3 3 31Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 304 274 135 1,086Selected 7 2 7 1 16Total 378 306 281 136 1,102 Table EP071d04: Income source in last year c4 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Public unemployment benefit or insurance) Men 50-59 60-69 70-79 80+ TotalNot selected 312 252 164 52 780Selected 26 2 0 0 28Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 361 306 281 136 1,085Selected 17 0 0 0 17Total 378 306 281 136 1,102 Table EP071d05: Income source in last year c5 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Public survivor pension from your spouse or partner) Men 50-59 60-69 70-79 80+ TotalNot selected 336 253 161 50 801Selected 1 1 3 2 7Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 359 276 213 94 941Selected 19 30 69 43 161Total 378 306 281 136 1,102

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Table EP071d06: Income source in last year c6 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Public invalidity or incapacity pension) Men 50-59 60-69 70-79 80+ Total Not selected 331 254 164 52 802 Selected 6 0 0 0 6 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 302 280 136 1,092 Selected 5 4 1 0 10 Total 378 306 281 136 1,102 Table EP071d07: Income source in last year c7 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (War pension) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 51 807 Selected 0 0 0 1 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 279 134 1,098 Selected 0 0 2 2 4 Total 378 306 281 136 1,102 Table EP071d08: Income source in last year c8 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Private (occupational) old age pension) Men 50-59 60-69 70-79 80+ Total Not selected 338 241 153 51 783 Selected 0 13 11 1 25 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 299 276 135 1,086 Selected 2 7 6 1 16 Total 378 306 281 136 1,102 Table EP071d09: Income source in last year c9 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Private (occupational) early retirement pension) Men 50-59 60-69 70-79 80+ Total Not selected 334 249 164 52 800 Selected 4 5 0 0 8 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 135 1,101 Selected 0 0 0 1 1 Total 378 306 281 136 1,102

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Table EP071d10: Income source in last year c10 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Private (occupational) disability or invalidity insurance) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 306 281 135 1,099Selected 2 0 0 1 3Total 378 306 281 136 1,102 Table EP071d11: Income source in last year c11 “Please look at card 24. Have you received income from any of these sources in the year 2003?” (Private (occupational) survivor pension from your spouse or partner’s job) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 373 300 267 125 1,065Selected 6 6 14 11 37Total 378 306 281 136 1,102 Table EP213_1: First year received income source c1 “In which year did you first receive your income source c1?” Men 50-59 60-69 70-79 80+ Total1960-1969 0 1 1 0 21970-1979 0 0 4 12 171980-1989 0 7 74 36 1171990-1999 9 133 80 2 2252000 and later 23 80 4 0 107Don't know 0 0 2 0 2Total 32 221 166 50 470Remark: The values range from 1960 to 2003. This table includes those men who report in ep071d01 to have income from public old age pension. Women 50-59 60-69 70-79 80+ Total1950-1959 0 0 0 1 11960-1969 0 0 2 7 91970-1979 0 1 6 37 431980-1989 0 10 110 40 1601990-1999 14 156 69 6 2442000 and later 61 47 4 0 112Refusal 0 1 0 0 1Don't know 0 2 4 6 11Total 75 215 195 96 581Remark: The values range from 1953 to 2003. This table includes those women who report in ep071d01 to have income from public old age pension.

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Table EP208_1: How many months received income source c1 “For how many months altogether did you receive your income source c1 in 2003?” Men 50-59 60-69 70-79 80+ Total 1 1 0 1 0 2 2 1 1 0 0 2 3 1 2 0 0 3 4 0 1 0 0 1 5 0 1 0 0 1 6 1 1 0 0 2 7 0 2 0 0 2 8 4 1 0 0 5 9 0 3 0 0 3 10 0 1 1 0 2 11 0 1 0 0 1 12 23 209 164 50 446 Total 32 221 166 50 470 Remark: This table includes those men who report in ep071d01 to have income from public old age pension. Women 50-59 60-69 70-79 80+ Total 1 4 1 0 0 4 3 2 0 1 0 4 4 2 0 0 0 2 5 1 0 0 0 1 6 1 2 0 0 3 7 0 1 0 0 1 9 1 1 0 0 2 10 1 2 0 0 4 12 62 208 192 96 558 Don't know 0 1 1 0 2 Total 75 215 195 96 581 Remark: This table includes those women who report in ep071d01 to have income from public old age pension. Table EP078e1: Average payment income source c1 “Before taxes, about how large was the average payment of income source c1 in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 7 34 26 15 82 1,000-9,999 17 138 99 26 280 10,000-99,999 3 16 14 2 36 100,000-999,999 0 1 0 0 1 Refusal 4 21 18 4 46 Don't know 1 10 9 4 24 Total 32 221 166 50 470 Remark: This table includes those men who report in ep071d01 to have income from public old age pension. Women 50-59 60-69 70-79 80+ Total 0-999 34 110 114 47 304 1,000-9,999 27 69 48 26 170 10,000-99,999 4 11 5 3 24 Refusal 7 17 13 7 44 Don't know 2 8 15 13 38 Total 75 215 195 96 581 Remark: This table includes those women who report in ep071d01 to have income from public old age pension. Table EP074_1: Period of income source c1 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ Total One week 0 1 1 0 2 Calendar month/4 weeks 32 216 160 49 457 Full year/12 months/52 weeks 0 4 5 0 10 Other (specify) 0 0 0 1 1 Total 32 221 166 50 470 Remark: This table includes those men who report in ep071d01 to have income from public old age pension.

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Women 50-59 60-69 70-79 80+ TotalOne week 0 0 0 1 1Two weeks 0 1 0 1 2Calendar month/4 weeks 71 207 191 92 562Three months/13 weeks 0 1 0 0 1Full year/12 months/52 weeks 2 6 2 0 10Other (specify) 1 1 0 0 2Refusal 0 0 0 1 1Don't know 0 0 1 0 1Total 75 215 195 96 581Remark: This table includes those women who report in ep071d01 to have income from public old age pension. Table EP081_1: Lump sum payment income source c1 “Did you receive any additional or lump sum (one off) payment from your income source c1?” Men 50-59 60-69 70-79 80+ Total0-999 0 2 3 1 61,000-9,999 3 52 37 12 10410,000-99,999 0 1 0 0 1Refusal 3 10 3 1 18Don't know 0 0 0 1 1Total 6 65 43 16 130Remark: This table includes those men who report in ep071d01 to have income from public old age pension. Women 50-59 60-69 70-79 80+ Total0-999 4 12 14 5 351,000-9,999 15 35 24 11 86Refusal 2 4 5 0 11Don't know 0 2 6 1 9Total 21 54 49 17 141Remark: This table includes those women who report in ep071d01 to have income from public old age pension. Table EP082e1: Total amount of lump sum payment income source c1 “Before taxes, about how much did you receive as additional or lump sum payments from income source 1?” Men 50-59 60-69 70-79 80+ Total0-999 5 1 2 0 81,000-9,999 12 10 0 1 2410,000-99,999 5 2 0 0 7Refusal 0 2 1 0 3Don't know 0 2 0 1 3Total 22 17 3 2 45Remark: This table includes those men who report in ep081_1 to have received a lump sum payment from public old age pension. Women 50-59 60-69 70-79 80+ Total0-999 13 10 1 1 261,000-9,999 8 5 1 0 1410,000-99,999 0 0 1 0 1Refusal 0 2 0 0 2Don't know 2 1 1 0 4Total 24 18 5 1 48Remark: This table includes those women who report in ep081_1 have received a lump sum payment from public old age pension.

182

Table EP213_2: First year received income source c2 “In which year did you first receive your income source c2?” Men 50-59 60-69 70-79 80+ Total 1960-1969 0 0 1 0 1 1980-1989 1 2 1 1 5 1990-1999 6 10 1 0 16 2000 and later 15 6 0 0 22 Don't know 0 0 0 1 1 Total 22 17 3 2 45 Remark: The values range from 1966 to 2003. This table includes those men who report in ep071d02 to have income from public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total 1940-1949 0 0 0 1 1 1970-1979 0 0 2 0 2 1980-1989 1 2 2 0 6 1990-1999 2 13 0 0 15 2000 and later 20 3 0 0 24 Total 24 18 5 1 48 Remark: The values range from 1940 to 2003. This table includes those women who report in ep071d02 to have income from public early retirement or pre-retirement pension. Table EP208_2: How many months received income source c2 “For how many months altogether did you receive your income source c2 in 2003?” Men 50-59 60-69 70-79 80+ Total 1 1 1 0 0 2 4 0 1 0 0 1 12 21 16 3 2 42 Total 22 17 3 2 45 Remark: This table includes those men who report in ep071d02 to have income from public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total 1 1 0 0 0 1 2 2 0 0 0 2 3 1 0 0 0 1 4 2 0 0 0 2 7 1 0 0 0 1 11 1 0 0 0 1 12 14 18 5 1 38 Total 24 18 5 1 48 Remark: This table includes those women who report in ep071d02 to have income from public early retirement or pre-retirement pension. Table EP078e2: Average payment income source c2 “Before taxes, about how large was the average payment of income source c2 in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 5 1 2 0 8 1,000-9,999 12 10 0 1 24 10,000-99,999 5 2 0 0 7 Refusal 0 2 1 0 3 Don't know 0 2 0 1 3 Total 22 17 3 2 45 Remark: This table includes those men who report in ep071d02 to have income from public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total 0-999 13 10 1 1 26 1,000-9,999 8 5 1 0 14 10,000-99,999 0 0 1 0 1 Refusal 0 2 0 0 2 Don't know 2 1 1 0 4 Total 24 18 5 1 48 Remark: This table includes those women who report in ep071d02 to have income from public early retirement or pre-retirement pension.

183

Table EP074_2: Period of income source c2 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ TotalOne week 0 1 0 0 1Calendar month/4 weeks 20 14 3 2 39Full year/12 months/52 weeks 3 1 0 0 3Other (specify) 0 1 0 0 1Refusal 0 1 0 0 1Total 22 17 3 2 45Remark: This table includes those men who report in ep071d02 to have income from public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 24 18 5 1 48Total 24 18 5 1 48Remark: This table includes those women who report in ep071d02 to have income from public early retirement or pre-retirement pension. Table EP081_2: Lump sum payment income source c2 “Did you receive any additional or lump sum (one off) payment from your income source c2?” Men 50-59 60-69 70-79 80+ TotalYes 3 7 0 0 10No 19 10 3 2 35Total 22 17 3 2 45Remark: This table includes those men who report in ep071d02 to have income from public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ TotalYes 10 3 0 0 13No 14 15 5 1 35Total 24 18 5 1 48Remark: This table includes those women who report in ep071d02 to have income from public early retirement or pre-retirement pension.

Table EP082e2: Total amount of lump sum payment income source c2 “Before taxes, about how much did you receive as additional or lump sum payments from income source c2?” Men 50-59 60-69 70-79 80+ Total1,000-9,999 3 5 0 0 7Refusal 0 2 0 0 2Don't know 1 2 0 0 3Total 4 8 0 0 12Remark: This table includes those men who report in ep081_2 to have received a lump sum payment from income from public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total0-999 2 1 0 0 31,000-9,999 6 1 0 0 7Refusal 1 1 0 0 2Total 9 3 0 0 12Remark: This table includes those women who report in ep081_2 to have received a lump sum payment from income from public early Table EP213_3: Year received income source c3 “In which year did you first receive your income source c3?” Men 50-59 60-69 70-79 80+ Total1940-1949 0 0 0 1 11950-1959 0 0 1 0 11970-1979 0 1 1 1 31980-1989 1 1 1 0 41990-1999 6 5 0 0 112000 and later 8 1 0 1 10Total 16 8 3 3 30Remark: The values range from 1949 to 2003. This table includes those men who report in ep071d03 to have income from public disability insurance.

184 Women 50-59 60-69 70-79 80+ Total 1950-1959 0 0 1 0 1 1960-1969 0 0 1 0 1 1970-1979 0 1 0 0 1 1980-1989 1 0 3 0 4 1990-1999 3 0 1 1 5 2000 and later 2 0 0 0 2 Don't know 0 1 0 0 1 Total 6 1 6 1 15 Remark: The values range from 1958 to 2002. This table includes those women who report in ep071d03 to have income from public disability insurance. Table EP208_3: How many months received income source c3 “For how many months altogether did you receive your income source c3 in 2003?” Men 50-59 60-69 70-79 80+ Total 2 1 0 0 0 1 10 0 1 0 0 1 12 14 7 3 3 28 Total 16 8 3 3 30 Remark: This table includes those men who report in ep071d03 to have income from public disability insurance. Women 50-59 60-69 70-79 80+ Total 12 6 1 6 1 15 Total 6 1 6 1 15 Remark: This table includes those women who report in ep071d03 to have income from public disability insurance. Table EP078e3: Average payment income source c3 “Before taxes, about how large was the average payment of income source c3 in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 4 4 2 3 13 1,000-9,999 11 2 1 0 14 10,000-99,999 1 1 0 0 3 Refusal 0 1 0 0 1 Total 16 8 3 3 30 Remark: This table includes those men who report in ep071d03 to have income from public disability insurance. Women 50-59 60-69 70-79 80+ Total 0-999 3 1 3 1 8 1,000-9,999 2 1 2 0 5 Refusal 0 0 1 0 1 Don't know 1 0 0 0 1 Total 6 1 6 1 15 Remark: This table includes those women who report in ep071d03 to have income from public disability insurance. Table EP074_3: Period of income source c3 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 14 8 3 2 28 Full year/12 months/52 weeks 1 0 0 0 1 Other (specify) 0 0 0 1 1 Total 16 8 3 3 30 Remark: This table includes those men who report in ep071d03 to have income from public disability insurance. Women 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 6 1 6 1 14 Full year/12 months/52 weeks 0 1 0 0 1 Total 6 1 6 1 15 Remark: This table includes those women who report in ep071d03 to have income from public disability insurance.

185

Table EP081_3: Lump sum payment income source c3 “Did you receive any additional or lump sum (one off) payment from your income source c3?” Men 50-59 60-69 70-79 80+ TotalYes 2 0 0 1 3No 13 8 3 2 27Total 16 8 3 3 30Remark: This table includes those men who report in ep071d03 to have income from public disability insurance. Women 50-59 60-69 70-79 80+ TotalYes 3 1 4 0 8No 3 1 2 1 7Total 6 1 6 1 15Remark: This table includes those women who report in ep071d03 to have income from public disability insurance. Table EP082e3: Total amount of lump sum payment income source c3 “Before taxes, about how much did you receive as additional or lump sum payments from income source c3?” Men 50-59 60-69 70-79 80+ Total0-999 1 0 0 1 21,000-9,999 1 0 0 0 1Total 2 0 0 1 3Remark: This table includes those men who report in ep081_3 to have received a lump sum payment from income from public disability insurance. Women 50-59 60-69 70-79 80+ Total0-999 0 0 2 0 21,000-9,999 3 1 1 0 5Refusal 0 0 1 0 1Total 3 1 4 0 8Remark: This table includes those women who report in ep081_3 to have received a lump sum payment from income from public disability insurance. Table EP213_4: First year received income source c4 “In which year did you first receive your income source c4?” Men 50-59 60-69 70-79 80+ Total1970-1979 1 0 0 0 11980-1989 3 0 0 0 31990-1999 3 1 0 0 32000 and later 14 1 0 0 15Refusal 1 0 0 0 1Total 22 2 0 0 24Remark: The values range from 1978 to 2003. This table includes those men who report in ep071d04 to have income from unemployment benefit or insurance. Women 50-59 60-69 70-79 80+ Total1970-1979 1 0 0 0 11980-1989 1 0 0 0 11990-1999 5 0 0 0 52000 and later 8 0 0 0 8Total 15 0 0 0 15Remark: The values range from 1978 to 2003. This table includes those women who report in ep071d04 to have income from unemployment benefit or insurance.

186

Table EP208_4: How many months received income source c4 “For how many months altogether did you receive your income source c4 in 2003?” Men 50-59 60-69 70-79 80+ Total 3 2 0 0 0 2 4 3 0 0 0 3 6 1 0 0 0 1 8 2 0 0 0 2 9 1 0 0 0 1 10 1 0 0 0 1 11 0 1 0 0 1 12 11 1 0 0 13 Total 22 2 0 0 24 Remark: This table includes those men who report in ep071d04 to have income from unemployment benefit or insurance. Women 50-59 60-69 70-79 80+ Total 2 1 0 0 0 1 3 1 0 0 0 1 8 2 0 0 0 2 10 1 0 0 0 1 12 9 0 0 0 9 Don't know 1 0 0 0 1 Total 15 0 0 0 15 Remark: This table includes those women who report in ep071d04 to have income from unemployment benefit or insurance. Table EP078e4: Average payment income source c4 “Before taxes, about how large was the average payment of income source c4 in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 9 1 0 0 9 1,000-9,999 7 1 0 0 8 Refusal 3 0 0 0 3 Don't know 3 0 0 0 3 Total 22 2 0 0 24 Remark: This table includes those men who report in ep071d04 to have income from unemployment benefit or insurance. Women 50-59 60-69 70-79 80+ Total 0-999 9 0 0 0 9 1,000-9,999 1 0 0 0 1 Refusal 3 0 0 0 3 Don't know 2 0 0 0 2 Total 15 0 0 0 15 Remark: This table includes those women who report in ep071d04 to have income from unemployment benefit or insurance. Table EP074_4: Period of income source c4 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 19 2 0 0 21 Full year/12 months/52 weeks 2 0 0 0 2 Other (specify) 1 0 0 0 1 Total 22 2 0 0 24 Remark: This table includes those men who report in ep071d04 to have income from unemployment benefit or insurance. Women 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 14 0 0 0 14 Full year/12 months/52 weeks 1 0 0 0 1 Total 15 0 0 0 15 Remark: This table includes those women who report in ep071d04 to have income from unemployment benefit or insurance.

187

Table EP081_4: Lump sum payment income source c47 “Did you receive any additional or lump sum (one off) payment from your income source c4?” Men 50-59 60-69 70-79 80+ TotalNo 22 2 0 0 24Total 22 2 0 0 24Remark: This table includes those men who report in ep071d04 to have income from unemployment benefit or insurance. Women 50-59 60-69 70-79 80+ TotalNo 14 0 0 0 14Refusal 1 0 0 0 1Total 15 0 0 0 15Remark: This table includes those women who report in ep071d04 to have income from unemployment benefit or insurance. Table EP213_5: First year received income source c5 “In which year did you first receive your income source c5?” Men 50-59 60-69 70-79 80+ Total1980-1989 0 0 0 1 11990-1999 1 0 2 0 32000 and later 0 1 1 1 3Total 1 1 3 2 7Remark: The values range from 1988 to 2003. This table includes those men who report in ep071d05 to have income from public survivor pension from spouse or partner. Women 50-59 60-69 70-79 80+ Total1940-1949 0 0 0 1 11960-1969 0 1 1 1 41970-1979 0 4 4 5 131980-1989 2 4 21 16 431990-1999 7 13 31 7 592000 and later 8 6 8 7 29Refusal 0 0 0 1 1Don't know 1 1 1 2 5Total 19 29 66 41 155Remark: The values range from 1941 to 2003. This table includes those women who report in ep071d05 to have income from public survivor pension from spouse or partner. Table EP208_5: How many months received income source c5 “For how many months altogether did you receive your income source c5 in 2003?” Men 50-59 60-69 70-79 80+ Total3 0 0 1 0 18 0 0 0 1 112 1 1 2 1 5Total 1 1 3 2 7Remark: This table includes those men who report in ep071d05 to have income from public survivor pension from spouse or partner. Women 50-59 60-69 70-79 80+ Total1 0 0 1 0 14 0 0 0 1 16 0 1 0 0 18 0 1 1 0 29 0 0 0 1 110 0 1 0 0 111 1 0 0 0 112 18 27 62 39 145Don't know 0 0 2 0 2Total 19 29 66 41 155Remark: This table includes those women who report in ep071d05 to have income from public survivor pension from spouse or partner.

7 Since there are no Austrian respondents who answered to have received lump sum payment from unemployment benefit or insurance, the variable ep082_4 has only missings.

188

Table EP078e5: Average payment income source c5 “Before taxes, about how large was the average payment of income source c5 in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 1 1 2 1 5 1,000-9,999 0 0 1 0 1 Refusal 0 0 0 1 1 Total 1 1 3 2 7 Remark: This table includes those men who report in ep071d05 to have income from public survivor pension from spouse or partner. Women 50-59 60-69 70-79 80+ Total 0-999 13 20 45 22 101 1,000-9,999 2 1 10 9 23 10,000-99,999 1 1 0 1 4 Refusal 1 3 6 2 12 Don't know 1 3 6 6 16 Total 19 29 66 41 155 Remark: This table includes those women who report in ep071d05 to have income from public survivor pension from spouse or partner. Table EP074_5: Period of income source c5 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 1 1 3 2 7 Total 1 1 3 2 7 Remark: This table includes those men who report in ep071d05 to have income from public survivor pension from spouse or partner. Women 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 19 29 66 41 155 Total 19 29 66 41 155 Remark: This table includes those women who report in ep071d05 to have income from public survivor pension from spouse or partner. Table EP081_5: Lump sum payment income source c5 “Did you receive any additional or lump sum (one off) payment from your income source c5?” Men 50-59 60-69 70-79 80+ Total Yes 0 1 0 0 1 No 1 0 3 2 6 Total 1 1 3 2 7 Remark: This table includes those men who report in ep071d05 to have income from public survivor pension from spouse or partner. Women 50-59 60-69 70-79 80+ Total Yes 7 11 12 11 40 No 12 18 54 31 115 Total 19 29 66 41 155 Remark: This table includes those women who report in ep071d05 to have income from public survivor pension from spouse or partner. Table EP082e5: Total amount of lump sum payment income source c5 “Before taxes, about how much did you receive as additional or lump sum payments from income source c5?” Men 50-59 60-69 70-79 80+ Total 0-999 0 1 0 0 1 Total 0 1 0 0 1 Remark: This table includes this man who reports in ep081_5 to have received a lump sum payment from public survivor pension from spouse or partner. Women 50-59 60-69 70-79 80+ Total 0-999 1 0 2 0 3 1,000-9,999 5 8 7 9 28 Refusal 1 2 3 1 8 Don't know 0 1 0 1 2 Total 7 11 12 11 41 Remark: This table includes those women who report in ep081_5 to have received a lump sum payment from public survivor pension from spouse or partner.

189

Table EP213_6: First year received income source c6 “In which year did you first receive your income source c6?” Men 50-59 60-69 70-79 80+ Total1980-1989 1 0 0 0 11990-1999 3 0 0 0 32000 and later 1 0 0 0 1Total 5 0 0 0 5Remark: The values range from 1989 to 2003. This table includes those men who report in ep071d06 to have income from public invalidity or incapacity pension. Women 50-59 60-69 70-79 80+ Total1980-1989 0 0 1 0 11990-1999 1 2 0 0 42000 and later 4 2 0 0 5Total 5 4 1 0 10Remark: The values range from 1988 to 2002. This table includes those women who report in ep071d06 to have income from public invalidity or incapacity pension. Table EP208_6: How many months received income source c6 “For how many months altogether did you receive your income source c6 in 2003?” Men 50-59 60-69 70-79 80+ Total10 1 0 0 0 112 4 0 0 0 4Total 5 0 0 0 5Remark: This table includes those men who report in ep071d06 to have income from public invalidity or incapacity pension. Women 50-59 60-69 70-79 80+ Total12 5 4 1 0 10Total 5 4 1 0 10Remark: This table includes those women who report in ep071d06 to have income from public invalidity or incapacity pension. Table EP078e6: Average payment income source c6 “Before taxes, about how large was the average payment of income source c6 in 2003?” Men 50-59 60-69 70-79 80+ Total0-999 4 0 0 0 4Don't know 1 0 0 0 1Total 5 0 0 0 5Remark: This table includes those men who report in ep071d06 to have income from public invalidity or incapacity pension. Women 50-59 60-69 70-79 80+ Total0-999 4 3 1 0 81,000-9,999 1 1 0 0 2Total 5 4 1 0 10Remark: This table includes those women who report in ep071d06 to have income from public invalidity or incapacity pension. Table EP074_6: Period of income source c6 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 4 0 0 0 4Three months/13 weeks 1 0 0 0 1Total 5 0 0 0 5Remark: This table includes those men who report in ep071d06 to have income from public invalidity or incapacity pension. Women 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 5 4 1 0 10Total 5 4 1 0 10Remark: This table includes those women who report in ep071d06 to have income from public invalidity or incapacity pension.

190

Table EP081_6: Lump sum payment income source c68 “Did you receive any additional or lump sum (one off) payment from your income source c6?” Men 50-59 60-69 70-79 80+ Total No 5 0 0 0 5 Total 5 0 0 0 5 Remark: This table includes those men who report in ep071d06 to have income from public invalidity or incapacity pension. Women 50-59 60-69 70-79 80+ Total No 5 4 1 0 10 Total 5 4 1 0 10 Remark: This table includes those women who report in ep071d06 to have income from public invalidity or incapacity pension. Table EP213_7: First year received income source c7 “In which year did you first receive your income source c7?” Men 50-59 60-69 70-79 80+ Total 2000 and later 0 0 0 1 1 Total 0 0 0 1 1 Remark: This table includes this man who reports in ep071d07 to have income from war pension. Women 50-59 60-69 70-79 80+ Total 1940-1949 0 0 0 1 1 1960-1969 0 0 0 1 1 1980-1989 0 0 2 0 2 Total 0 0 2 2 4 Remark: This table includes those women who report in ep071d07 to have income from war pension. Table EP208_7: How many months received income source c7 “For how many months altogether did you receive your income source c7 in 2003?” Men 50-59 60-69 70-79 80+ Total 12 0 0 0 1 1 Total 0 0 0 1 1 Remark: This table includes this man who reports in ep071d07 to have income from war pension. Women 50-59 60-69 70-79 80+ Total 12 0 0 2 2 4 Total 0 0 2 2 4 Remark: This table includes those women who report in ep071d07 to have income from war pension. Table EP078e7: Average payment income source c7 “Before taxes, about how large was the average payment of income source c7 in 2003?” Men 50-59 60-69 70-79 80+ Total 21.8 0 0 0 1 1 Total 0 0 0 1 1 Remark: This table includes this man who reports in ep071d07 to have income from war pension. Women 50-59 60-69 70-79 80+ Total 0 0 0 1 0 1 160 0 0 0 1 1 450 0 0 1 0 1 1000 0 0 0 1 1 Total 0 0 2 2 4 Remark: This table includes those women who report in ep071d07 to have income from war pension.


191

Table EP074_7: Period of income source c7 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 0 0 0 1 1Total 0 0 0 1 1Remark: This table includes this man who reports in ep071d07 to have income from war pension. Women 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 0 0 2 1 3Three months/13 weeks 0 0 0 1 1Total 0 0 2 2 4Remark: This table includes those women who report in ep071d07 to have income from war pension. Table EP081_7: Lump sum payment income source c79 “Did you receive any additional or lump sum (one off) payment from your income source c7?” Men 50-59 60-69 70-79 80+ TotalNo 0 0 0 1 1Total 0 0 0 1 1Remark: This table includes this man who reports in ep071d07 to have income from war pension. Women 50-59 60-69 70-79 80+ TotalNo 0 0 2 2 4Total 0 0 2 2 4Remark: This table includes those women who report in ep071d07 to have income from war pension. Table EP213_8: First year received income source c8 “In which year did you first receive your income source c8?” Men 50-59 60-69 70-79 80+ Total1950-1959 0 0 1 0 11970-1979 0 0 0 1 11980-1989 0 0 5 0 51990-1999 0 6 6 0 122000 and later 0 9 0 0 9Don't know 0 0 1 0 1Total 0 15 12 1 29Remark: The values range from 1953 to 2003. This table includes those men who report in ep071d08 to have income from private (occupational) old age pension. Women 50-59 60-69 70-79 80+ Total1970-1979 0 0 0 1 11980-1989 0 1 4 0 41990-1999 0 6 2 0 82000 and later 2 1 0 0 3Total 2 7 6 1 17Remark: The values range from 1970 to 2002. This table includes those women who report in ep071d08 to have income from private (occupational) old age pension. Table EP208_8: How many months received income source c8 “For how many months altogether did you receive your income source c8 in 2003?” Men 50-59 60-69 70-79 80+ Total10 0 1 0 0 112 0 14 12 1 28Total 0 15 12 1 29Remark: This table includes those men who report in ep071d08 to have income from private (occupational) old age pension.


192

Women 50-59 60-69 70-79 80+ Total 12 2 6 6 1 16 Don't know 0 1 0 0 1 Total 2 7 6 1 17 Remark: This table includes those women who report in ep071d08 to have income from private (occupational) old age pension. Table EP078e8: Average payment income source c8 “Before taxes, about how large was the average payment of income source c8 in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 0 8 7 0 15 1,000-9,999 0 4 3 1 8 Refusal 0 1 1 0 2 Don't know 0 3 1 0 4 Total 0 15 12 1 29 Remark: This table includes those men who report in ep071d08 to have income from private (occupational) old age pension. Women 50-59 60-69 70-79 80+ Total 0-999 1 5 6 1 13 Refusal 0 1 0 0 1 Don't know 1 2 0 0 3 Total 2 7 6 1 17 Remark: This table includes those women who report in ep071d08 to have income from private (occupational) old age pension. Table EP074_8: Period of income source c8 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 0 14 12 1 28 Other (specify) 0 1 0 0 1 Total 0 15 12 1 29 Remark: This table includes those men who report in ep071d08 to have income from private (occupational) old age pension. Women 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 2 7 6 1 17 Total 2 7 6 1 17 Remark: This table includes those women who report in ep071d08 to have income from private (occupational) old age pension. Table EP081_8: Lump sum payment income source c8 “Did you receive any additional or lump sum (one off) payment from your income source c8?” Men 50-59 60-69 70-79 80+ Total Yes 0 2 1 0 3 No 0 13 11 1 26 Total 0 15 12 1 29 Remark: This table includes those men who report in ep071d08 to have income from private (occupational) old age pension. Women 50-59 60-69 70-79 80+ Total Yes 1 0 2 0 4 No 1 7 4 1 13 Total 2 7 6 1 17 Remark: This table includes those women who report in ep071d08 to have income from private (occupational) old age pension. Table EP082e8: Total amount of lump sum payment income source c8 “Before taxes, about how much did you receive as additional or lump sum payments from income source c8?” Men 50-59 60-69 70-79 80+ Total 1,100 0 0 1 0 1 5,110 0 1 0 0 1 Refusal 0 1 0 0 1 Total 0 2 1 0 3 Remark: This table includes those men who report in ep081_8 to have lump sum payment income from private (occupational) old age pension.

193

Women 50-59 60-69 70-79 80+ Total80 0 0 1 0 1700 0 0 1 0 1Don’t know 1 0 0 0 1Total 1 0 2 0 3Remark: This table includes those women who report in ep081_8 to have lump sum payment income from private (occupational) old age pension. Table EP213_9: First year received income source c9 “In which year did you first receive your income source c9?” Men 50-59 60-69 70-79 80+ Total1990-1999 0 3 0 0 32000 and later 4 3 0 0 6Total 4 5 0 0 9Remark: The values range from 1994 to 2003. This table includes those men who report in ep071d09 to have income from private (occupational) early retirement pension. Women 50-59 60-69 70-79 80+ Total1980-1989 0 0 0 1 1Total 0 0 0 1 1Remark: This table includes this woman who reports in ep071d09 to have income from private (occupational) early retirement pension. Table EP208_9: How many months received income source c9 “For how many months altogether did you receive your income source c9 in 2003?” Men 50-59 60-69 70-79 80+ Total11 1 1 0 0 212 3 4 0 0 7Total 4 5 0 0 9Remark: This table includes those men who report in ep071d09 to have income from private (occupational) early retirement pension. Women 50-59 60-69 70-79 80+ Total12 0 0 0 1 1Total 0 0 0 1 1Remark: This table includes this woman who reports in ep071d09 to have income from private (occupational) early retirement pension. Table EP078e9: Average payment income source c9 “Before taxes, about how large was the average payment of income source c9 in 2003?” Men 50-59 60-69 70-79 80+ Total0-999 0 3 0 0 31,000-9,999 1 1 0 0 210,000-99,999 1 0 0 0 1Refusal 0 1 0 0 1Don't know 1 0 0 0 1Total 4 5 0 0 9Remark: This table includes those men who report in ep071d09 to have income from private (occupational) early retirement pension. Women 50-59 60-69 70-79 80+ Total0-999 0 0 0 1 1Total 0 0 0 1 1Remark: This table includes this woman who reports in ep071d09 to have income from private (occupational) early retirement pension. Table EP074_9: Period of income source c9 “What period did that payment cover?” Men 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 4 5 0 0 9Total 4 5 0 0 9Remark: This table includes those men who report in ep071d09 to have income from private (occupational) early retirement pension.

194

Women 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 0 0 0 1 1 Total 0 0 0 1 1 Remark: This table includes this woman who reports in ep071d09 to have income from private (occupational) early retirement pension. Table EP081_9: Lump sum payment income source c9 “Did you receive any additional or lump sum (one off) payment from your income source c9?” Men 50-59 60-69 70-79 80+ Total Yes 1 1 0 0 2 No 3 4 0 0 7 Total 4 5 0 0 9 Remark: This table includes those men who report in ep071d09 to have income from private (occupational) early retirement pension. Women 50-59 60-69 70-79 80+ Total No 0 0 0 1 1 Total 0 0 0 1 1 Remark: This table includes this woman who report in ep071d09 to have income from private (occupational) early retirement pension. Table EP082e9: Total amount of lump sum payment income source c9 “Before taxes, about how much did you receive as additional or lump sum payments from income source c9?” Men 50-59 60-69 70-79 80+ Total 1,000-9,999 1 1 0 0 2 Total 1 1 0 0 2 Remark: This table includes those men who report in ep081_9 to have received a lump sum payment from private (occupational) early retirement pension. Table EP 208_10: How many months received income source c1010 “For how many months altogether did you receive your income source c10 in 2003?” Women 50-59 60-69 70-79 80+ Total 12 2 0 0 1 3 Total 2 0 0 1 3 Remark: This table includes those women who report in ep071d10 to have income from private (occupational) disability or invalidity insurance. Table EP078e10: Average payment income source c10 “Before taxes, about how large was the average payment of income source c10 in 2003?” Women 50-59 60-69 70-79 80+ Total 180 0 0 0 1 1 900 1 0 0 0 1 1,000 1 0 0 0 1 Total 2 0 0 1 3 Remark: This table includes those women who report in ep071d10 to have income from private (occupational) disability or invalidity insurance. Table EP074_10: Period of income source c10 “What period did that payment cover?” Women 50-59 60-69 70-79 80+ Total Calendar month/4 weeks 2 0 0 1 3 Total 2 0 0 1 3 Remark: This table includes those women who report in ep071d10 to have income from private (occupational) disability or invalidity insurance.

10 In the Austrian dataset no men answered in ep071d10 to have income from private (occupational) disability or invalidity insurance.

195

Table EP081_10: Lump sum payment income source c1011 “Did you receive any additional or lump sum (one off) payment from your income source c10?” Women 50-59 60-69 70-79 80+ TotalNo 2 0 0 1 3Total 2 0 0 1 3Remark: This table includes those women who report in ep071d10 to have income from private (occupational) disability or invalidity insurance. Table EP213_11: First year received income source c1112 “In which year did you first receive your income source c11?” Women 50-59 60-69 70-79 80+ Total1960-1969 0 0 0 1 11970-1979 1 2 2 1 71980-1989 1 2 1 3 81990-1999 3 1 9 4 172000 and later 0 1 1 1 3Total 6 6 13 10 35Remark: The values range from 1968 to 2003. This table includes those women who report in ep071d11 to have income from private (occupational) survivor pension from spouse or partner’s job. Table EP074_11: How many months received income source c11 “For how many months altogether did you receive your income source c11 in 2003?” Women 50-59 60-69 70-79 80+ Total2 0 0 0 1 13 0 1 0 0 112 6 5 13 9 33Total 6 6 13 10 35Remark: This table includes those women who report in ep071d11 to have income from private (occupational) survivor pension from spouse or partner’s job. Table EP078e11: Average payment income source c11 “Before taxes, about how large was the average payment of income source c11 in 2003?” Women 50-59 60-69 70-79 80+ Total0-999 3 3 8 7 211,000-9,999 2 2 4 1 1010,000-99,999 0 1 0 0 1Refusal 0 0 1 0 1Don't know 0 0 0 2 2Total 6 6 13 10 35Remark: This table includes those women who report in ep071d11 to have income from private (occupational) survivor pension from spouse or partner’s job. Table EP074_11: Period of income source c11 “What period did that payment cover?” Women 50-59 60-69 70-79 80+ TotalCalendar month/4 weeks 6 6 13 10 35Total 6 6 13 10 35Remark: This table includes those women who report in ep071d11 to have income from private (occupational) survivor pension from spouse or partner’s job.

11 Since there are no Austrian respondents who answered to have received a lump sum payment from private (occupational) disability or invalidity insurance, variable ep082_10 has only missings. 12 In the Austrian dataset no men answered in ep071d11 to have income from private (occupational) survivor pension from spouse or partner’s job.

196

Table EP081_11: Lump sum payment income source c11 “Did you receive any additional or lump sum (one off) payment from your income source c11?” Women 50-59 60-69 70-79 80+ Total Yes 1 1 2 0 4 No 4 5 11 10 31 Total 6 6 13 10 35 Remark: This table includes those women who report in ep071d11 to have income from private (occupational) survivor pension from spouse or partner’s job.

Table EP082e11: Total amount of lump sum payment income source c11 “Before taxes, about how much did you receive as additional or lump sum payments from income source c11?” Women 50-59 60-69 70-79 80+ Total 700 1 0 0 0 1 1,000 0 0 1 0 1 1,740 0 1 0 0 1 2,800 0 0 1 0 1 Total 1 1 2 0 4 Remark: This table includes those women who report in ep081_11 to have received lump sum payment from income from private (occupational) survivor pension from spouse or partner’s job. Table EP085: Receive care insurance payments “Did you receive regular payments from a long-term care insurance in 2003?” Men 50-59 60-69 70-79 80+ Total Yes 4 3 8 3 18 No 128 94 137 48 407 Total 131 98 145 51 425 Remark: This table includes those men who are older than 70 years or who report in ph004 to have a long-term illness. Women 50-59 60-69 70-79 80+ Total Yes 5 3 10 17 34 No 124 118 239 115 595 Refusal 0 1 0 0 1 Don't know 0 0 1 0 1 Total 128 121 250 132 631 Remark: This table includes those women who are older than 70 years or who report in ph004 to have a long-term illness. Table EP086e: Amount of care insurance “How much do you get each month from long-term care insurance?” Men 50-59 60-69 70-79 80+ Total 0-99 0 0 1 0 1 100-199 2 1 4 1 8 200-299 0 0 2 2 4 400-499 1 1 0 0 2 600-699 0 1 0 0 1 800-899 0 1 0 0 1 Don't know 0 0 1 0 1 Total 4 3 8 3 18 Remark: This table includes those men who report in ep085 to receive care insurance payments.

197

Women 50-59 60-69 70-79 80+ Total0-99 0 0 1 1 2100-199 2 1 2 3 9200-299 1 1 2 7 11300-399 0 0 1 2 3400-499 0 1 1 1 3600-699 0 0 2 0 2800-899 1 0 0 0 1Don't know 0 0 0 2 2Total 4 3 10 16 33Remark: This table includes those women who report in ep085 to receive care insurance payments. Table EP087: Apply for care insurance “Did you ever apply for payments from long-term care insurance?” Men 50-59 60-69 70-79 80+ TotalYes 1 0 2 0 3No 125 94 135 48 403Don't know 1 0 0 0 1Total 128 94 137 48 407Remark: This table includes those men who report in ep085 not to receive care insurance payments. Women 50-59 60-69 70-79 80+ TotalYes 0 1 4 10 15No 124 116 235 106 581Total 124 118 239 115 596Remark: This table includes those women who report in ep085 not to receive care insurance payments. Table EP88: Application rejected or pending “Was your application rejected or is it still pending?” Men 50-59 60-69 70-79 80+ TotalPending 1 0 2 0 3Total 1 0 2 0 3Remark: This table includes those men who report in ep087 to have applied for care insurance. Women 50-59 60-69 70-79 80+ TotalRejected 0 1 2 2 5Pending 0 1 2 7 10Total 0 1 4 9 15Remark: This table includes those women who report in ep087 to have applied for care insurance. Table EP089d1: Regular payment received c1 “Please look at card 25. Did you receive any of the following regular payments or transfers during the year 2003?” (Life insurance payment) Men 50-59 60-69 70-79 80+ TotalNot selected 333 248 160 50 791Selected 5 6 4 2 17Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 375 301 279 136 1,092Selected 3 5 2 0 10Total 378 306 281 136 1,102

198

Table EP089d2: Regular payment received c2 “Please look at card 25. Did you receive any of the following regular payments or transfers during the year 2003?” (Private annuity/Private personal pension) Men 50-59 60-69 70-79 80+ Total Not selected 336 247 163 52 798 Selected 2 7 1 0 10 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 304 279 135 1,094 Selected 2 2 2 1 8 Total 378 306 281 136 1,102 Table EP89d3: Regular payment received c3 “Please look at card 25. Did you receive any of the following regular payments or transfers during the year 2003?” (Private health insurance payment) Men 50-59 60-69 70-79 80+ Total Not selected 333 254 162 51 800 Selected 5 0 2 1 8 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 304 278 135 1,094 Selected 1 2 3 1 8 Total 378 306 281 136 1,102 Table EP089d4: Regular payment received c4 “Please look at card 25. Did you receive any of the following regular payments or transfers during the year 2003?”(Alimony) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 373 300 277 136 1,086 Selected 6 6 5 0 16 Total 378 306 281 136 1,102 Table EP089d5: Regular payment received c5 “Please look at card 25. Did you receive any of the following regular payments or transfers during the year 2003?” (Regular payments from charities) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 163 52 806 Selected 0 1 1 0 2 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 304 281 134 1,098 Selected 0 2 0 2 4 Total 378 306 281 136 1,102

199

Table EP096_1: Months received payment c1 “For how many months altogether did you receive payment c1 in 2003?” Men 50-59 60-69 70-79 80+ Total1 5 4 0 0 912 0 2 4 1 7Don't know 0 0 0 1 1Total 5 6 4 2 17Remark: This table includes those men who report in ep089d1 to have received regular payments from life insurance. Women 50-59 60-69 70-79 80+ Total1 0 2 1 0 412 2 2 1 0 6Don't know 1 0 0 0 1Total 4 5 2 0 11Remark: This table includes those women who report in ep089d1 to have received regular payments from life insurance. Table EP094e1: Total amount payment c1 “Before any taxes and contributions, about how large was the average payment of payment c1?” Men 50-59 60-69 70-79 80+ Total0-999 1 2 0 0 31,000-9,999 0 2 0 0 210,000-99,999 3 2 2 0 6Refusal 0 1 1 0 2Don't know 1 0 1 2 4Total 5 6 4 2 17Remark: This table includes those men who report in ep089d1 to have received regular payments from life insurance. Women 50-59 60-69 70-79 80+ Total0-999 0 1 1 0 21,000-9,999 1 0 0 0 110,000-99,999 0 2 1 0 3Refusal 2 2 0 0 4Don't know 0 1 0 0 1Total 4 5 2 0 11Remark: This table includes those women who report in ep089d1 to have received regular payments from life insurance. Table EP090_1: Period received payment c1 “Which period did that payment cover?” Men 50-59 60-69 70-79 80+ TotalCalender month/4 weeks 0 3 2 1 6Full year/12 months/52 weeks 1 2 2 0 6Other (specify) 4 1 0 1 6Total 5 6 4 2 17Remark: This table includes those men who report in ep089d1 to have received regular payments from life insurance. Women 50-59 60-69 70-79 80+ TotalCalender month/4 weeks 1 2 1 0 4Three months/13 weeks 0 0 1 0 1Full year/12 months/52 weeks 2 1 0 0 3Other (specify) 0 2 0 0 2Total 4 5 2 0 11Remark: This table includes those women who report in ep089d1 to have received regular payments from life insurance. Table EP092_1: Additional payments, payment c1 “For your payment c1, did you get additional or lump sum payments in 2003?” Men 50-59 60-69 70-79 80+ TotalYes 0 0 1 0 1No 5 6 3 2 16Total 5 6 4 2 17Remark: This table includes those men who report in ep089d1 to have received regular payments from life insurance.

200 Women 50-59 60-69 70-79 80+ Total No 4 5 2 0 11 Total 4 5 2 0 11 Remark: This table includes those women who report in ep089d1 to have received regular payments from life insurance. Table EP209e1: Amount additional payment c1 before taxes13 “Before taxes and contributions, about how much did you get in additional payments?” Men 50-59 60-69 70-79 80+ Total Don’t know 0 0 1 0 1 Total 0 0 1 0 1 Remark: This table includes this man who reports in ep092_1 to have received additional payments to a life insurance. Table EP096_2: Months received payment c2 “For how many months altogether did you receive payment c2 in 2003?” Men 50-59 60-69 70-79 80+ Total 1 0 1 0 0 1 12 2 8 1 0 11 Total 2 8 1 0 12 Remark: This table includes those men who report in ep089d2 to have received regular payments from private annuity or from a private personal pension. Women 50-59 60-69 70-79 80+ Total 12 2 2 2 1 7 Don't know 0 1 0 0 1 Total 2 2 2 1 8 Remark: This table includes those women who report in ep089d2 to have received regular payments from private annuity or from a private personal pension. Table EP094e2: Total amount payment c2 “Before any taxes and contributions, about how large was the average payment of payment c2?” Men 50-59 60-69 70-79 80+ Total 0-999 2 3 0 0 5 1,000-9,999 0 3 1 0 4 Refusal 0 2 0 0 2 Don't know 0 1 0 0 1 Total 2 8 1 0 12 Remark: This table includes those men who report in ep089d2 to have received regular payments from private annuity or from a private personal pension. Women 50-59 60-69 70-79 80+ Total 0-999 0 1 2 1 4 1,000-9,999 2 1 0 0 3 Don't know 0 1 0 0 1 Total 2 2 2 1 8 Remark: This table includes those women who report in ep089d2 to have received regular payments from private annuity or from a private personal pension.

Table EP090_2: Period received payment c2 “Which period did that payment cover?” Men 50-59 60-69 70-79 80+ Total Calender month/4 weeks 1 8 1 0 10 Full year/12 months/52 weeks 0 1 0 0 1 Other (specify) 1 0 0 0 1 Total 2 8 1 0 12 Remark: This table includes those men who report in ep089d2 to have received regular payments from private annuity or from a private personal pension.

13 Since there are no women in the Austrian dataset who answered to have received additional payments to a life insurance, variable ep209e1 has only missings for women.

201

Women 50-59 60-69 70-79 80+ TotalCalender month/4 weeks 2 2 1 1 7Other (specify) 0 0 1 0 1Total 2 2 2 1 8Remark: This table includes those women who report in ep089d2 to have received regular payments from private annuity or from a private personal pension. Table EP092_2: Additional payments, payment c2 “For your payment c2, did you get additional or lump sum payments in 2003?” Men 50-59 60-69 70-79 80+ TotalYes 0 1 0 0 1No 2 8 1 0 11Total 2 8 1 0 12Remark: This table includes those men who report in ep089d2 to have received regular payments from private annuity or from a private personal pension. Women 50-59 60-69 70-79 80+ TotalYes 1 0 0 0 1No 1 2 2 1 7Total 2 2 2 1 8Remark: This table includes those women who report in ep089d2 to have received regular payments from private annuity or from a private personal pension. Table EP209e2: Amount additional payment c2 before taxes “Before taxes and contributions, about how much did you get in additional payments?” Men 50-59 60-69 70-79 80+ Total2 0 1 0 0 1Total 0 1 0 0 1Remark: This table includes this man who reports in ep092_2 to have received additional payments to a private annuity or to a private personal pension. Women 50-59 60-69 70-79 80+ Total1,500 1 0 0 0 1Total 1 0 0 0 1Remark: This table includes this woman who reports in ep092_2 to have received additional payments to a private annuity or to a private personal pension. Table EP096_3: Months received payment c3 “For how many months altogether did you receive payment c3 in 2003?” Men 50-59 60-69 70-79 80+ Total1 4 0 0 1 512 0 0 2 0 2Total 4 0 2 1 7Remark: This table includes those men who report in ep089d3 to have received regular payments from private health insurance. Women 50-59 60-69 70-79 80+ Total1 1 2 2 1 612 0 1 1 0 2Total 1 2 3 1 8Remark: This table includes those women who report in ep089d3 to have received regular payments from private health insurance. Table EP094e3: Total amount payment c3 “Before any taxes and contributions, about how large was the average payment of payment c3?” Men 50-59 60-69 70-79 80+ Total0-999 0 0 2 1 31,000-9,999 2 0 0 0 2Don't know 2 0 0 0 2Total 4 0 2 1 7Remark: This table includes those men who report in ep089d3 to have received regular payments from private health insurance.

202

Women 50-59 60-69 70-79 80+ Total 0-999 1 2 3 1 8 Total 1 2 3 1 8 Remark: This table includes those women who report in ep089d3 to have received regular payments from private health insurance. Table EP090_3: Period received payment c3 “Which period did that payment cover?” Men 50-59 60-69 70-79 80+ Total One week 0 0 0 1 1 Calender month/4 weeks 0 0 1 0 1 Full year/12 months/52 weeks 1 0 1 0 2 Other (specify) 3 0 0 0 3 Total 4 0 2 1 7 Remark: This table includes those men who report in ep089d3 to have received regular payments from private health insurance. Women 50-59 60-69 70-79 80+ Total Calender month/4 weeks 0 0 1 0 1 Full year/12 months/52 weeks 0 2 0 0 2 Other (specify) 1 1 2 1 5 Total 1 2 3 1 8 Remark: This table includes those women who report in ep089d3 to have received regular payments from private health insurance. Table EP092_3: Additional payments, payment c3 “For your payment c3, did you get additional or lump sum payments in 2003?” Men 50-59 60-69 70-79 80+ Total No 4 0 2 1 7 Total 4 0 2 1 7 Remark: This table includes those men who report in ep089d3 to have received regular payments from private health insurance. Women 50-59 60-69 70-79 80+ Total Yes 0 1 0 0 1 No 1 2 3 1 7 Total 1 2 3 1 8 Remark: This table includes those women who report in ep089d3 to have received regular payments from private health insurance. Table EP209e3:14 Amount additional payment c3 before taxes “Before taxes and contributions, about how much did you get in additional payments?” Women 50-59 60-69 70-79 80+ Total Don’t know 0 1 0 0 1 Total 0 1 0 0 1 Remark: This table includes this woman who reports in ep092_3 to have received addional payments to a private health insurance. Table EP096_4: Months received payment c415 “For how many months altogether did you receive payment c4 in 2003?” Women 50-59 60-69 70-79 80+ Total 7 0 0 1 0 1 12 6 6 3 0 15 Total 6 6 4 0 16 Remark: This table includes those women who report in ep089d4 to have received regular payments alimony.

14 Since there are no men in the Austrian dataset who answered to have received additional payments to a private health insurance, variable ep209e3 has only missings for men. 15 In the Austrian dataset there are men who received regularly alimony payments (c4).

203

Table EP094e4: Total amount payment c4 “Before any taxes and contributions, about how large was the average payment of payment c4?” Women 50-59 60-69 70-79 80+ Total0-999 3 3 3 0 101,000-9,999 1 2 1 0 410,000-99,999 1 1 0 0 2Total 6 6 4 0 16Remark: This table includes those women who report in ep089d4 to have received regular payments alimony. Table EP090_4: Period received payment c4 “Which period did that payment cover?” Women 50-59 60-69 70-79 80+ TotalTwo weeks 0 0 1 0 1Calender month/4 weeks 6 5 3 0 14Full year/12 months/52 weeks 0 1 0 0 1Total 6 6 4 0 16Remark: This table includes those women who report in ep089d4 to have received regular payments alimony. Table EP092_4: Additional payments, payment c4 “For your payment c4, did you get additional or lump sum payments in 2003?” Women 50-59 60-69 70-79 80+ TotalNo 6 6 4 0 16Total 6 6 4 0 16Remark: This table includes those women who report in ep089d4 to have received regular payments alimony. Table EP096_5: Months received payment c5 “For how many months altogether did you receive payment c5 in 2003?” Men 50-59 60-69 70-79 80+ Total12 0 1 1 0 2Total 0 1 1 0 2Remark: This table includes those men who report in ep089d5 to have received regular payments from charities. Women 50-59 60-69 70-79 80+ Total12 0 2 0 2 4Total 0 2 0 2 4Remark: This table includes those women who report in ep089d5 to have received regular payments from charities. Table EP094e5: Total amount payment c5 “Before any taxes and contributions, about how large was the average payment of payment c5?” Men 50-59 60-69 70-79 80+ Total950 0 1 0 0 12,000 0 0 1 0 1Total 0 1 1 0 2Remark: This table includes those men who report in ep089d5 to have received regular payments from charities. Women 50-59 60-69 70-79 80+ Total0 0 1 0 1 220 0 0 0 1 1680 0 1 0 0 1Total 0 2 0 2 4Remark: This table includes those women who report in ep089d5 to have received regular payments from charities.

204

Table EP090_5: Period received payment c5 “Which period did that payment cover?” Men 50-59 60-69 70-79 80+ Total Calender month/4 weeks 0 1 1 0 2 Total 0 1 1 0 2 Remark: This table includes those men who report in ep089d5 to have received regular payments from charities. Women 50-59 60-69 70-79 80+ Total Calender month/4 weeks 0 0 0 1 1 Three months/13 weeks 0 0 0 1 1 Full year/12 months/52 weeks 0 1 0 0 1 Other (specify) 0 1 0 0 1 Total 0 2 0 2 4 Remark: This table includes those women who report in ep089d5 to have received regular payments from charities. Table EP092_5: Additional payments, payment c5 “For your payment c5, did you get additional or lump sum payments in 2003?” Men 50-59 60-69 70-79 80+ Total Yes 0 0 1 0 1 No 0 1 0 0 1 Total 0 1 1 0 2 Remark: This table includes those men who report in ep092_5 to have received regular payments from charities. Women 50-59 60-69 70-79 80+ Total Yes 0 1 0 0 1 No 0 1 0 2 3 Total 0 2 0 2 4 Remark: This table includes those women who report in ep092_5 to have received regular payments from charities. Table EP209e5: Amount additional payment c5 before taxes “Before taxes and contributions, about how much did you get in additional payments?” Men 50-59 60-69 70-79 80+ Total 2000 0 0 1 0 1 Total 0 0 1 0 1 Remark: This table includes this man who reports in ep089d5 to have received additional payments to charities. Women 50-59 60-69 70-79 80+ Total 2200 0 1 0 0 1 Total 0 1 0 0 1 Remark: This table includes this woman who reports in ep089d5 to have received additional payments to charities.

Table EP098d1: Entitled to pension c1 “Which type of pension are you entitled to?” (Public old age pension) Men 50-59 60-69 70-79 80+ Total Not selected 124 230 159 51 565 Selected 213 24 5 1 243 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 232 288 272 130 922 Selected 146 18 9 7 180 Total 378 306 281 136 1,102

205

Table EP098d2: Entitled to pension c2 “Which type of pension are you entitled to?” (Public early retirement or pre-retirement pension) Men 50-59 60-69 70-79 80+ TotalNot selected 333 250 164 52 800Selected 5 4 0 0 8Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 360 306 281 136 1,083Selected 19 0 0 0 19Total 378 306 281 136 1,102 Table EP098d3: Entitled to pension c3 “Which type of pension are you entitled to?”(Public disability insurance; sickness/invalidity/incapacity pension) Men 50-59 60-69 70-79 80+ TotalNot selected 326 252 163 51 792Selected 11 2 1 1 16Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 304 281 135 1,096Selected 2 2 0 1 6Total 378 306 281 136 1,102 Table EP098d4: Entitled to pension c4 “Which type of pension are you entitled to?” (Private (occupational) old age pension) Men 50-59 60-69 70-79 80+ TotalNot selected 310 249 164 51 775Selected 28 5 0 1 33Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 365 304 281 136 1,086Selected 14 2 0 0 16Total 378 306 281 136 1,102 Table EP098d5: Entitled to pension c5 “Which type of pension are you entitled to?” (Private (occupational) early retirement pension) Men 50-59 60-69 70-79 80+ TotalNot selected 337 253 164 52 806Selected 1 1 0 0 2Total 338 254 164 52 808Women 50-59 60-69 70-79 80+ TotalNot selected 376 306 281 136 1,100Selected 2 0 0 0 2Total 378 306 281 136 1,102 Table EP098d6: Entitled to pension c6 “Which type of pension are you entitled to?” Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

206

Table EP098d7: Entitled to pension c7 “Which type of pension are you entitled to?” Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table EP099_1: Pension c1 with/without health insurance “Does your pension include also health insurance?” Men 50-59 60-69 70-79 80+ Total Pension only 20 3 0 0 24 Pension and health insurance 161 17 4 1 183 Don't know 1 0 0 0 1 Total 183 20 4 1 208 Remark: This table includes those men who report in ep098d1 to be entitled to public old age pension. Women 50-59 60-69 70-79 80+ Total Pension only 18 3 3 1 25 Pension and health insurance 116 14 5 5 140 Total 134 17 8 6 165 Remark: This table includes those women who report in ep098d1 to be entitled to public old age pension. Table EP100_1: Percentage of salary to pension c1 “In total, what percentage of your current gross earnings goes towards your pension?” Men 50-59 60-69 70-79 80+ Total 0-9 17 0 0 0 17 10-19 33 2 0 0 35 20-29 12 1 0 0 14 30-39 8 0 0 0 8 40-49 2 0 0 0 2 50-59 1 0 0 0 1 60-69 2 0 0 0 2 80-89 5 0 0 0 5 90-99 1 0 0 0 1 Refusal 7 1 0 0 8 Don't know 55 3 0 0 58 Total 145 7 0 0 152 Remark: This table includes those men who report in ep098d1 to be entitled to public old age pension and who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total 0-9 6 0 0 0 6 10-19 22 3 0 0 24 20-29 7 1 0 0 9 30-39 2 0 0 0 2 40-49 1 0 0 0 1 50-59 1 0 0 0 1 70-79 1 0 0 0 1 80-89 2 0 0 0 2 100 1 0 0 0 1 Refusal 4 0 0 0 4 Don't know 45 2 1 0 48 Total 92 6 1 0 99 Remark: This table includes those women who report in ep098d1 to be entitled to public old age pension and who report in ep005 to be employed or self-employed.

207

Table EP102_1: Compulsory of voluntary plan or fund “Is participation in this pension compulsory or voluntary?” Men 50-59 60-69 70-79 80+ TotalCompulsory 176 18 4 1 199Voluntary 7 2 0 0 9Total 183 20 4 1 208Remark: This table includes those men who report in ep098d1 to be entitled to public old age pension. Women 50-59 60-69 70-79 80+ TotalCompulsory 129 15 6 4 153Voluntary 5 2 1 2 10Don't know 0 0 1 0 1Total 134 17 8 6 165Remark: This table includes those women who report in ep098d1 to be entitled to public old age pension. Table EP103_1: Years contributing to plan, pension c1 “How many years have you been contributing to your pension?” Men 50-59 60-69 70-79 80+ Total0-9 2 1 0 0 310-19 3 1 0 0 520-29 16 2 0 0 1830-39 100 4 1 0 10540-49 50 11 3 1 65Refusal 1 1 0 0 1Don't know 10 1 0 0 11Total 183 20 4 1 208Remark: The values range from 0 to 47. This table includes those men who report in ep098d1 to be entitled to public old age pension. Women 50-59 60-69 70-79 80+ Total0-9 7 2 2 1 1310-19 18 2 1 1 2220-29 34 2 2 0 3830-39 58 6 0 2 6540-49 5 5 2 0 12Don't know 12 0 1 2 15Total 134 17 8 6 165Remark: The values range from 0 to 45. This table includes those women who report in ep098d1 to be entitled to public old age pension. Table EP104_1: retirement age in pension c1 “In this pension, what is the regular age at which you start receiving payments?” Men 50-59 60-69 70-79 80+ Total0-9 1 0 0 0 140-49 0 0 1 0 150-59 5 0 1 0 660-69 175 19 2 1 19770-79 0 1 1 0 2Don't know 1 0 0 0 1Total 183 20 4 1 208Remark: The values range from 0 to 75. Unplausible values have to be excluded for further analyses. This table includes those men who report in ep098d1 to be entitled to public old age pension. Women 50-59 60-69 70-79 80+ Total30-39 1 0 0 0 150-59 22 3 1 1 2760-69 109 13 4 4 13070-79 0 1 0 0 1Don't know 2 0 3 1 6Total 134 17 8 6 165Remark: The values range from 35 to 70. This table includes those women who report in ep098d1 to be entitled to public old age pension.

208

Table EP105_1: Early retirement possibility, pension c1 “Does this pension offer the possibility to receive payments before the regular age?” Men 50-59 60-69 70-79 80+ Total Yes 100 14 2 0 116 No 80 5 2 1 88 Don't know 3 1 1 0 5 Total 183 20 4 1 208 Remark: This table includes those men who report in ep098d1 to be entitled to public old age pension.

Women 50-59 60-69 70-79 80+ Total Yes 55 11 3 4 73 No 78 6 3 2 89 Don't know 1 0 2 0 3 Total 134 17 8 6 165 Remark: This table includes those women who report in ep098d1 to be entitled to public old age pension.

Table EP106_1: Expected age to collect pension c1 “At what age do you expect to collect this pension?” Men 50-59 60-69 70-79 80+ Total 0-9 2 0 0 0 2 50-59 11 0 0 0 11 60-69 164 17 1 0 183 70-79 0 2 3 0 5 90-99 1 0 0 0 1 Don't know 4 1 1 1 7 Total 183 20 4 1 208 Remark: The values range from 0 to 99. Unplausible values have to be excluded for further analyses. This table includes those men who report in ep098d1 to be entitled to public old age pension.

Women 50-59 60-69 70-79 80+ Total 50-59 37 1 1 0 39 60-69 93 13 0 1 107 70-79 2 2 5 0 9 80-89 0 0 1 3 4 Don't know 2 1 1 2 6 Total 134 17 8 6 165 Remark: The values range from 54 to 85. This table includes those women who report in ep098d1 to be entitled to public old age pension.

Table EP107_1: Expect lump sum payment with pension c1 “Do you expect to receive a lup sum (one off) payment with this pension?” Men 50-59 60-69 70-79 80+ Total Yes 92 5 0 1 98 No 90 15 4 0 109 Refusal 1 0 0 0 1 Total 183 20 4 1 208 Remark: This table includes those men who report in ep098d1 to be entitled to public old age pension.

Women 50-59 60-69 70-79 80+ Total Yes 61 5 1 2 69 No 72 12 7 4 96 Total 134 17 8 6 165 Remark: This table includes those women who report in ep098d1 to be entitled to public old age pension.

Table EP108e1: Amount lump sum payment at retirement, pension c1 “How much do you expect to receive as a lump sum payment when you collect this pension?” Men 50-59 60-69 70-79 80+ Total 0-999 9 1 0 0 10 1,000-9,999 10 0 0 0 10 10,000-99,999 32 1 0 0 33 100,000-999,999 1 1 0 0 2 Refusal 7 1 0 0 9 Don't know 29 1 0 1 31 Total 89 5 0 1 95 Remark: This table includes those men who report in ep107_1 to expect to receive a lump sum payment to public old age pension.

209

Women 50-59 60-69 70-79 80+ Total0-999 5 0 0 0 51,000-9,999 16 1 1 0 1910,000-99,999 13 2 0 1 16100,000-999,999 0 1 0 0 1Refusal 5 0 0 0 5Don't know 21 1 0 1 23Total 60 5 1 2 68Remark: This table includes those women who report in ep107_1 to expect to receive a lump sum payment to public old age pension. Table EP109_1: Percentage of salary received as pension c1 “Thinking about the year when you will collect this pension, approximately, what percentage of your earnings will your pension amount to?” Men 50-59 60-69 70-79 80+ Total0-9 4 1 0 0 510-19 1 1 0 0 220-29 1 0 0 0 130-39 0 1 0 0 140-49 2 0 0 0 250-59 2 0 0 0 260-69 13 0 0 0 1370-79 39 0 0 0 3980-89 58 3 0 0 61Refusal 2 0 0 0 2Don't know 22 3 0 0 24Total 145 7 0 0 152Remark: This table includes those men who report in ep098d1 to be entitled to public old age pension and who report in ep005 to be employed or self-employed. The values (percentages) range fom 0 to 100. Women 50-59 60-69 70-79 80+ Total0-9 3 0 0 0 330-39 0 1 0 0 140-49 1 0 0 0 160-69 20 2 0 0 2270-79 20 1 0 0 2180-89 21 0 0 0 21100 3 0 0 0 3Refusal 4 1 0 0 5Don't know 21 1 1 0 23Total 92 6 1 0 99Remark: This table includes those women who report in ep098d1 to be entitled to public old age pension and who report in ep005 to be employed or self-employed. The values (percentages) range fom 0 to 100.

Table EP099_2: Pension c2 with/without health insurance “Does your pension include also health insurance?” Men 50-59 60-69 70-79 80+ TotalPension only 3 2 0 0 4Pension and health insurance 2 3 0 0 5Total 5 4 0 0 9Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ TotalPension only 2 0 0 0 2Pension and health insurance 14 0 0 0 14Total 16 0 0 0 16Remark: This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension.

210

Table EP100_2: Percentage of salary to pension c2 “In total, what percentage of your current gross earnings goes towards your pension?” Men 50-59 60-69 70-79 80+ Total 0-9 0 1 0 0 1 Don't know 1 0 0 0 1 Total 1 1 0 0 2 Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension and who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total 0-9 2 0 0 0 2 50-59 1 0 0 0 1 Don't know 2 0 0 0 2 Total 5 0 0 0 5 Remark: This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension and who report in ep005 to be employed or self-employed. Table EP102_2: Compulsory or voluntary plan or fund, pension c2 “Is participation in this pension compulsory or voluntary?” Men 50-59 60-69 70-79 80+ Total Compulsory 1 3 0 0 4 Voluntary 3 1 0 0 3 Don't know 1 0 0 0 1 Total 5 4 0 0 9 Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total Compulsory 13 0 0 0 13 Voluntary 2 0 0 0 2 Don't know 1 0 0 0 1 Total 16 0 0 0 16 Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Table EP103_2: Years contributing to plan, pension c2 “How many years have you been contributing to your pension?” Men 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 30-39 0 1 0 0 1 40-49 1 3 0 0 4 Don't know 3 0 0 0 3 Total 5 4 0 0 9 Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total 0-9 2 0 0 0 2 10-19 1 0 0 0 1 20-29 4 0 0 0 4 30-39 6 0 0 0 6 40-49 1 0 0 0 1 Don't know 2 0 0 0 2 Total 16 0 0 0 16 Remark: This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Table EP104_2: retirement age in pension c2 “In this pension, what is the regular age at which you start receiving payments?” Men 50-59 60-69 70-79 80+ Total 60-69 2 3 0 0 6 Refusal 0 1 0 0 1 Don't know 3 0 0 0 3 Total 5 4 0 0 9 Remark: The values range from 60 to 65. This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension.

211

Women 50-59 60-69 70-79 80+ Total50-59 3 0 0 0 360-69 12 0 0 0 12Don't know 1 0 0 0 1Total 16 0 0 0 16Remark: The values range from 55 to 60. This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Table EP105_2: Early retirement possibility, pension c2 “Does this pension offer the possibility to receive payments before the regular age?” Men 50-59 60-69 70-79 80+ TotalYes 1 4 0 0 5No 4 0 0 0 4Total 5 4 0 0 9Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ TotalYes 12 0 0 0 12No 4 0 0 0 4Total 16 0 0 0 16Remark: This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Table EP106_2: expected age to collect pension c2 “At what age do you expect to collect this pension?” Men 50-59 60-69 70-79 80+ Total50-59 3 1 0 0 360-69 2 3 0 0 5Refusal 0 1 0 0 1Total 5 4 0 0 9Remark: The values range from 55 to 65. This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total50-59 12 0 0 0 1260-69 4 0 0 0 4Total 16 0 0 0 16Remark: The values range from 52 to 60. This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Table EP107_2: Expect lump sum payment with pension c2 “Do you expect to receive a lup sum (one off) payment with this pension?” Men 50-59 60-69 70-79 80+ TotalYes 1 2 0 0 3No 2 3 0 0 5Don't know 1 0 0 0 1Total 5 4 0 0 9Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ TotalYes 6 0 0 0 6No 10 0 0 0 10Total 16 0 0 0 16Remark: This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension.

212

Table EP108e2: Amount lump sum payment at retirement, pension c2 “How much do you expect to receive as a lump sum payment when you collect this pension?” Men 50-59 60-69 70-79 80+ Total 0-999 0 1 0 0 1 Don't know 1 1 0 0 2 Total 1 2 0 0 3 Remark: This table includes those men who report in ep107_2 to expect to receive a lump sum payment to public early retirement or pre-retirement pension. Women 50-59 60-69 70-79 80+ Total 1,000-9,999 3 0 0 0 3 Refusal 2 0 0 0 2 Don't know 1 0 0 0 1 Total 6 0 0 0 6 Remark: This table includes those women who report in ep107_2 to expect to receive a lump sum payment to public early retirement or pre-retirement pension. Table EP109_2: Percentage of salary received as pension c2 “Thinking about the year when you will collect this pension, approximately, what percentage of your earnings will your pension amount to?” Men 50-59 60-69 70-79 80+ Total 30 0 1 0 0 1 Don't know 1 0 0 0 1 Total 1 1 0 0 2 Remark: This table includes those men who report in ep098d2 to be entitled to public early retirement or pre-retirement pension and who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total 50 2 0 0 0 2 80 1 0 0 0 1 Don't know 2 0 0 0 2 Total 5 0 0 0 5 Remark: This table includes those women who report in ep098d2 to be entitled to public early retirement or pre-retirement pension and who report in ep005 to be employed or self-employed. Table EP099_3: Pension c3 with/without health insurance “Does your pension include also health insurance?” Men 50-59 60-69 70-79 80+ Total Pension only 2 0 1 0 3 Pension and health insurance 8 2 0 1 11 Total 10 2 1 1 14 Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance. Women 50-59 60-69 70-79 80+ Total Pension only 0 1 0 1 2 Pension and health insurance 2 2 0 0 4 Total 2 2 0 1 6 Remark: This table includes those women who report in ep098d3 to be entitled to public disability insurance. Table EP100_3: Percentage of salary to pension c316 “In total, what percentage of your current gross earnings goes towards your pension?” Men 50-59 60-69 70-79 80+ Total 3 1 0 0 0 1 Don't know 3 0 0 0 3 Total 4 0 0 0 4 Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance and who report in ep005 to be employed or self-employed.

16 In the Austrian dataset there are no women who report in ep098d3 to be entitled to public disability insurance and who report in ep005 to be employed or self-employed.

213

Table EP102_3: Compulsory or voluntary plan or fund, pension c3 “Is participation in this pension compulsory or voluntary?” Men 50-59 60-69 70-79 80+ TotalCompulsory 9 2 1 1 13Voluntary 1 0 0 0 1Total 10 2 1 1 14Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance. Women 50-59 60-69 70-79 80+ TotalCompulsory 2 2 0 1 5Don't know 0 1 0 0 1Total 2 2 0 1 6Remark: This table includes those women who report in ep098d3 to be entitled to public disability insurance. Table EP103_3: Years contributing to plan, pension c3 “How many years have you been contributing to your pension?” Men 50-59 60-69 70-79 80+ Total10-19 0 0 0 1 120-29 1 0 0 0 130-39 3 0 1 0 440-49 4 1 0 0 6Don't know 1 1 0 0 2Total 10 2 1 1 14Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance. Women 50-59 60-69 70-79 80+ Total10-19 1 1 0 0 220-29 0 1 0 0 140-49 1 0 0 0 1Don't know 0 1 0 1 2Total 2 2 0 1 6Remark: This table includes those women who report in ep098d3 to be entitled to public disability insurance. Table EP104_3: retirement age in pension c3 “In this pension, what is the regular age at which you start receiving payments?” Men 50-59 60-69 70-79 80+ Total50-59 1 0 0 0 160-69 8 1 1 1 11Don't know 1 1 0 0 2Total 10 2 1 1 14Remark: The values range from 57 to 65. This table includes those men who report in ep098d3 to be entitled to public disability insurance. Women 50-59 60-69 70-79 80+ Total40-49 0 1 0 0 150-59 1 0 0 0 160-69 1 2 0 1 4Total 2 2 0 1 6Remark: The values range from 40 to 62. This table includes those women who report in ep098d3 to be entitled to public disability insurance. Table EP105_3: Early retirement possibility, pension c3 “Does this pension offer the possibility to receive payments before the regular age?” Men 50-59 60-69 70-79 80+ TotalYes 6 2 1 1 10No 4 0 0 0 4Total 10 2 1 1 14Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance.

214

Women 50-59 60-69 70-79 80+ Total Yes 2 2 0 1 5 No 0 1 0 0 1 Total 2 2 0 1 6 Remark: This table includes those women who report in ep098d3 to be entitled to public disability insurance. Table EP106_3: Expected age to collect pension c3 “At what age do you expect to collect this pension?” Men 50-59 60-69 70-79 80+ Total 20-29 0 0 0 1 1 50-59 6 0 0 0 6 60-69 3 2 0 0 5 100-109 0 0 1 0 1 Don't know 1 0 0 0 1 Total 10 2 1 1 14 Remark: The values range from 28 to 100. Unplausible values have to be excluded for further analyses. This table includes those men who report in ep098d3 to be entitled to public disability insurance. Women 50-59 60-69 70-79 80+ Total 50-59 2 0 0 0 2 60-69 0 2 0 0 2 80-89 0 1 0 0 1 Don't know 0 0 0 1 1 Total 2 2 0 1 6 Remark: The values range from 56 to 80. This table includes those women who report in ep098d3 to be entitled to public disability insurance.

Table EP107_3: Expect lump sum payment with pension c3 “Do you expect to receive a lup sum (one off) payment with this pension?” Men 50-59 60-69 70-79 80+ Total Yes 1 1 1 0 3 No 9 1 0 1 11 Total 10 2 1 1 14 Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance. Women 50-59 60-69 70-79 80+ Total Yes 0 1 0 1 2 No 2 2 0 0 4 Total 2 2 0 1 6 Remark: This table includes those women who report in ep098d3 to be entitled to public disability insurance. Table EP108e3: Amount lump sum payment at retirement, pension c3 “How much do you expect to receive as a lump sum payment when you collect this pension?” Men 50-59 60-69 70-79 80+ Total 18,000 0 1 0 0 1 54,000 1 0 0 0 1 Don't know 0 0 1 0 1 Total 1 1 1 0 3 Remark: This table includes those men who report in ep107_3 to expect to receive a lump sum payment to public disability insurance. Women 50-59 60-69 70-79 80+ Total 1,000 0 1 0 0 1 Don't know 0 0 0 1 1 Total 0 1 0 1 2 Remark: This table includes those women who report in ep107_3 to expect to receive a lump sum payment to public disability insurance.

215

Table EP109_3: Percentage of salary received as pension c317 “Thinking about the year when you will collect this pension, approximately, what percentage of your earnings will your pension amount to?” Men 50-59 60-69 70-79 80+ Total50 1 0 0 0 180 1 0 0 0 1Don't know 2 0 0 0 2Total 4 0 0 0 4Remark: This table includes those men who report in ep098d3 to be entitled to public disability insurance and who report in ep005 to be employed or self-employed. Table EP099_4: Pension c4 with/without health insurance “Does your pension include also health insurance?” Men 50-59 60-69 70-79 80+ TotalPension only 12 3 0 1 16Pension and health insurance 12 1 0 0 13Total 24 4 0 1 29Remark: This table includes those men who report in ep098d4 to be entitled to a private old age pension. Women 50-59 60-69 70-79 80+ TotalPension only 8 1 0 0 9Pension and health insurance 5 1 0 0 6Total 13 2 0 0 15Remark: This table includes those women who report in ep098d4 to be entitled to a privat old age pension. Table EP100_4: Percentage of salary to pension c4 “In total, what percentage of your current gross earnings goes towards your pension?” Men 50-59 60-69 70-79 80+ Total0-9 12 1 0 0 1210-19 1 1 0 0 220-29 1 0 0 0 1Refusal 3 1 0 0 4Don't know 3 0 0 0 3Total 20 2 0 0 22Remark: This table includes those men who report in ep098d4 to be entitled to a private old age pension and who report in ep005 to be employed or self-employed. Women 50-59 60-69 70-79 80+ Total0-9 3 0 0 0 310-19 4 0 0 0 420-29 1 1 0 0 230-39 1 0 0 0 1Don't know 3 0 0 0 3Total 12 1 0 0 13Remark: This table includes those women who report in ep098d4 to be entitled to a privat old age pension and who report in ep005 to be employed or self-employed.

Table EP102_4: Compulsory or voluntary plan or fund, pension c4 “Is participation in this pension compulsory or voluntary?” Men 50-59 60-69 70-79 80+ TotalCompulsory 5 0 0 0 5Voluntary 19 4 0 1 24Total 24 4 0 1 29Remark: This table includes those men who report in ep098d4 to be entitled to a private old age pension.

17 In the Austrian dataset there are no women who report in ep098d3 to be entitled to public disability insurance and who report in ep005 to be employed or self-employed.

216

Women 50-59 60-69 70-79 80+ Total Compulsory 5 1 0 0 6 Voluntary 8 1 0 0 9 Total 13 2 0 0 15 Remark: This table includes those women who report in ep098d4 to be entitled to a privat old age pension. Table EP103_4: Years contributing to plan, pension c4 “How many years have you been contributing to your pension?” Men 50-59 60-69 70-79 80+ Total 0-9 8 1 0 0 8 10-19 4 0 0 0 4 20-29 5 0 0 0 5 30-39 2 2 0 1 5 40-49 3 1 0 0 4 Don't know 1 1 0 0 2 Total 24 4 0 1 29 Remark: The values range from 0 to 40. This table includes those men who report in ep098d4 to be entitled to a private old age pension. Women 50-59 60-69 70-79 80+ Total 0-9 4 0 0 0 4 10-19 1 0 0 0 1 20-29 4 1 0 0 6 30-39 2 1 0 0 3 Don't know 1 0 0 0 1 Total 13 2 0 0 15 Remark: The values range from 2 to 39. This table includes those women who report in ep098d4 to be entitled to a privat old age pension. Table EP104_4: retirement age in pension c4 “In this pension, what is the regular age at which you start receiving payments?” Men 50-59 60-69 70-79 80+ Total 60-69 23 3 0 0 26 Refusal 0 1 0 0 1 Don't know 1 0 0 1 2 Total 24 4 0 1 29 Remark: The values range from 60 to 65. This table includes those men who report in ep098d4 to be entitled to a private old age pension. Women 50-59 60-69 70-79 80+ Total 0-9 0 1 0 0 1 50-59 1 0 0 0 1 60-69 12 1 0 0 13 Total 13 2 0 0 15 Remark: The values range from 0 to 65. Unplausible values have to be excluded for further analyses. This table includes those women who report in ep098d4 to be entitled to a privat old age pension. Table EP105_4: Early retirement possibility, pension c4 “Does this pension offer the possibility to receive payments before the regular age?” Men 50-59 60-69 70-79 80+ Total Yes 10 2 0 0 12 No 14 2 0 1 17 Total 24 4 0 1 29 Remark: This table includes those men who report in ep098d4 to be entitled to a private old age pension. Women 50-59 60-69 70-79 80+ Total Yes 9 1 0 0 10 No 4 1 0 0 5 Total 13 2 0 0 15 Remark: This table includes those women who report in ep098d4 to be entitled to a privat old age pension.

217

Table EP106_4: Expected age to collect pension c4 “At what age do you expect to collect this pension?” Men 50-59 60-69 70-79 80+ Total60-69 24 4 0 0 28Don't know 0 0 0 1 1Total 24 4 0 1 29Remark: The values range from 60 to 65. This table includes those men who report in ep098d4 to be entitled to a private old age pension. Women 50-59 60-69 70-79 80+ Total50-59 2 0 0 0 260-69 11 1 0 0 1270-79 0 1 0 0 1Total 13 2 0 0 15Remark: The values range from 55 to 70. This table includes those women who report in ep098d4 to be entitled to a privat old age pension. Table EP107_4: Expect lump sum payment with pension c4 “Do you expect to receive a lup sum (one off) payment with this pension?” Men 50-59 60-69 70-79 80+ TotalYes 7 2 0 1 10No 17 2 0 0 19Total 24 4 0 1 29Remark: This table includes those men who report in ep098d4 to be entitled to a private old age pension. Women 50-59 60-69 70-79 80+ TotalYes 4 0 0 0 4No 9 2 0 0 11Total 13 2 0 0 15Remark: This table includes those women who report in ep098d4 to be entitled to a privat old age pension.

Table EP108e4: Amount lump sum payment at retirement, pension c4 “How much do you expect to receive as a lump sum payment when you collect this pension?” Men 50-59 60-69 70-79 80+ Total0-999 0 1 0 0 110,000-99,999 2 0 0 0 2Don't know 5 1 0 1 7Total 7 2 0 1 10Remark: This table includes those men who report in ep107_4 to expect to receive a lump sum payment to a private old age pension. Women 50-59 60-69 70-79 80+ Total1,000-9,999 1 0 0 0 110,000-99,999 2 0 0 0 2Don't know 1 0 0 0 1Total 4 0 0 0 4Remark: This table includes those women who report in ep107_4 to expect to receive a lump sum payment to a private old age pension. Table EP109_4: Percentage of salary received as pension c4 “Thinking about the year when you will collect this pension, approximately, what percentage of your earnings will your pension amount to?” Men 50-59 60-69 70-79 80+ Total0-9 1 1 0 0 210-19 3 0 0 0 320-29 3 0 0 0 360-69 2 1 0 0 380-89 1 0 0 0 1Refusal 2 0 0 0 2Don't know 7 1 0 0 8Total 20 2 0 0 22Remark: This table includes those men who report in ep098d4 to be entitled to a private old age pension and who report in ep005 to be employed or self-employed. The values (percentages) range fom 0 to 85.

218

Women 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 10-19 2 0 0 0 2 20-29 2 0 0 0 2 60-69 2 0 0 0 2 70-79 0 1 0 0 1 80-89 3 0 0 0 3 Don't know 2 0 0 0 2 Total 12 1 0 0 13 Remark: This table includes those women who report in ep098d3 to be entitled to a privat old age pension and who report in ep005 to be employed or self-employed. The values (percentages) range fom 0 to 85. Table EP099_5: Pension c5 with/without health insurance “Does your pension include also health insurance?” Men 50-59 60-69 70-79 80+ Total Pension only 0 1 0 0 1 Pension and health insurance 1 0 0 0 1 Total 1 1 0 0 2 Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension. Women 50-59 60-69 70-79 80+ Total Pension and health insurance 2 0 0 0 2 Total 2 0 0 0 2 Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension. Table EP100_5: Percentage of salary to pension c518 “In total, what percentage of your current gross earnings goes towards your pension?” Women 50-59 60-69 70-79 80+ Total 20 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ep098d5 to be entitled to a privat early retirement pension and who reports in ep005 to be employed or self-employed. Table EP102_5: Compulsory or voluntary plan or fund, pension c5 “Is participation in this pension compulsory or voluntary?” Men 50-59 60-69 70-79 80+ Total Compulsory 1 1 0 0 2 Total 1 1 0 0 2 Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension. Women 50-59 60-69 70-79 80+ Total Compulsory 1 0 0 0 1 Voluntary 1 0 0 0 1 Total 2 0 0 0 2 Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension. Table EP103_5: Years contributing to plan, pension c5 “How many years have you been contributing to your pension?” Men 50-59 60-69 70-79 80+ Total 30-39 0 1 0 0 1 40-49 1 0 0 0 1 Total 1 1 0 0 2 Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension.

18 In the Austria dataset there are no men who report in ep098d5 to be entitled to a privat early retirement pension and who report in ep005 to be employed or self-employed.

219

Women 50-59 60-69 70-79 80+ Total10-19 1 0 0 0 130-39 1 0 0 0 1Total 2 0 0 0 2Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension. Table EP104_5: Retirement age in pension c5 “In this pension, what is the regular age at which you start receiving payments?” Men 50-59 60-69 70-79 80+ Total65 1 1 0 0 2Total 1 1 0 0 2Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension. Women 50-59 60-69 70-79 80+ Total57 1 0 0 0 160 1 0 0 0 1Total 2 0 0 0 2Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension. Table EP105_5: Early retirement possibility, pension c5 “Does this pension offer the possibility to receive payments before the regular age?” Men 50-59 60-69 70-79 80+ TotalYes 1 1 0 0 2Total 1 1 0 0 2Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension. Women 50-59 60-69 70-79 80+ TotalYes 2 0 0 0 2Total 2 0 0 0 2Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension. Table EP106_5: Expected age to collect pension c5 “At what age do you expect to collect this pension?” Men 50-59 60-69 70-79 80+ Total60 1 0 0 0 161 0 1 0 0 1Total 1 1 0 0 2Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension. Women 50-59 60-69 70-79 80+ Total57 2 0 0 0 2Total 2 0 0 0 2Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension.

Table EP107_5: Expect lump sum payment with pension c5 “Do you expect to receive a lup sum (one off) payment with this pension?” Men 50-59 60-69 70-79 80+ TotalYes 0 1 0 0 1No 1 0 0 0 1Total 1 1 0 0 2Remark: This table includes those men who report in ep098d5 to be entitled to a private early retirement pension. Women 50-59 60-69 70-79 80+ TotalYes 2 0 0 0 2Total 2 0 0 0 2Remark: This table includes those women who report in ep098d5 to be entitled to a privat early retirement pension.

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Table EP108e5: Amount lump sum payment at retirement, pension c5 “How much do you expect to receive as a lump sum payment when you collect this pension?” Men 50-59 60-69 70-79 80+ Total 36,000 0 1 0 0 1 Total 0 1 0 0 1 Remark: This table includes this man who reports in ep107_5 to expect to receive a lump sum payment to a private early retirement pension. Women 50-59 60-69 70-79 80+ Total 20,000 1 0 0 0 1 Don’t know 1 0 0 0 1 Total 2 0 0 0 2 Remark: This table includes this woman who reports in ep107_5 to expect to receive a lump sum payment to a private early retirement pension. Table EP109_5: Percentage of salary received as pension c519 “Thinking about the year when you will collect this pension, approximately, what percentage of your earnings will your pension amount to?” Women 50-59 60-69 70-79 80+ Total 20 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ep098d5 to be entitled to a privat early retirement pension and who reports in ep005 to be employed or self-employed. Table EP210: Who answered section ep Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ Total Respondent only 333 241 154 45 772 Respondent and proxy 4 9 7 6 26 Proxy only 0 3 1 1 5 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Respondent only 369 305 270 120 1,063 Respondent and proxy 2 1 3 9 15 Proxy only 3 0 3 8 15 Don't know 1 0 0 0 1 Total 376 305 277 136 1,094

19 In the Austrian dataset there are no men who report in ep098d5 to be entitled to a privat early retirement pension and who report in ep005 to be employed or self-employed.

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3.9 Grip Strength (GS) With the exception of question gs002, the questions in the grip strength module are asked to those eligibles persons who were willing to have handgrip measured. Table GS001: Willing to have handgrip measured “Now I would like to assess the strength of your hand in a gripping exercise. I will ask you to squeeze this handle as hard as you can, just for a couple of seconds and then let go. I will take two alternate measurements from your right and your left hand. Would you be willing to have your handgrip measured?” Men 50-59 60-69 70-79 80+ TotalYes 316 235 137 39 728No 8 7 10 3 28Unable to take measurement 13 11 15 9 47Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalYes 334 273 216 80 903No 17 14 18 20 69Unable to take measurement 24 18 42 37 122Total 376 305 277 136 1,094 Table GS002: Record respondent status Interviewer: Record respondent status Men 50-59 60-69 70-79 80+ TotalRespondent has the use of both hands 323 241 148 46 757Respondent is unable to use right hand 5 3 3 0 11Respondent is unable to use left hand 1 6 3 0 11Respondent is unable to use either hand 8 2 8 6 23Refusal 0 1 0 0 1Don't know 0 1 0 0 1Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalRespondent has the use of both hands 358 293 244 109 1,004Respondent is unable to use right hand 4 3 6 2 15Respondent is unable to use left hand 3 3 6 1 13Respondent is unable to use either hand 8 6 22 23 59Don't know 1 0 0 1 2Total 376 305 277 136 1,094 Table GS004: Dominant hand “Which is your dominant hand?” Men 50-59 60-69 70-79 80+ TotalRight hand 292 211 128 34 666Left hand 20 20 7 4 52Total 313 231 135 39 718Remark: This table includes those men with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands, are unable to use the right hand or are unable to use the left hand. Women 50-59 60-69 70-79 80+ TotalRight hand 300 253 199 71 824Left hand 33 17 12 9 70Total 333 270 211 80 894Remark: This table includes those women with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands, are unable to use the right hand or are unable to use the left hand.

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Table GS006: First measurement, left hand Interviewer: Enter the results to the nearest integer value Men 50-59 60-69 70-79 80+ Total 0-9 0 1 0 0 1 10-19 3 0 6 7 15 20-29 23 15 18 15 70 30-39 73 85 69 12 239 40-49 134 98 39 3 274 50-59 71 27 4 2 103 60-69 13 5 1 0 19 70-79 0 1 0 0 1 Total 315 232 136 39 722 Remark: The values range from 8 to 78. This table includes those men with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the right hand. Women 50-59 60-69 70-79 80+ Total 0-9 0 2 5 6 12 10-19 29 37 67 44 177 20-29 179 162 114 28 482 30-39 113 62 28 3 207 40-49 11 8 1 0 20 50-59 2 2 0 0 4 Total 335 272 214 80 902 Remark: The values range from 4 to 58. This table includes those women with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the right hand. Table GS007: Second measurement, left hand Interviewer: Enter the results to the nearest integer value Men 50-59 60-69 70-79 80+ Total 0-9 1 1 0 0 2 10-19 3 1 7 8 18 20-29 22 19 19 16 75 30-39 70 83 70 11 234 40-49 142 100 36 2 280 50-59 68 26 4 2 101 60-69 8 2 1 0 11 70-79 1 1 0 0 2 Total 315 232 136 39 722 Remark: The values range from 0 to 75. This table includes those men with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the right hand. Women 50-59 60-69 70-79 80+ Total 0-9 2 1 9 8 20 10-19 34 50 71 43 198 20-29 168 156 110 28 461 30-39 116 59 23 2 201 40-49 13 6 0 0 19 50-59 2 1 1 0 4 Total 335 272 214 80 902 Remark: The values range from 0 to 58. This table includes those women with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the right hand.

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Table GS008: First measurement, right hand Interviewer: Enter the results to the nearest integer value Men 50-59 60-69 70-79 80+ Total0-9 0 1 0 0 110-19 3 1 4 1 820-29 8 8 15 18 4930-39 45 53 45 11 15340-49 121 98 59 7 28550-59 108 66 12 2 18960-69 28 7 1 0 3670-79 1 0 1 0 280-89 0 1 0 0 1Total 314 234 136 39 724Remark: The values range from 0 to 85. This table includes those men with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the left hand. Women 50-59 60-69 70-79 80+ Total0-9 2 1 3 3 1010-19 14 23 39 37 11420-29 124 123 119 36 40130-39 159 106 52 3 32040-49 32 17 0 0 4950-59 2 2 0 0 360-69 1 2 0 0 3Total 335 272 213 80 901Remark: The values range from 2 to 65. This table includes those women with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the left hand. Table GS009: Second measurement, right hand Interviewer: Enter the results to the nearest integer value Men 50-59 60-69 70-79 80+ Total0-9 0 1 0 0 110-19 3 1 3 3 1020-29 11 9 19 17 5530-39 51 53 46 11 16140-49 110 104 56 7 27650-59 116 59 12 0 18760-69 21 8 0 1 3070-79 3 1 1 0 4Total 314 234 136 39 724Remark: The values range from 0 to 79. This table includes those men with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the left hand. Women 50-59 60-69 70-79 80+ Total0-9 1 1 6 4 1210-19 18 27 46 40 13020-29 130 125 114 33 40330-39 155 98 46 3 30340-49 28 18 1 0 4850-59 2 2 0 0 360-69 1 1 0 0 2Total 335 272 213 80 901Remark: The values range from 2 to 65. This table includes those women with nonmissing birthdate who are willing to have handgrip measured and who – according to gs002 – use either both hands or who are unable to use the left hand.

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3.10 Walking Speed (WS) Candidates for the walking speed module are eligibles persons who are older than 75 years or who report in ph048d01 (physical health module) to have problems in walking 100 metres. With the exception of questions ws001, ws002 and ws003 the questions in the walking speed module apply to those who participated in the walking speed test, i.e. eligibles persons older than 75 years, who have problems in walking 100 metres, who have no apparent restriction to carry out the test (ws003), who are willing to do the walking test (ws004) and for whom the interviewer assumes that there is suitable space to carry out the test (ws007). Table WS001: Record respondent status Interviewer: This is the start of walking speed test, please record respondent status Men 50-59 60-69 70-79 80+ Total Observed walking without help of another person or using support

12 4 45 37 98

Observed walking with help of another person or using support

1 1 6 5 14

Not observed - in wheelchair 1 1 2 2 7 Not observed - bed bound 0 0 3 1 4 Not observed - uncertain if respondent has impairment 0 1 2 3 6 Total 14 7 57 49 128 Remark: This table includes those men who are older than 75 years or who report in ph048d01 to have problems in walking 100 metres. Women 50-59 60-69 70-79 80+ Total Observed walking without help of another person or using support

8 10 69 67 154

Observed walking with help of another person or using support

0 4 16 32 52

Not observed - in wheelchair 1 1 3 6 12 Not observed - bed bound 0 0 4 3 7 Not observed - uncertain if respondent has impairment 0 1 12 15 27 Refusal 0 0 1 0 1 Don't know 0 0 0 1 1 Total 9 15 104 125 254 Remark: This table includes those women who are older than 75 years or who report in ph048d01 to have problems in walking 100 metres. Table WS002: Introduction to respondent “Are you able to walk alone without holding on to another person (using a walking stick or other aid if necessary)?” Men 50-59 60-69 70-79 80+ Total Yes 0 0 4 2 6 Yes, but aid unavailable 0 0 1 2 3 No 2 4 8 8 22 Total 2 4 13 12 31 Remark: This table includes those men who, according to ws001, have all categories except “Observed walking without help of another person or using support”. Women 50-59 60-69 70-79 80+ Total Yes 0 3 15 16 34 Yes, but aid unavailable 0 0 1 8 9 No 1 3 20 33 57 Total 1 6 36 57 100 Remark: This table includes those women who, according to ws001, have all categories except “Observed walking without help of another person or using support”.

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Table WS003: Is it safe to carry out the test “Do you have any problems from recent surgery, injury, or other health conditions that might prevent you from walking?” Men 50-59 60-69 70-79 80+ TotalNo apparent restriction 8 2 39 33 82Yes, recent surgery 0 0 0 2 2Yes, injury 0 0 2 0 2Yes, other health condition 4 1 8 4 16Don't know 0 1 0 0 1Total 12 4 48 39 103Remark: This table includes those men who, according to ws001, walk without help of another person or using support or who report in ws002 to be able to walk alone without holding another person. Women 50-59 60-69 70-79 80+ TotalNo apparent restriction 5 8 55 62 130Yes, recent surgery 0 1 5 3 10Yes, injury 0 2 3 3 8Yes, other health condition 3 1 20 16 40Total 8 13 83 84 188Remark: This table includes those women who, according to ws001, walk without help of another person or using support or who report in ws002 to be able to walk alone without holding another person. Table WS004: Respondent willing to do walking test “Are you willing to do the walking test?” Men 50-59 60-69 70-79 80+ TotalYes 7 2 26 24 60No 1 0 12 8 22Total 8 2 39 33 82Remark: This table includes those men who report in ws003 to have no apparent restriction to carry out the walking test. Women 50-59 60-69 70-79 80+ TotalYes 4 6 41 35 87No 1 1 14 26 42Total 5 8 55 61 129Remark: This table includes those women who report in ws003 to have no apparent restriction to carry out the walking test. Table WS005: Does respondent feel safe to continue Interviewer: Do you feel that it is safe to continue with the walking test? Men 50-59 60-69 70-79 80+ TotalYes 7 2 26 24 60Total 7 2 26 24 60Remark: This table includes those men who report in ws004 to be willing to do the walking test. Women 50-59 60-69 70-79 80+ TotalYes 3 6 40 35 85No 1 0 1 0 2Total 4 6 41 35 87Remark: This table includes those women who report in ws004 to be willing to do the walking test.

Table WS007: Check available space for test Interviewer: Check availability of suitable space Men 50-59 60-69 70-79 80+ TotalSuitable space available 7 2 25 24 59No suitable space 0 0 1 0 1Total 7 2 26 24 60Remark: This table includes those men who for whom the interviewer assumes in ws005 that it is safe to continue with the walking test.

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Women 50-59 60-69 70-79 80+ Total Suitable space available 3 6 40 35 85 Total 3 6 40 35 85 Remark: This table includes those women for whom the interviewer assumes in ws005 that it is safe to continue with the walking test. Table WS010: Result of first trial Interviewer: Record result of the first trial Men 50-59 60-69 70-79 80+ Total Completed successfully 7 2 24 22 55 Attempted but unable to complete 0 0 1 1 2 Not attempted, respondent felt it would be unsafe 0 0 1 0 1 Participant unable to understand instructions 0 0 0 1 1 Total 7 2 25 24 59 Remark: This table includes those men for whom the interviewer assumes in ws007 that there is suitable space available. Women 50-59 60-69 70-79 80+ Total Completed successfully 3 6 40 33 83 Respondent refused 0 0 0 2 2 Total 3 6 40 35 85 Remark: This table includes those women for whom the interviewer assumes in ws007 that there is suitable space available. Table WS011: Time of first walking speed test Interviewer: Record time in seconds to two decimal places Men 50-59 60-69 70-79 80+ Total 0-0.99 1 0 0 1 2 1-1.99 0 0 1 0 1 2-2.99 2 1 5 3 12 3-3.99 1 0 7 5 13 4-4.99 1 0 5 3 9 5-5.99 1 1 3 5 10 6-6.99 0 0 2 1 3 7-7.99 0 0 1 1 2 9-9.99 0 0 0 1 1 12-12.99 0 0 0 1 1 18-18.99 0 0 1 0 1 Total 7 2 23 22 55 Remark: This table includes those men who, according to ws010, completed the first trial. The values range from 0.02 to 18. Women 50-59 60-69 70-79 80+ Total 0-0.99 0 0 2 1 3 2-2.99 1 4 8 2 15 3-3.99 1 1 8 8 19 4-4.99 1 0 10 7 18 5-5.99 0 0 3 7 10 6-6.99 0 0 2 3 5 7-7.99 0 0 0 2 2 8-8.99 0 0 1 0 1 9-9.99 0 0 1 0 1 10-10.99 0 1 1 2 4 11-11.99 0 0 1 0 1 12-12.99 0 0 0 1 1 13-13.99 0 0 1 0 1 15-15.99 0 1 1 0 2 Total 3 6 40 33 83 Remark: This table includes those women who, according to ws010, completed the first trial. The values range from 0.04 to 15.7.

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Table WS012: Result of second trial Interviewer: Repeat walking speed test; record result of the second trial Men 50-59 60-69 70-79 80+ TotalCompleted successfully 7 2 23 21 54Attempted but unable to complete 0 0 0 1 1Total 7 2 23 22 55Remark: This table includes those men who, according to ws010, completed the first trial. The values range from 0.02 to 18. Women 50-59 60-69 70-79 80+ TotalCompleted successfully 3 6 39 32 81Not attempted, respondent felt it would be unsafe 0 0 0 1 1Participant unable to understand instructions 0 0 1 0 1Total 3 6 40 33 83Remark: This table includes those women who, according to ws010, completed the first trial. The values range from 0.02 to 18. Table WS013: Time of second walking speed test Interviewer: Record time in seconds to two decimal places Men 50-59 60-69 70-79 80+ Total0-0.99 1 0 0 1 21-1.99 2 0 1 0 32-2.99 1 1 4 3 103-3.99 0 0 9 3 134-4.99 1 0 4 7 125-5.99 1 1 3 2 76-6.99 0 0 1 2 37-7.99 0 0 1 0 19-9.99 0 0 0 1 112-12.99 0 0 0 1 113-13.99 0 0 1 0 1Total 7 2 24 21 54Remark: This table includes those men who, according to ws012, completed successfully the second trial. The values range from 0.02 to 13. Women 50-59 60-69 70-79 80+ Total0-0.99 0 0 2 1 31-1.99 0 0 0 1 12-2.99 1 4 8 2 153-3.99 1 1 11 10 224-4.99 1 1 6 7 155-5.99 0 0 5 5 106-6.99 0 0 1 3 48-8.99 0 0 2 1 39-9.99 0 1 0 0 110-10.99 0 0 1 1 213-13.99 0 0 1 1 215-15.99 0 1 0 0 117-17.99 0 0 1 0 1Total 3 6 39 32 81Remark: This table includes those women who, according to ws012, completed successfully the second trial. The values range from 0.04 to 17.35. Table WS014: Did the respondent have comment on pain “Did you have pain while you were performing the walking test?” Men 50-59 60-69 70-79 80+ TotalYes 1 1 3 0 5No 6 1 24 24 55Total 7 2 26 24 60Remark: This table includes those 60 men who, according to ws007, participated in the walking speed test.

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Women 50-59 60-69 70-79 80+ Total Yes 1 1 1 5 9 No 2 5 39 30 76 Total 3 6 40 35 85 Remark: This table includes those women who, according to ws007, participated in the walking speed test. Table WS015: Record type of floor surface Interviewer: Record type of floor surface Men 50-59 60-69 70-79 80+ Total Linoleum/tile/wood 6 1 20 13 40 Low-pile carpet 0 0 3 8 11 Thick-pile carpet 0 0 1 2 3 Concrete 1 1 3 0 5 Other 0 0 0 1 1 Total 7 2 26 24 60 Remark: This table includes those men who, according to ws007, participated in the walking speed test. Women 50-59 60-69 70-79 80+ Total Linoleum/tile/wood 3 4 24 18 50 Low-pile carpet 0 1 13 13 27 Thick-pile carpet 0 0 1 2 3 Concrete 0 1 1 0 2 Other 0 0 1 2 3 Total 3 6 40 35 85 Remark: This table includes those women who, according to ws007, participated in the walking speed test. Table WS017: Type of aid used during test Interviewer: Record type of aid Men 50-59 60-69 70-79 80+ Total None 7 2 25 23 58 Walking stick or cane 0 0 1 1 2 Total 7 2 26 24 60 Remark: This table includes those men who, according to ws007, participated in the walking speed test. Women 50-59 60-69 70-79 80+ Total None 3 6 40 31 81 Walking stick or cane 0 0 0 3 3 Elbow crutches 0 0 0 1 1 Total 3 6 40 35 85 Remark: This table includes those women who, according to ws007, participated in the walking speed test.

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3.11 Children (CH) With the exception of ch001, the questions in the children module are asked to the family respondents with at least one child.20 Accurate information on the child (marital status, partner, transition to adulthood, employment status and education) are asked for up to four children.21 If a respondent has more children, the data contain only basic information (natural child, gender, year of birth, place of residence). Furthermore, no information on dead children is collected. Table CH001: Number of children “How many children do you have that are still alive? Please count all natural children, fostered, adopted and stepchildren (including those of your husband/wife/partner)?” Men 50-59 60-69 70-79 80+ Total0 57 31 18 15 1201 62 49 43 12 1662 118 106 51 15 2893 55 45 29 7 1364 30 15 15 3 635 8 5 3 0 156 4 2 1 0 77 3 0 1 1 58 0 0 1 0 19 1 0 0 0 110 0 1 0 0 1Refusal 0 0 1 0 1Total 338 254 162 52 806Remark: The Austrian SHARE includes 820 men and for 816 of them the age can be calculated. Moreover, 2 men have missings for the number of children (ch001). Therefore, this table includes 814 men. Women 50-59 60-69 70-79 80+ Total0 55 44 37 34 1691 83 77 72 35 2682 146 106 90 43 3853 60 45 46 13 1644 19 19 22 9 695 8 8 6 1 236 1 3 2 0 67 0 2 0 0 28 0 2 1 1 49 1 0 0 0 110 0 0 1 0 113 1 0 0 0 1Refusal 0 1 0 1 2Total 376 306 277 136 1,095Remark: The Austrian SHARE includes 1,166 women and for 1,153 of them the age can be calculated. Moreover, 7 women have missings for the number of children (ch001). Therefore, this table includes 1,146 women.

20 These are those persons with dumfamr = 1 and ch001 > 1. 21 The selection of the four children was proceeded as follows: Children were sorted (in ascending order) by minor, proximity (CH007), and birth year, where the minor is defined as 0 for all children aged 18 and over and 1 for all others. The first four children were picked. The variables chselch1 till chselch4 contain the number of the children who were selected by the program. The numbers refer to the order in which the respondent listed the children (see readme.txt at the SHARE homepage).

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Table CH002: Natural child(ren) “Is this child a natural child/ Are all these children natural children of your own?” Men 50-59 60-69 70-79 80+ Total Yes 192 166 111 27 496 No 20 15 10 0 45 Total 212 181 121 27 541 Remark: This table includes those men who report in ch001 to have at least one child and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Yes 197 169 185 94 646 No 10 9 7 0 26 Total 207 178 192 94 672 Remark: This table includes those women who report in ch001 to have at least one child and who are the family respondent. Table CH005_1: Sex of child 1 “Is child 1 male or female?” Men 50-59 60-69 70-79 80+ Total Male 115 95 69 16 295 Female 97 86 51 11 246 Total 212 181 121 27 541 Remark: This table includes those men who report in ch001 to have at least one child and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Male 98 95 82 46 320 Female 110 84 110 49 352 Total 207 178 192 94 672 Remark: This table includes those women who report in ch001 to have at least one child and who are the family respondent.

Table CH006_1: Year of birth child 1 “In which year was child 1 born?” Men 50-59 60-69 70-79 80+ Total 1930-1939 0 1 0 1 2 1940-1949 0 1 7 8 16 1950-1959 0 16 64 15 95 1960-1969 38 114 42 2 197 1970-1979 124 43 5 1 174 1980-1989 45 6 0 0 51 1990-1999 5 0 0 0 5 Refusal 0 0 1 0 1 Don't know 0 0 1 0 1 Total 212 181 121 27 541 Remark: The values range from 1930 to 1995. This table includes those men who report in ch001 to have at least one child and who are the family respondent. Women 50-59 60-69 70-79 80+ Total 1920-1929 0 0 0 1 1 1930-1939 0 0 0 14 14 1940-1949 0 1 30 55 86 1950-1959 1 39 124 20 183 1960-1969 70 113 34 2 219 1970-1979 94 24 2 0 120 1980-1989 38 2 0 0 40 1990-1999 3 1 0 0 4 Refusal 1 0 1 1 3 Don't know 0 0 1 1 2 Total 207 178 192 94 672 Remark: The values range from 1928 to 1996. This table includes those women who report in ch001 to have at least one child and who are the family respondent.

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Table CH007_1: Where does child 1 live “Where does child 1 live?” Men 50-59 60-69 70-79 80+ TotalIn the same household 44 15 5 0 64In the same building 8 14 6 2 31Less than 1 kilometre away 16 20 18 3 58Between 1 and 5 kilometres away 53 34 25 8 121Between 5 and 25 kilometres away 42 40 28 6 116Between 25 and 100 kilometres away 23 22 23 5 73Between 100 and 500 kilometres away 19 21 9 1 50More than 500 kilometres away 1 2 1 0 4More than 500 kilometres away in another country 5 12 5 2 24Don't know 0 1 0 0 1Total 212 181 121 27 541Remark: This table includes those men who report in ch001 to have at least one child and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalIn the same household 34 22 18 8 81In the same building 14 14 18 13 59Less than 1 kilometre away 23 19 22 15 79Between 1 and 5 kilometres away 29 27 39 14 109Between 5 and 25 kilometres away 58 42 41 18 159Between 25 and 100 kilometres away 18 25 32 10 84Between 100 and 500 kilometres away 26 19 15 8 68More than 500 kilometres away 0 5 3 1 9More than 500 kilometres away in another country 5 6 5 8 23Refusal 1 0 0 0 1Total 207 178 192 94 672Remark: This table includes those women who report in ch001 to have at least one child and who are the family respondent. CH005_2: Sex of child 2 “Is child 2 male or female?” Men 50-59 60-69 70-79 80+ TotalMale 87 68 43 6 204Female 80 71 44 11 207Total 167 139 87 17 411Remark: This table includes those men who report in ch001 to have at least two children and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalMale 66 60 65 36 227Female 75 64 69 26 234Total 141 124 134 62 461Remark: This table includes those women who report in ch001 to have at least two children and who are the family respondent. CH006_2: Year of birth child 2 “In wich year was child 2 born?” Men 50-59 60-69 70-79 80+ Total1940-1949 0 0 2 3 51950-1959 0 2 41 8 511960-1969 17 76 42 2 1371970-1979 88 47 1 2 1381980-1989 58 13 0 1 731990-1999 4 0 0 0 4Don't know 0 1 1 0 2Total 167 139 87 17 411Remark: The values range from 1942 to 1995. This table includes those men who report in ch001 to have at least two children and who are the family respondent.

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Women 50-59 60-69 70-79 80+ Total 1930-1939 0 0 0 5 5 1940-1949 0 0 7 28 35 1950-1959 0 8 78 18 105 1960-1969 23 84 47 9 163 1970-1979 68 31 1 0 99 1980-1989 46 1 0 0 47 1990-1999 5 0 0 0 5 Refusal 0 0 1 0 1 Don't know 0 0 0 1 1 Total 141 124 134 62 461 Remark: The values range from 1930 to 1996. This table includes those women who report in ch001 to have at least two children and who are the family respondent. CH007_2: Where does child 2 live “Where does child 2 live?” Men 50-59 60-69 70-79 80+ Total In the same household 50 14 5 0 69 In the same building 6 10 6 2 25 Less than 1 kilometre away 15 14 10 5 43 Between 1 and 5 kilometres away 23 22 21 1 67 Between 5 and 25 kilometres away 31 33 16 2 82 Between 25 and 100 kilometres away 16 20 12 3 51 Between 100 and 500 kilometres away 19 20 12 2 53 More than 500 kilometres away 0 2 2 1 5 More than 500 kilometres away in another country 8 4 3 0 15 Don't know 0 1 0 0 1 Total 167 139 87 17 411 Remark: This table includes those men who report in ch001 to have at least two children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total In the same household 31 8 3 7 49 In the same building 17 11 14 4 46 Less than 1 kilometre away 15 14 17 2 48 Between 1 and 5 kilometres away 20 20 33 11 84 Between 5 and 25 kilometres away 29 36 25 13 103 Between 25 and 100 kilometres away 13 19 24 8 64 Between 100 and 500 kilometres away 13 12 14 7 45 More than 500 kilometres away 0 2 0 1 3 More than 500 kilometres away in another country 3 1 5 10 19 Total 141 124 134 62 461 Remark: This table includes those women who report in ch001 to have at least two children and who are the family respondent. CH005_3 Sex of child 3 “Is child 3 male or female?” Men 50-59 60-69 70-79 80+ Total Male 39 29 17 4 89 Female 38 27 27 3 95 Total 77 56 44 8 184 Remark: This table includes those men who report in ch001 to have at least three children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Male 24 28 34 12 98 Female 29 24 29 11 93 Total 53 52 63 23 191 Remark: This table includes those women who report in ch001 to have at least three children and who are the family respondent.

233

CH006_3: Year of birth child 3 “In wich year was child 3 born?” Men 50-59 60-69 70-79 80+ Total1940-1949 0 0 1 1 21950-1959 0 1 15 1 171960-1969 5 24 23 4 571970-1979 28 26 4 1 591980-1989 31 3 0 0 341990-1999 11 1 0 0 122000 and later 1 0 0 0 1Don't know 0 1 1 0 2Total 77 56 44 8 184Remark: The values range from 1944 to 2003. This table includes those men who report in ch001 to have at least three children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total1930-1939 0 0 0 3 31940-1949 0 0 3 10 131950-1959 0 0 23 10 331960-1969 10 35 35 0 801970-1979 23 16 1 0 401980-1989 17 1 0 0 181990-1999 3 0 0 0 3Total 53 52 63 23 191Remark: The values range from 1936 to 1996. This table includes those women who report in ch001 to have at least three children and who are the family respondent. CH007_3: Where does child 3 live “Where does child 3 live?” Men 50-59 60-69 70-79 80+ TotalIn the same household 30 5 2 2 39In the same building 5 3 3 0 11Less than 1 kilometre away 7 5 4 1 17Between 1 and 5 kilometres away 9 9 13 2 33Between 5 and 25 kilometres away 10 16 8 1 35Between 25 and 100 kilometres away 7 8 5 1 21Between 100 and 500 kilometres away 6 6 5 0 17More than 500 kilometres away 0 0 2 0 2More than 500 kilometres away in another country 2 2 2 0 6Don't know 0 2 0 0 2Total 77 56 44 8 184Remark: This table includes those men who report in ch001 to have at least three children and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalIn the same household 19 5 3 7 34In the same building 5 6 6 2 19Less than 1 kilometre away 3 5 6 4 19Between 1 and 5 kilometres away 4 8 6 2 20Between 5 and 25 kilometres away 15 13 19 1 48Between 25 and 100 kilometres away 5 8 11 0 25Between 100 and 500 kilometres away 2 5 10 2 19More than 500 kilometres away 0 0 1 0 1More than 500 kilometres away in another country 0 2 0 4 6Total 53 52 63 23 191Remark: This table includes those women who report in ch001 to have at least three children and who are the family respondent.

234

CH005_4: Sex of child 4 “Is child 4 male or female?” Men 50-59 60-69 70-79 80+ Total Male 15 8 12 2 38 Female 21 9 6 0 35 Total 35 17 18 2 73 Remark: This table includes those men who report in ch001 to have at least four children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Male 7 10 15 5 37 Female 12 11 11 5 40 Total 19 21 26 11 77 Remark: This table includes those women who report in ch001 to have at least four children and who are the family respondent. CH006_4: Year of birth child 4 “In wich year was child 4 born?” Men 50-59 60-69 70-79 80+ Total 1950-1959 0 0 3 1 4 1960-1969 0 5 10 0 15 1970-1979 6 10 6 1 23 1980-1989 16 2 0 0 18 1990-1999 13 0 0 0 13 Total 35 17 18 2 73 Remark: The values range from 1954 to 1996. This table includes those men who report in ch001 to have at least four children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total 1930-1939 0 0 0 1 1 1940-1949 0 0 0 1 1 1950-1959 0 0 9 8 17 1960-1969 2 14 14 1 31 1970-1979 8 7 3 0 18 1980-1989 9 0 0 0 9 Total 19 21 26 11 77 Remark: The values range from 1937 to 1986. This table includes those women who report in ch001 to have at least four children and who are the family respondent. CH007_4: Where does child 4 live “Where does child 4 live?” Men 50-59 60-69 70-79 80+ Total In the same household 18 2 2 1 23 In the same building 4 2 4 0 10 Less than 1 kilometre away 4 1 0 0 4 Between 1 and 5 kilometres away 4 2 3 0 9 Between 5 and 25 kilometres away 1 8 6 0 15 Between 25 and 100 kilometres away 1 2 2 1 6 Between 100 and 500 kilometres away 1 0 2 0 3 More than 500 kilometres away in another country 2 1 0 0 3 Total 35 17 18 2 73 Remark: This table includes those men who report in ch001 to have at least four children and who are the family respondent.

235

Women 50-59 60-69 70-79 80+ TotalIn the same household 9 0 1 0 10In the same building 5 2 6 0 12Less than 1 kilometre away 1 2 0 4 8Between 1 and 5 kilometres away 1 5 2 0 9Between 5 and 25 kilometres away 3 7 3 1 15Between 25 and 100 kilometres away 0 2 8 4 15Between 100 and 500 kilometres away 0 2 3 0 5More than 500 kilometres away 0 0 1 0 1More than 500 kilometres away in another country 0 1 1 1 3Total 19 21 26 11 77Remark: This table includes those women who report in ch001 to have at least four children and who are the family respondent. CH005_5: Sex of child 5 “Is child 5 male or female?” Men 50-59 60-69 70-79 80+ TotalMale 4 4 5 0 12Female 7 3 1 0 12Total 11 7 6 0 24Remark: This table includes those men who report in ch001 to have at least five children and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalMale 4 2 5 0 10Female 4 7 6 2 19Total 7 9 10 2 29Remark: This table includes those women who report in ch001 to have at least five children and who are the family respondent. CH006_5: Year of birth child 5 “In wich year was child 5 born?” Men 50-59 60-69 70-79 80+ Total1960-1969 0 2 3 0 41970-1979 1 4 3 0 81980-1989 5 2 0 0 71990-1999 5 0 0 0 5Total 11 7 6 0 24Remark: The values range from 1965 to 1999. This table includes those men who report in ch001 to have at least five children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total1950-1959 0 0 2 2 51960-1969 0 5 6 0 111970-1979 2 3 2 0 81980-1989 2 1 0 0 31990-1999 2 0 0 0 2Total 7 9 10 2 29Remark: The values range from 1952 to 1993. This table includes those women who report in ch001 to have at least five children and who are the family respondent. CH007_5: Where does child 5 live “Where does child 5 live?” Men 50-59 60-69 70-79 80+ TotalIn the same household 5 1 0 0 6In the same building 1 1 2 0 4Less than 1 kilometre away 1 1 0 0 2Between 1 and 5 kilometres away 1 1 0 0 2Between 5 and 25 kilometres away 0 2 1 0 3Between 25 and 100 kilometres away 1 0 3 0 4More than 500 kilometres away in another country 1 2 0 0 3Total 11 7 6 0 24Remark: This table includes those men who report in ch001 to have at least five children and who are the family respondent.

236 Women 50-59 60-69 70-79 80+ Total In the same household 4 0 0 0 4 In the same building 0 1 0 0 1 Less than 1 kilometre away 1 1 1 0 3 Between 1 and 5 kilometres away 0 4 2 0 6 Between 5 and 25 kilometres away 0 2 2 1 5 Between 25 and 100 kilometres away 2 2 2 1 7 Between 100 and 500 kilometres away 0 0 1 0 1 More than 500 kilometres away 0 1 1 0 2 Total 7 9 10 2 29 Remark: This table includes those women who report in ch001 to have at least five children and who are the family respondent. CH005_6: Sex of child 6 “Is child 6 male or female?” Men 50-59 60-69 70-79 80+ Total Male 5 1 1 0 7 Female 2 1 2 0 6 Total 7 3 3 0 13 Remark: This table includes those men who report in ch001 to have at least six children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Male 0 1 3 0 4 Female 1 2 1 1 6 Total 1 3 5 1 10 Remark: This table includes those women who report in ch001 to have at least six children and who are the family respondent. CH006_6: Year of birth child 6 “In wich year was child 6 born?” Men 50-59 60-69 70-79 80+ Total 1960-1969 0 0 2 0 2 1970-1979 1 3 0 0 4 1980-1989 4 0 1 0 5 1990-1999 1 0 0 0 1 2000 and later 1 0 0 0 1 Total 7 3 3 0 13 Remark: The values range from 1962 to 2001. This table includes those men who report in ch001 to have at least six children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total 1950-1959 0 0 0 1 1 1960-1969 0 1 5 0 5 1970-1979 1 2 0 0 3 Total 1 3 5 1 10 Remark: The values range from 1958 to 1975. This table includes those women who report in ch001 to have at least six children and who are the family respondent. CH007_6: Where does child 6 live “Where does child 6 live?” Men 50-59 60-69 70-79 80+ Total In the same household 4 1 0 0 4 In the same building 1 0 0 0 1 Between 1 and 5 kilometres away 1 0 1 0 2 Between 5 and 25 kilometres away 0 1 1 0 2 Between 25 and 100 kilometres away 1 0 1 0 2 Between 100 and 500 kilometres away 0 1 0 0 1 Total 7 3 3 0 13 Remark: This table includes those men who report in ch001 to have at least six children and who are the family respondent.

237

Women 50-59 60-69 70-79 80+ TotalIn the same building 1 0 0 0 1Between 1 and 5 kilometres away 0 0 1 1 2Between 5 and 25 kilometres away 0 2 0 0 2Between 25 and 100 kilometres away 0 1 0 0 1Between 100 and 500 kilometres away 0 0 2 0 2More than 500 kilometres away in another country 0 0 1 0 1Total 1 3 5 1 10Remark: This table includes those women who report in ch001 to have at least six children and who are the family respondent. CH005_7: Sex of child 7 “Is child 7 male or female?” Men 50-59 60-69 70-79 80+ TotalMale 2 0 2 0 4Female 1 1 0 0 2Total 3 1 2 0 6Remark: This table includes those men who report in ch001 to have at least seven children and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalMale 1 1 0 0 2Female 0 2 2 1 5Total 1 2 2 1 7Remark: This table includes those women who report in ch001 to have at least seven children and who are the family respondent. CH006_7: Year of birth child 7 “In wich year was child 7 born?” Men 50-59 60-69 70-79 80+ Total1960-1969 0 0 1 0 11970-1979 1 0 0 0 11980-1989 1 1 1 0 32000 and later 1 0 0 0 1Total 3 1 2 0 6Remark: The values range from 1962 to 2003. This table includes those men who report in ch001 to have at least seven children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total1960-1969 0 0 2 1 31970-1979 1 2 0 0 31980-1989 0 1 0 0 1Total 1 2 2 1 7Remark: The values range from 1961 to 1986. This table includes those women who report in ch001 to have at least seven children and who are the family respondent. CH007_7: Where does child 7 live “Where does child 7 live?” Men 50-59 60-69 70-79 80+ TotalIn the same household 2 0 0 0 2Between 5 and 25 kilometres away 1 1 0 0 2Between 25 and 100 kilometres away 0 0 2 0 2Total 3 1 2 0 6Remark: This table includes those men who report in ch001 to have at least seven children and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalIn the same household 0 2 0 0 2Less than 1 kilometre away 0 1 0 0 1Between 1 and 5 kilometres away 1 0 0 1 2Between 5 and 25 kilometres away 0 0 2 0 2Total 1 2 2 1 7Remark: This table includes those women who report in ch001 to have at least seven children and who are the family respondent.

238

CH005_8: Sex of child 8 “Is child 8 male or female?” Men 50-59 60-69 70-79 80+ Total Male 1 0 1 0 2 Female 0 1 0 0 1 Total 1 1 1 0 3 Remark: This table includes those men who report in ch001 to have at least eight children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Male 0 1 0 0 1 Female 1 0 2 1 4 Total 1 1 2 1 5 Remark: This table includes those women who report in ch001 to have at least eight children and who are the family respondent. CH006_8: Year of birth child 8 “In wich year was child 8 born?” Men 50-59 60-69 70-79 80+ Total 1970-1979 1 0 0 0 1 1980-1989 0 1 1 0 2 Total 1 1 1 0 3 Remark: This table includes those men who report in ch001 to have at least eight children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total 1960-1969 0 0 2 1 3 1970-1979 1 0 0 0 1 1980-1989 0 1 0 0 1 Total 1 1 2 1 5 Remark: The values range from 1964 to 1980. This table includes those women who report in ch001 to have at least eight children and who are the family respondent. CH007_8: Where does child 8 live “Where does child 8 live?” Men 50-59 60-69 70-79 80+ Total Between 5 and 25 kilometres away 1 1 0 0 2 Between 25 and 100 kilometres away 0 0 1 0 1 Total 1 1 1 0 3 Remark: This table includes those men who report in ch001 to have at least eight children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Between 1 and 5 kilometres away 0 0 0 1 1 Between 5 and 25 kilometres away 1 1 2 0 4 Total 1 1 2 1 5 Remark: This table includes those women who report in ch001 to have at least eight children and who are the family respondent. CH005_9: Sex of child 9 “Is child 9 male or female?” Men 50-59 60-69 70-79 80+ Total Female 1 1 0 0 2 Total 1 1 0 0 2 Remark: This table includes those men who report in ch001 to have at least nine children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Female 1 0 1 0 2 Total 1 0 1 0 2 Remark: This table includes those women who report in ch001 to have at least nine children and who are the family respondent.

239

CH006_9: Year of birth child 9 “In wich year was child 9 born?” Men 50-59 60-69 70-79 80+ Total1980-1989 1 1 0 0 2Total 1 1 0 0 2Remark: This table includes those men who report in ch001 to have at least nine children and who are the family respondent. Women 50-59 60-69 70-79 80+ Total1960-1969 1 0 1 0 2Total 1 0 1 0 2Remark: This table includes those women who report in ch001 to have at least nine children and who are the family respondent. CH007_9: Where does child 9 live “Where does child 9 live?” Men 50-59 60-69 70-79 80+ TotalBetween 5 and 25 kilometres away 1 1 0 0 2Total 1 1 0 0 2Remark: This table includes those men who report in ch001 to have at least nine children and who are the family respondent. Women 50-59 60-69 70-79 80+ TotalIn the same building 1 0 0 0 1Between 5 and 25 kilometres away 0 0 1 0 1Total 1 0 1 0 2Remark: This table includes those women who report in ch001 to have at least nine children and who are the family respondent. CH005_10: Sex of child 10 “Is child 10 male or female?” Men 50-59 60-69 70-79 80+ TotalMale 0 1 0 0 1Total 0 1 0 0 1Remark: This table includes this man who reports in ch001 to have ten children and who is the family respondent. Women 50-59 60-69 70-79 80+ TotalMale 1 0 0 0 1Female 0 0 1 0 1Total 1 0 1 0 2Remark: This table includes those women who report in ch001 to have at least ten children and who are the family respondent. CH006_10: Year of birth child 10 “In wich year was child 10 born?” Men 50-59 60-69 70-79 80+ Total1980-1989 0 1 0 0 1Total 0 1 0 0 1Remark: This table includes this man who reports in ch001 to have ten children and who is the family respondent. Women 50-59 60-69 70-79 80+ Total1960-1969 1 0 1 0 2Total 1 0 1 0 2Remark: This table includes those women who report in ch001 to have at least ten children and who are the family respondent. CH007_10: Where does child 10 live “Where does child 10 live?” Men 50-59 60-69 70-79 80+ TotalBetween 25 and 100 kilometres away 0 1 0 0 1Total 0 1 0 0 1Remark: This table includes this man who reports in ch001 to have ten children and who is the family respondent.

240

Women 50-59 60-69 70-79 80+ Total Between 5 and 25 kilometres away 1 0 1 0 2 Total 1 0 1 0 2 Remark: This table includes those women who report in ch001 to have at least ten children and who are the family respondent. CH005_11: Sex of child 1122 “Is child 11 male or female?” Women 50-59 60-69 70-79 80+ Total Male 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have at least eleven children and who is the family respondent. CH006_11: Year of birth child 11 “In wich year was child 11 born?” Women 50-59 60-69 70-79 80+ Total 1984 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have at least eleven children and who is the family respondent. CH007_11: Where does child 11 live “Where does child 11 live?” Women 50-59 60-69 70-79 80+ Total In the same building 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have at least eleven children and who is the family respondent. CH005_12: Sex of child 12 “Is child 12 male or female?” Women 50-59 60-69 70-79 80+ Total Male 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have at least twelve children and who is the family respondent.

CH006_12: Year of birth child 12 “In wich year was child 12 born?” Women 50-59 60-69 70-79 80+ Total 1984 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have at least twelve children and who is the family respondent. CH007_12: Where does child 12 live “Where does child 12 live?” Women 50-59 60-69 70-79 80+ Total In the same building 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have at least twelve children and who is the family respondent. CH005_13: Sex of child 13 “Is child 13 male or female?” Women 50-59 60-69 70-79 80+ Total Female 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in ch001 to have thirteen children and who is the family respondent.

22 In the Austrian dataset there are no male family respondents with more than 10 children alive.

241

CH006_13: Year of birth child 13 “In wich year was child 13 born?” Women 50-59 60-69 70-79 80+ Total1971 1 0 0 0 1Total 1 0 0 0 1Remark: This table includes this woman who reports in ch001 to have thirteen children and who is the family respondent. CH007_13: Where does child 13 live23 “Where does child 13 live?” Women 50-59 60-69 70-79 80+ TotalBetween 5 and 25 kilometres away 1 0 0 0 1Total 1 0 0 0 1Remark: This table includes this woman who reports in ch001 to have thirteen children and who is the family respondent. CH010_1: Step, adoptive or foster child “Is child 1 …” Men 50-59 60-69 70-79 80+ TotalA child of your own 1 1 0 0 2A step child 2 1 0 0 3An adopted child 0 0 1 0 1Total 4 1 1 0 6Remark: This table includes those men, who report in ch002 to have at least one non-natural child and who are living single. Women 50-59 60-69 70-79 80+ TotalA child of your own 1 2 2 0 5A step child 0 1 1 0 2An adopted child 0 3 1 0 5Total 1 6 5 0 12Remark: This table includes those women, who report in ch002 to have at least one non-natural child and who are living single. CH011_1: Own selected child “Is child 1 …?” Men 50-59 60-69 70-79 80+ TotalA child of your own and your current partner 1 4 3 0 8A child of your own from a previous relationship 5 3 1 0 9A child of your current partner from a previous relationship

9 4 4 0 17

An adopted child 1 1 1 0 3A foster child 0 1 0 0 1Total 16 13 9 0 38Remark: This table includes those men, who report in ch002 to have at least one non-natural child and who are not living single. Women 50-59 60-69 70-79 80+ TotalA child of your own and your current partner 1 0 0 0 1A child of your own from a previous relationship 7 3 1 0 11A child of your current partner from a previous relationship

1 0 1 0 2

An adopted child 0 1 0 0 1Total 9 4 2 0 15Remark: This table includes those women, who report in ch002 to have at least one non-natural child and who are not living single.

23 In the Austrian dataset there are no female family respondents with more than 13 children alive and no male family respondents with more than 10 children alive.

242

CH012_1: Marital status of child 1 “Please look at card 4. What is the marital status of child 1?” Men 50-59 60-69 70-79 80+ Total Married and living together with spouse 78 102 81 21 282 Married, living separated from spouse 5 3 5 2 16 Never married 115 55 20 3 193 Divorced 6 20 11 0 37 Widowed 0 1 3 0 4 Don't know 1 1 1 0 3 Total 205 181 121 27 535 Remark: This table includes those male family respondents, whose child 1 was born before 1988. Women 50-59 60-69 70-79 80+ Total Married and living together with spouse 77 106 126 64 373 Married, living separated from spouse 5 3 5 2 14 Never married 111 51 27 14 203 Divorced 10 17 32 12 70 Widowed 0 2 1 2 5 Refusal 1 0 0 0 1 Don't know 0 0 1 0 1 Total 204 178 192 94 668 Remark: This table includes those female family respondents, whose child 1 was born before 1988. CH013_1: Does child 1 have partner “Does child 1 have a partner who lives with him/her?” Men 50-59 60-69 70-79 80+ Total Yes 41 26 13 3 83 No 82 51 26 2 161 Total 123 77 38 6 244 Remark: This table includes those male family respondents, who answer in ch012_1 that child 1 is not “married and living together with a spouse” and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total Yes 41 27 18 6 92 No 83 45 46 24 197 Total 124 71 64 30 289 Remark: This table includes those female family respondents, who answer in ch012_1 that child 1 is not “married and living together with a spouse” and who gave a valid answer. CH014_1: Contact with child 1 “During the past twelve months, how often did you or your husband/wife/partner have contact with child 1, either personally, by phone or mail?” Men 50-59 60-69 70-79 80+ Total Daily 40 35 20 7 102 Several times a week 51 51 30 7 138 About once a week 29 43 28 3 103 About every two weeks 15 14 17 3 51 About once a month 16 10 10 5 41 Less than once a month 10 8 10 1 29 Never 5 5 1 1 12 Total 167 165 117 27 476 Remark: This table includes those male family respondents, who report in ch007_1 that child 1 is not “living in the same household” and who gave a valid answer.

243

Women 50-59 60-69 70-79 80+ TotalDaily 46 44 49 33 171Several times a week 53 47 43 25 168About once a week 34 30 34 10 108About every two weeks 17 15 15 9 56About once a month 12 11 19 5 47Less than once a month 4 7 11 3 26Never 2 2 1 1 7Total 169 155 173 86 583Remark: This table includes those female family respondents, who report in ch007_1 that child 1 is not “living in the same household” and who gave a valid answer. CH015_1: Year child 1 moved from household “In wich year did child 1 move from the parental houshold?” Men 50-59 60-69 70-79 80+ Total1950-1959 0 0 3 1 41960-1969 0 3 9 3 161970-1979 1 15 40 11 681980-1989 25 76 45 5 1501990-1999 88 50 12 2 1532000 and later 47 16 5 2 70Don't know 5 5 3 2 15Total 167 165 117 27 476Remark: The values range from 1951 to 2005. This table includes those male family respondents, who report in ch007_1 that child 1 is not “living in the same household” and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total1940-1949 0 0 0 1 11950-1959 0 0 0 7 71960-1969 0 0 16 30 461970-1979 1 23 74 18 1171980-1989 43 82 44 9 1781990-1999 80 37 13 4 1352000 and later 43 11 19 9 81Refusal 0 1 1 1 3Don't know 2 2 6 7 16Total 169 155 173 86 583Remark: The values range from 1947 to 2005. This table includes those female family respondents, who report in ch007_1 that child 1 is not “living in the same household” and who gave a valid answer. CH016_1: Child 1 employment status “Please look at card 27. What is child’s 1 employment status?” Men 50-59 60-69 70-79 80+ TotalFull-time employed 129 120 80 18 347Part-time employed 18 20 21 2 61Self-employed or working for own family business 6 9 4 0 19Unemployed 4 6 1 1 12In vocational training/retraining/education 24 6 0 0 29Parental leave 11 6 0 0 17In retirement or early retirement 0 0 5 2 7Permanent sick or disabled 0 3 0 0 3Looking after home or family 7 9 9 3 28Other 4 2 0 0 6Don't know 3 1 1 0 4Total 205 181 121 27 535Remark: This table includes those male family respondents, whose child 1 was born before 1988.

244

Women 50-59 60-69 70-79 80+ Total Full-time employed 126 128 128 42 424 Part-time employed 20 25 33 7 85 Self-employed or working for own family business 7 5 7 4 23 Unemployed 8 5 2 1 16 In vocational training/retraining/education 24 5 0 0 30 Parental leave 7 4 0 0 11 In retirement or early retirement 0 0 8 34 42 Looking after home or family 8 5 14 7 34 Other 2 1 0 0 3 Don't know 1 0 0 0 1 Total 204 178 192 94 668 Remark: This table includes those female family respondents, whose child 1 was born before 1988. CH017_1: Child 1 education “Please look at card 2. What is the highest school leaving certificate or school degree child 1 has obtained?” Men 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 4 1 5 0 10 Education country specific cat2: Hauptschule 96 84 64 8 251 Education country specific cat3: Gymnasium (öffent.) mit Matura

42 22 16 6 85


12 14 6 3 35


22 38 18 6 85


24 17 5 3 49

No degree yet/still in school 0 1 0 0 1 None 1 2 1 1 6 Other type (also abroad) 3 2 5 0 10 Don't know 1 1 1 0 3 Total 205 181 121 27 535 Remark: This table includes those male family respondents, whose child 1 was born before 1988. Women 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 3 3 6 5 18 Education country specific cat2: Hauptschule 81 88 103 47 319 Education country specific cat3: Gymnasium (öffent.) mit Matura

30 36 33 14 113


9 6 7 8 30


43 20 22 5 90


28 22 15 14 79

No degree yet/still in school 5 1 0 0 5 None 0 2 1 0 3 Other type (also abroad) 5 1 6 1 12 Total 204 178 192 94 668 Remark: This table includes those female family respondents, whose child 1 was born before 1988. CH018d11: Child 1, further education C1 “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ Total Not selected 252 176 111 43 582 Selected 86 78 54 9 226 Total 338 254 164 52 808

245

Women 50-59 60-69 70-79 80+ TotalNot selected 307 230 183 95 815Selected 71 76 98 41 287Total 378 306 281 136 1,102 CH018d12: Child 1, further education c2 “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 330 245 158 49 782Selected 8 9 6 3 26Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 369 289 274 132 1,064Selected 9 17 7 4 38Total 378 306 281 136 1,102 CH018d13: Child 1, further education c3 “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Fachakademie: Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …) Men 50-59 60-69 70-79 80+ TotalNot selected 311 231 148 50 741Selected 26 23 16 2 67Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 347 274 248 118 986Selected 32 32 33 19 116Total 378 306 281 136 1,102 CH018d14: Child 1, further education c4 “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Fachhochschulabschluss) Men 50-59 60-69 70-79 80+ TotalNot selected 320 226 146 45 737Selected 17 28 18 8 71Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 358 280 258 130 1,026Selected 21 25 23 7 76Total 378 306 281 136 1,102 CH018d15: Child 1, further education C5 “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Universität) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

246

CH018d19: Child 1, still in further education24 “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Still in further education) Men 50-59 60-69 70-79 80+ Total Not selected 323 250 163 52 789 Selected 15 4 1 0 19 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 363 304 281 136 1,085 Selected 15 2 0 0 17 Total 378 306 281 136 1,102 CH018d1a: Child 1, no further education “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (No further education) Men 50-59 60-69 70-79 80+ Total Not selected 302 226 140 48 716 Selected 36 27 24 4 92 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 332 287 256 118 994 Selected 46 19 25 19 108 Total 378 306 281 136 1,102 CH018d1b: Child 1, other further education “Please look at card 3. Which degrees of higher education or vocational training does child 1 have?” (Other further education) Men 50-59 60-69 70-79 80+ Total Not selected 325 245 163 52 785 Selected 13 9 1 0 23 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 365 298 274 129 1,065 Selected 14 8 7 8 37 Total 378 306 281 136 1,102 CH019_1: Number of children of child 1 “How many children – if any – does child 1 have?” Men 50-59 60-69 70-79 80+ Total 0 114 71 28 2 215 1 40 36 31 5 112 2 40 58 41 12 151 3 5 14 17 7 42 4 4 2 2 1 9 22 1 0 0 0 1 Don't know 1 1 1 0 3 Total 205 181 121 27 535 Remark: This table includes those male family respondents, whose child 1 was born before 1988.

24 Variables ch018d16 to ch018d18 do not apply for Austria.

247

Women 50-59 60-69 70-79 80+ Total0 110 58 42 22 2311 43 34 45 24 1462 32 65 69 33 1993 15 15 27 11 684 3 5 5 4 185 0 0 1 1 26 0 0 1 0 17 0 0 1 0 1Refusal 1 0 0 0 1Total 204 178 192 94 668Remark: This table includes those female family respondents, whose child 1 was born before 1988. CH020_1: Year of birth of youngest child of child 1 “In wich year was the youngest child of child 1 born?” Men 50-59 60-69 70-79 80+ Total1960-1969 0 0 1 1 21970-1979 0 2 16 7 261980-1989 0 23 33 9 651990-1999 54 60 31 7 1512000 and later 38 24 5 1 69Refusal 0 1 1 0 2Don't know 0 2 6 0 8Total 92 111 93 25 322Remark: The values range from 1964 to 2004. This table includes those male family respondents, who report in ch019_1 that child 1 has at least one child and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total1950-1959 0 0 0 1 11960-1969 0 0 5 22 261970-1979 0 4 39 29 721980-1989 13 37 61 10 1201990-1999 43 65 40 5 1532000 and later 38 13 3 1 55Don't know 0 2 3 4 9Total 93 121 151 73 438Remark: The values range from 1959 to 2004. This table includes those female family respondents, who report in ch019_1 that child 1 has at least one child and who gave a valid answer. CH010_2: Step, adoptive or foster child “Is child 2…” Men 50-59 60-69 70-79 80+ TotalA child of your own 0 1 0 0 1A step child 2 0 0 0 2An adopted child 1 0 1 0 2Total 3 1 1 0 5Remark: This table includes those men with at least two children, who report in ch002 to have at least one non-natural child and who are living single. Women 50-59 60-69 70-79 80+ TotalA child of your own 1 2 2 0 5A step child 0 1 1 0 2An adopted child 0 2 0 0 2Total 1 4 4 0 9Remark: This table includes those women with at least two children, who report in ch002 to have at least one non-natural child and who are living single.

248

CH011_2: Own selected child “Is child 2 …?” Men 50-59 60-69 70-79 80+ Total A child of your own and your current partner 4 7 2 0 12 A child of your own from a previous relationship 4 1 0 0 5 A child of your current partner from a previous relationship

3 5 1 0 8

An adopted child 4 1 1 0 6 Total 14 13 4 0 31 Remark: This table includes those men with at least two children, who report in ch002 to have at least one non-natural child and who are not living single. Women 50-59 60-69 70-79 80+ Total A child of your own and your current partner 5 1 0 0 5 A child of your own from a previous relationship 3 2 1 0 7 Total 8 3 1 0 12 Remark: This table includes those women with at least two children, who report in ch002 to have at least one non-natural child and who are not living single. CH012_2: Marital status of child 2 “Please look at card 4. What is the marital status of child 2?” Men 50-59 60-69 70-79 80+ Total Married and living together with spouse 40 69 62 12 183 Married, living separated from spouse 3 2 1 0 5 Never married 108 58 14 2 182 Divorced 3 9 10 1 23 Widowed 0 2 1 1 4 Don't know 1 1 0 0 2 Total 155 139 88 17 399 Remark: This table includes those male family respondents, whose child 2 was born before 1988. Women 50-59 60-69 70-79 80+ Total Married and living together with spouse 46 69 88 43 245 Married, living separated from spouse 1 2 3 3 9 Never married 82 38 23 9 152 Divorced 7 13 19 3 43 Widowed 0 2 1 3 7 Total 136 124 134 62 456 Remark: This table includes those female family respondents, whose child 2 was born before 1988. CH013_2: Does child 2 have partner “Does child 2 have a partner who lives with him/her?” Men 50-59 60-69 70-79 80+ Total Yes 33 21 5 1 60 No 75 47 21 3 146 Don't know 1 0 0 0 1 Total 110 67 25 4 207 Remark: This table includes those male family respondents, who answer in ch012_2 that child 2 is not “married and living together with a spouse” and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total Yes 27 22 20 5 75 No 61 33 26 13 133 Total 89 55 46 18 208 Remark: This table includes those male family respondents, who answer in ch012_2 that child 2 is not “married and living together with a spouse”.

249

CH014_2: Contact with child 2 “During the past twelve months, how often did you or your husband/wife/partner have contact with child 2, either personally, by phone or mail?” Men 50-59 60-69 70-79 80+ TotalDaily 27 24 21 7 80Several times a week 32 41 19 2 94About once a week 21 32 19 3 77About every two weeks 14 14 11 2 41About once a month 8 9 10 1 28Less than once a month 15 4 2 0 21Never 3 2 0 1 6Total 120 126 84 17 347Remark: This table includes those male family respondents, who report in ch007_2 that child 2 is not “living in the same household” and who gave a valid answer. Women 50-59 60-69 70-79 80+ TotalDaily 44 32 34 9 119Several times a week 28 32 33 12 105About once a week 21 32 31 22 105About every two weeks 11 9 16 7 43About once a month 4 7 11 4 27Less than once a month 2 3 5 1 11Never 0 2 1 1 4Total 110 117 132 56 414Remark: This table includes those female family respondents, who report in ch007_2 that child 2 is not “living in the same household” and who gave a valid answer. CH015_2: Year child 2 moved from household “In wich year did child 2 move from the parental houshold?” Men 50-59 60-69 70-79 80+ Total1910-1919 0 1 0 0 11950-1959 0 1 0 0 11960-1969 0 1 6 1 81970-1979 0 5 19 7 311980-1989 10 35 35 3 831990-1999 67 62 15 2 1472000 and later 39 19 5 1 63Don't know 4 3 3 2 12Total 120 126 84 17 347Remark: The values range from 1919 to 2005. This table includes those male family respondents, who report in ch007_2 that child 2 is not “living in the same household” and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total1940-1949 0 0 0 1 11950-1959 0 0 1 2 31960-1969 0 1 1 16 181970-1979 0 7 37 14 581980-1989 13 50 60 12 1351990-1999 48 46 17 3 1152000 and later 45 8 9 2 64Refusal 0 1 1 1 3Don't know 3 4 6 3 16Total 110 117 132 56 414Remark: The values range from 1947 to 2005. This table includes those female family respondents, who report in ch007_2 that child 2 is not “living in the same household” and who gave a valid answer.

250

CH016_2: Child 2 employment status “Please look at card 27. What is child’s 2 employment status?” Men 50-59 60-69 70-79 80+ Total Full-time employed 94 91 64 14 263 Part-time employed 14 11 9 1 36 Self-employed or working for own family business 1 4 1 2 9 Unemployed 6 4 1 0 11 In vocational training/retraining/education 22 10 0 0 32 Parental leave 5 6 2 0 13 In retirement or early retirement 0 1 1 0 2 Permanent sick or disabled 1 0 0 0 1 Looking after home or family 6 7 9 0 23 Other 3 4 1 0 8 Don't know 1 1 0 0 2 Total 155 139 88 17 399 Remark: This table includes those male family respondents, whose child 2 was born before 1988. Women 50-59 60-69 70-79 80+ Total Full-time employed 77 85 95 29 286 Part-time employed 13 14 16 7 49 Self-employed or working for own family business 2 5 7 3 17 Unemployed 5 5 1 0 10 In vocational training/retraining/education 22 4 0 0 25 Parental leave 9 5 0 0 15 In retirement or early retirement 0 1 2 17 20 Permanent sick or disabled 0 0 1 1 2 Looking after home or family 6 6 9 3 25 Other 1 1 2 1 5 Don't know 0 0 1 0 1 Total 136 124 134 62 456 Remark: This table includes those female family respondents, whose child 2 was born before 1988. CH017_2: Child 2 education “Please look at card 2. What is the highest school leaving certificate or school degree child 2 has obtained?” Men 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 4 0 2 0 6 Education country specific cat2: Hauptschule 67 71 51 8 197 Education country specific cat3: Gymnasium (öffent.) mit Matura

34 22 12 2 70


9 9 2 1 21


22 18 7 2 49


13 12 12 3 41

No degree yet/still in school 1 2 0 0 4 None 3 2 0 0 5 Other type (also abroad) 1 1 2 0 4 Don't know 1 1 0 0 2 Total 155 139 88 17 399 Remark: This table includes those male family respondents, whose child 2 was born before 1988.

251

Women 50-59 60-69 70-79 80+ TotalEducation country specific cat1: Volksschule 1 2 7 3 13Education country specific cat2: Hauptschule 66 64 82 34 246Education country specific cat3: Gymnasium (öffent.) mit Matura

14 16 15 9 53


5 5 5 4 18


22 15 10 3 50


23 20 15 8 65

No degree yet/still in school 3 0 0 0 3None 1 0 0 0 1Other type (also abroad) 1 3 1 1 6Total 136 124 134 62 456Remark: This table includes those female family respondents, whose child 2 was born before 1988. CH018d21: Child 2, further education C1 “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 285 196 120 46 647Selected 53 57 44 7 161Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 311 245 205 113 873Selected 68 61 77 23 229Total 378 306 281 136 1,102 CH018d22: Child 2, further education c2 “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 330 245 158 50 783Selected 8 9 6 2 25Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 298 273 132 1,077Selected 5 8 8 4 25Total 378 306 281 136 1,102 CH018d23: Child 2, further education c3 “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Fachakademie: Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …) Men 50-59 60-69 70-79 80+ TotalNot selected 307 241 149 50 747Selected 30 13 15 2 61Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 363 291 262 127 1,042Selected 16 15 19 10 60Total 378 306 281 136 1,102

252

CH018d24: Child 2, further education c4 “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Fachhochschulabschluss) Men 50-59 60-69 70-79 80+ Total Not selected 328 231 154 49 763 Selected 9 23 10 3 45 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 370 290 274 129 1,063 Selected 8 16 7 8 39 Total 378 306 281 136 1,102 CH018d25: Child 2, further education C5 “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Universität) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 CH018d29: Child 2, still in further education25 “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Still in further education) Men 50-59 60-69 70-79 80+ Total Not selected 325 248 164 52 790 Selected 13 5 0 0 18 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 362 304 281 136 1,084 Selected 16 2 0 0 18 Total 378 306 281 136 1,102 CH018d2a: Child 2, no further education “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (No further education) Men 50-59 60-69 70-79 80+ Total Not selected 311 234 152 50 747 Selected 26 20 12 2 61 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 359 290 262 124 1,034 Selected 20 16 19 12 68 Total 378 306 281 136 1,102


253

CH018d2b: Child 2, other further education “Please look at card 3. Which degrees of higher education or vocational training does child 2 have?” (Other further education) Men 50-59 60-69 70-79 80+ TotalNot selected 325 245 163 52 786Selected 12 9 1 0 22Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 298 277 130 1,079Selected 5 8 5 7 23Total 378 306 281 136 1,102 CH019_2: Number of children of child 2 “How many children – if any – does child 2 have?” Men 50-59 60-69 70-79 80+ Total0 112 72 20 1 2051 17 26 20 7 712 19 27 35 5 863 4 11 10 2 274 1 2 2 1 65 0 0 0 1 1Don't know 1 1 0 0 2Total 155 139 88 17 399Remark: This table includes those male family respondents, whose child 2 was born before 1988. Women 50-59 60-69 70-79 80+ Total0 83 38 26 16 1631 25 42 36 11 1152 24 32 48 22 1253 3 8 19 11 414 1 2 3 2 95 0 2 0 0 27 0 0 1 0 1Total 136 124 134 62 456Remark: This table includes those female family respondents, whose child 2 was born before 1988. CH020_2: Year of birth of youngest child of child 2 “In wich year was the youngest child of child 2 born?” Men 50-59 60-69 70-79 80+ Total1950-1959 0 0 0 1 11960-1969 0 0 1 0 11970-1979 1 1 8 3 141980-1989 1 10 19 8 381990-1999 20 31 28 1 802000 and later 20 26 12 2 61Don't know 1 0 1 0 2Total 43 68 70 16 197Remark: The values range from 1956 to 2004. This table includes those male family respondents who report in ch019_2 that child 2 has at least one child and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total1960-1969 0 0 1 6 71970-1979 0 2 12 17 301980-1989 4 15 50 13 821990-1999 27 54 39 7 1272000 and later 22 17 5 1 45Refusal 0 0 0 1 1Don't know 0 0 3 2 6Total 54 88 110 46 297Remark: The values range from 1964 to 2004. This table includes those female family respondents who report in ch019_2 that child 2 has at least one child.

254 CH010_3: Step, adoptive or foster child “Is child 3 …” Men 50-59 60-69 70-79 80+ Total A step child 2 0 0 0 2 A foster child 0 0 1 0 1 Total 2 0 1 0 3 Remark: This table includes those men with at least three children, who report in ch002 to have at least one non-natural child and who are living single. Women 50-59 60-69 70-79 80+ Total A child of your own 1 0 1 0 2 A step child 0 1 0 0 1 An adopted child 0 1 1 0 2 Total 1 2 2 0 5 Remark: This table includes those women with at least three children, who report in ch002 to have at least one non-natural child and who are living single. CH011_3: Own selected child “Is child 3 …?” Men 50-59 60-69 70-79 80+ Total A child of your own and your current partner 5 1 2 0 8 A child of your own from a previous relationship 1 1 0 0 2 A child of your current partner from a previous relationship

1 6 1 0 8

An adopted child 3 1 0 0 3 A foster child 0 1 0 0 1 Total 10 9 3 0 22 Remark: This table includes those men with at least three children, who report in ch002 to have at least one non-natural child and who are not living single. Women 50-59 60-69 70-79 80+ Total A child of your own and your current partner 0 0 1 0 1 A child of your own from a previous relationship 3 1 0 0 5 Total 3 1 1 0 6 Remark: This table includes those women with at least three children, who report in ch002 to have at least one non-natural child and who are not living single. CH012_3: Marital status of child 3 “Please look at card 4. What is the marital status of child 3?” Men 50-59 60-69 70-79 80+ Total Married and living together with spouse 6 25 34 2 68 Married, living separated from spouse 0 2 0 0 2 Never married 55 24 7 5 90 Divorced 2 2 2 1 8 Widowed 0 0 1 0 1 Refusal 0 1 0 0 1 Don't know 0 2 0 0 2 Total 63 56 44 8 171 Remark: This table includes those male family respondents, whose child 3 was born before 1988. Women 50-59 60-69 70-79 80+ Total Married and living together with spouse 16 26 38 12 91 Married, living separated from spouse 0 0 2 0 2 Never married 30 20 10 10 70 Divorced 1 7 13 0 21 Widowed 0 0 0 1 1 Total 47 52 63 23 185 Remark: This table includes those female family respondents, whose child 1 was born before 1988.

255

CH013_3: Does child 3 have partner “Does child 3 have a partner who lives with him/her?” Men 50-59 60-69 70-79 80+ TotalYes 18 10 4 1 32No 36 17 6 4 63Total 54 27 10 5 95Remark: This table includes those male family respondents, who answer in ch012_3 that child 3 is not “married and living together with a spouse” and who gave a valid answer. Women 50-59 60-69 70-79 80+ TotalYes 6 8 9 1 25No 25 18 16 10 69Total 31 27 25 11 94Remark: This table includes those female family respondents, who answer in ch012_3 that child 3 is not “married and living together with a spouse”. CH014_3: Contact with child 3 “During the past twelve months, how often did you or your husband/wife/partner have contact with child 3, either personally, by phone or mail?” Men 50-59 60-69 70-79 80+ TotalDaily 14 7 7 1 29Several times a week 6 16 14 0 37About once a week 10 13 11 1 36About every two weeks 5 7 4 2 19About once a month 7 5 1 1 14Less than once a month 5 1 3 0 9Never 0 2 2 0 4Refusal 0 1 0 0 1Total 48 51 43 6 148Remark: This table includes those male family respondents, who report in ch007_3 that child 3 is not “living in the same household” and who gave a valid answer. Women 50-59 60-69 70-79 80+ TotalDaily 11 12 12 5 39Several times a week 10 9 9 3 31About once a week 9 13 15 2 39About every two weeks 4 7 12 2 24About once a month 2 2 8 2 15Less than once a month 1 4 5 1 11Never 0 1 0 1 2Total 36 47 60 18 161Remark: This table includes those female family respondents, who report in ch007_3 that child 3 is not “living in the same household” and who gave a valid answer. It furthermore includes persons who answer in ch007_3 that that child 3 is living in the same household. These inconsistencies have to be considered for specific analyses.

CH015_3: Year child 3 moved from household “In wich year did child 3 move from the parental houshold?” Men 50-59 60-69 70-79 80+ Total1960-1969 0 1 1 0 21970-1979 0 1 9 3 131980-1989 5 13 18 2 391990-1999 23 22 9 0 542000 and later 19 13 3 0 35Refusal 0 1 0 0 1Don't know 1 1 2 0 4Total 48 51 43 6 148Remark: The values range from 1965 to 2005. This table includes those male family respondents, who report in ch007_3 that child 3 is not “living in the same household” and who gave a valid answer.

256

Women 50-59 60-69 70-79 80+ Total 1950-1959 0 0 0 1 1 1960-1969 0 1 2 4 7 1970-1979 0 3 12 4 19 1980-1989 5 15 32 2 55 1990-1999 15 15 8 2 41 2000 and later 16 10 2 1 29 Refusal 0 0 0 1 1 Don't know 0 2 3 1 7 Total 36 47 60 18 161 Remark: The values range from 1950 – 2005. This table includes those female family respondents, who report in ch007_3 that child 3 is not “living in the same household” and who gave a valid answer. It furthermore includes persons who answer in ch007_3 that that child 3 is living in the same household. These inconsistencies have to be considered for specific analyses.

CH016_3: Child 3 employment status “Please look at card 27. What is child’s 3 employment status?” Men 50-59 60-69 70-79 80+ Total Full-time employed 36 31 32 7 106 Part-time employed 5 9 6 0 20 Self-employed or working for own family business 0 0 3 0 3 Unemployed 5 2 1 0 8 In vocational training/retraining/education 15 6 0 0 21 Parental leave 1 2 0 0 3 In retirement or early retirement 0 1 0 0 1 Looking after home or family 0 3 2 1 6 Other 1 1 0 0 2 Refusal 0 1 0 0 1 Don't know 0 1 0 0 1 Total 63 56 44 8 171 Remark: This table includes those male family respondents, whose child 3 was born before 1988. Women 50-59 60-69 70-79 80+ Total Full-time employed 28 39 48 10 125 Part-time employed 7 5 2 2 16 Self-employed or working for own family business 1 2 1 2 6 Unemployed 2 2 2 0 7 In vocational training/retraining/education 6 0 0 0 6 Parental leave 2 2 1 0 5 In retirement or early retirement 0 1 1 8 10 Looking after home or family 0 2 7 1 10 Other 0 1 0 0 1 Total 47 52 63 23 185 Remark: This table includes those female family respondents, whose child 1 was born before 1988.

257

CH017_3: Child 3 education “Please look at card 2. What is the highest school leaving certificate or school degree child 3 has obtained?” Men 50-59 60-69 70-79 80+ TotalEducation country specific cat1: Volksschule 1 0 1 0 2Education country specific cat2: Hauptschule 36 32 26 3 98Education country specific cat3: Gymnasium (öffent.) mit Matura

13 6 6 1 25


1 2 1 0 5


5 10 6 1 23


6 2 4 2 14

No degree yet/still in school 0 1 0 0 1None 0 1 0 0 1Other type (also abroad) 0 1 0 0 1Refusal 0 1 0 0 1Don't know 0 1 0 0 1Total 63 56 44 8 171Remark: This table includes those male family respondents, whose child 3 was born before 1988. Women 50-59 60-69 70-79 80+ TotalEducation country specific cat1: Volksschule 1 0 3 2 7Education country specific cat2: Hauptschule 30 35 42 16 123Education country specific cat3: Gymnasium (öffent.) mit Matura

1 8 7 0 16


2 0 2 0 5


7 3 5 2 17


3 5 3 1 12

No degree yet/still in school 2 0 0 0 2None 0 1 0 0 1Other type (also abroad) 0 2 0 1 3Total 47 52 63 23 185Remark: This table includes those female family respondents, whose child 1 was born before 1988. CH018d31: Child 3, further education C1 “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 312 230 143 50 735Selected 26 24 21 2 73Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 351 274 246 124 994Selected 28 32 35 12 108Total 378 306 281 136 1,102 CH018d32: Child 3, further education c2 “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 336 252 159 51 799Selected 1 2 5 1 9Total 338 254 164 52 808

258

Women 50-59 60-69 70-79 80+ Total Not selected 377 303 278 136 1,094 Selected 1 3 3 0 8 Total 378 306 281 136 1,102 CH018d33: Child 3, further education c3 “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Fachakademie: Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …) Men 50-59 60-69 70-79 80+ Total Not selected 329 241 157 51 778 Selected 9 13 7 1 30 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 301 274 134 1,084 Selected 5 5 7 2 18 Total 378 306 281 136 1,102 CH018d34: Child 3, further education c4 “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Fachhochschulabaschluss) Men 50-59 60-69 70-79 80+ Total Not selected 336 249 162 52 800 Selected 1 5 2 0 8 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 302 278 134 1,091 Selected 1 4 3 2 11 Total 378 306 281 136 1,102 CH018d35: Child 3, further education C5 “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Universität) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 CH018d39: Child 3, still in further education26 “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Still in further education) Men 50-59 60-69 70-79 80+ Total Not selected 326 252 164 52 795 Selected 11 2 0 0 13 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 306 281 136 1,099 Selected 3 0 0 0 3 Total 378 306 281 136 1,102 26 Variables ch018d36 to ch018d38 do not apply for Austria.

259

CH018d3a: Child 3, no further education “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (No further education) Men 50-59 60-69 70-79 80+ TotalNot selected 324 248 156 50 778Selected 14 6 8 2 30Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 300 270 132 1,073Selected 7 6 11 4 29Total 378 306 281 136 1,102 CH018d3b: Child 3, other further education “Please look at card 3. Which degrees of higher education or vocational training does child 3 have?” (Other further education) Men 50-59 60-69 70-79 80+ TotalNot selected 338 251 163 51 803Selected 0 3 1 1 5Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 303 279 134 1,092Selected 2 3 2 2 10Total 378 306 281 136 1,102 CH019_3: Number of children of child 3 “How many children – if any – does child 3 have?” Men 50-59 60-69 70-79 80+ Total0 47 24 12 2 851 13 16 11 3 432 1 10 15 2 283 3 4 5 0 124 0 0 1 0 1Refusal 0 1 0 0 1Don't know 0 1 0 0 1Total 63 56 44 8 171Remark: This table includes those male family respondents, whose child 3 was born before 1988. Women 50-59 60-69 70-79 80+ Total0 31 24 14 10 791 5 10 14 3 322 9 15 24 7 543 1 3 9 1 144 0 1 1 1 35 0 0 0 1 18 0 0 1 0 1Total 47 52 63 23 185Remark: This table includes those female family respondents, whose child 3 was born before 1988. CH020_3: Year of birth of youngest child of child 3 “In wich year was the youngest child of child 3 born?” Men 50-59 60-69 70-79 80+ Total1970-1979 0 1 4 0 51980-1989 1 2 11 4 181990-1999 9 17 14 2 432000 and later 6 10 4 0 21Don't know 0 1 1 0 2Total 17 32 34 6 88Remark: The values range from 1975 to 2004. This table includes those male family respondents who report in ch019_3 that child 3 has at least on echild and who gave a valid answer.

260 Women 50-59 60-69 70-79 80+ Total 1910-1919 0 0 1 0 1 1960-1969 0 0 0 2 2 1970-1979 0 0 3 5 9 1980-1989 0 6 18 2 26 1990-1999 8 14 20 3 46 2000 and later 7 7 3 0 17 Don't know 0 1 2 0 3 Total 15 28 49 13 105 Remark: The values range from 1919 to 2004. Unplausible values have to be excluded for specific analyses. This table includes those female family respondents who report in ch019_3 that child 3 has at least on echild and who gave a valid answer. CH010_4: Step, adoptive or foster child “Is child 4 …” Men 50-59 60-69 70-79 80+ Total A child of your own 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this man with at least four children, who reports in ch002 to have at least one non-natural child and who is single. Women 50-59 60-69 70-79 80+ Total A child of your own 0 1 1 0 2 A foster child 1 0 0 0 1 Total 1 1 1 0 3 Remark: This table includes those women with at least four children, who report in ch002 to have at least one non-natural child and who are living single. CH011_4: Own selected child “Is child 4 …?” Men 50-59 60-69 70-79 80+ Total A child of your own and your current partner 2 1 2 0 5 A child of your current partner from a previous relationship

4 4 1 0 9

An adopted child 1 0 0 0 1 Total 7 5 3 0 15 Remark: This table includes those men with at least four children, who report in ch002 to have at least one non-natural child and who are not living single. Women 50-59 60-69 70-79 80+ Total A child of your own and your current partner 1 0 0 0 1 A child of your own from a previous relationship 1 1 0 0 2 Total 2 1 0 0 3 Remark: This table includes those women with at least four children, who report in ch002 to have at least one non-natural child and who are not living single. CH012_4: Marital status of child 4 “Please look at card 4. What is the marital status of child 4?” Men 50-59 60-69 70-79 80+ Total Married and living together with spouse 3 7 13 0 23 Never married 20 11 5 2 38 Divorced 0 0 1 0 1 Total 23 18 19 2 62 Remark: This table includes those male family respondents, whose child 4 was born before 1988. Women 50-59 60-69 70-79 80+ Total Married and living together with spouse 5 10 12 6 35 Married, living separated from spouse 0 0 2 0 2 Never married 13 8 6 1 27 Divorced 1 3 5 3 12 Widowed 0 0 1 0 1 Total 19 21 26 11 77 Remark: This table includes those female family respondents, whose child 4 was born before 1988.

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CH013_4: Does child 4 have partner

“Does child 4 have a partner who lives with him/her?” Men 50-59 60-69 70-79 80+ TotalYes 4 4 2 0 9No 16 7 4 2 29Total 19 11 6 2 38Remark: This table includes those male family respondents, who answer in ch012_4 that child 4 is not “married and living together with a spouse”. Women 50-59 60-69 70-79 80+ TotalYes 6 3 8 1 18No 8 7 6 3 24Total 14 10 13 4 42Remark: This table includes those female family respondents, who answer in ch012_4 that child 4 is not “married and living together with a spouse”. CH014_4: Contact with child 4 “During the past twelve months, how often did you or your husband/wife/partner have contact with child 4, either personally, by phone or mail?” Men 50-59 60-69 70-79 80+ TotalDaily 8 4 5 0 17Several times a week 3 6 6 0 15About once a week 4 2 3 0 9About every two weeks 1 1 0 0 2About once a month 1 2 1 1 5Less than once a month 1 1 1 0 3Never 0 0 1 0 1Total 18 16 17 1 52Remark: This table includes those male family respondents, who report in ch007_4 that child 4 is not “living in the same household”. Women 50-59 60-69 70-79 80+ TotalDaily 6 4 2 2 14Several times a week 2 11 6 3 22About once a week 4 1 5 2 11About every two weeks 1 2 3 2 9About once a month 0 2 7 0 9Less than once a month 1 1 3 1 6Total 14 21 26 11 72Remark: This table includes those female family respondents, who report in ch007_4 that child 4 is not “living in the same household”. It furthermore includes persons who answer in ch007_4 that that child 4 is living in the same household. These inconsistencies have to be considered for specific analyses. CH015_4: Year child 4 moved from household “In wich year did child 4 move from the parental houshold?” Men 50-59 60-69 70-79 80+ Total1960-1969 0 1 0 0 11970-1979 0 2 2 0 41980-1989 1 4 5 0 101990-1999 4 3 6 1 142000 and later 13 5 3 0 21Don't know 0 2 1 0 3Total 18 16 17 1 52Remark: The values range from 1969 to 2005. This table includes those male family respondents, who report in ch007_4 that child 4 is not “living in the same household”.

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Women 50-59 60-69 70-79 80+ Total 1950-1959 0 0 0 2 2 1960-1969 0 1 0 0 1 1970-1979 0 1 6 4 11 1980-1989 1 9 15 2 27 1990-1999 8 8 1 0 17 2000 and later 4 2 2 1 9 Refusal 0 0 0 1 1 Don't know 1 1 2 0 4 Total 14 21 26 11 72 Remark: The values range from 1952 to 2005. This table includes those female family respondents, who report in ch007_4 that child 4 is not “living in the same household”. It furthermore includes persons who answer in ch007_4 that that child 4 is living in the same household. These inconsistencies have to be considered for specific analyses. CH016_4: Child 4 employment status “Please look at card 27. What is child’s 4 employment status?” Men 50-59 60-69 70-79 80+ Total Full-time employed 11 10 17 1 40 Part-time employed 1 2 1 0 5 Self-employed or working for own family business 0 1 0 0 1 Unemployed 0 1 0 0 1 In vocational training/retraining/education 9 2 1 0 11 Parental leave 1 2 0 0 3 Permanent sick or disabled 0 1 0 0 1 Other 0 0 0 1 1 Total 23 18 19 2 62 Remark: This table includes those male family respondents, whose child 4 was born before 1988. Women 50-59 60-69 70-79 80+ Total Full-time employed 9 13 19 5 47 Part-time employed 2 4 1 1 8 Self-employed or working for own family business 0 1 3 1 5 Unemployed 1 0 0 0 1 In vocational training/retraining/education 1 2 0 0 3 Parental leave 3 0 0 0 3 In retirement or early retirement 0 0 0 1 1 Looking after home or family 1 1 2 2 6 Other 1 1 0 0 2 Total 19 21 26 11 77 Remark: This table includes those female family respondents, whose child 4 was born before 1988.

CH017_4: Child 4 education “Please look at card 2. What is the highest school leaving certificate or school degree child 4 has obtained?” Men 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 1 2 0 0 3 Education country specific cat2: Hauptschule 13 12 12 1 38 Education country specific cat3: Gymnasium (öffent.) mit Matura

6 2 1 0 9


1 1 0 0 2


0 2 1 0 3


1 1 4 0 6

No degree yet/still in school 0 0 1 0 1 None 0 0 0 1 1 Total 23 18 19 2 62 Remark: This table includes those male family respondents, whose child 4 was born before 1988.

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0 5 2 1 8


1 1 0 0 2


2 3 0 1 6


3 2 2 2 9

Total 19 21 26 11 77Remark: This table includes those female family respondents, whose child 4 was born before 1988. CH018d41: Child 4, further education C1 “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 330 245 151 51 778Selected 8 9 13 1 30Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 367 298 267 132 1,065Selected 11 8 14 4 37Total 378 306 281 136 1,102 CH018d42: Child 4, further education c2 “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 163 52 806Selected 1 0 1 0 2Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 277 134 1,094Selected 0 2 5 2 8Total 378 306 281 136 1,102 CH018d43: Child 4, further education c3 “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Fachakademie: Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …) Men 50-59 60-69 70-79 80+ TotalNot selected 335 251 162 52 800Selected 3 3 2 0 8Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 303 279 134 1,092Selected 2 3 2 2 10Total 378 306 281 136 1,102

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CH018d44: Child 4, further education c4 “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Fachhochschulabschluss) Men 50-59 60-69 70-79 80+ Total Not selected 336 252 163 52 804 Selected 1 2 1 0 4 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 304 281 136 1,100 Selected 0 2 0 0 2 Total 378 306 281 136 1,102 CH018d44: Child 4, further education c5 “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Universität) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 CH018d49: Child 4, still in further education27 “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Still in further education) Men 50-59 60-69 70-79 80+ Total Not selected 334 253 163 52 802 Selected 4 1 1 0 6 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 304 281 136 1,099 Selected 1 2 0 0 3 Total 378 306 281 136 1,102 CH018d4a: Child 4, no further education “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (No further education) Men 50-59 60-69 70-79 80+ Total Not selected 333 250 163 51 797 Selected 5 4 1 1 11 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 303 275 133 1,085 Selected 5 3 6 3 17 Total 378 306 281 136 1,102


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CH018d4b: Child 4, other further education “Please look at card 3. Which degrees of higher education or vocational training does child 4 have?” (Other further education) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 280 136 1,099Selected 0 2 1 0 3Total 378 306 281 136 1,102 CH019_4: Number of children of child 4 “How many children – if any – does child 4 have?” Men 50-59 60-69 70-79 80+ Total0 18 9 6 2 351 3 2 3 0 82 3 5 8 0 153 0 2 0 0 24 0 0 1 0 15 0 0 1 0 1Total 23 18 19 2 62Remark: This table includes those male family respondents, whose child 4 was born before 1988. Women 50-59 60-69 70-79 80+ Total0 12 9 5 3 281 4 5 11 2 222 3 6 7 4 213 0 1 1 1 35 0 0 2 0 2Total 19 21 26 11 77Remark: This table includes those female family respondents, whose child 4 was born before 1988. CH020_4: Year of birth of youngest child of child 4 “In wich year was the youngest child of child 4 born?” Men 50-59 60-69 70-79 80+ Total1970-1979 0 1 2 0 31980-1989 0 1 2 0 31990-1999 3 3 6 0 122000 and later 3 4 3 0 10Total 5 9 14 0 28Remark: The values range from 1974 to 2003. This table includes those male family respondents who report in ch019_4 that child 4 has at least on echild and who gave a valid answer. Women 50-59 60-69 70-79 80+ Total1960-1969 0 0 0 1 11970-1979 0 0 3 2 61980-1989 0 1 6 3 101990-1999 3 8 8 1 202000 and later 5 1 3 0 9Don't know 0 1 1 0 2Total 8 12 21 7 48Remark: The values range from 1968 to 2004. This table includes those female family respondents who report in ch019_4 that child 4 has at least on echild and who gave a valid answer.

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CH021: Number of grandchildren “How many grandchildren do you and your husband/wife/partner have altogether?” Men 50-59 60-69 70-79 80+ Total 0 141 61 17 3 223 1 47 35 17 2 102 2 38 44 33 7 121 3 25 27 19 9 79 4 12 21 17 4 55 5 10 17 15 4 46 6 4 6 11 1 22 7 0 3 5 3 12 8 3 3 4 1 11 9 0 2 3 2 8 10 0 0 1 0 1 11 0 1 0 0 1 12 0 0 1 0 1 13 0 2 0 0 2 14 1 0 0 0 1 15 0 1 0 0 1 20 0 0 1 0 1 Don't know 1 0 0 0 1 Total 282 224 144 38 688 Remark: This table includes those men, who report in ch001 to have at least one child. Women 50-59 60-69 70-79 80+ Total 0 132 50 26 13 222 1 50 46 34 15 146 2 52 49 46 15 162 3 30 38 34 17 120 4 22 26 25 19 92 5 18 21 24 7 70 6 3 11 18 4 37 7 2 5 14 2 24 8 5 4 7 2 18 9 0 7 2 0 9 10 0 1 2 3 6 11 0 1 0 1 2 12 0 1 1 0 2 13 1 2 1 0 4 14 1 0 1 0 2 15 0 1 0 0 1 16 0 0 3 0 3 17 0 0 0 1 1 20 1 0 0 1 2 Refusal 1 0 0 0 1 Total 321 261 240 102 924 Remark: This table includes those men, who report in ch001 to have at least one child.

CH022: Has great-grandchildren “Do you or your husband/wife/partner have any great-grandchildren?” Men 50-59 60-69 70-79 80+ Total Yes 0 2 25 7 34 No 107 131 85 19 341 Total 107 133 109 25 375 Remark: This table includes those men who report in ch0021 to have at least one great-grandchild and who are the family respondent. Women 50-59 60-69 70-79 80+ Total Yes 0 5 42 46 93 No 113 139 132 36 420 Don't know 0 0 0 1 1 Total 113 143 174 83 514 Remark: This table includes those women who report in ch0021 to have at least one great-grandchild and who are the family respondent.

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CH023: Who answered questions in section ch Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 257 198 124 35 613Respondent and proxy 5 7 12 4 29Proxy only 0 0 1 0 1Total 262 205 137 39 643Remark: This table includes those men who are the family respondent. Women 50-59 60-69 70-79 80+ TotalRespondent only 255 215 219 111 800Respondent and proxy 2 0 1 8 11Proxy only 1 0 2 9 12Total 258 215 223 127 823Remark: This table includes those women who are the family respondent. CHSELCH1: Child number 1st selected child28 Variable necessary to idenetify child 1 Men 50-59 60-69 70-79 80+ Total0 57 31 21 15 1231 275 219 139 38 6712 1 0 1 0 23 3 0 1 0 44 0 1 1 0 25 1 2 1 0 46 1 1 0 0 2Total 338 254 164 52 808Remark: This table includes those all men and not only the female family respondents. “Child number 0” means that no child was selected. Women 50-59 60-69 70-79 80+ Total0 58 45 41 35 1791 315 253 233 99 9012 0 2 1 0 33 1 2 0 1 54 5 1 3 1 105 0 0 2 0 27 0 2 0 0 2Total 378 306 281 136 1,102Remark: This table includes those all women and not only the female family respondents. “Child number 0” means that no child was selected. CHSELCH2: Child number 2nd selected child Variable necessary to idenetify child 2 Men 50-59 60-69 70-79 80+ Total0 118 81 64 27 2901 3 1 1 0 42 213 168 95 26 5023 3 3 1 0 74 0 1 1 0 25 1 1 1 0 36 0 0 1 0 1Total 338 254 164 52 808Remark: “Child number 0” means that no child was selected.

28 The variables chselch1 till chselch4 contain the number of the children who were selected by the program. The numbers refer to the order in which the respondent listed the children (see readme.txt at the SHARE homepage).

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Women 50-59 60-69 70-79 80+ Total 0 141 122 113 70 446 1 0 3 2 0 5 2 234 177 160 64 635 3 1 1 2 1 5 4 1 2 1 0 4 5 0 2 1 0 3 6 1 0 1 1 3 Total 378 306 281 136 1,102 Remark: “Child number 0” means that no child was selected. CHSELCH3: Child number 3rd selected child Variable necessary to idenetify child 3 Men 50-59 60-69 70-79 80+ Total 0 237 186 115 41 579 1 1 0 2 0 3 2 1 2 2 0 5 3 92 61 45 11 209 4 5 3 1 0 9 5 0 2 0 0 2 7 1 0 0 0 1 Total 338 254 164 52 808 Remark: “Child number 0” means that no child was selected.

Women 50-59 60-69 70-79 80+ Total 0 287 228 203 112 831 1 1 3 2 1 8 2 2 2 5 0 9 3 85 70 70 22 247 4 1 1 0 0 2 5 0 2 1 0 3 7 0 0 0 1 1 9 1 0 0 0 1 Total 378 306 281 136 1,102 Remark: “Child number 0” means that no child was selected.

CHSELCH4: Child number 4th selected child Variable necessary to idenetify child 4 Men 50-59 60-69 70-79 80+ Total 0 292 231 143 48 715 1 1 2 0 0 4 2 0 0 1 0 1 3 0 1 1 0 2 4 39 16 16 4 76 5 4 2 2 0 7 6 0 1 1 0 2 7 0 1 0 0 1 8 1 0 0 0 1 Total 338 254 164 52 808 Remark: “Child number 0” means that no child was selected.

Women 50-59 60-69 70-79 80+ Total 0 347 273 249 125 995 1 2 1 1 0 4 2 0 1 1 1 3 3 1 4 5 0 10 4 24 26 25 9 84 5 2 1 0 0 3 6 0 1 0 0 1 8 0 0 0 1 1 11 1 0 0 0 1 Total 378 306 281 136 1,102 Remark: “Child number 0” means that no child was selected.

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3.12 Social Support (SP) The questions in the social support module are asked to the family respondents.29 Questions sp008 to sp012 are asked to all eligible persons, questions sp014 to sp017 are asked to those who have grandchildren, finally questions sp018 to sp021 are asked to those who do not live in a single household. Table SP002: Received help from outside the household “Now please think of the last twelve months. Has any family member from outside the household, any friend or neighbour given you or your husband/wife/partner any kind of help listed on card 28?” Men 50-59 60-69 70-79 80+ TotalYes 75 41 31 12 159No 187 164 106 27 484Total 262 205 137 39 643 Women 50-59 60-69 70-79 80+ TotalYes 63 54 91 63 271No 195 161 132 64 552Total 258 215 223 127 823 Table SP003_1: Who gave help, person 1 from outside the household “Which (other) family member from outside the household, friend or neighbour has helped you or your husband/wife/partner in the last twelve months?” Men 50-59 60-69 70-79 80+ TotalSpouse/partner 4 3 2 0 9Mother 2 1 0 0 3Mother-in-law 2 0 0 0 2Stepmother 0 1 0 0 1Brother 4 1 0 0 4Sister 1 2 0 0 3Child1 18 9 8 7 41Child2 6 5 6 1 18Child3 5 2 2 0 9Child5 0 0 1 0 1Other child 1 1 0 0 2Son-in-law 1 1 0 0 2Daughter-in-law 0 2 1 1 4Nephew 0 1 0 0 1Other relative 3 1 3 0 7Friend 6 5 2 0 13(Ex-)colleague 4 0 1 0 5Neighbour 12 5 4 3 24Other acquaintance 4 2 0 0 5Don't know 0 0 1 0 1Total 73 40 30 12 155Remark: This table includes those men who report in question sp002 to have received help from outside the household.

29 These are those persons with dumfamr = 1.

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Women 50-59 60-69 70-79 80+ Total Spouse/partner 3 1 1 0 6 Mother 3 0 1 0 4 Mother-in-law 1 0 0 0 1 Brother 6 1 0 0 6 Sister 2 4 3 0 9 Child1 21 15 20 27 84 Child2 7 8 21 4 40 Child3 2 1 3 2 8 Child4 1 2 2 3 9 Child5 0 0 1 1 2 Child6 0 0 1 0 1 Son-in-law 1 2 6 1 10 Daughter-in-law 0 1 3 4 9 Grandchild 0 0 5 2 8 Uncle 0 1 0 0 1 Niece 0 0 1 3 4 Nephew 2 1 2 1 7 Other relative 1 2 3 0 7 Friend 7 4 2 1 14 (Ex-)colleague 3 0 0 0 3 Neighbour 0 6 7 7 20 Other acquaintance 0 3 4 3 11 Total 61 53 89 61 264 Remark: This table includes those women who report in question sp002 to have received help from outside the household. Table SP004d11: Help from person 1, personal care “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Personal care) Men 50-59 60-69 70-79 80+ Total Not selected 335 252 157 50 794 Selected 3 2 7 2 14 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 374 300 266 116 1,056 Selected 5 6 15 21 46 Total 378 306 281 136 1,102 Table SP004d12: Help from person 1, practical household help “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Practical household help) Men 50-59 60-69 70-79 80+ Total Not selected 273 218 140 42 673 Selected 65 36 24 10 135 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 319 259 204 81 862 Selected 60 47 78 56 240 Total 378 306 281 136 1,102 Table SP004d13: Help from person 1, help with paperwork “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Help with paperwork) Men 50-59 60-69 70-79 80+ Total Not selected 319 248 154 48 769 Selected 18 6 10 4 39 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 371 295 248 103 1,017Selected 7 11 33 34 85Total 378 306 281 136 1,102 Table SP005_1: How often received help from person 1 “In the last twelve months, how often altogether have you or your husband/wife/partner received such help from this person? Was it…?” Men 50-59 60-69 70-79 80+ TotalAlmost daily 6 5 6 2 19Almost every week 20 5 10 4 40Almost every month 17 8 5 2 32Less often 30 20 10 3 63Don't know 0 1 0 0 1Total 73 40 30 12 155Remark: This table includes those men who report in question sp002 to have received help from outside the household. Women 50-59 60-69 70-79 80+ TotalAlmost daily 12 2 19 18 51Almost every week 15 16 29 31 90Almost every month 14 12 22 7 55Less often 20 23 19 5 67Total 61 53 89 61 264Remark: This table includes those women who report in question sp002 to have received help from outside the household. Table SP006_1: Hours received help from person 1 “About how many hours did you or your husband/wife/partner receive such help altogether on a typical day/in a typical week/in a typical month/in the last twelve months from this person?” Men 50-59 60-69 70-79 80+ Total0-9 53 23 17 8 10010-19 9 7 9 3 2820-29 7 3 2 0 1230-39 0 2 0 1 340-49 2 0 0 0 2100-109 0 0 1 0 1Refusal 0 2 0 0 2Don't know 1 3 2 0 6Total 73 40 30 12 155Remark: This table includes those men who report in question sp002 to have received help from outside the household. The values range from 0 to 100. Women 50-59 60-69 70-79 80+ Total0-9 39 35 64 37 17510-19 12 8 14 16 5020-29 5 4 7 4 1940-49 1 1 0 1 350-59 0 1 0 1 2180-189 0 1 0 0 1Refusal 1 0 0 0 1Don't know 3 4 3 2 13Total 61 53 89 61 264Remark: This table includes those women who report in question sp002 to have received help from outside the household. The values range from 0 to 188.

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Table SP003_2: Who gave help, person 2 from outside the household “Which (other) family member from outside the household, friend or neighbour has helped you or your husband/wife/partner in the last twelve months?” Men 50-59 60-69 70-79 80+ Total Father-in-law 1 0 0 0 1 Brother 1 0 0 0 1 Child1 5 2 0 0 6 Child2 4 3 2 3 12 Child3 0 2 1 0 2 Child4 2 1 0 0 3 Son-in-law 0 1 0 0 1 Grandchild 0 0 0 1 1 Other relative 0 0 1 0 1 Friend 0 1 0 0 1 Neighbour 2 2 0 1 5 Other acquaintance 2 0 1 0 3 Total 18 10 5 5 38 Remark: This table includes those men who report in question sp002 to have received help from outside the household and who received help from at least 2 persons. Women 50-59 60-69 70-79 80+ Total Brother 2 0 0 0 2 Sister 1 1 0 0 2 Child1 6 1 8 1 15 Child2 4 4 9 4 21 Child3 0 0 0 1 1 Child4 0 1 0 0 1 Child5 0 0 1 0 1 Child6 0 0 0 1 1 Other child 0 0 0 1 1 Son-in-law 0 0 1 1 2 Daughter-in-law 2 1 1 0 4 Grandchild 0 0 0 2 2 Niece 0 0 0 1 1 Nephew 1 0 0 0 1 Other relative 0 1 1 1 4 Friend 0 1 1 0 2 Neighbour 6 2 5 3 16 Other acquaintance 0 1 2 0 4 Total 22 13 29 17 81 Remark: This table includes those women who report in question sp002 to have received help from outside the household and who received help from at least 2 persons. Table SP004d21: Help from person 2, personal care “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Personal care) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 163 52 806 Selected 1 0 1 0 2 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 306 273 131 1,087 Selected 1 0 8 5 15 Total 378 306 281 136 1,102

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Table SP004d22: Help from person 2, practical household help “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Practical household help) Men 50-59 60-69 70-79 80+ TotalNot selected 324 245 160 48 777Selected 13 9 4 4 31Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 356 293 256 121 1,025Selected 23 13 25 15 77Total 378 306 281 136 1,102 Table SP004d23: Help from person 2, help with paperwork “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Help with paperwork) Men 50-59 60-69 70-79 80+ TotalNot selected 333 252 162 51 798Selected 5 2 2 1 10Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 272 131 1,086Selected 1 0 9 5 16Total 378 306 281 136 1,102 Table SP005_2: How often received help from person 2 “In the last twelve months, how often altogether have you or your husband/wife/partner received such help from this person? Was it…?” Men 50-59 60-69 70-79 80+ TotalAlmost daily 1 0 0 0 1Almost every week 7 1 2 1 11Almost every month 3 8 1 2 14Less often 6 2 2 2 12Total 18 10 5 5 38Remark: This table includes those men who report in question sp002 to have received help from outside the household and who received help from at least 2 persons. Women 50-59 60-69 70-79 80+ TotalAlmost daily 2 0 2 2 6Almost every week 2 1 14 8 25Almost every month 8 7 8 4 27Less often 9 6 5 2 22Total 22 13 29 17 81Remark: This table includes those women who report in question sp002 to have received help from outside the household and who received help from at least 2 persons. Table SP006_2: Hours received help from person 2 “About how many hours did you or your husband/wife/partner receive such help altogether on a typical day/in a typical week/in a typical month/in the last twelve months from this person?” Men 50-59 60-69 70-79 80+ Total0-9 12 2 3 4 2110-19 4 2 1 1 820-29 0 2 1 0 230-39 0 2 0 0 240-49 1 0 0 0 1Don't know 1 2 0 0 4Total 18 10 5 5 38Remark: The values range from 0 to 48. This table includes those men who report in question sp002 to have received help from outside the household and who received help from at least 2 persons.

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Women 50-59 60-69 70-79 80+ Total 0-9 17 8 23 10 59 10-19 1 1 4 3 9 20-29 0 2 1 1 4 30-39 1 1 0 0 2 40-49 0 0 0 1 1 100-109 0 1 0 0 1 Don't know 2 1 1 1 5 Total 22 13 29 17 81 Remark: The values range from 0 to 108. This table includes those women who report in question sp002 to have received help from outside the household and who received help from at least 2 persons.

Table SP003_3: Who gave help, person 3 from outside the household “Which (other) family member from outside the household, friend or neighbour has helped you or your husband/wife/partner in the last twelve months?” Men 50-59 60-69 70-79 80+ Total Child1 1 0 0 0 1 Child3 0 0 0 1 1 Child5 0 1 0 0 1 Other relative 0 1 0 0 1 Friend 1 0 0 0 1 Neighbour 1 0 0 0 1 Other acquaintance 1 0 0 0 1 Total 5 1 0 1 7 Remark: This table includes those men who report in question sp002 to have received help from outside the household and who receided help from at least 3 persons.

Women 50-59 60-69 70-79 80+ Total Child1 1 0 0 0 1 Child2 0 0 1 1 2 Child3 2 0 0 0 2 Child4 0 1 0 0 1 Son-in-law 2 1 1 1 5 Grandchild 0 0 2 2 4 Friend 1 0 0 0 1 Neighbour 0 0 2 0 2 Other acquaintance 2 0 0 1 3 Total 8 1 6 5 21 Remark: This table includes those women who report in question sp002 to have received help from outside the household and who received help from at least 3 persons. Table SP004d31: Help from person 3, personal care “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Personal care) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 280 134 1,099 Selected 0 0 1 2 3 Total 378 306 281 136 1,102 Table SP004d32: Help from person 3, practical household help “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Practical household help) Men 50-59 60-69 70-79 80+ Total Not selected 334 252 164 51 802 Selected 4 2 0 1 6 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 370 304 275 132 1,081Selected 9 2 6 4 21Total 378 306 281 136 1,102 Table SP004d33: Help from person 3, help with paperwork “Please look at card 28. Which types of help has this person provided in the last twelve months?” (Help with paperwork) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 279 134 1,096Selected 1 0 2 2 6Total 378 306 281 136 1,102 Table SP005_3: How often received help from person 3 “In the last twelve months, how often altogether have you or your husband/wife/partner received such help from this person? Was it…?” Men 50-59 60-69 70-79 80+ TotalAlmost every week 1 1 0 1 3Almost every month 1 1 0 0 2Less often 2 0 0 0 2Total 5 1 0 1 7Remark: This table includes those men who report in question sp002 to have received help from outside the household and who received help from at least 3 persons. Women 50-59 60-69 70-79 80+ TotalAlmost daily 0 0 0 2 2Almost every week 4 1 3 1 9Almost every month 1 1 2 2 6Less often 3 0 1 0 4Total 8 1 6 5 21Remark: This table includes those women who report in question sp002 to have received help from outside the household and who received help from at least 3 persons. Table SP006_3: Hours received help from person 3 “About how many hours did you or your husband/wife/partner receive such help altogether on a typical day/in a typical week/in a typical month/in the last twelve months from this person?” Men 50-59 60-69 70-79 80+ Total0-9 3 0 0 1 410-19 1 0 0 0 120-29 0 1 0 0 1Don't know 0 1 0 0 1Total 5 1 0 1 7Remark: This table includes those men who report in question sp002 to have received help from outside the household and who received help from at least 3 persons. Women 50-59 60-69 70-79 80+ Total0-9 5 1 6 4 1720-29 1 0 0 1 2Don't know 2 0 0 0 2Total 8 1 6 5 21Remark: This table includes those women who report in question sp002 to have received help from outside the household and who received help from at least 3 persons.

276

Table SP008: Did you give help to others outside the household “In the last twelve months, have you personally given any kind of help listed on card 28 to a family member from outside the household, a friend or neighbour?” Men 50-59 60-69 70-79 80+ Total Yes 111 73 22 6 212 No 225 180 140 46 591 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 121 90 39 8 258 No 254 215 238 129 836 Total 376 305 277 136 1,094 Table SP009_1: Who did you give help, person 1 outside the household “Which (other) family member from outside the household, friend or neighbour have you helped most often in the last twelve months?” Men 50-59 60-69 70-79 80+ Total Spouse/partner 10 2 1 0 13 Mother 25 5 1 0 31 Father 5 1 0 0 6 Mother-in-law 6 4 0 0 10 Father-in-law 1 0 0 0 1 Brother 2 1 0 0 3 Sister 2 2 0 0 4 Child1 8 19 3 1 31 Child2 11 6 1 0 18 Child3 4 5 3 0 11 Child4 1 2 0 0 3 Other child 1 0 0 0 1 Son-in-law 0 1 0 0 1 Daughter-in-law 0 0 1 0 1 Grandchild 0 0 1 0 1 Aunt 0 2 0 1 3 Uncle 0 0 1 0 1 Niece 0 1 0 0 1 Nephew 0 1 0 0 1 Other relative 1 3 1 0 5 Friend 5 4 2 0 10 (Ex-)colleague 0 1 0 0 1 Neighbour 19 9 5 2 35 Ex-spouse/partner 0 2 0 0 2 Other acquaintance 10 5 2 1 17 Total 111 73 22 6 211 Remark: This table includes those men who report in question sp008 to have given help to others outside the household.

277

Women 50-59 60-69 70-79 80+ TotalSpouse/partner 4 5 2 0 11Mother 40 9 4 0 53Father 1 2 0 0 4Mother-in-law 5 1 0 0 6Father-in-law 1 2 0 0 3Brother 0 1 1 0 2Sister 0 1 5 1 7Child1 17 17 11 4 49Child2 11 11 5 0 26Child3 5 3 2 0 10Child4 1 2 0 0 4Son-in-law 0 1 0 0 1Daughter-in-law 1 1 2 0 4Grandchild 1 0 0 0 1Aunt 2 3 0 0 5Niece 0 0 1 0 1Other relative 1 2 1 0 5Friend 11 9 1 1 22(Ex-)colleague 2 0 0 0 2Neighbour 13 14 5 1 33Other acquaintance 8 7 0 0 16Total 124 92 40 8 263Remark: This table includes those women who report in question sp008 to have given help to others outside the household. Table SP010d11: Help given person 1 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Personal care) Men 50-59 60-69 70-79 80+ TotalNot selected 326 248 160 50 784Selected 11 6 4 2 24Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ TotalNot selected 345 287 274 134 1,041Selected 33 19 7 2 61Total 378 306 281 136 1,102 Table SP010d12: Help given person 1 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Practical household help) Men 50-59 60-69 70-79 80+ TotalNot selected 241 188 147 50 627Selected 96 66 17 2 181Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ TotalNot selected 283 231 250 131 894Selected 96 75 31 5 208Total 378 306 281 136 1,102 Table SP010d13: Help given person 1 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Help with paperwork) Men 50-59 60-69 70-79 80+ TotalNot selected 295 244 162 51 753Selected 42 10 2 1 55Total 338 254 164 52 808

278

Women 50-59 60-69 70-79 80+ Total Not selected 347 288 270 135 1,041 Selected 31 18 11 1 61 Total 378 306 281 136 1,102 Table SP011_1: How often given help to person 1 “In the last twelve months, how often altogether have you given such help to this person? Was it…?” Men 50-59 60-69 70-79 80+ Total Almost daily 12 8 6 1 27 Almost every week 28 20 7 1 56 Almost every month 45 23 5 1 74 Less often 26 22 4 2 54 Total 111 73 22 6 211 Remark: This table includes those men who report in question sp008 to have given help to others outside the household. Women 50-59 60-69 70-79 80+ Total Almost daily 32 21 14 0 67 Almost every week 43 33 7 2 85 Almost every month 29 23 8 2 61 Less often 20 16 11 3 50 Total 124 92 40 8 263 Remark: This table includes those women who report in question sp008 to have given help to others outside the household. Table SP012_1: Hours given help to person 1 “About how many hours altogether did you give such help on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-9 68 36 15 4 123 10-19 15 11 4 1 30 20-29 14 12 1 0 27 30-39 2 4 0 0 7 40-49 0 0 1 0 1 50-99 4 3 0 0 7 100-199 5 1 0 0 6 500-999 0 1 0 0 1 Don't know 4 5 1 0 9 Total 111 73 22 6 211 Remark: The values range from 0 to 500. This table includes those men who report in question sp008 to have given help to others outside the household. Women 50-59 60-69 70-79 80+ Total 0-9 84 67 27 1 179 10-19 22 11 4 0 37 20-29 4 7 4 2 16 30-39 2 0 0 1 3 40-49 1 0 2 2 6 50-99 1 2 1 0 5 100-199 0 0 0 1 1 200-299 0 1 0 0 1 300-399 1 0 0 0 1 Don't know 8 4 2 0 15 Total 124 92 40 8 263 Remark: The values range from 0 to 300. This table includes those men who report in question sp008 to have given help to others outside the household.

279

Table SP009_2: Who did you give help, person 2 outside the household “Which (other) family member from outside the household, friend or neighbour have you helped in the last twelve months?” Men 50-59 60-69 70-79 80+ TotalMother 1 1 0 0 2Father 3 0 0 0 3Mother-in-law 3 0 0 0 3Father-in-law 1 1 0 0 2Stepmother 1 0 0 0 1Brother 0 1 0 0 1Sister 0 0 1 0 1Child1 3 2 0 0 4Child2 4 6 0 0 10Child3 1 1 0 0 2Child4 3 0 0 0 3Son-in-law 0 1 0 0 1Aunt 1 1 0 0 2Nephew 0 1 0 0 1Other relative 1 1 1 0 3Friend 0 2 0 0 2(Ex-)colleague 1 0 0 0 1Neighbour 4 2 0 0 6Ex-spouse/partner 0 2 0 0 2Other acquaintance 0 2 1 0 3Total 26 23 3 0 52Remark: This table includes those men who report in question sp008 to have given help to others outside the household and who gave help to at least 2 persons outside the household. Women 50-59 60-69 70-79 80+ TotalMother 4 2 0 0 5Father 1 0 0 0 1Mother-in-law 1 0 0 0 1Father-in-law 1 0 0 0 1Brother 0 0 1 0 1Sister 0 1 0 0 1Child1 14 3 0 0 17Child2 7 6 0 0 13Grandchild 1 1 0 0 2Aunt 1 0 0 0 1Uncle 1 0 0 0 1Other relative 0 1 0 0 1Friend 2 1 1 0 4Neighbour 1 2 0 0 3Other acquaintance 0 2 0 0 2Total 35 18 2 0 55Remark: This table includes those women who report in question sp008 to have given help to others outside the household and who gave help to at least 2 persons outside the household. Table SP010d21: Help given person 2 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Personal care) Men 50-59 60-69 70-79 80+ TotalNot selected 338 252 164 52 806Selected 0 2 0 0 2Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 304 280 136 1,094Selected 5 2 1 0 8Total 378 306 281 136 1,102

280

Table SP010d22: Help given person 2 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Practical household help) Men 50-59 60-69 70-79 80+ Total Not selected 317 234 161 52 764 Selected 21 20 3 0 44 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 349 291 280 136 1,057 Selected 29 14 1 0 45 Total 378 306 281 136 1,102 Table SP010d23: Help given person 2 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Help with paperwork) Men 50-59 60-69 70-79 80+ Total Not selected 330 252 164 52 799 Selected 8 2 0 0 9 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 370 301 281 136 1,089 Selected 8 5 0 0 13 Total 378 306 281 136 1,102 Table SP011_2: How often given help to person 2 “In the last twelve months, how often altogether have you given such help to this person? Was it…?” Men 50-59 60-69 70-79 80+ Total Almost daily 1 2 0 0 3 Almost every week 10 6 0 0 16 Almost every month 8 3 2 0 14 Less often 6 12 1 0 19 Total 26 23 3 0 52 Remark: This table includes those men who report in question sp008 to have given help to others outside the household and who gave help to at least 2 persons outside the household. Women 50-59 60-69 70-79 80+ Total Almost daily 4 2 0 0 6 Almost every week 13 7 2 0 22 Almost every month 14 4 0 0 18 Less often 5 5 0 0 9 Total 35 18 2 0 55 Remark: This table includes those women who report in question sp008 to have given help to others outside the household and who gave help to at least 2 persons outside the household. Table SP012_2: Hours given help to person 2 “About how many hours altogether did you give such help on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-9 21 13 2 0 36 10-19 0 4 0 0 4 20-29 0 3 0 0 3 30-39 0 1 0 0 1 40-49 0 1 0 0 1 50-99 3 0 0 0 3 100-199 1 0 0 0 1 Don't know 1 1 1 0 3 Total 26 23 3 0 52 Remark: The values range from 1 to 100. This table includes those men who report in question sp008 to have given help to others outside the household and who gave help to at least 2 persons outside the household.

281

Women 50-59 60-69 70-79 80+ Total0-9 21 13 1 0 3510-19 8 3 1 0 1220-29 1 0 0 0 130-39 0 1 0 0 1Don't know 5 1 0 0 5Total 35 18 2 0 55Remark: The values range from 0 to 30. This table includes those women who report in question sp008 to have given help to others outside the household and who gave help to at least 2 persons outside the household. Table SP009_3: Who did you give help, person 3 outside the household “Which (other) family member from outside the household, friend or neighbour have you helped in the last twelve months?” Men 50-59 60-69 70-79 80+ TotalMother-in-law 0 1 0 0 1Father-in-law 1 0 0 0 1Brother 1 1 0 0 2Child1 0 1 1 0 2Child2 1 1 0 0 2Child4 1 0 0 0 1Friend 1 0 0 0 1Neighbour 1 1 0 0 2Total 7 4 1 0 12Remark: This table includes those men who report in question sp008 to have given help to others outside the household and who gave help to at least 3 persons outside the household. Women 50-59 60-69 70-79 80+ TotalMother 2 0 0 0 2Father 1 0 0 0 1Child2 2 0 0 0 2Child4 0 1 0 0 1Child5 0 1 0 0 1Niece 0 1 0 0 1Friend 0 1 0 0 1Neighbour 1 0 0 0 1Total 7 3 0 0 10Remark: This table includes those women who report in question sp008 to have given help to others outside the household and who gave help to at least 3 persons outside the household.

Table SP010d31: Help given person 3 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Personal care) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 306 281 136 1,100Selected 2 0 0 0 2Total 378 306 281 136 1,102 Table SP010d32: Help given person 3 “Please look at card 28. Which types of help have you given to this person in the last twelve months?”(Practical household help) Men 50-59 60-69 70-79 80+ TotalNot selected 333 250 163 52 798Selected 5 4 1 0 10Total 338 254 164 52 808

282

Women 50-59 60-69 70-79 80+ Total Not selected 373 303 281 136 1,093 Selected 6 3 0 0 9 Total 378 306 281 136 1,102 Table SP010d33: Help given person 3 “Please look at card 28. Which types of help have you given to this person in the last twelve months?” (Help with paperwork) Men 50-59 60-69 70-79 80+ Total Not selected 335 254 164 52 805 Selected 3 0 0 0 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 306 281 136 1,099 Selected 3 0 0 0 3 Total 378 306 281 136 1,102 Table SP011_3: How often given help to person 3 “In the last twelve months, how often altogether have you given such help to this person? Was it…?” Men 50-59 60-69 70-79 80+ Total Almost every month 4 3 0 0 8 Less often 2 1 1 0 4 Total 7 4 1 0 12 Remark: This table includes those men who report in question sp008 to have given help to others outside the household and who gave help to at least 3 persons outside the household. Women 50-59 60-69 70-79 80+ Total Almost daily 1 0 0 0 1 Almost every week 2 2 0 0 5 Almost every month 1 1 0 0 2 Less often 2 0 0 0 2 Total 7 3 0 0 10 Remark: This table includes those women who report in question sp008 to have given help to others outside the household and who gave help to at least 3 persons outside the household. Table SP012_3: Hours given help to person 3 “About how many hours altogether did you give such help on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-9 6 3 0 0 9 100-199 0 0 1 0 1 Don't know 1 1 0 0 2 Total 7 4 1 0 12 Remark: The values range from 1 to 100. This table includes those men who report in question sp008 to have given help to others outside the household and who gave help to at least 3 persons outside the household. Women 50-59 60-69 70-79 80+ Total 0-9 5 3 0 0 8 20-29 1 0 0 0 1 30-39 1 0 0 0 1 Total 7 3 0 0 10 Remark: The values range from 2 to 30. This table includes those women who report in question sp008 to have given help to others outside the household and who gave help to at least 3 persons outside the household.

283

Table SP014: Look after grandchildren “During the last twelve months, have you regularly or occasionally looked after your grandchild(ren) without the presence of the parents?“ Men 50-59 60-69 70-79 80+ TotalYes 75 80 35 8 198No 68 87 95 27 278Total 144 166 130 36 476Remark: This table includes those men who report in ch021 to have at least one grandchild. Women 50-59 60-69 70-79 80+ TotalYes 119 108 52 7 286No 71 104 164 83 421Total 189 212 216 89 707Remark: This table includes those women who report in ch021 to have at least one grandchild. Table SP015d01: Looked after child(ren) of child 1 “From which of your children is/are the grandchild(ren) you have looked after?” (Child 1) Men 50-59 60-69 70-79 80+ TotalNot selected 293 204 146 47 690Selected 45 50 18 6 118Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 295 240 249 133 918Selected 83 66 32 3 184Total 378 306 281 136 1,102 Table SP015d02: Looked after child(ren) of child 2 “From which of your children is/are the grandchild(ren) you have looked after?” (Child 2) Men 50-59 60-69 70-79 80+ TotalNot selected 313 221 150 50 734Selected 25 33 14 2 74Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 332 256 262 132 981Selected 47 50 19 4 121Total 378 306 281 136 1,102 Table SP015d03: Looked after child(ren) of child 3 “From which of your children is/are the grandchild(ren) you have looked after?” (Child 3) Men 50-59 60-69 70-79 80+ TotalNot selected 334 242 159 51 786Selected 4 12 5 1 22Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 368 291 271 136 1,067Selected 10 14 10 0 35Total 378 306 281 136 1,102 Table SP015d04: Looked after child(ren) of child 4 “From which of your children is/are the grandchild(ren) you have looked after?” (Child 4) Men 50-59 60-69 70-79 80+ TotalNot selected 334 250 162 52 798Selected 4 4 2 0 10Total 338 254 164 52 808

284

Women 50-59 60-69 70-79 80+ Total Not selected 375 298 277 136 1,086 Selected 3 8 5 0 16 Total 378 306 281 136 1,102 Table SP015d05: Looked after child(ren) of child 5 “From which of your children is/are the grandchild(ren) you have looked after?” (Child 5) Men 50-59 60-69 70-79 80+ Total Not selected 336 252 163 52 803 Selected 1 2 1 0 5 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 303 280 136 1,095 Selected 2 3 1 0 7 Total 378 306 281 136 1,102 Table SP015d06: Looked after child(ren) of child 630 “From which of your children is/are the grandchild(ren) you have looked after?” (Child 6) Men 50-59 60-69 70-79 80+ Total Not selected 336 254 164 52 807 Selected 1 0 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 306 281 136 1,101 Selected 1 0 0 0 1 Total 378 306 281 136 1,102 Table SP016_1: How often looked after child(ren) of child 1 “On average, how often did you look after the child(ren) of child 1 in the last twelve months? Was it…?” Men 50-59 60-69 70-79 80+ Total Almost daily 9 7 2 0 18 Almost every week 13 20 5 0 38 Almost every month 10 16 6 2 34 Less often 14 10 5 3 33 Total 46 51 19 6 122 Remark: This table includes those men who report in sp015d01 to have looked after child(ren) of child 1 Women 50-59 60-69 70-79 80+ Total Almost daily 21 9 4 0 33 Almost every week 22 31 13 0 66 Almost every month 25 13 9 0 47 Less often 18 16 7 3 44 Total 86 68 33 3 190 Remark: This table includes those women who report in sp015d01 to have looked after child(ren) of child 1.

30 In the Austrian dataset variables sp015d07 to sp015d21 all have value „Not Selected“. There is one exception with variable sp015d13 where one male respondent reports that he looked after child(ren) of child 13.

285

Table SP017_1: Hours looked after child(ren) of child 1 “About how many hours did you look after the child(ren) of child 1 on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-9 23 22 11 2 5910-19 5 11 2 2 2120-29 6 7 2 1 1730-39 0 3 0 0 340-49 4 1 1 0 650-99 0 0 2 0 2100-199 3 2 0 0 4200-299 0 1 0 0 1700-799 0 2 0 0 2900-999 0 1 0 0 1Other 1 0 0 0 1Refusal 1 0 0 0 1Don't know 3 2 0 0 4Total 46 51 19 6 122Remark: The values range from 0 to 900. This table includes those men who report in sp015d01 to have looked after child(ren) of child 1. Women 50-59 60-69 70-79 80+ Total0-9 38 31 11 2 8110-19 14 10 5 1 3020-29 13 7 7 0 2730-39 5 2 5 0 1240-49 2 6 0 0 950-99 2 4 1 0 7100-199 4 1 0 0 4200-299 0 1 0 0 1400-499 0 1 0 0 1800-899 1 0 0 0 12,000-2,999 0 1 0 0 1Refusal 1 0 0 0 1Don't know 5 5 5 0 14Total 86 68 33 3 190Remark: The values range from 0 to 2,000. This table includes those women who report in sp015d01 to have looked after child(ren) of child . Table SP016_2: How often looked after child(ren) of child 2 “On average, how often did you look after the child(ren) of child 2 in the last twelve months? Was it…?” Men 50-59 60-69 70-79 80+ TotalAlmost daily 4 3 1 0 8Almost every week 12 15 6 1 34Almost every month 5 7 2 0 14Less often 5 10 5 1 22Total 26 35 15 2 78Remark: This table includes those men who report in sp015d02 to have looked after child(ren) of child 2. Women 50-59 60-69 70-79 80+ TotalAlmost daily 5 7 2 0 14Almost every week 26 22 10 1 58Almost every month 8 15 0 0 23Less often 11 8 7 3 30Don't know 0 1 1 0 2Total 50 53 21 5 128Remark: This table includes those women who report in sp015d02 to have looked after child(ren) of child 2.

286

Table SP017_2: Hours looked after child(ren) of child 2 “About how many hours did you look after the child(ren) of child 2 on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-9 10 13 5 1 30 10-19 5 8 1 1 16 20-29 3 4 2 0 9 30-39 1 4 2 0 8 40-49 4 1 0 0 5 50-99 3 1 3 0 7 100-199 0 1 0 0 1 400-499 0 1 0 0 1 1,000-1,999 0 0 1 0 1 Don't know 0 2 0 0 2 Total 26 35 15 2 78 Remark: The values range from 0 to 1,440. This table includes those men who report in sp015d02 to have looked after child(ren) of child 2. Women 50-59 60-69 70-79 80+ Total 0-9 17 26 10 2 55 10-19 14 11 1 2 28 20-29 5 8 2 0 15 30-39 4 2 2 0 9 40-49 2 0 2 0 5 50-99 1 1 1 0 3 100-199 2 2 0 0 4 600-699 0 1 0 0 1 Refusal 1 0 0 0 1 Don't know 4 2 1 0 7 Total 50 53 21 5 128 Remark: The values range from 0 to 600. This table includes those women who report in sp015d01 to have looked after child(ren) of child 2. Table SP016_3: How often looked after child(ren) of child 3 “On average, how often did you look after the child(ren) of child 3 in the last twelve months? Was it…?” Men 50-59 60-69 70-79 80+ Total Almost daily 1 2 1 1 5 Almost every week 1 3 0 0 5 Almost every month 0 4 3 0 7 Less often 1 4 1 0 7 Total 4 13 5 1 24 Remark: This table includes those men who report in sp015d03 to have looked after child(ren) of child 3. Women 50-59 60-69 70-79 80+ Total Almost daily 1 2 4 0 6 Almost every week 6 6 2 0 14 Almost every month 2 6 4 0 12 Less often 1 2 1 0 5 Total 11 15 11 0 37 Remark: This table includes those women who report in sp015d03 to have looked after child(ren) of child 3. Table SP017_3: Hours looked after child(ren) of child 3 “About how many hours did you look after the child(ren) of child 3 on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-9 1 6 3 1 12 10-19 1 2 0 0 3 20-29 0 5 1 0 6 50-99 0 0 1 0 1 200-299 1 0 0 0 1 Total 4 13 5 1 24 Remark: The values range from 2 to 240.This table includes those men who report in sp015d03 to have looked after child(ren) of child 3.

287

Women 50-59 60-69 70-79 80+ Total0-9 5 8 7 0 2010-19 4 2 0 0 620-29 1 3 0 0 430-39 0 0 1 0 150-99 0 1 0 0 1100-199 0 0 1 0 1Don't know 1 1 1 0 3Total 11 15 11 0 37Remark: The values range from 0 to 100. This table includes those women who report in sp015d03 to have looked after child(ren) of child 3. Table SP016_4: How often looked after child(ren) of child 4 “On average, how often did you look after the child(ren) of child 4 in the last twelve months? Was it…?” Men 50-59 60-69 70-79 80+ TotalAlmost daily 1 2 0 0 3Almost every week 3 0 0 0 3Almost every month 0 2 0 0 2Less often 0 1 2 0 3Total 4 4 2 0 10Remark: This table includes those men who report in sp015d04 to have looked after child(ren) of child 4. Women 50-59 60-69 70-79 80+ TotalAlmost daily 0 2 0 0 2Almost every week 3 2 1 0 6Almost every month 1 3 0 0 5Less often 0 1 4 0 5Total 4 9 5 0 18Remark: This table includes those women who report in sp015d04 to have looked after child(ren) of child 4. Table SP017_4: Hours looked after child(ren) of child 4 “About how many hours did you look after the child(ren) of child 4 on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-9 1 2 1 0 410-19 1 0 1 0 230-39 0 2 0 0 240-49 1 0 0 0 150-99 0 1 0 0 1Total 4 4 2 0 10Remark: The values range from 2 to 60. This table includes those men who report in sp015d04 to have looked after child(ren) of child 4. Women 50-59 60-69 70-79 80+ Total0-9 1 7 3 0 1110-19 3 0 0 0 320-29 0 1 1 0 230-39 0 1 0 0 150-99 0 0 1 0 1Total 4 9 5 0 18Remark: The values range from 0 to 50. This table includes those women who report in sp015d04 to have looked after child(ren) of child 4. Table SP016_5: How often looked after child(ren) of child 5 “On average, how often did you look after the child(ren) of child 5 in the last twelve months? Was it…?” Men 50-59 60-69 70-79 80+ TotalAlmost every week 0 3 0 0 3Almost every month 0 0 1 0 1Less often 1 0 0 0 1Total 1 3 1 0 5Remark: This table includes those men who report in sp015d05 to have looked after child(ren) of child 5.

288 Women 50-59 60-69 70-79 80+ Total Almost every week 0 2 1 0 4 Less often 3 1 0 0 3 Total 3 3 1 0 7 Remark: This table includes those women who report in sp015d05 to have looked after child(ren) of child 5. Table SP017_5: Hours looked after child(ren) of child 5 “About how many hours did you look after the child(ren) of child 5 on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-9 1 0 0 0 1 10-19 0 1 0 0 1 20-29 0 1 0 0 1 40-49 0 0 1 0 1 Don't know 0 1 0 0 1 Total 1 3 1 0 5 Remark: The values range from 3 to 40. This table includes those men who report in sp015d05 to have looked after child(ren) of child 5. Women 50-59 60-69 70-79 80+ Total 0-9 3 2 0 0 4 40-49 0 1 1 0 2 50-99 0 1 0 0 1 Total 3 3 1 0 7 Remark: The values range from 3 to 70. This table includes those women who report in sp015d05 to have looked after child(ren) of child 5. Table SP016_6: How often looked after child(ren) of child 6 “On average, how often did you look after the child(ren) of child 6 in the last twelve months? Was it…?” Men 50-59 60-69 70-79 80+ Total Less often 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this man who reports in sp015d06 that he looked after child(ren) of child 6. Women 50-59 60-69 70-79 80+ Total Less often 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in sp015d06 that she looked after child(ren) of child 6. Table SP017_6: Hours looked after child(ren) of child 631 “About how many hours did you look after the child(ren) of child 6 on a typical day/in a typical week/in a typical month/in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 20-29 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this man who reports in sp015d06 that he looked after child(ren) of child 6. Women 50-59 60-69 70-79 80+ Total 100-199 1 0 0 0 1 Total 1 0 0 0 1 Remark: This table includes this woman who reports in sp015d06 that she looked after child(ren) of child 6.

31 In the Austrian dataset variables sp016_7 to sp016_17 and sp017_7 to sp017_17 all have value „Not Selected“. There is one exception with variables sp016_13 and sp017_13 for the one male respondent who reported that he looked after child(ren) of child 13.

289

Table SP018: Given help to someone in the household “Is there someone living in this household whom you have helped regularly during the last twelve months with personal care, such as washing, getting out of bed, or dressing?” Men 50-59 60-69 70-79 80+ TotalYes 11 10 11 6 38No 273 207 115 22 617Total 284 217 126 28 655Remark: Tis table includes those men who report in hhsisze (Demographics Module) to have are not living in a single household. Women 50-59 60-69 70-79 80+ TotalYes 19 20 16 5 61No 271 170 105 27 573Total 290 190 121 33 634Remark: Tis table includes those women who report in hhsisze (Demographics Module) to have are not living in a single household. Table SP019d01: Respondent provided help to person 1 in household “Who is that?” (Spouse/partner) Men 50-59 60-69 70-79 80+ TotalNot selected 333 251 154 47 784Selected 5 3 10 6 24Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 369 296 272 135 1,072Selected 9 10 9 1 30Total 378 306 281 136 1,102 Table SP019d02: Respondent provided help to person 2 in household “Who is that?” (Mother) Men 50-59 60-69 70-79 80+ TotalNot selected 334 253 164 52 803Selected 4 1 0 0 5Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 303 281 136 1,094Selected 5 3 0 0 8Total 378 306 281 136 1,102 Table SP019d03: Respondent provided help to person 3 in household “Who is that?” (Father) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table SP019d04: Respondent provided help to person 4 in household32 “Who is that?” (Mother-in-law) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808

32 In the Austrian dataset variables sp019d05 to sp019d08 all have value “Not Selected”.

290

Women 50-59 60-69 70-79 80+ Total Not selected 376 305 281 136 1,099 Selected 2 1 0 0 3 Total 378 306 281 136 1,102 Table SP019d09: Respondent provided help to person 9 in household “Who is that?” (Sister) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ Total Not selected 378 304 281 136 1,100 Selected 0 2 0 0 2 Total 378 306 281 136 1,102 Table SP019d10: Respondent provided help to person 10 in household “Who is that?” (Child 1) Men 50-59 60-69 70-79 80+ Total Not selected 338 252 164 52 806 Selected 0 2 0 0 2 Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ Total Not selected 376 304 281 135 1,097 Selected 2 2 0 1 5 Total 378 306 281 136 1,102 Table SP019d11: Respondent provided help to person 11 in household “Who is that?” (Child 2) Men 50-59 60-69 70-79 80+ Total Not selected 338 251 164 52 805 Selected 0 3 0 0 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 305 279 134 1,097 Selected 0 1 2 2 5 Total 378 306 281 136 1,102 Table SP019d12: Respondent provided help to person 12 in household “Who is that?” (Child 3) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table SP019d13: Respondent provided help to person 13 in household “Who is that?” (Child 4) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ Total Not selected 378 305 281 136 1,101 Selected 0 1 0 0 1 Total 378 306 281 136 1,102

291

Table SP019d14: Respondent provided help to person 14 in household “Who is that?” (Child 5) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table SP019d15: Respondent provided help to person 15 in household33 “Who is that?” (Child 6) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102

Table SP019d19: Respondent provided help to person 19 in household “Who is that?” (Other child) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 305 281 136 1,101Selected 0 1 0 0 1Total 378 306 281 136 1,102

Table SP019d20: Respondent provided help to person 20 in household “Who is that?” (Son-in-law) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table SP019d21: Respondent provided help to person 21 in household34 “Who is that?” (Daughter-in-law) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 280 135 1,098Selected 0 2 1 1 4Total 378 306 281 136 1,102 Table SP019d24: Respondent provided help to person 24 in household35 “Who is that?” (Aunt) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808

33 In the Austrian dataset variables sp019d16 to sp019d18 all have value “Not Selected”. 34 In the Austrian dataset variables sp019d22 to sp019d23 all have value “Not Selected”. 35 In the Austrian dataset variables sp019d25 to sp019d28 all have value “Not Selected”.

292 Women 50-59 60-69 70-79 80+ Total Not selected 378 305 280 136 1,100 Selected 0 1 1 0 2 Total 378 306 281 136 1,102 Table SP019d29: Respondent provided help to person 29 in household “Who is that?” (Friend) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 163 52 807 Selected 0 0 1 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table SP019d30: Respondent provided help to person 30 in household “Who is that?” ((Ex-)Colleague) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table SP019d31: Respondent provided help to person 31 in household “Who is that?” (Neighbour) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 280 136 1,101 Selected 0 0 1 0 1 Total 378 306 281 136 1,102 Table SP019d32: Respondent provided help to person 32 in household “Who is that?” (Ex-spouse/partner) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table SP019d33: Respondent provided help to person 33 in household “Who is that?” (Other acquaintance) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 280 136 1,101 Selected 0 0 1 0 1 Total 378 306 281 136 1,102

293

Table SP020: Someone in this household helped you regularly with personal care “And is there someone living in this household who has helped you regularly during the last twelve months with personal care, such as washing, getting out of bed, or dressing?” Men 50-59 60-69 70-79 80+ TotalYes 4 10 15 4 34No 109 79 61 10 259Total 113 89 76 15 293Remark: This table includes those men who report in hhsize (demographics module) to have are not living in a single household, furthermore they report in ph048_1 to ph048_10 (physical health module) to have had difficulties with at least one of the corresponding activities. Women 50-59 60-69 70-79 80+ TotalYes 10 7 21 14 52No 116 111 62 14 304Total 126 118 83 29 356Remark: This table includes those women who report in hhsize (demographics module) to have are not living in a single household, furthermore they report in ph048_1 to ph048_10 (physical health module) to have had difficulties with at least one of the corresponding activities. Table SP021d01: Person 1 in household helped respondent with personal care “Who helped you with personal care in the household?” (Spouse/partner) Men 50-59 60-69 70-79 80+ TotalNot selected 334 245 152 50 781Selected 4 9 12 2 27Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 370 304 272 133 1,079Selected 8 2 9 3 23Total 378 306 281 136 1,102 Table SP021d02: Person 2 in household helped respondent with personal care36 “Who helped you with personal care in the household?” (Mother) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 281 136 1,101Selected 1 0 0 0 1Total 378 306 281 136 1,102 Table SP022: Who answered the questions in sp Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 331 239 149 46 765Respondent and proxy 5 11 12 4 32Proxy only 0 3 1 1 5Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalRespondent only 367 305 267 120 1,058Respondent and proxy 5 1 7 9 21Proxy only 3 0 3 8 15Total 376 305 277 136 1,094

36 In the Austrian dataset variables sp021d03 to sp021d33 all have value “Not Selected”.

294

3.13 Financial Transfers (FT) The questions in the financial transfers module are asked to all eligibles persons who are the financial respondent or who answer that the finances are totally separate.37 Table FT002: Given financial or material gift 250 euro or more “Now please think of the last twelve months. Not counting any shared housing or shared food, have you or your husband/wife/partner given any financial or material gift or support to any person inside or outside this household amounting to 250 euro or more?” Men 50-59 60-69 70-79 80+ Total Yes 100 70 33 9 212 No 173 142 106 30 451 Refusal 0 2 0 0 2 Total 273 214 139 39 665 Women 50-59 60-69 70-79 80+ Total Yes 85 59 50 21 214 No 211 184 188 109 692 Total 295 243 238 129 906 Table FT003_1: To whom was given gift, person 1 “To whom did you or your husband/wife/partner provide such financial assistance or gift in the last twelve months?” Men 50-59 60-69 70-79 80+ Total Spouse/partner 5 3 1 0 9 Mother 1 1 0 0 2 Sister 1 0 0 0 1 Child1 59 33 13 2 107 Child2 19 13 3 1 36 Child3 4 3 3 1 11 Child4 2 3 1 0 7 Child5 0 1 0 0 1 Other child 0 2 0 0 2 Grandchild 4 5 10 4 23 Niece 4 1 0 0 5 Nephew 0 2 0 0 2 Other relative 0 1 0 0 1 Friend 0 2 1 0 3 Other acquaintance 0 1 1 0 2 Total 99 69 33 9 210 Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more.

37 These are those persons with dumfinr=1 or with finsep=1.

295

Women 50-59 60-69 70-79 80+ TotalSpouse/partner 3 1 1 0 5Mother 3 0 1 0 5Sister 1 0 0 0 1Child1 45 28 18 5 96Child2 9 11 6 2 28Child3 5 2 0 1 7Child4 1 2 1 0 4Child5 1 0 0 0 1Child6 0 0 1 0 1Other child 0 2 0 0 2Grandchild 4 8 18 8 38Niece 0 2 1 2 6Nephew 6 2 0 1 8Other relative 1 2 1 1 5Friend 2 1 1 0 4Other acquaintance 2 0 0 0 2Total 85 59 50 21 214Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more. Table FT004e1: Amount given to person 1 “About how much did you or your husband/wife/partner give to this person altogether in the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-999 46 35 13 5 991,000-9,999 32 25 18 3 7910,000-99,999 6 3 0 0 9Refusal 4 2 1 0 7Don't know 11 4 1 0 16Total 99 69 33 9 210Remark: The values range from 0 to 35,000. This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more. Women 50-59 60-69 70-79 80+ Total0-999 34 28 22 7 891,000-9,999 36 26 24 9 9410,000-99,999 2 2 1 1 7Refusal 5 0 2 1 8Don't know 8 3 1 3 16Total 85 59 50 21 214Remark: The values range from 2 to 20,000. This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more. Table FT006_1: Reason given to person 1 “Please look at card 29. What was the main reason for this assistance or gift?” Men 50-59 60-69 70-79 80+ TotalTo meet basic needs 15 12 3 0 30To buy or furnish a house or apartment 17 12 3 0 32To help with a large item of expenditure (other than buying a house)

15 5 6 2 28

For a major family event (birth, marriage, other celebration)

23 14 6 3 46

To help following a bereavement or illness 1 0 0 0 1To help with unemployment 2 0 0 0 2For further education 9 4 2 0 15To meet a legal obligation (e.g. alimony or compulsory payments for parents’ care)

0 2 1 0 3

No specific reason 9 15 6 1 30Other reason 7 7 6 2 23Total 99 69 33 9 210Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more.

296 Women 50-59 60-69 70-79 80+ Total To meet basic needs 9 6 9 4 29 To buy or furnish a house or apartment 5 6 1 2 15 To buy or furnish a house or apartment 9 10 5 2 26 To help with a large item of expenditure (other than buying a house)

21 14 14 4 52


0 1 0 0 1

To help following a bereavement or illness 1 1 0 1 3 To help with unemployment 1 2 1 0 4 For further education 12 5 5 0 22 To meet a legal obligation (e.g. alimony or compulsory payments for parents’ care)

0 1 0 0 1

No specific reason 17 12 11 5 46 Other reason 8 2 5 1 16 Total 85 59 50 21 214 Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more. Table FT003_2: To whom was given gift, person 2 “To whom did you or your husband/wife/partner provide such financial assistance or gift in the last twelve months?” Men 50-59 60-69 70-79 80+ Total Spouse/partner 0 2 0 0 2 Mother 1 0 0 0 1 Mother-in-law 0 1 0 0 1 Brother 0 1 0 0 1 Child1 15 2 1 1 19 Child2 31 19 3 0 53 Child3 0 2 1 0 3 Child5 0 2 0 0 2 Daughter-in-law 0 0 0 1 1 Grandchild 0 2 1 0 3 Nephew 1 2 0 0 3 Friend 1 1 0 0 2 Total 49 32 6 2 89 Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more to at least two persons. Women 50-59 60-69 70-79 80+ Total Mother 1 0 0 0 1 Father 1 0 0 0 1 Child1 5 3 6 1 14 Child2 21 10 2 3 37 Child3 1 2 1 0 4 Child4 0 1 0 0 1 Son-in-law 0 0 1 0 1 Grandchild 0 1 7 0 8 Niece 2 0 0 0 2 Nephew 0 1 1 0 2 Friend 1 0 2 0 3 Neighbour 0 0 0 1 1 Total 32 18 20 5 76 Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more to at least two persons.

297

Table FT004e2: Amount given to person 2 “About how much did you or your husband/wife/partner give to this person altogether in the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-999 17 13 5 1 361,000-9,999 26 12 1 1 4010,000-99,999 0 2 0 0 2100,000-999,999 0 1 0 0 1Refusal 2 2 0 0 5Don't know 4 2 0 0 5Total 49 32 6 2 89Remark: The values range from 100 to 200,000. This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more to at least two persons. Women 50-59 60-69 70-79 80+ Total0-999 18 9 12 0 391,000-9,999 11 8 8 4 3110,000-99,999 1 1 0 0 2Refusal 1 0 0 1 2Don't know 1 0 0 0 1Total 32 18 20 5 76Remark: The values range from 150 to 20,000. This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more to at least two persons. Table FT006_2: Reason given to person 2 “Please look at card 29. What was the main reason for this assistance or gift?” Men 50-59 60-69 70-79 80+ TotalTo meet basic needs 6 3 0 0 9To buy or furnish a house or apartment 9 3 1 0 13To help with a large item of expenditure (other than buying a house)

7 5 0 0 13


13 6 2 2 24

To help following a bereavement or illness 2 0 0 0 2For further education 6 2 1 0 9No specific reason 5 9 1 0 15Other reason 0 3 1 0 4Total 49 32 6 2 89Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more to at least two persons. Women 50-59 60-69 70-79 80+ TotalTo meet basic needs 5 2 1 0 8To buy or furnish a house or apartment 1 1 1 1 4To help with a large item of expenditure (other than buying a house)

3 2 2 1 9


8 7 4 2 21

To help following a bereavement or illness 0 0 0 1 1For further education 7 1 1 0 9No specific reason 4 4 7 0 15Other reason 5 1 3 0 9Total 32 18 20 5 76Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more to at least two persons.

298

Table FT003_3: To whom was given gift, person 3 “To whom did you or your husband/wife/partner provide such financial assistance or gift in the last twelve months?” Men 50-59 60-69 70-79 80+ Total Spouse/partner 1 2 0 0 3 Mother 1 0 0 0 1 Sister 0 0 1 0 1 Child2 0 1 1 0 2 Child3 11 5 1 0 16 Child4 0 1 0 0 1 Daughter-in-law 0 0 1 0 1 Grandchild 1 0 0 0 1 Other relative 1 0 0 0 1 Friend 0 1 0 0 1 Other acquaintance 1 0 0 0 1 Total 17 9 4 0 30 Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more to at least three persons.

Women 50-59 60-69 70-79 80+ Total Mother 1 0 0 0 1 Child2 1 1 2 0 4 Child3 1 2 2 0 6 Grandchild 1 1 2 0 5 Other relative 1 0 0 0 1 Total 6 5 7 0 17 Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more to at least three persons.

Table FT004e3: Amount given to person 3 “About how much did you or your husband/wife/partner give to this person altogether in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-999 6 6 3 0 15 1,000-9,999 7 2 1 0 11 10,000-99,999 0 1 0 0 1 Refusal 1 0 0 0 1 Don't know 2 0 0 0 2 Total 17 9 4 0 30 Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more to at least three persons.

Women 50-59 60-69 70-79 80+ Total 0-999 3 3 3 0 10 1,000-9,999 2 1 3 0 7 Total 6 5 7 0 17 Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more to at least three persons.

Table FT006_3: Reason given to person 3 “Please look at card 29. What was the main reason for this assistance or gift?” Men 50-59 60-69 70-79 80+ Total To meet basic needs 1 1 0 0 2 To buy or furnish a house or apartment 1 0 0 0 1 To help with a large item of expenditure (other than buying a house)

5 0 0 0 5


5 5 1 0 10

To help following a bereavement or illness 0 0 1 0 1 For further education 0 1 0 0 1 No specific reason 2 3 0 0 5 Other reason 2 0 2 0 4 Total 17 9 4 0 30 Remark: This table includes those men who report in ft002 to have given a financial or material gift of 250 euro or more to at least 3 persons.

299

Women 50-59 60-69 70-79 80+ TotalTo meet basic needs 1 0 0 0 1To buy or furnish a house or apartment 0 1 0 0 1To help with a large item of expenditure (other than buying a house)

1 0 0 0 1


2 2 2 0 7

For further education 0 0 2 0 2No specific reason 1 2 2 0 5Total 6 5 7 0 17Remark: This table includes those women who report in ft002 to have given a financial or material gift of 250 euro or more to at least three persons. Table FT009: Received financial or material gift 250 euro or more “Please think of the last twelve months. Not counting any shared housing or shared food, have you or your husband/wife/partner received any financial or material gift from anyone inside or outside this household amounting to 250 euro or more?” Men 50-59 60-69 70-79 80+ TotalYes 21 11 10 0 42No 252 202 129 39 622Refusal 0 1 0 0 1Total 273 214 139 39 665 Women 50-59 60-69 70-79 80+ TotalYes 35 21 26 4 86No 261 222 212 125 820Total 295 243 238 129 906 Table FT010_1: From whom received gift, person 1 “Who else has given you or your husband/wife/partner a gift or assistance in the past twelve months?” Men 50-59 60-69 70-79 80+ TotalSpouse/partner 6 3 1 0 10Father 3 0 0 0 3Mother-in-law 2 1 0 0 3Father-in-law 1 0 1 0 2Child1 4 2 2 0 8Child2 0 2 1 0 3Child3 0 0 1 0 1Child5 1 0 0 0 1Other child 0 1 1 0 2Son-in-law 0 0 1 0 1Aunt 1 0 0 0 1Uncle 0 1 0 0 1Other relative 0 1 0 0 1Friend 0 0 1 0 1(Ex-)colleague 0 1 0 0 1Other acquaintance 1 0 1 0 2Total 20 11 10 0 41Remark: This table includes those men who report in ft009 to have received a financial or material gift of 250 euro or more.

300

Women 50-59 60-69 70-79 80+ Total Spouse/partner 9 7 2 0 18 Mother 6 3 0 0 9 Father 2 1 0 0 3 Brother 0 1 0 0 1 Sister 1 2 1 0 4 Child1 5 3 11 3 22 Child2 1 2 4 0 8 Child3 0 1 2 0 3 Child4 0 0 1 0 1 Grandchild 0 0 1 1 2 Nephew 0 0 1 0 1 Friend 5 1 0 0 5 (Ex-)colleague 2 0 0 0 2 Neighbour 1 0 0 0 1 Other acquaintance 2 0 1 0 3 Total 34 20 26 4 84 Remark: This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more. Table FT011e1: Amount received from person 1 “About how much did this person give you or your husband/wife/partner altogether in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-999 9 5 8 0 22 1,000-9,999 6 3 2 0 11 Refusal 2 1 0 0 3 Don't know 4 2 0 0 5 Total 20 11 10 0 41 Remark: The values range from 250 to 9,500.This table includes those men who report in ft009 to have received a financial or material gift of 250 euro or more. Women 50-59 60-69 70-79 80+ Total 0-999 21 14 17 4 56 1,000-9,999 9 2 6 0 17 10,000-99,999 0 1 0 0 1 Refusal 2 1 2 0 6 Don't know 1 1 1 0 4 Total 34 20 26 4 84 Remark: The values range from 96 to 12,000. This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more. Table FT013_1: Reason received gift from person 1 “Please look at card 29. What was the main reason for this assistance or gift?” Men 50-59 60-69 70-79 80+ Total To help with a large item of expenditure (other than buying a house)

0 0 1 0 1


11 7 4 0 22

No specific reason 8 2 1 0 11 Other reason 1 2 4 0 7 Total 20 11 10 0 41 Remark: This table includes those men who report in ft009 to have received a financial or material gift of 250 euro or more.

301

Women 50-59 60-69 70-79 80+ TotalTo meet basic needs 1 2 7 1 11To buy or furnish a house or apartment 1 0 2 0 3To help with a large item of expenditure (other than buying a house)

1 0 3 0 4


9 11 6 2 28

No specific reason 14 5 4 0 23Other reason 8 2 3 1 15Total 34 20 26 4 84Remark: This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more. Table FT010_2: From whom received gift, person 2 “Who else has given you or your husband/wife/partner a gift or assistance in the past twelve months?” Men 50-59 60-69 70-79 80+ TotalFather 1 0 0 0 1Sister 0 1 0 0 1Child1 0 2 0 0 2Child2 0 0 1 0 1Friend 1 1 0 0 2Total 3 3 1 0 7Remark: This table includes those men who report in ft009 to have received a financial or material gift of 250 euro or more from at least two persons. Women 50-59 60-69 70-79 80+ TotalSpouse/partner 1 0 0 0 1Father 1 0 0 0 1Child1 0 1 1 0 2Child2 1 1 5 1 8Total 3 1 6 1 12Remark: This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more from at least two persons. Table FT11e2: Amount received from person 2 “About how much did this person give you or your husband/wife/partner altogether in the last twelve months?” Men 50-59 60-69 70-79 80+ Total0-999 3 2 1 0 610,000-99,999 0 1 0 0 1Total 3 3 1 0 7Remark: The values range from 300 to 15,000. This table includes those men who report in ft009 to have received a financial or material gift of 250 euro or more from at least two persons. Women 50-59 60-69 70-79 80+ Total0-999 2 1 5 1 101,000-9,999 1 0 1 0 2Total 3 1 6 1 12Remark: The values range from 250 to 3,000. This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more from at least two persons. Table FT013_2: Reason received gift from person 2 “Please look at card 29. What was the main reason for this assistance or gift?” Men 50-59 60-69 70-79 80+ TotalTo buy or furnish a house or apartment 0 1 0 0 1For a major family event (birth, marriage, other celebration

3 2 1 0 5

No specific reason 0 1 0 0 1Total 3 3 1 0 7Remark: This table includes those men who report in ft009 to have received a financial or material gift of 250 euro or more from at least two persons.

302

Women 50-59 60-69 70-79 80+ Total To meet basic needs 0 1 1 0 2 To help with a large item of expenditure (other than buying a house)

0 0 1 0 1

For a major family event (birth, marriage, other celebration

1 1 2 1 5

No specific reason 1 0 0 0 1 Other reason 1 0 2 0 3 Total 3 1 6 1 12 Remark: This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more from at least two persons. Table FT010_3: From whom received gift, person 3 “Who else has given you or your husband/wife/partner a gift or assistance in the past twelve months?” Men 50-59 60-69 70-79 80+ Total Friend 0 1 0 0 1 Total 0 1 0 0 1 Remark: This table includes this man who reports in ft009 to have received a financial or material gift of 250 euro or more from at least three persons. Women 50-59 60-69 70-79 80+ Total Child1 1 0 1 0 2 Child2 1 0 0 0 1 Child3 0 1 1 0 2 Son-in-law 0 0 0 1 1 Total 2 1 2 1 6 Remark: This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more from at least three persons. Table FT011e3: Amount received from person 3 “About how much did this person give you or your husband/wife/partner altogether in the last twelve months?” Men 50-59 60-69 70-79 80+ Total 0-999 0 1 0 0 1 Total 0 1 0 0 1 Remark: This table includes this man who reports in ft009 to have received a financial or material gift of 250 euro or more from at least three persons. Women 50-59 60-69 70-79 80+ Total 0-999 2 1 2 1 6 Total 2 1 2 1 6 Remark: the values range from 200 to 800 This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more from at least three persons. Table FT013_3: Reason received gift from person 3 “Please look at card 29. What was the main reason for this assistance or gift?” Men 50-59 60-69 70-79 80+ Total For a major family event (birth, marriage, other celebration)

0 1 0 0 1

Total 0 1 0 0 1 Remark: This table includes this man who reports in ft009 to have received a financial or material gift of 250 euro or more from at least three persons. Women 50-59 60-69 70-79 80+ Total To meet basic needs 0 0 0 1 1 For a major family event (birth, marriage, other celebration)

1 1 0 0 2

No specific reason 1 0 0 0 1 Other reason 0 0 2 0 2 Total 2 1 2 1 6 Remark: This table includes those women who report in ft009 to have received a financial or material gift of 250 euro or more from at least three persons.

303

Table FT015: Ever received gift or inheritance worth more than 5000 euro “Not counting any large gift we have already talked about, have you or your husband/wife/partner ever received a gift or inherited money, goods, or property worth more than 5000 euro?” Men 50-59 60-69 70-79 80+ TotalYes 60 49 15 4 128No 213 164 124 35 536Refusal 0 1 0 0 1Total 273 214 139 39 665

Women 50-59 60-69 70-79 80+ TotalYes 44 41 32 11 128No 251 202 206 119 778Total 295 243 238 129 906

Table FT016_1: Year, inheritance or large gift 1 “In which year did you or your husband/wife/partner receive it?” Men 50-59 60-69 70-79 80+ Total1940-1949 0 0 1 0 11950-1959 0 1 0 0 11960-1969 1 9 5 2 171970-1979 14 11 3 1 291980-1989 19 9 0 0 271990-1999 13 13 1 0 272000 and later 11 6 5 1 23Refusal 0 1 0 0 1Don't know 1 1 0 0 2Total 60 50 15 5 129Remark: The values range from 1943 to 2003. This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro.

Women 50-59 60-69 70-79 80+ Total1950-1959 0 2 1 1 41960-1969 0 4 3 0 81970-1979 7 6 6 1 201980-1989 5 8 6 2 201990-1999 24 15 12 1 512000 and later 8 5 3 2 19Refusal 0 1 0 0 1Don't know 1 2 1 3 7Total 45 42 32 11 130Remark: The values range from 1950 to 2004. This table includes those women who report in ft015 to have received a gift or inheritance worth more than 5,000 euro. Table FT017_1: From whom, inheritance or large gift 1 “From whom did you or your husband/wife/partner receive this gift or inheritance?” Men 50-59 60-69 70-79 80+ TotalSpouse/partner 0 0 1 2 3Mother 14 18 5 1 38Father 32 19 4 1 55Mother-in-law 4 0 0 0 4Father-in-law 3 4 2 0 9Stepfather 1 0 0 0 1Brother 1 1 0 0 2Sister 0 1 0 0 1Grandparent 2 1 0 0 3Aunt 4 2 1 0 7Uncle 0 2 0 0 2Other relative 0 1 1 0 2Other acquaintance 0 0 1 0 1Don't know 0 1 0 0 1Total 60 50 15 5 129Remark: This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro.

304 Women 50-59 60-69 70-79 80+ Total Spouse/partner 4 5 17 3 29 Mother 18 15 3 2 38 Father 20 12 3 1 37 Mother-in-law 0 2 0 0 2 Father-in-law 1 0 1 0 2 Brother 1 2 0 2 5 Sister 0 0 2 0 2 Child1 0 2 0 0 2 Grandparent 0 0 1 0 1 Aunt 1 4 1 1 7 Uncle 0 2 0 0 2 Other relative 0 0 0 1 1 Neighbour 0 0 1 0 1 Other acquaintance 0 1 1 0 2 Total 45 42 32 11 130 This table includes those women who report in ft015 to have received a gift or inheritance worth more than 5,000 euro. Table FT018e1: Amount inheritance or large gift 1 “What was the value of this gift or inheritance at the time you or your husband/wife/partner received it?” Men 50-59 60-69 70-79 80+ Total 0-999 1 1 0 1 3 1,000-9,999 6 2 3 2 14 10,000-99,999 29 24 4 1 58 100,000-999,999 12 12 6 0 30 1,000,000-9,999,999 0 2 0 0 2 Refusal 8 4 1 0 13 Don't know 4 5 1 0 10 Total 60 50 15 5 129 Remark: This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro. Women 50-59 60-69 70-79 80+ Total 1,000-9,999 11 7 2 1 21 10,000-99,999 16 20 20 4 60 100,000-999,999 8 7 7 3 25 Refusal 1 2 1 0 5 Don't know 8 6 2 2 19 Total 45 42 32 11 130 Remark: This table includes those women who report in ft015 to have received a gift or inheritance worth more than 5,000 euro. Table FT016_2: Year, inheritance or large gift 2 “In which year did you or your husband/wife/partner receive it?” Men 50-59 60-69 70-79 80+ Total 1960-1969 0 1 0 0 1 1980-1989 1 2 0 0 3 1990-1999 2 2 0 0 4 2000 and later 0 4 0 0 4 Total 4 8 0 0 12 Remark: The values range from 1967 to 2001. This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro from at least two persons. Women 50-59 60-69 70-79 80+ Total 1980-1989 0 0 2 0 2 2000 and later 1 0 0 0 1 Don't know 0 0 0 1 1 Total 1 0 2 1 4 Remark: The values range from 1980 to 2002. This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro from at least two persons.

305

Table FT017_2: From whom, inheritance or large gift 2 “From whom did you or your husband/wife/partner receive this gift or inheritance?” Men 50-59 60-69 70-79 80+ TotalMother 2 1 0 0 3Father 0 3 0 0 3Father-in-law 0 1 0 0 1Aunt 0 1 0 0 1Other relative 1 1 0 0 2Friend 0 2 0 0 2Total 4 8 0 0 12Remark: This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro from at least two persons. Women 50-59 60-69 70-79 80+ TotalSpouse/partner 0 0 1 0 1Mother 0 0 1 0 1Mother-in-law 0 0 0 1 1Other acquaintance 1 0 0 0 1Total 1 0 2 1 4Remark: This table includes those women who report in ft015 to have received a gift or inheritance worth more than 5,000 euro from at least two persons. Table FT018e2: amount inheritance or large gift 2 “What was the value of this gift or inheritance at the time you or your husband/wife/partner received it?” Men 50-59 60-69 70-79 80+ Total1,000-9,999 0 1 0 0 110,000-99,999 1 4 0 0 5100,000-999,999 1 2 0 0 3Refusal 1 0 0 0 1Don't know 0 2 0 0 2Total 4 8 0 0 12Remark: The values range from 6,000 to 363,364.17. This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro from at least two persons. Women 50-59 60-69 70-79 80+ Total1,000-9,999 1 0 0 0 110,000-99,999 0 0 1 0 1100,000-999,999 0 0 1 0 1Don't know 0 0 0 1 1Total 1 0 2 1 4Remark: The values range from 7,000 to 500,000. This table includes those men who report in ft015 to have received a gift or inheritance worth more than 5,000 euro from at least two persons. Table FT021: Who answered the questions in ft38 Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 273 209 129 37 647Respondent and proxy 0 5 9 2 16Proxy only 0 1 1 0 2Total 273 214 139 39 665 Women 50-59 60-69 70-79 80+ TotalRespondent only 291 240 236 114 881Respondent and proxy 2 3 0 9 14Proxy only 2 0 2 7 11Total 295 243 238 129 906

38 In the Austrian dataset there are no respondents who have received a gift or inheritance worth more than 5,000 euro from three or more persons.

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3.14 Housing (HO) The questions in the housing module are asked to the household respondents.39 Table HO001: Interview in house of respondent Interviewer: Does the interview take place in the respondent’s house or flat? Men 50-59 60-69 70-79 80+ Total Yes 237 197 130 38 602 No 12 9 6 0 27 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Yes 224 202 220 118 764 No 16 9 12 6 42 Total 239 211 232 124 806 Table HO002: Owner, tenant or rent free “Do you live as an owner, a main tenant, a subtenant, or do you live rent free?” Men 50-59 60-69 70-79 80+ Total Owner 156 138 82 11 387 Tenant 70 47 30 19 167 Subtenant 7 6 3 2 19 Rent free 15 15 20 6 56 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Owner 154 120 108 47 429 Tenant 72 66 71 41 250 Subtenant 4 7 6 8 25 Rent free 9 17 47 27 101 Don't know 0 0 0 1 1 Total 239 211 232 124 806 Table HO003: Rent payment period “Thinking about your last rent payment, what period did this cover?” Men 50-59 60-69 70-79 80+ Total A month 73 52 31 20 176 Three months 1 0 0 0 1 Another period of time 1 0 1 1 3 Total 76 52 32 21 181 Remark: This table includes those men who report in ho002 to have are neither an owner and nor living rent free. Women 50-59 60-69 70-79 80+ Total A week 1 1 1 2 6 A month 77 72 76 49 274 Three months 0 2 0 0 2 Another period of time 0 1 1 0 2 Don't know 1 0 0 0 1 Total 79 75 79 51 284 Remark: This table includes those women who report in ho002 to have are neither an owner and nor living rent free.

39 These are those persons with dumhhr = 1.

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Table HO005e: Amount last rent payment “How much was your last payment?” Men 50-59 60-69 70-79 80+ Total0-99 3 0 1 1 5100-999 70 50 28 18 1671,000-9,999 1 0 0 0 1Refusal 1 2 3 0 6Don't know 0 0 0 1 1Total 76 52 32 21 181 Women 50-59 60-69 70-79 80+ Total0-99 6 5 4 3 18100-999 67 67 68 37 2401,000-9,999 1 0 1 0 2Refusal 4 2 4 7 17Don't know 1 1 2 3 7Total 79 75 79 51 284 Table HO007: Last rent payment includes all charges and services “Did your last payment include all charges and services, such as water charges, garbage removal, upkeep of common space, electricity, gas, or heating?” Men 50-59 60-69 70-79 80+ TotalYes 36 28 18 12 94No 40 25 14 9 86Don't know 0 0 1 0 1Total 76 52 32 21 181Remark: This table includes those men who report in ho002 to have are neither an owner and nor living rent free. Women 50-59 60-69 70-79 80+ TotalYes 37 36 41 28 142No 40 39 34 22 135Refusal 1 0 1 1 3Don't know 1 0 2 0 3Total 79 75 79 51 284Remark: This table includes those women who report in ho002 to have are neither an owner and nor living rent free. Table HO008e: Amount charges and services “About how much did you pay for charges and services that were not included in your rent during the last (week/month/three months/six months/period of payment)?” Men 50-59 60-69 70-79 80+ Total0-99 18 14 6 6 45100-999 15 8 6 1 30Refusal 0 2 0 0 2Don't know 6 1 1 1 9Total 39 24 13 8 85 Women 50-59 60-69 70-79 80+ Total0-99 24 28 15 13 80100-999 8 8 11 2 291,000-9,999 0 0 1 0 1Refusal 0 0 0 2 2Don't know 8 4 7 5 25Total 41 40 35 23 138

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Table HO010: Behind with rent “In the last twelve months, have you ever found yourself more than two months behind with your rent?” Men 50-59 60-69 70-79 80+ Total Yes 4 1 1 0 5 No 72 52 31 21 176 Total 76 52 32 21 181 Remark: This table includes those men who report in ho002 to have are neither an owner and nor living rent free. Women 50-59 60-69 70-79 80+ Total Yes 5 1 1 0 7 No 73 74 76 51 275 Refusal 0 0 1 0 1 Don't know 1 0 0 0 1 Total 79 75 79 51 284 Remark: This table includes those women who report in ho002 to have are neither an owner and nor living rent free. Table HO011: How property acquired “How did you acquire this property? Did you…?” Men 50-59 60-69 70-79 80+ Total Purchase or build it solely with own means 106 93 74 7 280 Purchase or build it with help from family 16 10 3 0 29 Receive it as a bequest 29 28 7 3 68 Receive it as a gift 3 2 0 1 7 Acquire it through other means 2 5 0 0 7 Total 157 139 83 11 391 Remark: This table includes those men who report in ho002 to have are an owner. Women 50-59 60-69 70-79 80+ Total Purchase or build it solely with own means 101 83 74 31 290 Purchase or build it with help from family 9 9 13 2 33 Receive it as a bequest 23 22 17 12 74 Receive it as a gift 10 2 1 0 13 Acquire it through other means 10 4 1 1 16 Total 153 119 107 47 426 Remark: This table includes those women who report in ho002 to have are an owner. Table HO012: Year acquired property “In which year was that?” Men 50-59 60-69 70-79 80+ Total 1930-1939 0 0 1 0 1 1940-1949 0 0 2 2 5 1950-1959 1 7 19 5 32 1960-1969 6 37 31 2 76 1970-1979 53 47 12 0 112 1980-1989 58 26 9 0 92 1990-1999 25 16 5 1 47 2000 and later 12 7 0 0 19 Refusal 0 0 1 0 1 Don't know 3 0 2 1 6 Total 157 139 83 11 391 Remark: This table includes those men who report in ho002 to have are an owner. The values range from 1932 to 2004.

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Women 50-59 60-69 70-79 80+ Total1910-1919 1 0 0 0 11930-1939 0 0 0 1 11940-1949 0 0 3 3 61950-1959 2 10 39 18 701960-1969 7 34 24 9 751970-1979 61 41 15 7 1241980-1989 45 16 12 3 771990-1999 26 12 7 2 472000 and later 6 3 1 3 13Refusal 0 0 1 0 1Don't know 4 2 3 1 11Total 153 119 107 47 426Remark: This table includes those women who report in ho002 to have are an owner. The values range from 1919 to 2004. Table HO013: Mortgages or loans on property “Do you have mortgages or loans on this property?” Men 50-59 60-69 70-79 80+ TotalYes 63 13 3 0 79No 94 124 80 11 310Refusal 1 1 0 0 2Don't know 0 1 0 0 1Total 157 139 83 11 391Remark: This table includes those men who report in ho002 to have are an owner. Women 50-59 60-69 70-79 80+ TotalYes 39 12 6 0 56No 114 107 101 47 370Total 153 119 107 47 426Remark: This table includes those women who report in ho002 to have are an owner. Table HO014: Years left of mortgage or loan “How many years do your mortgages or loans on this property have left to run?” Men 50-59 60-69 70-79 80+ Total0-9 20 7 3 0 3010-19 25 3 0 0 2820-29 5 1 0 0 730-39 1 0 0 0 140-49 1 0 0 0 1Refusal 1 0 0 0 1Don't know 1 0 0 0 1Total 55 11 3 0 69Remark: The values range from 1 to 40. This table includes those men who report in ho013 to have have mortages or loans on the property. Women 50-59 60-69 70-79 80+ Total0-9 17 5 1 0 2310-19 16 6 4 0 2620-29 3 1 0 0 430-39 1 0 0 0 1Don't know 3 1 1 0 5Total 40 12 6 0 58Remark: The values range from 1 to 30. This table includes those women who report in ho013 to have have mortages or loans on the property.

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Table HO015e: Amount still to pay on mortgage or loan “How much do you or your husband/wife/partner still have to pay on your mortgages or loans, excluding interest?” Men 50-59 60-69 70-79 80+ Total 0-999 13 3 2 0 18 1,000-9,999 9 4 1 0 14 10,000-99,999 20 4 0 0 24 100,000-999,999 1 1 0 0 2 Refusal 7 0 0 0 7 Don't know 4 0 0 0 4 Total 55 11 3 0 69 Women 50-59 60-69 70-79 80+ Total 0-999 9 1 1 0 11 1,000-9,999 3 5 1 0 9 10,000-99,999 13 2 2 0 18 100,000-999,999 1 0 0 0 1 Refusal 3 0 0 0 3 Don't know 11 4 1 0 16 Total 40 12 6 0 58 Table HO017: Regularly repay mortgage or loans “Do you regularly repay your mortgages or loans?” Men 50-59 60-69 70-79 80+ Total Yes 55 11 3 0 69 Total 55 11 3 0 69 Remark: This table includes those men who report in ho013 to have have mortages or loans on the property. Women 50-59 60-69 70-79 80+ Total Yes 39 12 6 0 57 No 1 0 0 0 1 Total 40 12 6 0 58 Remark: This table includes those women who report in ho013 to have have mortages or loans on the property. Table HO018: Period repay mortgage or loan “Thinking about your last repayment, what period did this cover? Was that…?” Men 50-59 60-69 70-79 80+ Total A week 0 1 0 0 1 A month 40 7 1 0 47 Three months 4 0 0 0 4 Six months 10 3 1 0 14 Another period of time 1 1 1 0 3 Total 55 11 3 0 69 Remark: This table includes those men who report in ho017 to have regularly repay mortages or loans. Women 50-59 60-69 70-79 80+ Total A month 30 11 6 0 47 Three months 4 1 0 0 4 Six months 5 1 0 0 6 Total 39 12 6 0 57 Remark: This table includes those women who report in ho017 to have regularly repay mortages or loans.

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Table HO020e: Amount regular repay mortgage or loan “How much are the regular payments for all mortgages and loans outstanding on this property?” Men 50-59 60-69 70-79 80+ Total0-99 2 1 0 0 3100-999 37 9 3 0 491,000-9,999 6 1 0 0 710,000-99,999 1 0 0 0 1Refusal 7 0 0 0 7Don't know 2 0 0 0 2Total 55 11 3 0 69 Women 50-59 60-69 70-79 80+ Total0-99 2 2 2 0 6100-999 21 8 2 0 311,000-9,999 2 1 0 0 310,000-99,999 3 0 0 0 3Refusal 4 1 0 0 5Don't know 7 1 1 0 9Total 39 12 6 0 57 Table HO022: Behind with regular repay mortgage or loan “In the last twelve months, have you ever found yourself more than two months behind with these repayments?” Men 50-59 60-69 70-79 80+ TotalYes 1 0 0 0 1No 54 11 3 0 68Total 55 11 3 0 69Remark: This table includes those men who report in ho017 to have regularly repay mortages or loans. Women 50-59 60-69 70-79 80+ TotalYes 1 0 0 0 1No 38 12 6 0 56Total 39 12 6 0 57Remark: This table includes those women who report in ho017 to have regularly repay mortages or loans. Table HO023: Sublet or let parts of accommodation “Do you let/sublet parts of this accommodation?” Men 50-59 60-69 70-79 80+ TotalYes 8 4 2 0 14No 225 187 113 32 558Total 233 191 115 32 572Remark: This table includes those men who report in ho002 to have do not rent free. Women 50-59 60-69 70-79 80+ TotalYes 4 4 6 3 16No 227 191 179 95 693Don't know 1 0 0 0 1Total 232 195 185 98 710Remark: This table includes those women who report in ho002 to have do not rent free.

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Table HO024e: Value of property “In your opinion, how much would you receive if you sold your property today?” Men 50-59 60-69 70-79 80+ Total 0-999 4 1 1 0 5 1,000-9,999 1 0 0 0 1 10,000-99,999 18 27 12 4 60 100,000-999,999 103 78 47 4 232 1,000,000-9,999,999 1 1 1 0 4 Refusal 6 8 3 1 18 Don't know 24 24 19 3 70 Total 157 139 83 11 391 Women 50-59 60-69 70-79 80+ Total 0-999 3 1 2 1 7 1,000-9,999 1 0 0 0 1 10,000-99,999 20 20 20 5 65 100,000-999,999 77 71 43 25 217 1,000,000-9,999,999 6 0 1 1 9 Refusal 4 2 6 1 14 Don't know 41 25 33 13 113 Total 152 119 107 47 425 Table HO026: Own other real estate “Not including special time-arrangements, do you or your husband/wife/partner own secondary homes, holiday homes, other real estate, land or forestry?” Men 50-59 60-69 70-79 80+ Total Yes 47 39 13 3 102 No 202 167 122 35 526 Refusal 0 1 0 0 1 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Yes 23 20 12 5 60 No 217 191 220 119 746 Total 239 211 232 124 806 Table HO027e: Value of other real estate “In your opinion, how much would this property be worth now if you sold it?” Men 50-59 60-69 70-79 80+ Total 0-999 1 1 1 1 5 1,000-9,999 2 1 0 0 3 10,000-99,999 14 8 3 1 25 100,000-999,999 16 18 9 0 42 1,000,000-9,999,999 1 0 1 0 2 Refusal 5 4 0 0 8 Don't know 7 7 0 1 16 Total 47 39 13 3 102 Women 50-59 60-69 70-79 80+ Total 0-999 1 1 0 2 3 1,000-9,999 0 0 2 2 4 10,000-99,999 4 6 1 0 12 100,000-999,999 10 7 4 1 21 Refusal 0 1 2 0 2 Don't know 8 6 4 1 19 Total 23 21 12 6 62

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Table HO029: Received income or rent of other real estate “Did you or your husband/wife/partner receive any income or rent from these properties in 2003?” Men 50-59 60-69 70-79 80+ TotalYes 5 7 6 0 18No 42 32 7 3 84Total 47 39 13 3 102Remark: This table includes those men who report in ho026 to have own other real estate. Women 50-59 60-69 70-79 80+ TotalYes 2 2 2 1 7No 22 19 11 5 56Total 24 21 12 6 63Remark: This table includes those women who report in ho026 to have own other real estate. Table HO030e: Amount income or rent of other real estate last year “How much income or rent did you or your husband/wife/partner receive from these properties during 2003, before taxes?” Men 50-59 60-69 70-79 80+ Total0-999 0 1 0 0 11,000-9,999 2 3 5 0 1010,000-99,999 1 2 0 0 3Refusal 1 1 1 0 4Don't know 0 2 0 0 2Total 5 8 7 0 19 Women 50-59 60-69 70-79 80+ Total0-999 0 1 0 1 21,000-9,999 2 0 0 0 2Refusal 0 0 1 0 1Don't know 0 2 0 0 2Total 2 2 1 1 7 Table HO032: Number of rooms in accommodation “How many rooms do you have for your household members’ personal use, including bedrooms but excluding kitchen, bathrooms, and hallways (and any rooms you may let or sublet)?” Men 50-59 60-69 70-79 80+ Total1 12 3 4 4 242 37 36 27 16 1153 59 59 39 11 1674 57 45 26 4 1325 45 37 19 3 1046 17 17 13 0 477 11 5 5 0 218 5 2 2 0 99 2 0 0 0 210 1 2 2 0 515 0 1 0 0 116 1 0 0 0 1Total 249 206 136 38 629

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Women 50-59 60-69 70-79 80+ Total 1 7 6 16 18 47 2 38 45 69 41 193 3 75 79 72 44 270 4 53 37 39 7 136 5 25 21 19 4 69 6 21 16 16 2 55 7 11 3 1 5 20 8 7 1 0 0 8 9 1 1 0 0 2 10 0 1 0 0 1 13 1 0 0 0 1 20 0 1 0 0 1 Don't know 0 0 0 3 3 Total 239 211 232 124 806 Table HO033: Special features in accommodation “Does your home have special features that assist persons who have physical impairments or health problems?” Men 50-59 60-69 70-79 80+ Total Yes 13 8 8 5 33 No 236 199 127 34 596 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Yes 11 11 18 19 60 No 229 199 214 105 746 Total 239 211 232 124 806 Table HO034: Years in accommodation “How many years have you been living in your present accommodation?” Men 50-59 60-69 70-79 80+ Total 0-9 56 23 12 6 98 10-19 56 32 16 2 106 20-29 69 50 17 3 139 30-39 41 50 36 6 134 40-49 6 31 36 11 84 50-59 16 6 9 9 40 60-69 1 12 1 0 14 70-79 0 1 8 0 9 Don't know 3 1 1 1 6 Total 249 206 136 38 629 Remark: The values range from 0 to 76. Women 50-59 60-69 70-79 80+ Total 0-9 34 26 23 15 98 10-19 49 20 29 10 108 20-29 77 45 31 9 162 30-39 58 53 33 16 161 40-49 5 44 60 34 143 50-59 14 3 41 23 83 60-69 0 16 2 9 27 70-79 0 0 7 5 12 80-89 0 0 0 1 1 Refusal 1 1 1 1 4 Don't know 0 2 3 1 7 Total 239 211 232 124 806 Remark: The values range from 0 to 80.

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Table HO035: Years in community “And approximately how many years have you been living in your present town?” Men 50-59 60-69 70-79 80+ Total0-9 20 10 6 1 3610-19 20 13 11 1 4520-29 45 25 9 2 8130-39 43 28 13 5 8940-49 17 32 30 5 8350-59 99 16 12 11 13760-69 2 82 5 3 9270-79 0 1 47 0 4880-89 0 0 1 9 1190-99 0 0 0 1 1Don't know 3 0 2 0 5Total 249 206 136 38 629Remark: The values range from 1 to 90. Women 50-59 60-69 70-79 80+ Total0-9 14 10 11 6 4010-19 16 7 7 3 3420-29 44 20 14 3 8230-39 63 28 14 12 11840-49 12 43 38 13 10650-59 89 18 49 18 17360-69 1 83 9 17 11070-79 0 0 82 9 9180-89 0 0 1 36 3890-99 0 0 0 3 3100-999 0 0 1 0 1Refusal 1 1 1 1 4Don't know 0 1 4 1 6Total 239 211 232 124 806Remark: The values range from 1 to 119. Table HO036: Type of building “What type of building does your household live in?” Men 50-59 60-69 70-79 80+ TotalA farm house 0 0 1 0 1A free standing one or two family house 6 4 5 0 14A one or two family house as row or double house 0 3 0 0 3A building with 3 to 8 flats 2 1 0 0 3A building with 9 or more flats but no more than 8 floors

4 2 0 0 6

Total 12 9 6 0 27Remark: This table includes those men who report in ho001 to have are not interviewed in their house. Women 50-59 60-69 70-79 80+ TotalA farm house 1 0 0 0 1A free standing one or two family house 4 4 3 1 13A one or two family house as row or double house 1 0 1 0 2A building with 3 to 8 flats 1 4 2 1 9A building with 9 or more flats but no more than 8 floors

6 2 4 1 13

A high-rise with 9 or more floors 1 0 1 0 2A housing complex with services for elderly 0 0 0 1 1Special housing for elderly (24 hours attention) 0 0 0 1 1Total 16 9 12 6 42Remark: This table includes those women who report in ho001 to have are not interviewed in their house.

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Table HO042: Number of floors of building “Including the ground floor, how many floors does the building your household lives in have?” Men 50-59 60-69 70-79 80+ Total 2 2 0 0 0 2 3 2 1 0 0 4 4 1 0 0 0 1 8 0 1 0 0 1 Total 5 3 0 0 8 Remark: This table includes those men who report in ho036 that the building their household lives is either a building with 3 to 8 flats or is a building with 9 or more flats but no more than 8 floors. Women 50-59 60-69 70-79 80+ Total 2 0 2 1 1 4 3 4 2 1 1 8 4 2 2 0 0 3 5 2 1 1 0 4 6 0 0 3 0 3 8 1 0 0 0 1 Total 8 6 6 2 22 Remark: This table includes those women who report in ho036 that the building their household lives is either a building with 3 to 8 flats or is a building with 9 or more flats but no more than 8 floors. Table HO043: Number of steps to entrance “How many steps have to be climbed (up or down) to get to the main entrance of your flat?” Men 50-59 60-69 70-79 80+ Total Up to 5 1 1 0 0 2 6 to 15 2 0 0 0 2 More than 25 2 1 0 0 3 Total 5 3 0 0 8 Remark: This table includes those men who report in ho036 that the building their household lives is either a building with 3 to 8 flats or is a building with 9 or more flats but no more than 8 floors. Women 50-59 60-69 70-79 80+ Total Up to 5 1 3 2 2 9 6 to 15 2 0 1 0 4 16 to 25 3 1 0 1 5 More than 25 3 1 3 1 8 Total 9 5 7 5 26 Remark: This table includes those women who report in ho036 that the building their household lives is either a building with 3 to 8 flats or is a building with 9 or more flats but no more than 8 floors, or is a high-rise with 9 or more floors, or is a housing complex with services for elderly or is a building with special housing for elderly (24 hours attention). Table HO037: Area where you live “Please look at card 30. How would you describe the area where you live?” Men 50-59 60-69 70-79 80+ Total A big city 0 1 0 0 1 The suburbs or outskirts of a big city 5 0 0 0 5 A large town 2 2 0 0 4 A small town 2 1 0 0 4 A rural area or village 2 5 6 0 13 Total 12 9 6 0 27 Remark: This table includes those men who report in ho001 to have are not interviewed in their house.

317

Women 50-59 60-69 70-79 80+ TotalA big city 4 1 0 1 6The suburbs or outskirts of a big city 0 1 1 0 2A large town 4 3 7 3 18A small town 2 1 0 1 4A rural area or village 5 4 3 0 12Total 16 9 12 6 42Remark: This table includes those women who report in ho001 to have are not interviewed in their house. Table HO038: Spend regulary time in other residence “Apart from vacations or brief visits, do you regularly spend part of the year in another residence?” Men 50-59 60-69 70-79 80+ TotalYes 26 20 5 0 51No 223 187 130 38 578Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ TotalYes 15 8 12 6 41No 224 203 220 118 765Total 239 211 232 124 806 Table HO039: Location of other residence “Where is this residence located?” Men 50-59 60-69 70-79 80+ TotalIn same city or community 3 6 0 0 9In another part of the country 14 8 2 0 24In another country (please specify) 10 6 4 0 20Total 26 20 6 0 52Remark: This table includes those men who report in ho038 to have spend regularly time in another residence. Women 50-59 60-69 70-79 80+ TotalIn same city or community 2 2 1 2 8In another part of the country 7 4 7 3 22In another country (please specify) 6 1 4 0 11Total 15 8 12 6 41Remark: This table includes those women who report in ho038 to have spend regularly time in another residence. Table HO041: Who answered the questions in ho Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 246 201 123 36 606Respondent and proxy 2 6 12 2 23Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ TotalRespondent only 236 211 228 112 787Respondent and proxy 2 0 1 8 12Proxy only 1 0 2 4 7Total 239 211 232 124 806

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3.15 Household Income (HH) The questions in the household income module are asked to the household repondents40. Table HH001: Other contributor to household income “In the last year, that is in 2003, was there any household member who contributed to your household income and who is not part of this interview?” Men 50-59 60-69 70-79 80+ Total Yes 108 91 40 8 248 No 140 115 95 30 381 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Yes 107 72 65 19 263 No 132 139 167 105 543 Total 239 211 232 124 806 Table HH002e: Total income other household members “Can you give us the approximate total amount of income received in 2003 by other household members before any taxes or contributions?” Men 50-59 60-69 70-79 80+ Total 0-99 8 7 5 2 24 100-999 9 10 10 0 30 1,000-9,999 29 24 12 3 68 10,000-99,999 40 23 2 1 66 100,000-999,999 1 0 1 0 2 Refusal 11 15 5 0 30 Don't know 9 10 4 2 25 Total 108 89 40 8 245 Remark: The values range from 1 to 252,000. This table includes those men who report in hh001 that there was a household member who contributed to the household income. tributed to the household income. Women 50-59 60-69 70-79 80+ Total 0-99 4 6 8 4 21 100-999 2 2 4 0 8 1,000-9,999 28 18 13 5 65 10,000-99,999 29 23 17 5 73 100,000-999,999 0 1 0 0 1 Refusal 17 6 9 0 32 Don't know 21 12 7 4 44 Total 101 67 58 18 244 Remark: The values range from 200 to 250,000. This table includes those women who report in hh001 that there was a household member who contributed to the household income. Table HH010: Income from other sources “Some households receive payments such as housing allowances, child benefits, poverty relief etc. Has your household or anyone in your household received any such payments in 2003?” Men 50-59 60-69 70-79 80+ Total Yes 36 12 0 1 49 No 213 194 136 37 580 Total 249 206 136 38 629

40 These are those persons with dumhhr=1.

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Women 50-59 60-69 70-79 80+ TotalYes 25 14 8 6 53No 214 196 224 118 752Refusal 0 1 0 0 1Total 239 211 232 124 806 Table HH011e: Additional income received by all household members in last year “Please give us the approximate total amount of income from these benefits that you received as a household in 2003, before any taxes and contributions.” Men 50-59 60-69 70-79 80+ Total0-99 1 2 0 1 4100-999 4 2 0 0 71,000-9,999 16 4 0 0 2010,000-99,999 1 2 0 0 3Refusal 1 0 0 0 1Don't know 8 1 0 0 9Total 32 11 0 1 44Remark: The values range from 96 to 13,000. This table includes those men who report in hh010 to have received some mentioned payments. Women 50-59 60-69 70-79 80+ Total0-99 2 2 1 2 8100-999 8 4 2 0 141,000-9,999 13 6 4 4 27Refusal 1 1 0 0 2Don't know 3 1 1 0 5Total 26 14 8 6 55Remark: The values range from 17 to 6,000. This table includes those women who report in hh010 to have received some mentioned payments Table HH014: Who answered the questions in hh Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 245 201 125 36 607Respondent and proxy 3 6 10 2 22Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ TotalRespondent only 236 211 228 113 788Respondent and proxy 2 0 1 7 11Proxy only 1 0 2 4 7Total 239 211 232 124 806

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3.16 Consumption (CO) The questions in the consumption module are asked to the household respondents41. Table CO002e: Amount spent on food at home “Please look at card 31. Thinking about the last 12 months: about how much did your household spend in a typical month on food to be consumed at home?” Men 50-59 60-69 70-79 80+ Total 0-99 5 2 4 2 13 100-199 14 18 10 6 48 200-299 35 19 19 11 84 300-399 49 41 29 4 123 400-499 33 38 18 3 91 500-599 33 41 18 7 100 600-699 21 9 6 0 36 700-799 11 8 4 1 24 800-899 5 4 3 0 12 900-999 1 1 0 0 3 1,000-9,999 16 4 4 0 24 Refusal 2 3 5 0 11 Don't know 22 19 14 5 59 Total 249 206 134 38 628 Remark: The values range from 0 to 9,600. Women 50-59 60-69 70-79 80+ Total 0-99 6 1 10 9 27 100-199 22 31 43 36 132 200-299 34 46 60 22 161 300-399 39 44 40 19 142 400-499 50 33 18 5 106 500-599 31 18 16 3 68 600-699 12 10 6 4 33 700-799 10 6 1 0 17 800-899 4 2 3 2 10 900-999 0 0 1 0 1 1,000-9,999 8 4 5 3 20 Refusal 0 2 2 2 7 Don't know 23 12 24 19 79 Total 238 211 231 123 803 Remark: The values range from 0 to 7,000. Table CO003e: Amount spent on food outside the home “Please look at card 31. Still thinking about the last 12 months: about how much did your household spend in a typical month on food to be consumed outside home?” Men 50-59 60-69 70-79 80+ Total 0-99 126 111 75 25 336 100-999 107 85 45 11 248 1,000-9,999 0 2 2 0 4 Refusal 1 2 5 0 8 Don't know 13 7 9 2 32 Total 248 206 136 38 628 Remark: The valuevalues range from 0 to 8,000.

41 These are those persons with dumhhr = 1.

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Women 50-59 60-69 70-79 80+ Total0-99 143 152 171 96 562100-999 76 46 47 17 1871,000-9,999 5 2 0 3 10Refusal 0 1 2 2 6Don't know 14 9 11 5 39Total 238 211 231 123 803Remark: The values range from 0 to 2,000. Table CO004e: Amount spent on telephones in last month “Please look at card 31. Again, in the last 12 months: about how much was your household’s expenditure for telephone calls and charges in a typical month?” Men 50-59 60-69 70-79 80+ Total0-99 182 176 109 34 500100-999 57 23 17 3 1001,000-9,999 0 1 0 0 1Refusal 1 2 5 0 8Don't know 9 5 5 1 20Total 249 206 136 38 629Remark: The values range from 0 to 1,200. Women 50-59 60-69 70-79 80+ Total0-99 184 184 202 106 676100-999 44 17 17 8 851,000-9,999 1 0 0 2 310,000-99,999 1 0 0 0 1Refusal 0 1 2 1 5Don't know 10 8 11 7 35Total 240 211 232 123 805Remark: The values range from 0 to 10,000 Table CO005e: Amount spent on all goods and services in last month “Please look at card 31. Thinking about the last 12 months: about how much did your household spend in a typical month on all goods and services, including groceries, eating out, telephone and everything else?” Men 50-59 60-69 70-79 80+ Total0-99 0 1 2 1 5100-999 124 105 64 28 3211,000-9,999 97 75 50 6 22810,000-99,999 0 3 0 0 3Refusal 2 4 6 0 13Don't know 24 17 10 4 55Total 247 206 133 38 624Remark: The values range from 0 to 12,000. Women 50-59 60-69 70-79 80+ Total0-99 2 6 6 4 17100-999 121 138 147 88 4951,000-9,999 87 51 42 8 18710,000-99,999 1 0 0 0 1Refusal 2 2 8 2 14Don't know 27 14 29 20 89Total 239 210 232 122 803Remark: The values range from 0 to 10,000.

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Table CO007: Is household able to make ends meet “Thinking of your household’s total monthly income, would you say that your household is able to make ends meet …” Men 50-59 60-69 70-79 80+ Total With great difficulty 18 6 5 3 33 With some difficulty 50 38 19 4 111 Fairly easily 120 98 67 19 305 Easily 60 63 44 12 179 Don't know 0 1 0 0 1 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total With great difficulty 18 14 16 7 55 With some difficulty 54 50 68 33 204 Fairly easily 115 105 103 50 374 Easily 52 41 44 33 170 Refusal 0 1 0 0 1 Don't know 1 0 1 1 3 Total 239 211 232 124 806 Table CO008: Situation improvement thinking back one year “Thinking back to one year ago, would you say your household’s financial situation today has …” Men 50-59 60-69 70-79 80+ Total Greatly improved 3 0 1 0 3 Somewhat improved 22 8 6 1 37 Remained the same 142 127 90 34 393 Somewhat deteriorated 68 69 34 2 173 Greatly deteriorated 14 2 5 1 22 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Greatly improved 2 0 3 0 5 Somewhat improved 16 11 4 2 34 Remained the same 137 129 168 87 521 Somewhat deteriorated 70 64 48 33 214 Greatly deteriorated 14 6 8 1 29 Refusal 0 1 0 0 1 Don't know 0 0 1 1 3 Total 239 211 232 124 806 Table CO009: Who answered the questions in co Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ Total Respondent only 242 197 123 36 598 Respondent and proxy 7 9 12 2 31 Total 249 206 136 38 629 Women 50-59 60-69 70-79 80+ Total Respondent only 236 211 227 111 785 Respondent and proxy 2 0 2 10 14 Proxy only 1 0 2 4 7 Total 239 211 232 124 806

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3.17 Assets (AS) The questions in the assets module are asked to all eligibles persons who are the financial respondent or who answer that the finances are totally separate.42 Table AS002d1: Savings or investments, asset c1 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Bank accounts, transaction accounts or saving accounts) Men 50-59 60-69 70-79 80+ TotalNot selected 129 89 59 30 307Selected 208 165 105 22 501Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 168 129 121 58 476Selected 210 177 160 79 626Total 378 306 281 136 1,102 Table AS002d2: Savings or investments, asset c2 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Government or corporate bonds) Men 50-59 60-69 70-79 80+ TotalNot selected 318 232 155 51 756Selected 20 22 9 1 52Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 361 297 269 133 1,060Selected 17 9 13 3 42Total 378 306 281 136 1,102 Table AS002d3: Savings or investments, asset c3 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Stocks or shares) Men 50-59 60-69 70-79 80+ TotalNot selected 315 239 156 52 763Selected 22 15 8 0 45Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 365 297 279 136 1,077Selected 14 9 2 0 25Total 378 306 281 136 1,102

42 These are those persons with dumfinr=1 or with finsep=1.

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Table AS002d4: Savings or investments, asset c4 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Mutual funds or managed investment accounts) Men 50-59 60-69 70-79 80+ Total Not selected 310 243 160 51 764 Selected 28 11 4 1 44 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 362 295 280 136 1,074 Selected 16 11 1 0 28 Total 378 306 281 136 1,102 Table AS002d5: Savings or investments, asset c5 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Individual retirements accounts) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table AS002d6: Savings or investments, asset c6 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Contractual saving for housing) Men 50-59 60-69 70-79 80+ Total Not selected 207 159 116 46 527 Selected 131 95 48 7 281 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 255 212 218 112 798 Selected 123 94 63 24 304 Total 378 306 281 136 1,102 Table AS002d7: Savings or investments, asset c7 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (Life insurance) Men 50-59 60-69 70-79 80+ Total Not selected 220 214 150 49 633 Selected 118 40 14 3 175 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 299 262 265 131 958 Selected 79 44 16 5 144 Total 378 306 281 136 1,102 Table AS002d8: Savings or investments, asset c8 “Please look at card 32. Looking at this card, which, if any, of these savings and investments do you or your husband/wife/partner have?” (None of these) Men 50-59 60-69 70-79 80+ Total Not selected 317 250 164 52 784 Selected 20 4 0 0 24 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 365 306 280 135 1,086Selected 14 0 1 1 16Total 378 306 281 136 1,102 Table AS003e: Amount bank account “About how much did you or your husband/wife/partner receive from such accounts in 2003?” Men 50-59 60-69 70-79 80+ Total0-999 38 20 11 3 731,000-9,999 65 35 28 8 13610,000-99,999 35 37 19 6 97100,000-999,999 1 6 1 1 9Refusal 31 44 27 1 104Don't know 40 25 20 3 87Total 210 166 106 22 505Remark: The values range from 0 to 300,000. This table includes those men who report in as002d1 to have bank accounts, transaction accounts or savings accounts. Women 50-59 60-69 70-79 80+ Total<0 5 2 0 0 60-999 54 41 24 14 1331,000-9,999 53 44 39 19 15410,000-99,999 22 22 22 13 79100,000-999,999 2 2 2 1 7Refusal 40 27 33 11 110Don't know 35 41 40 21 136Total 210 177 160 79 626Remark: The values range from -5,000 to 650,000. This table includes those women who report in as002d1 to have bank accounts, transaction accounts or savings accounts. Table AS005e: Interest from bank accounts “About how much interest income did you or your husband/wife/partner receive from such accounts in 2003?” Men 50-59 60-69 70-79 80+ Total0-99 80 41 25 8 154100-999 29 36 16 6 871,000-9,999 3 10 5 1 1910,000-99,999 0 1 0 0 1Refusal 20 33 19 1 74Don't know 78 46 41 7 171Total 210 166 106 22 505Remark: The values range from 0 to 10,000. This table includes those men who report in as002d1 to have bank accounts, transaction accounts or savings accounts. Women 50-59 60-69 70-79 80+ Total0-99 90 64 43 27 224100-999 24 24 17 5 701,000-9,999 3 5 2 2 13Refusal 23 18 23 8 72Don't know 70 67 74 36 247Total 210 177 160 79 626Remark: The values range from 0 to 8,000. This table includes those women who report in as002d1 to have bank accounts, transaction accounts or savings accounts.

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Table AS007e: Amount in government bonds “About how much did you or your husband/wife/partner have in government or corporate bonds?” Men 50-59 60-69 70-79 80+ Total 0-9,999 4 3 1 0 8 10,000-99,999 4 9 4 1 18 100,000-999,999 0 3 1 0 4 Refusal 7 7 2 0 16 Don't know 5 1 1 0 7 Total 20 23 9 1 54 Remark: The values range from 0 to 250,000. This table includes those men who report in as002d2 to have government or corporate bonds. Women 50-59 60-69 70-79 80+ Total 0-9,999 7 4 2 0 13 10,000-99,999 3 1 4 2 11 Refusal 2 1 3 0 7 Don't know 5 2 2 1 10 Total 17 9 12 3 41 Remark: The values range from 0 to 50,000. This table includes those women who report in as002d2 to have government or corporate bonds.

Table AS009e: Interest from government bonds “About how much interest income did you or your husband/wife/partner receive from these bonds in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 4 8 4 0 16 1,000-9,999 1 5 2 0 8 10,000-99,999 0 2 0 0 2 Refusal 5 6 2 0 13 Don't know 10 2 1 1 15 Total 20 23 9 1 54 Remark: The values range from 0 to 30,000. This table includes those men who report in as002d2 to have government or corporate bonds. Women 50-59 60-69 70-79 80+ Total 0-999 8 3 3 2 16 1,000-9,999 1 2 0 0 3 Refusal 1 1 2 0 4 Don't know 7 3 7 1 17 Total 17 9 12 3 41 Remark: The values range from 0 to 1,500. This table includes those women who report in as002d2 to have government or corporate bonds. Table AS011e: Amount in stocks “About how much did you or your husband/wife/partner have in stocks or shares (listed or unlisted on stock market) at the end of 2003?” Men 50-59 60-69 70-79 80+ Total 0-9,999 5 1 2 0 8 10,000-99,999 3 8 2 0 12 100,000-999,999 0 2 0 0 2 Refusal 12 3 3 0 18 Don't know 3 2 1 0 5 Total 22 15 8 0 45 Remark: The values range from 0 to 500,000. This table includes those men who report in as002d3 to have stocks or shares. Women 50-59 60-69 70-79 80+ Total 0-9,999 2 4 1 0 7 10,000-99,999 6 2 0 0 8 Refusal 2 1 0 0 3 Don't know 4 3 1 0 8 Total 14 9 2 0 26 Remark: The values range from 96 to 35,000. This table includes those wo men who report in as002d3 to have stocks or shares.

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Table AS015e: Dividend from stocks “About how much dividend income did you or your husband/wife/partner receive from these stocks in 2003?” Men 50-59 60-69 70-79 80+ Total<0 0 0 1 0 10-999 6 5 4 0 161,000-9,999 1 2 0 0 410,000-99,999 0 1 0 0 1Refusal 10 3 2 0 15Don't know 5 3 1 0 9Total 22 15 8 0 45Remark: The values range from –4,360 to 15,000. This table includes those men who report in as002d3 to have stocks or shares. Women 50-59 60-69 70-79 80+ Total0-999 7 5 1 0 131,000-9,999 1 0 0 0 1Refusal 2 0 0 0 2Don't know 4 5 1 0 9Total 14 9 2 0 26Remark: The values range from 0 to 1,400. This table includes those women who report in as002d3 to have stocks or shares. Table AS017e: Amount in mutual funds “About how much did you or your husband/wife/partner have in mutual funds or managed investment accounts at the end of 2003?” Men 50-59 60-69 70-79 80+ Total0-9,999 4 4 3 1 1110,000-99,999 8 2 1 0 11100,000-999,999 0 2 0 0 2Refusal 8 2 0 0 10Don't know 7 0 0 0 7Total 27 10 4 1 42Remark: The values range from 0 to 500,000. This table includes those men who report in as002d4 to have mutual funds or managed investment accounts. Women 50-59 60-69 70-79 80+ Total0-9,999 6 7 0 0 1310,000-99,999 0 2 1 0 3Refusal 4 1 0 0 4Don't know 7 2 0 0 9Total 17 11 1 0 29Remark: The values range from 0 to 70,000. This table includes those women who report in as002d4 to have mutual funds or managed investment accounts. Table AS019: Mutual funds mostly stocks or bonds “Are these mutual funds and managed investment accounts mostly stocks or mostly bonds?” Men 50-59 60-69 70-79 80+ Total0-99 8 3 2 1 14100-999 2 1 1 0 51,000-9,999 1 2 0 0 3Refusal 8 2 1 0 11Don't know 7 1 0 0 8Total 27 10 4 1 42Remark: This table includes those men who report in as002d4 to have mutual funds or managed investment accounts. Women 50-59 60-69 70-79 80+ Total0-99 5 1 0 0 6100-999 1 1 1 0 31,000-9,999 0 2 0 0 2Refusal 4 1 0 0 4Don't know 7 7 0 0 14Total 17 11 1 0 29Remark: This table includes those women who report in as002d4 to have mutual funds or managed investment accounts.

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Table AS058e: Interest or dividend on mutual funds “About how much interest or dividend income did you or your husband/wife/partner earn with mutual funds or managed investment accounts in 2003?” Men 50-59 60-69 70-79 80+ Total 0-99 8 3 2 1 14 100-999 2 1 1 0 5 1,000-9,999 1 2 0 0 3 Refusal 8 2 1 0 11 Don't know 7 1 0 0 8 Total 27 10 4 1 42 Remark: The values range from 0 to 6,000. This table includes those men who report in as002d4 to have mutual funds or managed investment accounts. Women 50-59 60-69 70-79 80+ Total 0-99 5 1 0 0 6 100-999 1 1 1 0 3 1,000-9,999 0 2 0 0 2 Refusal 4 1 0 0 4 Don't know 7 7 0 0 14 Total 17 11 1 0 29 Remark: The values range from 0 to 1,500. This table includes those women who report in as002d4 to have mutual funds or managed investment accounts. Table AS027e: Amount contractual saving “Apart from anything you have already told me, about how much did you or your husband/wife/partner have in contractual saving for housing at the end of 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 13 9 5 1 29 1,000-9,999 76 50 24 4 154 10,000-99,999 10 13 5 1 29 100,000-999,999 1 0 0 0 1 Refusal 16 13 8 0 37 Don't know 15 11 6 0 32 Total 131 95 48 7 281 Remark: The values range from 0 to 110,000. This table includes those men who report in as002d6 to have contractual savings for housing. Women 50-59 60-69 70-79 80+ Total 0-999 20 18 6 3 47 1,000-9,999 74 52 38 14 179 10,000-99,999 7 5 3 0 15 Refusal 8 6 9 1 25 Don't know 15 14 7 6 42 Total 125 95 63 24 307 Remark: The values range from 0 to 28,000. This table includes those women who report in as002d6 to have contractual savings for housing. Table AS029: Life insurance policies term or whole life “Are your life insurance policies term policies, whole life policies, or both of these?” Men 50-59 60-69 70-79 80+ Total Term policies 5 4 1 0 10 Whole life policies 20 6 4 1 30 Both 79 25 8 2 114 Other 1 1 0 0 1 Refusal 4 1 0 0 4 Don't know 2 1 0 0 3 Total 110 37 13 3 163 Remark: This table includes those men who report in as002d7 to have a life insurance.

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Women 50-59 60-69 70-79 80+ TotalTerm policies 8 3 2 1 15Whole life policies 13 8 2 1 24Both 55 33 11 3 103Don't know 4 0 0 0 4Total 80 44 16 5 145Remark: This table includes those women who report in as002d7 to have a life insurance. Table AS030e: Face value life policies “What is the face value of the whole life policies owned by you or your husband/wife/partner?” Men 50-59 60-69 70-79 80+ Total0-9,999 5 3 2 2 1110,000-99,999 47 12 5 1 64100,000-999,999 11 4 0 0 151,000,000-9,999,999 1 0 0 0 1Refusal 13 5 1 0 19Don't know 21 7 5 0 32Total 98 30 12 3 143Remark: The values range from 0 to 2,000,000. This table includes those men who report in as029 to have whole life policies or both types of policies mentioned. Women 50-59 60-69 70-79 80+ Total0-9,999 13 11 3 1 2910,000-99,999 22 13 7 1 43100,000-999,999 7 3 1 0 11Refusal 6 2 0 0 8Don't know 21 12 2 2 37Total 68 41 14 4 128Remark: The values range from 0 to 2,000,000. This table includes those women who report in as029 to have whole life policies or both types of policies mentioned. Table AS032e1: Amount dependents get from whole life policies “About how much will your dependents or other beneficiaries get from your term policies/your whole life policies when you or your husband/wife/partner die?” Men 50-59 60-69 70-79 80+ Total0-9,999 8 4 1 1 1510,000-99,999 35 8 5 0 471,000,000-9,999,999 9 4 0 0 13Refusal 12 6 1 0 18Don't know 20 7 3 1 30Total 83 29 9 2 124Remark: The values range from 0 to 400,000. This table includes those men who report in as029 to have whole life policies or both types of policies mentioned. Women 50-59 60-69 70-79 80+ Total0-9,999 12 11 5 2 3010,000-99,999 21 10 5 1 371,000,000-9,999,999 5 2 1 0 7Refusal 7 2 0 0 9Don't know 17 11 3 1 33Total 63 35 14 4 116Remark: The values range from 0 to 3,000,000. This table includes those women who report in as029 to have whole life policies or both types of policies mentioned.

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Table AS034e1: Amount paid on whole life policies “About how much did you or your husband/wife/partner pay on your term policies/your whole life policies in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 28 8 6 2 44 1,000-9,999 30 10 0 0 40 10,000-99,999 2 1 0 0 3 Refusal 12 5 1 0 18 Don't know 12 5 2 0 19 Total 83 29 9 2 124 Remark: The values range from 0 to 22,000. This table includes those men who report in as029 to have whole life policies or both types of policies mentioned. Women 50-59 60-69 70-79 80+ Total 0-999 22 20 9 4 56 1,000-9,999 22 5 2 0 30 10,000-99,999 1 2 1 0 4 Refusal 5 2 0 0 6 Don't know 13 8 1 0 22 Total 63 36 14 4 117 Remark: The values range from 0 to 15,000. This table includes those women who report in as029 to have whole life policies or both types of policies mentioned. Table AS032e2: Amount dependents get from term policies “About how much will your dependents or other beneficiaries get from your term policies/your whole life policies when you or your husband/wife/partner die?” Men 50-59 60-69 70-79 80+ Total 0-9,999 9 3 3 2 17 10,000-99,999 44 9 4 0 57 100,000-999,999 4 3 0 0 7 1,000,000-9,999,999 1 0 0 0 1 Refusal 13 7 1 0 21 Don't know 26 8 5 1 39 Total 97 30 12 3 142 Remark: The values range from 0 to 2,000,000. This table includes those men who report in as029 to have whole life policies or both types of policies mentioned. Women 50-59 60-69 70-79 80+ Total 0-9,999 18 11 3 1 34 10,000-99,999 18 12 5 1 36 100,000-999,999 4 5 1 0 9 1,000,000-9,999,999 1 0 0 0 1 Refusal 5 2 0 0 6 Don't know 22 12 5 2 42 Total 68 41 14 4 128 Remark: The values range from 0 to 3,000,000. This table includes those women who report in as029 to have whole life policies or both types of policies mentioned. Table AS034e2: Amount paid on life insurance policies “About how much did you or your husband/wife/partner pay on your term policies/your whole life policies in 2003?” Men 50-59 60-69 70-79 80+ Total 0-999 37 9 8 1 55 1,000-9,999 31 9 0 1 41 10,000-99,999 2 2 0 0 4 Refusal 13 5 1 0 19 Don't know 15 6 3 1 25 Total 98 30 12 3 143 Remark: The values range from 0 to 60,000. This table includes those men who report in as029 to have whole life policies or both types of policies mentioned.

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Women 50-59 60-69 70-79 80+ Total0-999 24 21 8 3 571,000-9,999 23 8 2 0 3310,000-99,999 1 2 1 0 4100,000-999,999 1 0 0 0 1Refusal 6 2 0 0 8Don't know 13 8 2 1 25Total 68 41 14 4 128Remark: The values range from 0 to 150,000. This table includes those women who report in as029 to have whole life policies or both types of policies mentioned. Table AS040: How often spend time on managing savings “Please look at card 33. How often do you or your husband/wife/partner spend some time finding out how your financial assets are performing and looking for possible new investment opportunities?” Men 50-59 60-69 70-79 80+ TotalNever 34 30 21 3 89About once every year 33 37 24 9 103Few times per year 62 43 26 3 135About every month 72 56 30 5 163About every week 20 13 11 2 46About every day 5 5 1 0 11Refusal 1 0 1 0 2Don't know 1 1 0 0 2Total 230 184 115 22 551Remark: This table includes those men who report in as002 to have some savings or investments.

Women 50-59 60-69 70-79 80+ TotalNever 50 43 43 22 158About once every year 50 45 57 19 172Few times per year 49 34 30 17 130About every month 65 58 37 20 180About every week 17 11 3 4 36About every day 2 4 1 1 8Refusal 2 1 0 0 3Don't know 2 0 1 1 5Total 238 197 173 84 692Remark: This table includes those women who report in as002 to have some savings or investments.

Table AS041: Own firm company business “Do you or your husband/wife/partner own a firm, company, or business?” Men 50-59 60-69 70-79 80+ TotalYes 22 6 0 0 29No 251 208 139 39 636Total 273 214 139 39 665 Women 50-59 60-69 70-79 80+ TotalYes 16 7 3 1 27No 279 236 235 128 879Total 295 243 238 129 906 Table AS042e: Amount selling firm “If you sold this firm, company or business and then paid off any debts on it, about how much money would be left?” Men 50-59 60-69 70-79 80+ Total0-9,999 5 1 0 0 610,000-99,999 1 0 0 0 1100,000-999,999 3 1 0 0 4Refusal 3 1 0 0 4Don't know 8 2 0 0 10Total 20 6 0 0 26Remark: The values range from 0 to 800,000. This table includes those men who report in as041 to have a firm, company or business.

332 Women 50-59 60-69 70-79 80+ Total 0-9,999 4 2 1 1 9 100,000-999,999 3 2 0 0 6 Refusal 3 0 0 0 3 Don't know 5 2 2 0 9 Total 16 7 3 1 27 Remark: The values range from 0 to 600,000. This table includes those women who report in as041 to have a firm, company or business. Table AS044: Percentage share firm owned “What percentage or share of this firm, company or business is owned by you or your husband/wife/partner?” Men 50-59 60-69 70-79 80+ Total 20-29 2 0 0 0 2 30-39 1 0 0 0 1 50-59 1 1 0 0 2 100 13 4 0 0 16 Refusal 2 1 0 0 3 Don't know 1 1 0 0 2 Total 20 6 0 0 26 Remark: The values (percentages) range from 20 to 100. This table includes those men who report in as041 to have a firm, company or business. Women 50-59 60-69 70-79 80+ Total 0-9 0 0 1 0 1 20-29 1 0 0 1 2 40-49 0 0 1 0 1 50-59 1 0 0 0 1 100 12 7 1 0 20 Don't know 1 0 0 0 1 Total 16 7 3 1 27 Remark: The values (percentages) range from 0 to 100. This table includes those women who report in as041 to have a firm, company or business. Table AS049: Number of cars “How many cars do you or your husband/wife/partner own. Please exclude company cars.” Men 50-59 60-69 70-79 80+ Total 0-999 22 17 13 1 53 1,000-9,999 108 87 39 7 241 10,000-99,999 80 67 27 6 180 Refusal 4 7 5 0 16 Don't know 18 13 9 1 41 Total 232 191 94 15 531 Women 50-59 60-69 70-79 80+ Total 0-999 26 16 16 1 59 1,000-9,999 103 51 21 3 178 10,000-99,999 45 37 9 1 92 Refusal 8 3 1 2 14 Don't know 37 22 9 2 71 Total 219 129 57 10 414

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Table AS051e: Amount selling cars “If you sold this/these car/cars and paid off any debts that you may have on it/them, about how much would be left?” Men 50-59 60-69 70-79 80+ Total0-999 22 17 13 1 531,000-9,999 108 87 39 7 24110,000-99,999 80 67 27 6 180Refusal 4 7 5 0 16Don't know 18 13 9 1 41Total 232 191 94 15 531Remark: The values range from 0 to 70,000. This table includes those men who report in as049 to have at least one car. Women 50-59 60-69 70-79 80+ Total0-999 26 16 16 1 591,000-9,999 103 51 21 3 17810,000-99,999 45 37 9 1 92Refusal 8 3 1 2 14Don't know 37 22 9 2 71Total 219 129 57 10 414Remark: The values range from 0 to 70,000. This table includes those women who report in as049 to have at least one car. Table AS054d1: Owe money, cars and other vehicules “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?” (Debts on cars and other vehicles (vans/motorcycles/boats/etc.)) Men 50-59 60-69 70-79 80+ TotalNot selected 326 252 164 52 795Selected 11 2 0 0 13Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 368 305 279 136 1,088Selected 10 1 2 0 14Total 378 306 281 136 1,102 Table AS054d2: Owe money, overdue bills “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?” (Overdue bills (phone, electricity, heating)) Men 50-59 60-69 70-79 80+ TotalNot selected 336 253 164 52 806Selected 1 1 0 0 2Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 304 281 135 1,095Selected 5 2 0 1 7Total 378 306 281 136 1,102 Table AS054d3: Owe money, overdue credit cards/store card bills “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?” (Overdue credit cards/store card bills) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 305 281 136 1,099Selected 2 1 0 0 3Total 378 306 281 136 1,102

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Table AS054d4: Owe money, loans “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?” (Loans (from bank, building society or other finacnial institution)) Men 50-59 60-69 70-79 80+ Total Not selected 273 240 162 51 726 Selected 64 14 2 1 82 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 338 292 278 136 1,044 Selected 41 14 3 0 58 Total 378 306 281 136 1,102 Table AS054d5: Owe money, relatives or friends “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?” (Debts to relatives or friends) Men 50-59 60-69 70-79 80+ Total Not selected 330 254 163 52 799 Selected 8 0 1 0 9 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 305 280 136 1,097 Selected 3 1 1 0 5 Total 378 306 281 136 1,102 Table AS054d6: Owe money, student loans “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?” (Student loans) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 164 52 807 Selected 0 1 0 0 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table AS054d7: Owe money, other “Looking at card 34, which of these types of debts do you or your husband/wife/partner currently have, if any?”(Other) Men 50-59 60-69 70-79 80+ Total Not selected 331 251 164 51 797 Selected 6 3 0 1 11 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 371 303 277 136 1,087 Selected 8 3 5 0 15 Total 378 306 281 136 1,102

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Table AS055e: Amount owing money in total “How much do you and your husband/wife/partner owe in total?” Men 50-59 60-69 70-79 80+ Total0-999 6 2 0 0 81,000-9,999 14 5 0 0 1910,000-99,999 30 5 2 2 39100,000-999,999 3 1 0 0 4Refusal 10 2 1 0 13Don't know 11 2 0 0 13Total 74 17 3 2 96Remark: The values range from 0 to 640,000. This table includes those men who report in as054d01 to as054d6 to have debts. Women 50-59 60-69 70-79 80+ Total0-999 3 2 4 1 111,000-9,999 16 9 1 1 2710,000-99,999 11 5 3 0 19100,000-999,999 3 1 0 0 4Refusal 9 1 1 0 11Don't know 13 1 0 0 14Total 56 18 10 2 86Remark: The values range from 0 to 250,000. This table includes those women who report in as054d01 to as054d6 to have debts.

Table AS057: Who answered the questions in as Interviewer: Who answered the questions in this section? Men 50-59 60-69 70-79 80+ TotalRespondent only 269 208 127 37 641Respondent and proxy 4 6 11 2 23Proxy only 0 1 1 0 2Total 273 214 139 39 665 Women 50-59 60-69 70-79 80+ TotalRespondent only 291 242 234 111 877Respondent and proxy 2 2 2 11 17Proxy only 2 0 2 8 12Total 295 243 238 129 906

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3.18 Activities (AC) The questions in the activities module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table AC002d1: Activities last month, voluntary or charity work “Please look at card 35. Have you done any of these activities in the last month?” (Voluntary or charity work) Men 50-59 60-69 70-79 80+ Total Not selected 295 221 158 52 727 Selected 42 33 6 0 81 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 342 273 269 132 1,015 Selected 37 33 13 4 87 Total 378 306 281 136 1,102 Table AC002d2: Activities last month, cared for a sick or disables adult “Please look at card 35. Have you done any of these activities in the last month?”(Cared for a sick or disabled adult) Men 50-59 60-69 70-79 80+ Total Not selected 316 240 158 48 762 Selected 21 14 6 4 46 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 333 280 270 134 1,018 Selected 45 26 11 2 84 Total 378 306 281 136 1,102 Table AC002d3: Activities last month, provided help to family, friends or neighbours “Please look at card 35. Have you done any of these activities in the last month?” (Provided help to family, friends or neighbours)” Men 50-59 60-69 70-79 80+ Total Not selected 232 199 143 47 620 Selected 106 55 21 6 188 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 264 236 250 133 884 Selected 114 70 31 3 218 Total 378 306 281 136 1,102 Table AC002d4: Activities last month, attended an educational or training course “Please look at card 35. Have you done any of these activities in the last month?” (Attended an educational or training course) Men 50-59 60-69 70-79 80+ Total Not selected 314 248 162 52 777 Selected 24 5 2 0 31 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 346 300 275 135 1,057 Selected 32 6 6 1 45 Total 378 306 281 136 1,102

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Table AC002d5: Activities last month, gone to a sport, social or other kind of club “Please look at card 35. Have you done any of these activities in the last month?” (Gone to a sport, social or other kind of club) Men 50-59 60-69 70-79 80+ TotalNot selected 256 185 147 50 638Selected 81 69 17 2 170Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 334 268 273 133 1,008Selected 45 38 8 3 94Total 378 306 281 136 1,102 Table AC002d6: Activities last month, taken part in a religious organization “Please look at card 35. Have you done any of these activities in the last month?” (Taken part in a religious organization (church, synagogue, mosque etc.)) Men 50-59 60-69 70-79 80+ TotalNot selected 268 200 134 47 649Selected 70 54 30 6 159Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 276 219 214 105 814Selected 102 87 67 32 288Total 378 306 281 136 1,102 Table AC002d7: Activities last month, taken part in political or community organization “Please look at card 35. Have you done any of these activities in the last month?” (Taken part in a political or community organization) Men 50-59 60-69 70-79 80+ TotalNot selected 297 228 159 50 735Selected 40 26 5 2 73Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 366 295 277 136 1,073Selected 13 11 5 0 29Total 378 306 281 136 1,102 Table AC003_1: How often done voluntary or charity work “How often in the last four weeks did you do voluntary or charity work? Men 50-59 60-69 70-79 80+ TotalAlmost daily 1 1 2 0 4Almost every week 17 17 3 0 37Less often 24 16 1 0 41Total 43 33 6 0 82Remark: This table contains those men who report in question ac002d1 that they have done voluntary or charity work in the last month. Women 50-59 60-69 70-79 80+ TotalAlmost daily 0 1 0 0 1Almost every week 14 13 7 1 36Less often 24 20 6 3 53Total 38 34 13 5 90Remark: This table contains those women who report in question ac002d1 that they have done voluntary or charity work in the last month.

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Table AC004d11: Voluntary or charity work, to meet other people “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (To meet other people) Men 50-59 60-69 70-79 80+ Total Not selected 333 249 162 52 796 Selected 5 5 2 0 12 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 372 304 278 135 1,089 Selected 7 2 3 1 13 Total 378 306 281 136 1,102 Table AC004d12: Voluntary or charity work, to contribute something useful “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (To contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 309 234 161 52 757 Selected 28 20 3 0 51 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 357 288 274 135 1,054 Selected 22 18 7 1 48 Total 378 306 281 136 1,102 Table AC004d13: Voluntary or charity work, for personal achievement “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (For personal achievement) Men 50-59 60-69 70-79 80+ Total Not selected 333 246 163 52 794 Selected 5 8 1 0 14 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 368 299 277 132 1,076 Selected 10 7 5 4 26 Total 378 306 281 136 1,102 Table AC004d14: Voluntary or charity work, because I am needed “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (Because I am needed) Men 50-59 60-69 70-79 80+ Total Not selected 319 241 160 52 773 Selected 19 13 4 0 35 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 363 289 277 136 1,065 Selected 16 17 5 0 37 Total 378 306 281 136 1,102 Table AC004d15: Voluntary or charity work, to earn money “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (To earn money) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 281 136 1,101Selected 1 0 0 0 1Total 378 306 281 136 1,102 Table AC004d16: Voluntary or charity work, because I enjoy it “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 312 236 158 52 759Selected 25 18 6 0 49Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 358 283 270 132 1,042Selected 21 23 11 4 60Total 378 306 281 136 1,102 Table AC004d17: Voluntary or charity work, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ TotalNot selected 328 247 160 52 787Selected 10 7 4 0 21Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 299 280 135 1,085Selected 8 7 1 1 17Total 378 306 281 136 1,102 Table AC004d18: Voluntary or charity work, because I feel obligated to do it “Please look at card 36. For which reasons, if any, did you do voluntary or charity work?” (Because I feel obligated to do it) Men 50-59 60-69 70-79 80+ TotalNot selected 325 243 160 52 781Selected 13 11 4 0 27Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 372 300 279 136 1,087Selected 7 6 2 0 15Total 378 306 281 136 1,102 Table AC003_2: How often cared for a sick or disabled adult “How often in the last four weeks have you cared for a sick or disabled adult?” Men 50-59 60-69 70-79 80+ TotalAlmost daily 9 6 4 4 23Almost every week 5 4 2 0 11Less often 7 4 0 0 11Total 21 14 6 4 45Remark: This table contains those men who report in question ac002d2 that they cared for sick or disabled adults in the last month. Women 50-59 60-69 70-79 80+ TotalAlmost daily 23 12 9 1 45Almost every week 12 8 1 0 21Less often 9 6 1 1 17Total 44 25 11 2 83Remark: This table contains those women who report in question ac002d2 that they cared for sick or disabled adults in the last month.

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Table AC004d21: Cared for a sick or disabled, to meet other people “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (To meet other people) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table AC004d22: Cared for a sick or disabled, to contribute something useful “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (To contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 335 253 161 52 802 Selected 3 1 3 0 6 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 369 299 281 135 1,084 Selected 9 7 0 1 18 Total 378 306 281 136 1,102 Table AC004d23: Cared for a sick or disabled, for personal achievement “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (For personal achievement) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 51 807 Selected 0 0 0 1 1 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 370 302 281 136 1,090 Selected 8 4 0 0 12 Total 378 306 281 136 1,102 Table AC004d24: Cared for a sick or disabled, because I am needed “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (Because I am needed) Men 50-59 60-69 70-79 80+ Total Not selected 326 243 160 48 777 Selected 11 11 4 4 31 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 355 289 273 136 1,054 Selected 23 17 8 0 48 Total 378 306 281 136 1,102 Table AC004d25: Cared for a sick or disabled, to earn money “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (To earn money) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 376 305 281 136 1,099Selected 2 1 0 0 3Total 378 306 281 136 1,102 Table AC004d26: Cared for a sick or disabled, because I enjoy it “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 335 252 163 52 802Selected 3 2 1 0 6Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 365 297 275 136 1,074Selected 14 9 6 0 28Total 378 306 281 136 1,102 Table AC004d27: Cared for a sick or disabled, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?”(To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 303 281 136 1,098Selected 1 3 0 0 4Total 378 306 281 136 1,102 Table AC004d28: Cared for a sick or disabled, because I feel obligated to do it “Please look at card 36. For which reasons, if any, have you cared for a sick or disabled adult?” (Because I feel obligated to do it) Men 50-59 60-69 70-79 80+ TotalNot selected 324 248 159 49 780Selected 14 5 5 3 28Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 354 293 279 135 1,061Selected 24 13 2 1 41Total 378 306 281 136 1,102 Table AC003_3: How often provided help to family, friends or neighbours “How often in the last four weeks have you provided help to family, friends or neighbours?” Men 50-59 60-69 70-79 80+ TotalAlmost daily 12 5 1 1 20Almost every week 49 24 12 1 85Less often 42 25 8 3 77Total 103 54 20 5 182Remark: This table contains those men who report in question ac002d3 that they provided help to family, friends or neighbours in the last month.

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Women 50-59 60-69 70-79 80+ Total Almost daily 31 18 8 1 58 Almost every week 41 33 14 1 89 Less often 43 20 9 1 73 Total 115 70 31 3 220 Remark: This table contains those women who report in question ac002d3 that they provided help to family, friends or neighbours in the last month. Table AC004d31: Help to family, friends or neighbours, to meet other people “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (To meet other people) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table AC004d32: Help to family, friends or neighbours, to contribute something useful “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (To contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 307 240 153 51 751 Selected 31 14 11 1 57 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 353 289 275 136 1,054 Selected 26 17 6 0 48 Total 378 306 281 136 1,102 Table AC004d33: Help to family, friends or neighbours, for personal achievement “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (For personal achievement) Men 50-59 60-69 70-79 80+ Total Not selected 328 246 158 51 783 Selected 10 8 6 1 25 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 354 291 279 134 1,058 Selected 25 15 2 2 44 Total 378 306 281 136 1,102 Table AC004d34: Help to family, friends or neighbours, because I am needed “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (Because I am needed) Men 50-59 60-69 70-79 80+ Total Not selected 268 215 152 51 686 Selected 70 39 12 1 122 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 304 258 267 135 964 Selected 75 48 14 1 138 Total 378 306 281 136 1,102

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Table AC004d35: Help to family, friends or neighbours, to earn money “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (To earn money) Men 50-59 60-69 70-79 80+ TotalNot selected 338 253 164 52 807Selected 0 1 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table AC004d36: Help to family, friends or neighbours, because I enjoy it “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 292 227 155 50 724Selected 46 27 9 2 84Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 325 264 265 134 988Selected 54 42 16 2 114Total 378 306 281 136 1,102 Table AC004d37: Help to family, friends or neighbours, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ TotalNot selected 324 245 159 51 779Selected 14 9 5 1 29Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 370 303 279 136 1,088Selected 9 3 2 0 14Total 378 306 281 136 1,102 Table AC004d38: Help to family, friends or neighbours, because I feel obligated to do it “Please look at card 36. For which reasons, if any, have you provided help to family, friends or neighbours?” (Because I feel obligated to do it) Men 50-59 60-69 70-79 80+ TotalNot selected 301 236 159 51 748Selected 36 17 5 1 60Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 340 290 277 135 1,042Selected 38 16 5 1 60Total 378 306 281 136 1,102

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Table AC003_4: How often attended an educational or training course “How often in the last four weeks have you attended an educational or training course?” Men 50-59 60-69 70-79 80+ Total Almost daily 0 1 0 0 1 Almost every week 3 2 2 0 7 Less often 18 2 0 0 20 Total 21 5 2 0 28 Remark: This table contains those men who report in question ac002d4 that they attended an educational or training course in the last month. Women 50-59 60-69 70-79 80+ Total Almost daily 1 0 0 0 1 Almost every week 9 4 4 0 17 Less often 20 1 1 1 24 Total 30 6 5 1 42 Remark: This table contains those women who report in question ac002d4 that they attended an educational or training course in the last month. Table AC004d41: Educational or training course, to meet other people “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (To meet other people) Men 50-59 60-69 70-79 80+ Total Not selected 335 254 164 52 805 Selected 3 0 0 0 3 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 375 306 281 136 1,099 Selected 3 0 0 0 3 Total 378 306 281 136 1,102 Table AC004d42: Educational or training course, to contribute something useful “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (To contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 334 254 163 52 803 Selected 4 0 1 0 5 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 305 281 136 1,099 Selected 2 1 0 0 3 Total 378 306 281 136 1,102 Table AC004d43: Educational or training course, for personal achievement “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (For personal achievement) Men 50-59 60-69 70-79 80+ Total Not selected 330 253 162 52 798 Selected 8 1 2 0 10 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 370 304 280 136 1,091 Selected 8 2 1 0 11 Total 378 306 281 136 1,102

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Table AC004d44: Educational or training course, because I am needed “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (Because I am needed) Men 50-59 60-69 70-79 80+ TotalNot selected 336 254 164 52 807Selected 1 0 0 0 1Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 305 281 136 1,101Selected 0 1 0 0 1Total 378 306 281 136 1,102 Table AC004d45: Educational or training course, to earn money “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (To earn money) Men 50-59 60-69 70-79 80+ TotalNot selected 334 254 164 52 804Selected 4 0 0 0 4Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table AC004d46: Educational or training course, because I enjoy it “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 334 250 163 52 799Selected 4 4 1 0 9Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 365 303 277 135 1,079Selected 14 3 5 1 23Total 378 306 281 136 1,102 Table AC004d47: Educational or training course, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ TotalNot selected 329 252 163 52 796Selected 9 2 1 0 12Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 363 304 280 135 1,082Selected 15 2 1 1 20Total 378 306 281 136 1,102 Table AC004d48: Educational or training course, because I feel obligated to do it “Please look at card 36. For which reasons, if any, have you attended an educational or training course?” (Because I feel obligated to do it) Men 50-59 60-69 70-79 80+ TotalNot selected 331 254 164 52 802Selected 6 0 0 0 6Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ Total Not selected 375 306 281 136 1,099 Selected 3 0 0 0 3 Total 378 306 281 136 1,102 Table AC003_5: How often gone to a sport, social or other kind of club “How often in the last four weeks did you go to a sport, social or other kind of club?” Men 50-59 60-69 70-79 80+ Total Almost daily 3 11 3 0 17 Almost every week 57 36 13 0 106 Less often 23 23 1 2 49 Total 83 70 17 2 172 Remark: This table contains those men who report in question ac002d5 that they went to a sport, social or other kind of club in the last month. Women 50-59 60-69 70-79 80+ Total Almost daily 2 2 0 0 5 Almost every week 27 30 7 3 68 Less often 17 8 1 0 26 Total 47 40 8 3 99 Remark: This table contains those women who report in question ac002d5 that they went to a sport, social or other kind of club in the last month.

Table AC004d51: Sport, social or other club, to meet other people “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (To meet other people) Men 50-59 60-69 70-79 80+ Total Not selected 330 242 163 52 788 Selected 8 12 1 0 20 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 367 302 278 136 1,083 Selected 12 4 3 0 19 Total 378 306 281 136 1,102 Table AC004d52: Sport, social or other club, to contribute something useful “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (To contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 321 248 162 52 784 Selected 16 5 2 0 24 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 304 281 136 1,099 Selected 1 2 0 0 3 Total 378 306 281 136 1,102 Table AC004d53: Sport, social or other club, for personal achievement “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (For personal achievement) Men 50-59 60-69 70-79 80+ Total Not selected 316 239 162 52 770 Selected 21 15 2 0 38 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 366 296 279 136 1,077Selected 12 10 2 0 25Total 378 306 281 136 1,102 Table AC004d54: Sport, social or other club, because I am needed “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (Because I am needed) Men 50-59 60-69 70-79 80+ TotalNot selected 324 243 162 52 781Selected 14 11 2 0 27Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 302 281 136 1,096Selected 2 4 0 0 6Total 378 306 281 136 1,102 Table AC005d55: Sport, social or other club, to earn money “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (To earn money) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table AC004d56: Sport, social or other club, because I enjoy it “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 272 201 151 50 675Selected 65 53 13 2 133Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 350 283 274 133 1,040Selected 28 23 7 3 62Total 378 306 281 136 1,102 Table AC004d57: Sport, social or other club, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ TotalNot selected 309 236 161 52 758Selected 29 18 3 0 50Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 362 295 280 135 1,073Selected 16 11 1 1 29Total 378 306 281 136 1,102

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Table AC004d58: Sport, social or other club, because I feel obligated to do it “Please look at card 36. For which reasons, if any, did you go to a sport, social or other kind of club?” (Because I feel obligate to do it) Men 50-59 60-69 70-79 80+ Total Not selected 330 248 160 52 791 Selected 8 5 4 0 17 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 304 281 136 1,100 Selected 0 2 0 0 2 Total 378 306 281 136 1,102 Table AC003_6: How often taken part in a religious organization “How often in the last four weeks have you taken part in a religious organization?” Men 50-59 60-69 70-79 80+ Total Almost daily 1 0 3 0 4 Almost every week 44 35 17 4 100 Less often 25 19 10 1 55 Total 70 54 30 6 159 Remark: This table contains those men who report in question ac002d6 that they took part in a religious oganization in the last month. Women 50-59 60-69 70-79 80+ Total Almost daily 4 6 2 1 13 Almost every week 49 59 49 16 174 Less often 50 22 16 14 102 Total 102 87 68 32 289 Remark: This table contains those men who report in question ac002d6 that they took part in a religious oganization in the last month. Table AC004d61: Religious organization, to meet other people “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (To meet other people) Men 50-59 60-69 70-79 80+ Total Not selected 334 251 162 52 799 Selected 4 3 2 0 9 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 369 304 275 134 1,083 Selected 9 2 6 2 19 Total 378 306 281 136 1,102 Table AC004d62: Religious organization, to contribute something useful “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (To contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 330 248 160 51 789 Selected 8 6 4 1 19 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 368 298 269 134 1,068 Selected 10 8 13 2 34 Total 378 306 281 136 1,102

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Table AC004d63: Religious organization, for personal achievement “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (For personal achievement) Men 50-59 60-69 70-79 80+ TotalNot selected 304 237 156 52 750Selected 34 17 8 0 58Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 343 273 257 124 998Selected 36 33 24 12 104Total 378 306 281 136 1,102 Table AC004d64: Religious organization, because I am needed “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (Because I am needed) Men 50-59 60-69 70-79 80+ TotalNot selected 329 251 160 52 792Selected 9 3 4 0 16Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 368 297 274 135 1,075Selected 10 9 7 1 27Total 378 306 281 136 1,102 Table AC004d65: Religious organization, to earn money “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (To earn money) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table AC004d66: Religious organization, because I enjoy it “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 310 232 155 49 746Selected 28 22 9 3 62Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 324 260 246 118 947Selected 55 46 35 19 155Total 378 306 281 136 1,102 Table AC004d67: Religious organization, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ TotalNot selected 331 252 163 52 799Selected 6 2 1 0 9Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ Total Not selected 374 301 279 133 1,087 Selected 5 5 2 3 15 Total 378 306 281 136 1,102 Table AC004d68: Religious organization, because I feel obligated to do it “Please look at card 36. For which reasons, if any, have you taken part in a religious organization?” (Because I feel obligated to do it) Men 50-59 60-69 70-79 80+ Total Not selected 315 239 154 51 759 Selected 23 15 10 1 49 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 349 288 257 129 1,023 Selected 29 18 24 8 79 Total 378 306 281 136 1,102 Table AC003_7: How often taken part in a political or community organization “How often in the last four weeks have you taken part in a political or community organization?” Men 50-59 60-69 70-79 80+ Total Almost daily 2 1 0 0 3 Almost every week 18 11 2 0 31 Less often 18 14 3 2 38 Total 39 25 5 2 72 Remark: This table contains those men who report in question ac002d7 that they took part in a political or community organization in the last month. Women 50-59 60-69 70-79 80+ Total Almost every week 5 4 4 0 12 Less often 8 8 1 0 18 Total 13 12 5 0 30 Remark: This table contains those women who report in question ac002d7 that they took part in a political or community organization in the last month.

Table AC004d71: Political or community organization, to meet other people “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (To meet other peole) Men 50-59 60-69 70-79 80+ Total Not selected 333 252 164 52 801 Selected 5 2 0 0 7 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 304 279 136 1,097 Selected 1 2 2 0 5 Total 378 306 281 136 1,102 Table AC004d72: Political or community organization, to contribute something useful “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (Contribute something useful) Men 50-59 60-69 70-79 80+ Total Not selected 320 240 163 50 773 Selected 18 14 1 2 35 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 374 302 279 136 1,091Selected 5 4 2 0 11Total 378 306 281 136 1,102 Table AC004d73: Political or community organization, for personal achievement “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (For personal achievement) Men 50-59 60-69 70-79 80+ TotalNot selected 329 248 162 52 791Selected 9 6 2 0 17Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 376 304 278 136 1,094Selected 2 2 3 0 8Total 378 306 281 136 1,102 Table AC004d74: Political or community organization, because I am needed “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (Because I am needed) Men 50-59 60-69 70-79 80+ TotalNot selected 323 247 161 51 782Selected 15 7 3 1 26Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 375 301 279 136 1,091Selected 3 5 2 0 11Total 378 306 281 136 1,102 Table AC004d75: Political or community organization, to earn money “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (To earn money) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 306 281 136 1,102Total 378 306 281 136 1,102 Table AC004d76: Political or community organization, because I enjoy it “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (Because I enjoy it) Men 50-59 60-69 70-79 80+ TotalNot selected 320 246 163 50 779Selected 18 8 1 2 29Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 371 300 278 136 1,085Selected 7 6 3 0 17Total 378 306 281 136 1,102

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Table AC004d77: Political or community organization, to use my skills or to keep fit “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (To use my skills or to keep fit) Men 50-59 60-69 70-79 80+ Total Not selected 328 248 162 52 790 Selected 10 6 2 0 18 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 376 305 281 136 1,099 Selected 2 1 0 0 3 Total 378 306 281 136 1,102 Table AC004d78: Political or community organization, because I feel obligated to do it “Please look at card 36. For which reasons, if any, have you taken part in a political or community-related organization?” (Because I feel obligated to do it) Men 50-59 60-69 70-79 80+ Total Not selected 319 245 162 50 776 Selected 19 9 2 2 32 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 373 302 281 136 1,092 Selected 6 4 0 0 10 Total 378 306 281 136 1,102 Table AC006_1: Satisfied with achievement: Voluntary or charity work “Considering all the efforts that I have invested into my voluntary or charity work, I am fully satisfied with what I have achieved so far.” Men 50-59 60-69 70-79 80+ Total Strongly agree 23 21 5 0 49 Agree 17 10 1 0 29 Disagree 3 2 0 0 4 Total 43 33 6 0 82 Remark: This table contains those men who report in question ac002d1 that they have done voluntary or charity work in the last month. Women 50-59 60-69 70-79 80+ Total Strongly agree 25 16 7 2 50 Agree 11 17 5 2 35 Disagree 2 2 1 0 5 Total 38 34 13 5 90 Remark: This table contains those women who report in question ac002d1 that they have done voluntary or charity work in the last month. Table AC007_1: Adequate appreciation: Volutary or charity work “Considering all the efforts that I have invested into my voluntary or charity work, I always received adequate appreciation from others.” Men 50-59 60-69 70-79 80+ Total Strongly agree 20 17 3 0 41 Agree 15 10 1 0 27 Disagree 7 5 2 0 14 Strongly disagree 0 1 0 0 1 Total 43 33 6 0 82 Remark: This table contains those men who report in question ac002d1 that they have done voluntary or charity work in the last month.

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Women 50-59 60-69 70-79 80+ TotalStrongly agree 23 10 5 2 40Agree 12 19 7 1 39Disagree 2 4 1 0 8Strongly disagree 1 1 0 1 3Total 38 34 13 5 90Remark: This table contains those women who report in question ac002d1 that they have done voluntary or charity work in the last month. Table AC006_2: Satisfied with achievement: cared for a sick or disabled adult “Considering all the efforts that I have invested into my care for a sick or disabled adult, I am fully satisfied with what I have achieved so far.” Men 50-59 60-69 70-79 80+ TotalStrongly agree 10 7 5 3 25Agree 11 6 1 1 19Disagree 0 1 0 0 1Total 21 14 6 4 45Remark: This table contains those men who report in question ac002d2 that they cared for sick or disabled adults in the last month. Women 50-59 60-69 70-79 80+ TotalStrongly agree 15 13 7 1 36Agree 28 8 5 1 41Disagree 1 3 0 0 5Strongly disagree 1 1 0 0 2Total 44 25 11 2 83Remark: This table contains those women who report in question ac002d2 that they cared for sick or disabled adults in the last month. Table AC007_2: Adequate appreciation: cared for a sick or disabled adult “Considering all the efforts that I have invested into my care for a sick or disabled adult, I always received adequate appreciation from others.” Men 50-59 60-69 70-79 80+ TotalStrongly agree 10 6 5 2 23Agree 9 4 0 0 12Disagree 1 4 1 2 8Strongly disagree 1 0 0 0 1Total 21 14 6 4 45Remark: This table contains those men who report in question ac002d2 that they cared for sick or disabled adults in the last month. Women 50-59 60-69 70-79 80+ TotalStrongly agree 17 9 6 2 33Agree 17 11 6 0 34Disagree 6 3 0 0 9Strongly disagree 3 2 0 0 6Don't know 1 0 0 0 1Total 44 25 11 2 83Remark: This table contains those women who report in question ac002d2 that they cared for sick or disabled adults in the last month.

Table AC006_3: Satisfied with achievement: provided help to family, friends or neighbours “Considering all the efforts that I have invested into my help to family, friends or neighbours, I am fully satisfied with what I have achieved so far.” Men 50-59 60-69 70-79 80+ TotalStrongly agree 46 29 11 4 90Agree 48 25 9 1 83Disagree 9 0 1 0 9Total 103 54 20 5 182Remark: This table contains those men who report in question ac002d3 that they provided help to family, friends or neighbours in the last month.

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Women 50-59 60-69 70-79 80+ Total Strongly agree 54 35 20 2 111 Agree 56 30 12 1 98 Disagree 5 4 0 0 9 Strongly disagree 0 2 0 0 2 Total 115 70 31 3 220 Remark: This table contains those women who report in question ac002d3 that they provided help to family, friends or neighbours in the last month. Table AC007_3: Adequate appreciation: provided help to family, friends or neighbours “Considering all the efforts that I have invested into my help to family, friends or neighbours, I always received adequate appreciation from others?” Men 50-59 60-69 70-79 80+ Total Strongly agree 43 22 11 1 77 Agree 47 29 9 4 89 Disagree 12 3 1 0 16 Total 103 54 20 5 182 Remark: This table contains those men who report in question ac002d3 that they provided help to family, friends or neighbours in the last month. Women 50-59 60-69 70-79 80+ Total Strongly agree 43 28 15 2 88 Agree 54 33 15 1 103 Disagree 16 6 0 0 22 Strongly disagree 2 3 1 0 7 Total 115 70 31 3 220 Remark: This table contains those women who report in question ac002d3 that they provided help to family, friends or neighbours in the last month.

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3.19 Expectations (EX) The questions in the expectatios module are asked to all eligibles persons in a household. For the definition of “eligible” see our introduction. Table EX001: Introduction and example: sunny weather “Finally, I have some questins about how likely you think various events might be. When I ask a question I’d like for you to give me a number from 0 to 100. Let’s try an example together and start with the weather. Looking at card 37, what do you think the chances are that it will be sunny tomorrow? For example ‘90’ would mean a 90 per cent chance of sunny weather. You can say any number from 0 to 100.” Men 50-59 60-69 70-79 80+ Total0-9 10 9 6 0 2510-19 11 6 3 0 2120-29 16 9 6 0 3130-39 24 13 8 4 5040-49 15 12 8 3 3850-59 69 55 43 12 17960-69 19 22 14 3 5870-79 35 24 15 8 8180-89 46 37 21 6 11090-99 49 30 20 8 107100 43 32 18 6 99Refusal 0 1 0 0 1Don't know 0 2 1 1 4Total 336 253 162 51 803Remark: The values (percentages) range from 0 to 100. Women 50-59 60-69 70-79 80+ Total0-9 14 16 9 8 4710-19 14 10 5 7 3520-29 12 12 15 5 4430-39 17 14 17 4 5240-49 11 17 9 9 4650-59 79 76 61 33 24860-69 28 21 15 13 7670-79 49 33 32 11 12580-89 52 36 49 15 15290-99 53 35 27 11 127100 47 36 33 13 129Don't know 1 0 5 8 13Total 376 305 277 136 1,094Remark: The values (percentages) range from 0 to 100.

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Table EX002: Chance of receiving inheritance “Please look at card 37. Thinking about the next ten years, what are the chances that you will receive any inheritance, including property and other valuables?” Men 50-59 60-69 70-79 80+ Total 0-9 225 206 151 46 628 10-19 32 9 5 0 47 20-29 11 9 1 3 24 30-39 5 3 0 0 8 40-49 4 2 1 1 8 50-59 24 12 2 0 38 60-69 5 3 1 0 9 70-79 8 2 0 0 9 80-89 4 0 0 0 4 90-99 8 0 0 0 8 100 9 4 0 0 13 Refusal 0 1 0 0 1 Don't know 3 2 1 1 7 Total 336 253 162 51 803 Remark: The values (percentages) range from 0 to 100. Women 50-59 60-69 70-79 80+ Total 0-9 261 250 249 123 883 10-19 20 14 7 1 41 20-29 12 9 5 1 27 30-39 9 4 2 2 18 40-49 14 4 0 0 17 50-59 27 16 6 1 50 60-69 6 1 2 1 10 70-79 5 2 0 0 6 80-89 3 2 1 0 6 90-99 8 0 0 0 8 100 9 4 1 1 15 Refusal 0 1 0 0 1 Don't know 1 1 3 5 11 Total 376 305 277 136 1,094 Remark: The values (percentages) range from 0 to 100. Table EX003: Chance inheritance more than 50,000 euro “Please look at card 37. Within the next years, what are the chances that you will receive an inheritance worth more than 50,000 euro?” Men 50-59 60-69 70-79 80+ Total 0-9 57 22 6 2 87 10-19 11 8 1 0 20 20-29 6 3 0 1 10 30-39 5 1 0 0 5 40-49 0 1 1 0 2 50-59 16 6 1 1 24 60-69 2 1 1 0 4 70-79 4 1 0 0 4 80-89 5 1 0 0 5 90-99 0 0 1 0 1 100 5 1 0 0 5 Don't know 1 0 0 0 1 Total 111 44 10 4 170 Remark: The values (percentages) range from 0 to 100. This table includes those men who report in ex002 to have a chance to receive an inheritance.

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Women 50-59 60-69 70-79 80+ Total0-9 51 25 15 2 9210-19 10 5 5 1 2120-29 5 6 0 1 1230-39 9 3 1 0 1340-49 7 2 2 1 1350-59 14 8 2 1 2560-69 6 2 0 0 770-79 2 2 1 0 580-89 3 1 1 0 590-99 3 1 0 0 4100 5 4 0 1 9Don't know 5 0 0 0 5Total 120 57 27 8 212Remark: The values (percentages) range from 0 to 100. This table includes those women who report in ex002 to have a chance to receive an inheritance. Table EX004: Chance of leaving inheritance more than 50,000 euro “Please look at card 37. Including property and other values, What are the chances that you or your husband/wife/partner will leave an inheritance totalling 50,000 euro or more?” Men 50-59 60-69 70-79 80+ Total0-9 133 79 70 24 30610-19 9 5 2 1 1720-29 5 10 3 0 1830-39 3 1 3 1 740-49 1 4 1 0 650-59 34 22 6 8 7060-69 3 3 4 2 1270-79 9 8 4 0 2180-89 13 10 6 1 3190-99 11 10 8 1 31100 111 98 53 11 273Refusal 0 1 0 0 1Don't know 5 2 3 1 11Total 336 253 162 51 803Remark: The values (percentages) range from 0 to 100. Women 50-59 60-69 70-79 80+ Total0-9 134 120 135 74 46310-19 14 7 15 2 3720-29 9 5 3 4 2230-39 8 6 3 0 1740-49 10 5 0 0 1550-59 29 24 24 5 8360-69 2 5 1 1 1070-79 8 5 5 1 1980-89 30 11 9 1 5290-99 15 9 6 1 31100 112 102 66 36 317Refusal 0 2 0 1 3Don't know 3 3 9 9 24Total 376 305 277 136 1,094Remark: The values (percentages) range from 0 to 100.

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Table EX005: Chance of leaving any inheritance “Please look at card 37. What are the chances that you or your/husband/wife/partner will leave any inheritance?” Men 50-59 60-69 70-79 80+ Total 0-9 49 26 26 10 111 10-19 4 1 3 1 9 20-29 5 5 2 2 15 30-39 8 2 2 0 12 40-49 4 3 2 0 9 50-59 14 9 9 2 35 60-69 1 1 0 0 2 70-79 2 2 1 1 7 80-89 4 5 7 2 17 90-99 5 4 0 0 9 100 32 20 16 6 73 Refusal 0 1 0 0 1 Don't know 1 2 3 1 7 Total 130 81 71 25 307 Remark: The values (percentages) range from 0 to 100. This table includes those men who report in ex004 to have no chance of leaving an inheritance worth more than 50,000 euro or who answered with “Refusal”, or with “Don’t know”. Women 50-59 60-69 70-79 80+ Total 0-9 46 50 58 41 195 10-19 10 6 7 4 27 20-29 10 4 8 4 27 30-39 7 4 5 2 17 40-49 4 5 0 1 11 50-59 12 9 9 5 36 60-69 3 1 1 1 6 70-79 3 3 6 0 12 80-89 5 3 2 1 11 90-99 5 3 5 1 13 100 25 31 33 14 103 Refusal 0 2 0 1 3 Don't know 2 1 7 6 16 Total 134 122 139 83 478 Remark: The values (percentages) range from 0 to 100. This table includes those women who report in ex004 to have no chance of leaving an inheritance worth more than 50,000 euro or who answered with “Refusal”, or with “Don’t know”. Table EX006: Chance of leaving inheritance more than 150,000 euro “Please look at card 37. What are the chances that you or your husband/wife/partner will leave an inheritance totalling 150,000 euro or more?” Men 50-59 60-69 70-79 80+ Total 0-9 44 64 31 10 150 10-19 12 9 3 2 26 20-29 8 6 3 0 16 30-39 1 4 3 1 9 40-49 7 2 0 0 9 50-59 29 11 4 2 46 60-69 5 3 2 1 11 70-79 6 7 4 0 17 80-89 13 6 6 1 26 90-99 4 3 3 1 11 100 74 56 31 7 168 Refusal 1 0 1 0 2 Don't know 1 2 0 0 4 Total 206 172 91 26 496 Remark: The values (percentages) range from 0 to 100. This table includes those men who report in ex004 to have a chance of leaving an inheritance worth more than 50,000 euro.

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Women 50-59 60-69 70-79 80+ Total0-9 78 55 62 19 21310-19 15 6 8 4 3420-29 9 8 7 1 2530-39 11 5 1 1 1740-49 5 2 5 1 1350-59 22 15 9 4 5060-69 5 4 2 0 1170-79 8 8 0 0 1680-89 12 8 7 3 3090-99 7 5 1 0 13100 70 67 35 18 189Refusal 0 2 0 0 2Don't know 1 2 0 1 4Total 242 184 137 53 616Remark: The values (percentages) range from 0 to 100. This table includes those women who report in ex004 to have a chance of leaving an inheritance worth more than 50,000 euro. Table EX007: Government reduces pension “Please look at card 37. What are the chances that before you retire the government will reduce the pension which you are entitled to?” Men 50-59 60-69 70-79 80+ Total0-9 15 6 3 1 2510-19 6 2 0 0 820-29 6 1 0 0 730-39 2 0 0 0 240-49 2 1 1 0 450-59 38 5 0 0 4360-69 15 1 0 0 1670-79 18 2 0 0 2080-89 34 2 0 0 3690-99 20 2 0 0 22100 56 0 0 0 56Don't know 2 1 0 0 3Total 215 23 4 1 243Remark: The values (percentages) range from 0 to 100. This table includes those men who report in ep005 to be employed or self-employed or who report in ep098d1 to be entitled to a public old age pension. Women 50-59 60-69 70-79 80+ Total0-9 16 5 4 3 2710-19 5 0 0 0 520-29 6 1 0 1 830-39 12 1 0 0 1240-49 7 1 0 1 950-59 24 4 0 0 2860-69 10 0 0 0 1070-79 18 0 1 0 1980-89 25 1 0 0 2690-99 20 1 2 0 23100 23 4 0 0 27Refusal 0 0 0 1 1Don't know 0 1 1 0 2Total 166 18 8 6 198Remark: The values (percentages) range from 0 to 100. This table includes those women who report in ep005 to be employed or self-employed or who report in ep098d1 to be entitled to a public old age pension.

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Table EX008: Government raises retirement age “Please look at card 37. What are the chances that before you retire the government will raise your retirement age?” Men 50-59 60-69 70-79 80+ Total 0-9 38 8 3 0 48 10-19 10 2 0 0 12 20-29 5 1 0 0 6 30-39 10 0 0 1 11 40-49 7 0 0 0 7 50-59 32 5 0 0 36 60-69 16 1 1 0 18 70-79 15 3 0 0 18 80-89 24 1 0 0 25 90-99 15 0 1 0 16 100 43 2 0 0 45 Don't know 0 1 0 0 1 Total 215 23 4 1 243 Remark: The values (percentages) range from 0 to 100. This table includes those men who report in ep005 to be employed or self-employed or who report in ep098d1 to be entitled to a public old age pension. Women 50-59 60-69 70-79 80+ Total 0-9 29 6 6 3 44 10-19 6 0 0 0 6 20-29 12 1 0 1 15 30-39 10 1 0 0 10 40-49 6 0 0 0 6 50-59 23 4 1 1 29 60-69 6 1 0 0 7 70-79 11 1 0 0 12 80-89 28 1 1 0 29 90-99 14 1 0 0 14 100 21 2 0 0 23 Refusal 0 0 0 1 1 Don't know 0 1 0 0 1 Total 166 18 8 6 198 Remark: The values (percentages) range from 0 to 100. This table includes those women who report in ep005 to be employed or self-employed or who report in ep098d1 to be entitled to a public old age pension. Table EX009: Life expectancy “Please look at card 37. What are the chances that you will live to be age (75/80/85/90/100/105/11/120) or more?” Men 50-59 60-69 70-79 80+ Total 0-9 21 9 19 18 67 10-19 6 4 8 2 20 20-29 10 5 17 3 36 30-39 11 9 10 2 33 40-49 13 9 14 3 38 50-59 96 73 41 11 221 60-69 20 20 5 0 45 70-79 38 36 12 4 90 80-89 45 33 13 2 93 90-99 26 16 4 1 47 100 47 35 15 2 99 Don't know 3 4 5 1 13 Total 336 253 162 51 803 Remark: The values (percentages) range from 0 to 100.

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Women 50-59 60-69 70-79 80+ Total0-9 13 11 31 44 9910-19 2 7 21 15 4520-29 4 14 26 8 5330-39 14 18 30 8 6940-49 16 7 11 4 3950-59 113 82 74 26 29560-69 24 26 14 9 7270-79 38 37 21 3 9880-89 57 37 16 3 11290-99 31 21 8 1 61100 59 38 16 3 116Refusal 1 0 0 1 2Don't know 3 8 9 11 31Total 376 305 277 136 1,094Remark: The values (percentages) range from 0 to 100. Table EX010: Chances standard of living will be better “Please look at card 37. What are the chances that five years from now your standard of living will be better than today?” Men 50-59 60-69 70-79 80+ Total0-9 107 112 86 32 33710-19 29 23 12 2 6620-29 21 9 11 1 4230-39 40 16 9 0 6540-49 16 22 13 8 5950-59 74 51 21 7 15260-69 16 2 2 0 2070-79 8 5 1 0 1480-89 10 2 3 0 1590-99 5 2 1 0 8100 8 6 2 0 16Don't know 3 3 2 1 10Total 336 253 162 51 803Remark: The values (percentages) range from 0 to 100. Women 50-59 60-69 70-79 80+ Total0-9 139 148 145 83 51610-19 38 27 23 7 9420-29 21 18 15 7 6130-39 33 15 11 7 6640-49 25 24 11 4 6550-59 80 54 48 19 20060-69 14 8 2 0 2470-79 10 5 6 2 2380-89 3 2 1 0 690-99 4 0 3 0 8100 5 2 3 0 10Don't know 3 3 7 9 22Total 376 305 277 136 1,094Remark: The values (percentages) range from 0 to 100.

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Table EX011: Chances standard of living will be worse “Please look at card 37. And what are the chances that five years from now your standard of living will be worse than today?” Men 50-59 60-69 70-79 80+ Total 0-9 60 61 45 15 181 10-19 25 13 8 2 48 20-29 20 9 8 2 40 30-39 24 12 7 1 44 40-49 16 11 5 1 33 50-59 68 60 27 8 162 60-69 23 16 8 6 53 70-79 33 23 16 0 72 80-89 20 14 18 4 56 90-99 21 13 4 6 43 100 26 20 16 4 66 Don't know 1 2 1 1 6 Total 336 253 162 51 803 Remark: The values (percentages) range from 0 to 100. Women 50-59 60-69 70-79 80+ Total 0-9 80 76 86 45 287 10-19 21 16 11 4 53 20-29 26 18 11 5 60 30-39 22 16 7 4 49 40-49 14 9 3 2 28 50-59 84 68 65 27 244 60-69 23 16 13 4 56 70-79 31 25 18 3 78 80-89 26 22 25 7 80 90-99 19 13 13 10 54 100 26 23 16 13 79 Don't know 3 4 8 11 26 Total 376 305 277 136 1,094 Remark: The values (percentages) range from 0 to 100. Table EX013: Save or invest any of the gift “Imagine, you received an unexpected gift of 12,000 euro. Would you save or invest any of it?” Men 50-59 60-69 70-79 80+ Total Yes 227 175 95 24 521 No 109 76 67 26 277 Don't know 0 2 1 1 4 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes 267 198 160 68 693 No 106 107 113 64 390 Don't know 2 0 3 4 10 Total 376 305 277 136 1,094 Table EX014: Amount save or invest of the gift “How much of it would you save or invest?” Men 50-59 60-69 70-79 80+ Total 0-999 8 4 1 0 13 1,000-9,999 119 84 55 13 271 10,000-99,999 96 87 38 11 233 100,000-999,999 0 1 0 0 1 Refusal 0 1 0 0 1 Don't know 5 0 1 0 6 Total 228 176 95 25 524 Remark: The values range from 0 to 100,000. This table includes those men who report in ex013 to would save or invest any of teh gift.

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Women 50-59 60-69 70-79 80+ Total0-999 3 2 6 2 131,000-9,999 150 121 88 37 39710,000-99,999 110 74 66 28 279Don't know 5 2 0 0 6Total 268 199 160 68 695Remark: The values range from 0 to 40,000. This table includes those men who report in ex013 to would save or invest any of teh gift. Table EX015: Use any of the gift to pay off debts “Would you use any of it to pay off debts?” Men 50-59 60-69 70-79 80+ TotalYes 71 15 4 2 92No 186 166 130 37 518Don't know 0 2 1 1 4Total 257 183 135 40 614Remark: This table includes those men who report in ex014 to would save or invest less than 12,000 euro or who had a missing in ex014. Women 50-59 60-69 70-79 80+ TotalYes 49 12 10 2 73No 235 229 214 106 784Don't know 1 0 3 4 9Total 284 241 228 113 866Remark: This table includes those women who report in ex014 to would save or invest less than 12,000 euro or who had a missing in ex014. Table EX016: Amount using to pay off debts “How much of it would you use to pay off debts?” Men 50-59 60-69 70-79 80+ Total0-999 0 1 0 0 11,000-9,999 40 8 3 1 5110,000-99,999 22 3 1 1 28Don't know 1 1 0 0 2Total 63 13 4 2 82Remark: The values range from 500 to 12,000. This table includes those men who report in ex015 to would use any of the gift to pay off debts. Women 50-59 60-69 70-79 80+ Total0-999 0 1 0 0 11,000-9,999 30 9 6 2 4810,000-99,999 15 1 3 0 20Don't know 1 0 0 0 1Total 46 11 10 2 69Remark: The values range from 0 to 12,000. This table includes those women who report in ex015 to would use any of the gift to pay off debts. EX017: Give any to relatives or donation “Would you give any of it to relatives or donate any of it?” Men 50-59 60-69 70-79 80+ TotalYes 103 124 97 27 350No 123 53 36 10 222Don't know 1 2 1 1 6Total 227 179 134 38 578Remark: This table includes those men where the sum of the amounts in ex014 and ex015 is less than 12,000 euro. Women 50-59 60-69 70-79 80+ TotalYes 178 182 170 85 616No 85 57 47 23 212Don't know 1 0 3 4 9Total 265 239 221 113 837Remark: This table includes those women where the sum of the amounts in ex014 and ex015 is less than 12,000 euro.

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Table EX018: Amount giving to relatives or donation “How much of it would you give to relatives or donate?” Men 50-59 60-69 70-79 80+ Total 0-999 5 5 1 2 13 1,000-9,999 86 90 57 15 247 10,000-99,999 14 31 41 10 97 100,000-999,999 0 1 0 0 1 Don't know 1 1 1 0 3 Total 106 128 100 28 361 Remark: The values range from 0 to 100,000. This table includes those men who report in ex017 to would give any of the gift to relatives or to a donation. Women 50-59 60-69 70-79 80+ Total 0-999 6 2 6 6 19 1,000-9,999 138 122 90 34 385 10,000-99,999 34 56 75 46 211 Don't know 1 2 0 0 3 Total 179 182 171 86 618 Remark: The values range from 0 to 80,000. This table includes those women who report in ex017 to would give any of the gift to relatives or to a donation. Table EX019: Use to buy durables “Would you use any of it to buy durable items such as a house, car, furniture, or electrical appliances?” Men 50-59 60-69 70-79 80+ Total Yes 96 66 32 9 203 No 88 63 46 16 211 Don't know 1 2 1 1 6 Total 185 131 78 26 420 Remark: This table includes those men where the sum of the amounts in ex014 and ex016 and ex018 is less than 12,000 euro.

Women 50-59 60-69 70-79 80+ Total Yes 99 72 47 15 233 No 96 88 74 33 291 Don't know 1 0 3 4 9 Total 195 160 125 53 533 Remark: This table includes those women where the sum of the amounts in ex014 and ex016 and ex018 is less than 12,000 euro. Table EX020: Amount using to buy durables “How much of it would you use to buy durable items?” Men 50-59 60-69 70-79 80+ Total 0-999 1 2 2 1 6 1,000-9,999 75 59 22 4 161 10,000-99,999 14 5 7 3 29 100,000-999,999 1 0 0 0 1 Don't know 4 1 1 0 5 Total 95 66 32 9 202 Remark: The values range from 0 to 120,000. This table includes those men who report in ex019 to would use the gift to buy durables. Women 50-59 60-69 70-79 80+ Total 0-999 4 2 2 1 9 1,000-9,999 84 63 43 14 204 10,000-99,999 9 8 2 0 19 Don't know 2 0 0 0 2 Total 99 72 48 15 234 Remark: The values range from 0 to 12,000. This table includes those women who report in ex019 to would use the gift to buy durables.

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Table EX021: Use for holiday or journey “Would you use any of it for a holiday trip or journey?” Men 50-59 60-69 70-79 80+ TotalYes 121 92 46 11 270No 26 13 22 8 69Don't know 0 2 1 1 4Total 147 107 69 20 343Remark: This table includes those men where the sum of the amounts in ex014 and ex016 and ex018 and ex020 is less than 12,000 euro. Women 50-59 60-69 70-79 80+ TotalYes 136 121 68 22 348No 25 11 30 23 89Don't know 1 0 3 4 9Total 163 132 101 49 446Remark: This table includes those men where the sum of the amounts in ex014 and ex016 and ex018 and ex020 is less than 12,000 euro. Table EX022: Amount for holiday or journey “How much or it would you use for a holiday trip or journey?” Men 50-59 60-69 70-79 80+ Total0-999 4 4 3 0 111,000-9,999 106 80 36 10 23310,000-99,999 10 6 7 1 25Don't know 1 2 0 0 3Total 122 92 46 11 271Remark: The values range from 100 to 12,000. This table includes those men who report in ex021 to would use the gift for holiday or journey. Women 50-59 60-69 70-79 80+ Total0-999 1 2 5 3 121,000-9,999 123 114 54 13 30410,000-99,999 13 5 11 6 34Don't know 2 2 0 0 5Total 139 124 69 22 355Remark: The values range from 100 to 15,000. This table includes those women who report in ex021 to would use the gift for holiday or journey.

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3.20 Interviewer Observations (IV) The interviewer had to fill out the questions in the interviewer observation module after each completed interview. Table IV020: Relationship proxy “A proxy respondent has answered some or all of the questions?” Men 50-59 60-69 70-79 80+ Total Spouse/partner 0 4 0 0 4 Child/child-in-law 0 0 1 1 2 Total 0 4 1 1 6 Remark: This table includes those men for whom at least one of a list of modules (DN, PH, BR, HC, EP, CH, SP, FT, HO, HH, CO, AS) was filled out by a proxy only. Women 50-59 60-69 70-79 80+ Total Spouse/partner 2 0 1 0 3 Child/child-in-law 0 0 1 8 9 Grand-child 0 0 1 0 1 Nursing home staff 0 0 0 1 1 Other 1 0 0 0 1 Total 3 0 3 9 15 Remark: This table includes those women for whom at least one of a list of modules (DN, PH, BR, HC, EP, CH, SP, FT, HO, HH, CO, AS) was filled out by a proxy only. Table IV002d1: Nobody else present “Were any third persons, except proxy respondents, present during (parts of) the interview?” (Nobody else present) Men 50-59 60-69 70-79 80+ Total Not selected 85 65 64 12 226 Selected 253 189 100 40 582 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 64 47 46 21 178 Selected 315 259 235 116 924 Total 378 306 281 136 1,102 Table IV002d2: Spouse or partner present “Were any third persons, except proxy respondents, present during (parts of) the interview?” (Spouse or partner present) Men 50-59 60-69 70-79 80+ Total Not selected 267 194 109 42 612 Selected 71 60 55 10 196 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 324 266 249 129 968 Selected 55 40 32 8 134 Total 378 306 281 136 1,102 Table IV002d3: Parent(s) present “Were any third persons, except proxy respondents, present during (parts of) the interview?” (Parent(s) present) Men 50-59 60-69 70-79 80+ Total Not selected 331 254 164 52 802 Selected 6 0 0 0 6 Total 338 254 164 52 808

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Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 281 136 1,101Selected 1 0 0 0 1Total 378 306 281 136 1,102 Table IV002d4: Child(ren) present “Were any third persons, except proxy respondents, present during (parts of) the interview?” (Child(ren) present) Men 50-59 60-69 70-79 80+ TotalNot selected 331 252 160 52 795Selected 6 2 4 0 13Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 374 301 275 129 1,080Selected 4 5 6 8 22Total 378 306 281 136 1,102 Table IV002d5: Other relatives present “Were any third persons, except proxy respondents, present during (parts of) the interview?” (Other relatives present) Men 50-59 60-69 70-79 80+ TotalNot selected 338 251 163 52 804Selected 0 3 1 0 4Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 304 278 133 1,092Selected 1 2 3 3 10Total 378 306 281 136 1,102 Table IV002d6: Other persons present “Were any third persons, except proxy respondents, present during (parts of) the interview?” (Other persons present) Men 50-59 60-69 70-79 80+ TotalNot selected 334 254 162 51 801Selected 4 0 2 1 7Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 377 306 280 134 1,097Selected 2 0 1 2 5Total 378 306 281 136 1,102 Table IV003: Intervened in interview “Have these persons intervened in the interview?” Men 50-59 60-69 70-79 80+ TotalYes, often 1 2 7 1 11Yes, occasionally 25 26 21 7 78No 58 37 34 3 133Total 85 65 62 11 222Remark: This table includes those men where, according to iv002d1 to iv002d6, at least one third person was present during the interview.

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Women 50-59 60-69 70-79 80+ Total Yes, often 1 1 0 0 2 Yes, occasionally 17 7 10 11 45 No 45 39 32 10 126 Total 63 47 42 21 173 Remark: This table includes those men where, according to iv002d1 to iv002d6, at least one third person was present during the interview. Table IV004: Willingness to answer “How would you describe the willingness of the respondent to answer?” Men 50-59 60-69 70-79 80+ Total Very good 234 182 98 22 536 Good 73 43 38 13 167 Fair 20 21 21 6 68 Bad 4 3 3 3 13 Good in the beginning, got worse during the interview 4 2 3 4 13 Bad in the beginning, got better during the interview 1 0 0 1 2 Don't know 0 2 0 1 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Very good 284 214 169 65 733 Good 74 64 62 29 229 Fair 13 20 33 20 85 Bad 2 2 2 10 16 Good in the beginning, got worse during the interview 1 6 5 9 21 Bad in the beginning, got better during the interview 0 0 2 1 3 Refusal 0 0 1 0 1 Don't know 1 0 2 2 6 Total 376 305 277 136 1,094 Table IV005d1: Reason willingness worse: losing interest “Why did the respondent’s willingness to answer get worse during the interview?” (The respondent was losing interest) Men 50-59 60-69 70-79 80+ Total Not selected 334 253 163 49 799 Selected 4 1 1 3 9 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 377 304 280 134 1,095 Selected 1 2 1 2 7 Total 378 306 281 136 1,102 Table IV005d2: Reason willingness worse: losing concentration or getting tired “Why did the respondent’s willingness to answer get worse during the interview?” (The respondent was losing concentration or was getting tired) Men 50-59 60-69 70-79 80+ Total Not selected 338 253 162 51 804 Selected 0 1 2 1 4 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 304 280 129 1,091 Selected 0 2 1 8 11 Total 378 306 281 136 1,102

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Table IV005d3: Reason willingness worse: other “Why did the respondent’s willingness to answer get worse during the interview?” (Other, please specify) Men 50-59 60-69 70-79 80+ TotalNot selected 338 254 164 52 808Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 378 304 279 135 1,097Selected 0 2 2 1 5Total 378 306 281 136 1,102 Table IV007: Resp. ask for clarification “Did the resondent ask for clarification on any questions?” Men 50-59 60-69 70-79 80+ TotalNever 210 141 64 13 428Almost never 80 66 42 13 200Now and then 30 36 45 14 125Often 8 5 5 4 22Very often 3 2 4 2 11Always 6 2 3 2 14Don't know 0 2 0 1 3Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalNever 222 164 107 26 520Almost never 101 85 88 49 323Now and then 35 44 62 29 170Often 6 6 9 13 34Very often 1 2 6 10 19Always 9 4 1 7 21Refusal 0 0 1 0 1Don't know 1 0 2 2 6Total 376 305 277 136 1,094 Table IV008: Respondent understood questions “Overall, did you feel that the respondent understood the questions?” Men 50-59 60-69 70-79 80+ TotalNever 8 3 2 1 14Almost never 0 0 2 1 3Now and then 11 11 13 6 41Often 11 20 23 8 62Very often 53 36 25 18 131Always 253 182 98 17 549Don't know 0 2 0 1 3Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ TotalNever 2 2 3 2 10Almost never 1 0 0 3 4Now and then 7 9 21 27 64Often 18 22 24 17 82Very often 52 62 57 39 210Always 294 210 168 45 717Refusal 0 0 1 0 1Don't know 1 0 2 2 6Total 376 305 277 136 1,094

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Table IV018: Help needed reading showcards “Did the respondent need any help reading the showcards during the inteview?” Men 50-59 60-69 70-79 80+ Total Yes, due to sight problems 4 9 7 7 26 Yes, due to literacy problems 4 2 5 4 16 No 329 240 150 39 758 Don't know 0 2 0 1 3 Total 336 253 162 51 803 Women 50-59 60-69 70-79 80+ Total Yes, due to sight problems 6 5 19 23 53 Yes, due to literacy problems 1 7 10 11 29 No 367 294 244 100 1,005 Refusal 0 0 1 0 1 Don't know 1 0 2 2 6 Total 376 305 277 136 1,094 Table IV009: Which area building located “In which type of area is the building located?” Men 50-59 60-69 70-79 80+ Total A big city 35 19 15 11 80 The suburbs or outskirts of a big city 42 37 19 8 106 A large town 46 45 36 7 134 A small town 93 82 48 11 234 A rural area or village 23 12 11 1 47 Total 239 196 129 38 602 Remark: This table includes those men who were the household respondent and where the interview took place in the house of the respondent. Women 50-59 60-69 70-79 80+ Total A big city 35 31 27 18 112 The suburbs or outskirts of a big city 53 32 26 25 136 A large town 52 34 55 30 172 A small town 83 83 81 29 276 A rural area or village 18 23 21 7 68 Total 241 204 209 110 764 Remark: This table includes those women who were the household respondent and where the interview took place in the house of the respondent. Table IV010: Type of building “Which type of building does the household live in?” Men 50-59 60-69 70-79 80+ Total A farm house 14 12 11 0 37 A free standing one or two family house 117 103 64 15 298 A one or two family house as row or double house 21 14 9 1 46 A building with 3 to 8 flats 30 23 17 4 74 A building with 9 or more flats but no more than 8 floors

53 40 24 17 134

A high-rise with 9 or more floors 4 3 3 0 10 A housing complex with services for elderly 0 0 1 1 2 Total 239 196 129 38 602 Remark: This table includes those men who were the household respondent and where the interview took place in the house of the respondent.

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Women 50-59 60-69 70-79 80+ TotalA farm house 12 20 23 10 65A free standing one or two family house 111 84 89 43 328A one or two family house as row or double house 15 14 19 3 51A building with 3 to 8 flats 31 34 28 17 111A building with 9 or more flats but no more than 8 floors

67 46 49 30 192

A high-rise with 9 or more floors 5 6 1 3 15A housing complex with services for elderly 0 0 0 1 1Special housing for elderly (24 hours attention) 0 0 0 1 1Total 241 204 209 110 764Remark: This table includes those women who were the household respondent and where the interview took place in the house of the respondent. Table IV011: Number of floors of building “Including the ground floor, how many floors does the building have?” Men 50-59 60-69 70-79 80+ Total1 1 2 0 2 52 8 5 8 0 223 33 20 9 4 674 8 19 10 7 445 13 9 7 2 306 14 5 5 3 287 4 2 0 0 58 1 0 2 2 59 0 1 0 0 1Total 83 63 41 21 207Remark: This table includes those men who report in iv010 to live in a building with 3 to 8 flats or in a building with 9 or more flats but no more than 8 floors. Women 50-59 60-69 70-79 80+ Total1 1 6 2 2 122 10 13 17 11 523 36 19 16 12 834 24 27 20 8 795 10 4 11 9 346 6 8 5 4 227 3 2 1 1 78 6 2 3 0 119 0 0 1 1 210 0 1 0 0 1Total 98 80 77 48 303Remark: This table includes those women who report in iv010 to live in a building with 3 to 8 flats or in a building with 9 or more flats but no more than 8 floors. Table IV012: Number of steps to entrance “How many steps had to be climed (up or down) to get to the main entrance of the household’s flat?” Men 50-59 60-69 70-79 80+ TotalUp to 5 25 16 9 3 546 to 15 16 12 14 4 4616 to 25 6 13 2 6 27More than 25 39 24 20 9 92Total 86 66 45 22 219Remark: This table includes those men who report in iv010 to live in a building with 3 to 8 flats or in a building with 9 or more flats but no more than 8 floors or I a high-rise with 9 or more flats or in a housing complex with services for elderls or in a special housing for elderly.

372

Women 50-59 60-69 70-79 80+ Total Up to 5 19 22 10 7 58 6 to 15 21 20 32 22 95 16 to 25 21 12 14 10 56 More than 25 42 31 23 15 111 Total 102 86 79 53 320 Remark: This table includes those women who report in iv010 to live in a building with 3 to 8 flats or in a building with 9 or more flats but no more than 8 floors or I a high-rise with 9 or more flats or in a housing complex with services for elderls or in a special housing for elderly. IV013: Sex of interviewer “Finally, we would like to ask you to provide a few details about you. What is your sex?” Men 50-59 60-69 70-79 80+ Total Male 121 119 80 13 334 Female 130 85 55 24 294 Total 251 204 135 37 628 Women 50-59 60-69 70-79 80+ Total Male 91 99 99 44 334 Female 166 114 122 71 472 Total 257 213 221 115 806 Table IV014: Age of interviewer “What is your age?” Men 50-59 60-69 70-79 80+ Total 10-19 1 2 0 0 4 20-29 24 14 12 3 54 30-39 36 22 18 10 86 40-49 84 61 54 11 211 50-59 69 60 27 9 166 60-69 30 37 12 2 81 70-79 6 8 12 1 27 Total 251 204 135 37 628 Remark: The values range from 17 to 75.

Women 50-59 60-69 70-79 80+ Total 10-19 2 2 1 0 5 20-29 21 23 18 8 69 30-39 42 33 36 23 134 40-49 71 67 69 41 249 50-59 86 56 55 21 216 60-69 29 26 28 15 99 70-79 6 7 13 5 31 80-89 0 0 0 2 2 Total 257 213 221 115 806 Remark: The values range from 17 to 83.

Table IV015: Highest school interviewer “What is the highest school certificate or degree that you have obtained?” Men 50-59 60-69 70-79 80+ Total Education country specific cat1: Volksschule 1 1 0 0 2 Education country specific cat2: Hauptschule 105 80 54 13 253 Education country specific cat3: Gymnasium (öffent.) mit Matura

34 25 14 3 77


6 13 13 3 36


44 38 23 4 110


51 41 27 8 128

None 1 0 0 0 1 Other type (also abroad) 8 6 4 4 22 Total 251 204 135 37 628

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51 25 26 14 116


12 12 13 9 46


34 34 23 18 110


57 53 56 30 197

Other type (also abroad) 9 4 3 0 16Total 257 213 221 115 806 Table IV016d1: Further education interviewer c1 “Which degrees of higher education or vocational training do you have?” (Lehrabschlussprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 227 167 103 33 529Selected 111 87 62 19 279Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 270 198 161 87 717Selected 108 108 120 49 385Total 378 306 281 136 1,102Table IV016d2: Further education interviewer c2 “Which degrees of higher education or vocational training do you have?” (Meisterprüfung) Men 50-59 60-69 70-79 80+ TotalNot selected 317 223 143 50 733Selected 20 31 21 2 75Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 358 282 249 124 1,013Selected 21 24 32 12 89Total 378 306 281 136 1,102 Table IV016d3: Further education interviewer c3 “Which degrees of higher education or vocational training do you have?” (Fachakademie: Sozialakademie, Krankenpflegeausbildung, Pädagogische Akademie, …) Men 50-59 60-69 70-79 80+ TotalNot selected 291 227 141 49 708Selected 47 27 23 3 100Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ TotalNot selected 332 276 260 119 986Selected 47 30 22 17 116Total 378 306 281 136 1,102

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Table IV016d4: Further education interviewer c4 “Which degrees of higher education or vocational training do you have?” (Fachhochschulabschluss) Men 50-59 60-69 70-79 80+ Total Not selected 326 237 149 46 759 Selected 11 16 15 7 49 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 351 286 265 128 1,030 Selected 28 20 16 9 72 Total 378 306 281 136 1,102 Table IV016d5: Further education interviewer c5 “Which degrees of higher education or vocational training do you have?” (Universität) Men 50-59 60-69 70-79 80+ Total Not selected 338 254 164 52 808 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 378 306 281 136 1,102 Total 378 306 281 136 1,102 Table IV016d8: No further education interviewer43 “Which degrees of higher education or vocational training do you have?” (None) Men 50-59 60-69 70-79 80+ Total Not selected 304 237 154 49 744 Selected 34 17 10 3 64 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 354 290 265 123 1,032 Selected 25 16 16 13 70 Total 378 306 281 136 1,102 Table IV016d9: Other further education interviewer “Which degrees of higher education or vocational training do you have?” (Other further education) Men 50-59 60-69 70-79 80+ Total Not selected 311 230 158 49 748 Selected 27 24 6 3 60 Total 338 254 164 52 808 Women 50-59 60-69 70-79 80+ Total Not selected 348 288 265 121 1,023 Selected 30 18 16 15 79 Total 378 306 281 136 1,102

43 Variables iv016d6 to iv016d7 do not apply for Austria.

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3.21 Self-administered questionnaire (Q) All eligibles persons in a household were asked to fill out a self-administered questionnaire. Table Q1: Life satisfaction “How satisfied are you with your life in general?” Men 50-59 60-69 70-79 80+ TotalVery satisfied 104 79 51 9 242Somewhat satisfied 176 132 71 25 403Somewhat dissatisfied 20 8 10 9 46Very dissatisfied 3 1 1 1 5Missing 8 10 4 2 24Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalVery satisfied 123 75 65 26 289Somewhat satisfied 197 173 147 69 587Somewhat dissatisfied 14 13 21 13 61Very dissatisfied 1 2 1 2 7Missing 10 13 16 5 44Total 346 275 250 116 987 Table Q2_a: Age prevents me “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (My age prevents me from doing the things I would do) Men 50-59 60-69 70-79 80+ TotalOften 13 17 19 19 68Sometimes 79 68 57 13 217Rarely 117 95 39 8 258Never 97 44 21 4 167Missing 4 5 1 1 11Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 17 16 49 41 123Sometimes 85 96 101 45 326Rarely 116 98 66 19 299Never 124 60 31 8 222Missing 5 5 3 3 17Total 346 275 250 116 987 Table Q2_b: Out of my control “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I feel that what happens to me is out of my control) Men 50-59 60-69 70-79 80+ TotalOften 11 10 7 7 35Sometimes 59 47 36 14 156Rarely 115 62 45 11 233Never 120 105 48 12 284Missing 4 7 1 1 13Total 309 230 136 46 721

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Women 50-59 60-69 70-79 80+ Total Often 21 11 19 12 64 Sometimes 54 61 62 25 201 Rarely 93 73 63 35 264 Never 170 120 98 39 428 Missing 7 11 8 4 30 Total 346 275 250 116 987 Table Q2_c: Feel left out “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I feel left out of things) Men 50-59 60-69 70-79 80+ Total Often 10 4 5 4 24 Sometimes 50 38 33 10 130 Rarely 89 64 42 19 214 Never 157 115 56 12 339 Missing 4 9 1 0 14 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 5 11 16 10 41 Sometimes 48 50 59 33 190 Rarely 118 74 70 38 300 Never 171 132 98 28 430 Missing 5 8 7 7 26 Total 346 275 250 116 987 Table Q2_d: Do what I want “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I can do the things that I want to do) Men 50-59 60-69 70-79 80+ Total Often 184 149 60 13 406 Sometimes 77 46 42 20 185 Rarely 31 22 26 11 90 Never 13 7 8 1 29 Missing 4 6 1 0 11 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 213 156 110 36 515 Sometimes 84 76 86 40 286 Rarely 31 27 32 27 118 Never 11 10 15 10 46 Missing 6 6 8 2 22 Total 346 275 250 116 987

377

Table Q2_e: Familiy responsibilities “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (Family responsibilities prevent me from doing what I want to do) Men 50-59 60-69 70-79 80+ TotalOften 9 6 5 4 24Sometimes 87 46 22 4 159Rarely 106 77 48 11 242Never 104 96 61 25 285Missing 4 5 1 1 11Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 29 15 6 2 52Sometimes 114 67 33 8 222Rarely 104 87 74 21 286Never 94 101 130 80 405Missing 5 5 7 5 22Total 346 275 250 116 987 Table Q2_f: Shortage of money “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (Shortage of money stops me from doing the things I want to do) Men 50-59 60-69 70-79 80+ TotalOften 49 32 20 3 105Sometimes 112 72 39 9 232Rarely 90 70 45 16 220Never 55 47 32 18 151Missing 4 9 1 0 13Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 72 56 45 10 182Sometimes 114 100 82 32 328Rarely 98 73 61 24 255Never 57 44 53 43 196Missing 5 3 10 8 26Total 346 275 250 116 987 Table Q2_g: Look forward to each day “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I look forward to each day) Men 50-59 60-69 70-79 80+ TotalOften 215 173 86 18 492Sometimes 75 43 41 18 177Rarely 13 7 7 9 35Never 3 1 1 1 5Missing 4 6 1 0 11Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 257 187 160 61 665Sometimes 69 63 65 28 225Rarely 8 20 13 21 62Never 2 0 3 3 9Missing 9 5 9 2 26Total 346 275 250 116 987

378

Table Q2_h: Life has meaning “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I feel that my life has a meaning) Men 50-59 60-69 70-79 80+ Total Often 227 162 85 25 499 Sometimes 55 47 39 13 154 Rarely 16 10 10 6 42 Never 4 3 2 1 10 Missing 8 8 0 1 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 266 183 157 57 663 Sometimes 56 66 71 36 228 Rarely 14 20 15 16 65 Never 5 3 3 3 14 Missing 5 4 5 3 16 Total 346 275 250 116 987 Table Q2_i: Look back with happiness “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (On balance, I look back on my life with a sense of happiness) Men 50-59 60-69 70-79 80+ Total Often 217 170 87 29 503 Sometimes 68 46 34 11 158 Rarely 18 9 13 4 43 Never 3 0 1 1 5 Missing 5 5 1 0 11 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 255 196 154 61 666 Sometimes 77 64 71 34 245 Rarely 8 10 16 19 53 Never 1 3 2 1 8 Missing 5 3 7 1 16 Total 346 275 250 116 987 Table Q2_j: Full of energy “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I feel full of energy these days) Men 50-59 60-69 70-79 80+ Total Often 147 100 39 13 300 Sometimes 109 93 63 12 277 Rarely 42 22 26 16 106 Never 6 6 5 3 21 Missing 5 8 4 1 18 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 162 101 61 12 336 Sometimes 131 115 111 47 404 Rarely 36 48 54 32 169 Never 6 7 16 21 49 Missing 10 5 9 4 29 Total 346 275 250 116 987

379

Table Q2_k: Full of opportunities “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I feel that life is full of opportunities) Men 50-59 60-69 70-79 80+ TotalOften 169 100 39 10 317Sometimes 95 94 54 11 254Rarely 39 28 35 18 119Never 1 3 7 6 17Missing 5 5 2 1 14Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 172 100 51 15 338Sometimes 133 114 94 26 367Rarely 29 49 82 47 207Never 5 7 15 24 50Missing 7 6 8 3 24Total 346 275 250 116 987 Table Q2_l: Future looks good “Here is a list of statements that people have used to describe their lives or how they feel. We would like to know how often, if at all, you think this applies to you.” (I feel that the future looks good for me) Men 50-59 60-69 70-79 80+ TotalOften 150 98 48 9 305Sometimes 107 91 50 17 264Rarely 38 31 32 12 113Never 9 4 6 6 24Missing 5 6 1 2 14Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 173 102 65 20 359Sometimes 119 124 107 48 398Rarely 45 35 59 32 171Never 3 11 11 13 39Missing 6 4 7 3 20Total 346 275 250 116 987 Table Q3_a: Pursue goals with energy “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (I pursue my goals with lots of energy) Men 50-59 60-69 70-79 80+ TotalStrongly agree 96 61 33 6 195Agree 157 128 63 19 367Neither agree nor disagree 45 26 32 13 116Disagree 6 6 4 4 20Strongly disagree 1 2 2 1 7Missing 4 8 2 2 16Total 309 230 136 46 721

380

Women 50-59 60-69 70-79 80+ Total Strongly agree 84 49 48 8 188 Agree 193 152 96 47 488 Neither agree nor disagree 44 51 74 26 195 Disagree 12 15 24 21 72 Strongly disagree 2 2 2 9 16 Missing 10 7 6 5 28 Total 346 275 250 116 987 Table Q3_b: Usually expect the best “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (In uncertain times, I usually expect the best) Men 50-59 60-69 70-79 80+ Total Strongly agree 49 36 18 4 107 Agree 131 101 69 20 321 Neither agree nor disagree 84 64 34 13 196 Disagree 38 16 12 6 71 Strongly disagree 1 3 2 1 7 Missing 6 9 2 1 19 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Strongly agree 53 27 35 12 128 Agree 141 127 97 39 404 Neither agree nor disagree 89 78 83 38 288 Disagree 42 33 27 14 117 Strongly disagree 7 2 1 5 16 Missing 14 8 6 7 34 Total 346 275 250 116 987 Table Q3_c: Optimistic about future “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (I’m always optimistic about my future) Men 50-59 60-69 70-79 80+ Total Strongly agree 91 65 39 8 203 Agree 143 118 56 23 339 Neither agree nor disagree 54 32 24 7 116 Disagree 16 8 12 4 40 Strongly disagree 1 0 4 3 9 Missing 4 8 2 0 14 Total 309 230 136 46 721

Women 50-59 60-69 70-79 80+ Total Strongly agree 111 68 56 17 253 Agree 156 130 113 46 445 Neither agree nor disagree 43 48 55 27 173 Disagree 21 20 18 14 73 Strongly disagree 5 3 2 5 15 Missing 10 6 6 5 28 Total 346 275 250 116 987

381

Table Q3_d: Not expect things to go my way “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (I hardly ever expect things to go my way) Men 50-59 60-69 70-79 80+ TotalStrongly agree 18 11 7 2 38Agree 77 49 26 16 168Neither agree nor disagree 89 65 53 16 222Disagree 96 68 38 11 213Strongly disagree 26 24 10 1 61Missing 4 13 3 0 19Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalStrongly agree 20 17 13 7 56Agree 90 56 54 25 225Neither agree nor disagree 105 91 96 41 333Disagree 94 78 61 29 262Strongly disagree 24 23 19 5 72Missing 14 11 8 8 40Total 346 275 250 116 987 Table Q3_e: Find ways to solve problems “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (I still find ways to solve a problem if others have given up) Men 50-59 60-69 70-79 80+ TotalStrongly agree 60 48 22 7 137Agree 169 122 65 22 379Neither agree nor disagree 58 39 33 13 143Disagree 16 11 11 3 42Strongly disagree 1 0 1 0 2Missing 4 10 4 0 18Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalStrongly agree 78 47 53 17 196Agree 176 149 106 43 473Neither agree nor disagree 57 47 66 35 206Disagree 22 21 16 9 68Strongly disagree 0 4 1 5 10Missing 12 8 8 7 34Total 346 275 250 116 987 Table Q3_f: Rarely count of good things “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (I rarely count on good things happening to me) Men 50-59 60-69 70-79 80+ TotalStrongly agree 18 18 10 3 49Agree 74 48 24 10 156Neither agree nor disagree 66 69 52 12 199Disagree 105 65 40 18 228Strongly disagree 42 20 9 2 73Missing 4 11 2 0 17Total 309 230 136 46 721

382

Women 50-59 60-69 70-79 80+ Total Strongly agree 22 16 15 5 59 Agree 70 62 63 27 223 Neither agree nor disagree 86 72 79 35 272 Disagree 111 76 64 29 280 Strongly disagree 45 41 22 12 120 Missing 12 8 8 7 34 Total 346 275 250 116 987 Table Q3_g: Feel prepared for my future “Here are some more statements that people have used to describe their lives and how they feel. Please tell us how much you agree or disagree with each statement for you personally.” (Given my previous experiences I feel well prepared for my future) Men 50-59 60-69 70-79 80+ Total Strongly agree 94 71 42 7 214 Agree 133 108 53 25 318 Neither agree nor disagree 56 30 29 4 119 Disagree 18 10 10 7 44 Strongly disagree 5 2 2 2 11 Missing 4 9 1 1 14 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Strongly agree 98 68 62 15 243 Agree 160 127 117 45 448 Neither agree nor disagree 58 51 50 32 191 Disagree 14 17 16 12 59 Strongly disagree 5 4 1 8 17 Missing 12 8 5 4 28 Total 346 275 250 116 987 Table Q4_a: Felt depressed “How often have you experienced the following feelings over the last week?” (I felt depressed) Men 50-59 60-69 70-79 80+ Total Almost all the time 8 1 3 2 13 Most of the time 9 6 4 2 21 Some of the time 95 71 52 14 232 Almost none of the time 194 145 76 27 442 Missing 4 7 2 0 13 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 5 5 2 5 17 Most of the time 21 12 15 16 64 Some of the time 113 106 100 39 358 Almost none of the time 200 146 127 50 524 Missing 7 6 7 4 24 Total 346 275 250 116 987

383

Table Q4_b: Everything was an effort “How often have you experienced the following feelings over the last week?” (I felt that everything I did was an effort) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 14 4 7 6 30Most of the time 26 25 16 8 75Some of the time 160 108 69 22 359Almost none of the time 104 84 41 9 237Missing 6 9 4 1 19Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 8 6 14 13 41Most of the time 42 27 46 28 142Some of the time 172 142 128 43 485Almost none of the time 114 94 58 27 294Missing 9 7 5 4 25Total 346 275 250 116 987 Table Q4_c: Sleep was restless “How often have you experienced the following feelings over the last week?” (My sleep was restless) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 10 6 7 0 23Most of the time 32 16 11 10 69Some of the time 116 92 67 17 292Almost none of the time 148 108 49 18 322Missing 4 7 2 1 14Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 19 8 23 14 64Most of the time 43 38 41 21 143Some of the time 141 129 101 43 413Almost none of the time 134 99 80 35 348Missing 8 2 6 3 19Total 346 275 250 116 987 Table Q4_d: Was happy “How often have you experienced the following feelings over the last week?” (I was happy) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 83 55 35 3 176Most of the time 148 107 54 25 333Some of the time 62 50 34 13 159Almost none of the time 10 10 9 3 32Missing 6 9 5 1 21Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 72 57 49 13 191Most of the time 181 119 101 49 450Some of the time 70 72 79 39 259Almost none of the time 13 17 10 7 47Missing 9 11 11 8 40Total 346 275 250 116 987

384

Table Q4_e: Felt lonely “How often have you experienced the following feelings over the last week?” (I felt lonely) Men 50-59 60-69 70-79 80+ Total Almost all the time 3 0 3 2 8 Most of the time 9 12 10 2 33 Some of the time 83 51 26 16 175 Almost none of the time 207 158 93 26 485 Missing 8 9 4 0 21 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 5 3 10 10 28 Most of the time 11 16 16 12 56 Some of the time 117 100 117 47 381 Almost none of the time 203 148 98 41 491 Missing 9 8 9 5 32 Total 346 275 250 116 987 Table Q4_f: People were unfriendly “How often have you experienced the following feelings over the last week?” (I felt people were unfriendly) Men 50-59 60-69 70-79 80+ Total Almost all the time 3 0 1 0 3 Most of the time 11 4 7 1 23 Some of the time 97 62 35 14 208 Almost none of the time 193 156 91 30 470 Missing 6 8 2 0 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 1 3 2 1 8 Most of the time 7 8 5 7 26 Some of the time 89 58 61 20 227 Almost none of the time 242 201 177 84 704 Missing 7 5 6 4 22 Total 346 275 250 116 987 Table Q4_g: Enjoyed life “How often have you experienced the following feelings over the last week?” (I enjoyed life) Men 50-59 60-69 70-79 80+ Total Almost all the time 90 66 32 6 194 Most of the time 130 101 58 20 309 Some of the time 76 49 40 11 176 Almost none of the time 9 7 6 8 30 Missing 4 7 1 1 13 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 67 49 30 11 156 Most of the time 157 116 108 43 423 Some of the time 98 87 81 46 312 Almost none of the time 16 19 29 11 74 Missing 7 5 3 5 21 Total 346 275 250 116 987

385

Table Q4_h: Felt sad “How often have you experienced the following feelings over the last week?” (I felt sad) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 0 1 3 0 4Most of the time 10 4 6 6 25Some of the time 122 100 57 18 296Almost none of the time 174 118 68 21 380Missing 4 7 3 1 15Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 6 3 5 9 22Most of the time 10 16 15 15 56Some of the time 176 149 139 52 517Almost none of the time 145 102 87 33 367Missing 8 5 5 7 25Total 346 275 250 116 987 Table Q4_i: People disliked me “How often have you experienced the following feelings over the last week?” (I felt that people disliked me) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 4 1 2 0 7Most of the time 3 3 4 1 11Some of the time 57 41 28 6 131Almost none of the time 240 177 100 38 555Missing 6 8 2 1 17Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 3 2 2 2 10Most of the time 7 7 7 4 25Some of the time 48 49 37 21 154Almost none of the time 280 212 199 83 774Missing 7 5 6 5 23Total 346 275 250 116 987 Q4_j: Couldn’t get going “How often have you experienced the following feelings over the last week?” (I couldn’t get going) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 3 6 2 6 17Most of the time 18 12 13 6 48Some of the time 159 115 71 25 370Almost none of the time 125 89 48 9 271Missing 5 8 2 1 16Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 3 7 8 11 29Most of the time 23 26 30 16 95Some of the time 180 154 137 61 532Almost none of the time 131 81 67 21 301Missing 7 8 8 7 29Total 346 275 250 116 987

386

Table Q4_k: Didn’t feel like eating “How often have you experienced the following feelings over the last week?” (I didn’t feel like eating; my appetite was poor) Men 50-59 60-69 70-79 80+ Total Almost all the time 0 4 3 4 12 Most of the time 6 5 8 3 22 Some of the time 66 43 31 12 152 Almost none of the time 231 171 92 25 519 Missing 6 7 2 1 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 1 2 7 8 18 Most of the time 14 11 13 10 47 Some of the time 68 71 81 37 258 Almost none of the time 253 186 144 56 639 Missing 9 5 6 5 26 Total 346 275 250 116 987 Table Q4_l: Had a lot of energy “How often have you experienced the following feelings over the last week?” (I had a lot of energy) Men 50-59 60-69 70-79 80+ Total Almost all the time 76 58 32 7 172 Most of the time 135 101 54 18 308 Some of the time 82 50 38 9 178 Almost none of the time 11 13 11 12 47 Missing 5 8 2 0 15 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 70 45 38 9 162 Most of the time 162 122 91 45 420 Some of the time 90 80 79 34 282 Almost none of the time 14 22 32 23 91 Missing 9 7 10 5 32 Total 346 275 250 116 987 Table Q4_m: Felt tired “How often have you experienced the following feelings over the last week?” (I felt tired) Men 50-59 60-69 70-79 80+ Total Almost all the time 5 5 3 7 19 Most of the time 23 13 16 8 60 Some of the time 197 135 83 22 438 Almost none of the time 80 68 31 9 187 Missing 4 10 3 0 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Almost all the time 13 7 8 13 41 Most of the time 24 30 39 17 111 Some of the time 217 177 161 60 615 Almost none of the time 83 57 35 19 194 Missing 8 5 7 7 26 Total 346 275 250 116 987

387

Table Q4_n: Felt rested “How often have you experienced the following feelings over the last week?” (I felt really rested when I woke up in the morning) Men 50-59 60-69 70-79 80+ TotalAlmost all the time 94 80 45 10 229Most of the time 138 99 63 18 317Some of the time 55 31 23 16 124Almost none of the time 18 14 5 2 38Missing 4 7 1 0 12Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAlmost all the time 99 82 67 22 270Most of the time 147 111 113 50 421Some of the time 67 64 45 26 203Almost none of the time 26 14 22 15 76Missing 7 5 3 2 17Total 346 275 250 116 987 Table Q6_a: Do best for children at own expense “The following statements are related to the duties people may have in their family. Please tell us how much you agree or disagree with each statement.” (Parents’ duty is to do their best for their children even at the expense of their own well-being) Men 50-59 60-69 70-79 80+ TotalStrongly agree 103 71 57 19 251Agree 125 101 51 13 290Neither agree nor disagree 39 24 13 9 85Disagree 25 20 7 2 54Strongly disagree 15 5 6 2 28Missing 3 8 3 0 13Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalStrongly agree 100 89 110 40 340Agree 121 110 89 44 364Neither agree nor disagree 50 30 31 17 128Disagree 50 34 11 7 102Strongly disagree 18 8 3 3 33Missing 7 4 6 4 20Total 346 275 250 116 987 Table Q6_b: Grandparents be there for grandchildren “The following statements are related to the duties people may have in their family. Please tell us how much you agree or disagree with each statement.” (Grandparents’ duty is to be there for grandchildren in cases of difficulty (such as divorce of parents or illness)) Men 50-59 60-69 70-79 80+ TotalStrongly agree 62 64 38 11 175Agree 134 90 47 21 292Neither agree nor disagree 70 29 30 10 139Disagree 30 24 12 1 67Strongly disagree 11 13 7 2 34Missing 3 9 3 0 15Total 309 230 136 46 721

388

Women 50-59 60-69 70-79 80+ Total Strongly agree 85 82 90 37 294 Agree 174 114 94 43 425 Neither agree nor disagree 43 53 43 21 160 Disagree 29 14 11 5 60 Strongly disagree 7 8 6 1 22 Missing 8 4 6 9 26 Total 346 275 250 116 987 Table Q6_c: Grandparents help grandchildren financially “The following statements are related to the duties people may have in their family. Please tell us how much you agree or disagree with each statement.” (Grandparents’ duty is to contribute towards the economic security of grandchildren and their families) Men 50-59 60-69 70-79 80+ Total Strongly agree 20 24 15 9 68 Agree 81 53 40 10 184 Neither agree nor disagree 98 62 40 19 219 Disagree 69 51 22 4 146 Strongly disagree 39 32 17 3 91 Missing 3 9 3 0 14 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Strongly agree 26 28 19 17 90 Agree 78 66 89 29 262 Neither agree nor disagree 90 78 67 31 266 Disagree 103 66 42 23 235 Strongly disagree 42 32 25 7 105 Missing 8 5 7 9 29 Total 346 275 250 116 987 Table Q6_d: Grandparents look after young grandchildren “The following statements are related to the duties people may have in their family. Please tell us how much you agree or disagree with each statement.” (Grandparents’ duty is to help grandchildren’s parents in looking after young grandchildren) Men 50-59 60-69 70-79 80+ Total Strongly agree 32 34 29 8 103 Agree 115 92 42 16 265 Neither agree nor disagree 98 39 39 14 190 Disagree 35 33 15 4 87 Strongly disagree 26 24 9 3 62 Missing 3 9 3 0 14 Total 309 230 136 46 721

Women 50-59 60-69 70-79 80+ Total Strongly agree 47 50 56 24 177 Agree 136 94 95 46 370 Neither agree nor disagree 70 60 54 26 210 Disagree 59 43 24 9 135 Strongly disagree 27 23 14 3 67 Missing 8 5 8 8 29 Total 346 275 250 116 987

389

Table Q7_a: Financial support “In your opinion, who – the family or the State – should bear the responsibility for financial support for older persons who are in need?” Men 50-59 60-69 70-79 80+ TotalTotally family 4 5 3 0 11Mainly family 28 20 17 6 70Both equally 128 105 66 22 321Mainly state 111 77 35 16 239Totally state 33 17 11 2 63Missing 5 7 5 0 17Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalTotally family 0 4 5 1 9Mainly family 22 20 27 20 89Both equally 181 132 110 57 480Mainly state 111 88 72 23 293Totally state 26 27 29 10 91Missing 6 5 8 5 24Total 346 275 250 116 987 Table Q7_b: Help with household chores “In your opinion, who – the family or the State – should bear the responsibility for help with household chores for older persons who are in need such as help with cleaning, washing?” Men 50-59 60-69 70-79 80+ TotalTotally family 6 9 4 0 19Mainly family 107 72 47 16 241Both equally 135 103 59 23 320Mainly state 43 31 15 4 92Totally state 15 9 7 2 33Missing 4 7 5 0 16Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalTotally family 6 12 9 3 30Mainly family 119 81 89 34 322Both equally 171 126 102 52 451Mainly state 30 40 23 13 106Totally state 13 14 16 7 49Missing 7 4 11 7 29Total 346 275 250 116 987 Table Q7_c: Personal care In your opinion, who – the family or the State – should bear the responsibility for personal care for older persons who are in need such as nursing or help with bathing or dressing?” Men 50-59 60-69 70-79 80+ TotalTotally family 3 5 6 3 16Mainly family 50 48 28 3 130Both equally 169 108 65 29 371Mainly state 66 48 25 7 145Totally state 16 13 9 3 42Missing 5 8 4 0 17Total 309 230 136 46 721

390

Women 50-59 60-69 70-79 80+ Total Totally family 6 8 8 3 25 Mainly family 64 45 56 24 189 Both equally 210 148 121 53 533 Mainly state 46 53 40 21 160 Totally state 13 15 16 8 52 Missing 7 5 9 7 28 Total 346 275 250 116 987 Table Q8_a: Conflict with parents “There are sometimes important questions about which we have a disagreement with persons close to us, and which therefore may lead to conflicts. Please tell us how often, if at all, you experience conflict with each of the following persons.” (Parents) Men 50-59 60-69 70-79 80+ Total Often 18 9 10 1 38 Sometimes 76 43 20 10 149 Rarely 107 60 30 11 207 Never 55 46 17 6 123 Does not apply 49 58 49 18 173 Missing 6 14 11 0 30 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 19 16 8 1 44 Sometimes 85 54 29 15 183 Rarely 110 76 62 29 278 Never 59 51 55 24 189 Does not apply 66 61 80 34 240 Missing 7 17 17 12 53 Total 346 275 250 116 987 Table Q8_b: Conflict with parents-in-law There are sometimes important questions about which we have a disagreement with persons close to us, and which therefore may lead to conflicts. Please tell us how often, if at all, you experience conflict with each of the following persons.”(Parents-in-law) Men 50-59 60-69 70-79 80+ Total Often 11 10 4 0 25 Sometimes 69 36 16 7 128 Rarely 84 44 29 8 164 Never 72 52 21 8 153 Does not apply 67 69 53 22 211 Missing 6 18 14 1 39 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 22 19 6 5 53 Sometimes 53 37 34 15 140 Rarely 74 59 48 15 196 Never 69 61 51 23 205 Does not apply 112 78 88 45 322 Missing 15 22 23 12 72 Total 346 275 250 116 987

391

Table Q8_c: Conflict with partner There are sometimes important questions about which we have a disagreement with persons close to us, and which therefore may lead to conflicts. Please tell us how often, if at all, you experience conflict with each of the following persons.” (Partner/Spouse) Men 50-59 60-69 70-79 80+ TotalOften 19 16 7 1 42Sometimes 93 86 36 14 230Rarely 132 73 48 13 266Never 30 30 18 4 82Does not apply 29 16 22 11 78Missing 6 9 6 1 23Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 42 28 15 5 90Sometimes 119 86 63 31 298Rarely 104 73 77 29 283Never 23 29 25 13 90Does not apply 51 41 57 27 176Missing 6 19 14 10 48Total 346 275 250 116 987 Table Q8_d: Conflict with children “There are sometimes important questions about which we have a disagreement with persons close to us, and which therefore may lead to conflicts. Please tell us how often, if at all, you experience conflict with each of the following persons.” (Children) Men 50-59 60-69 70-79 80+ TotalOften 15 11 6 1 33Sometimes 104 68 41 11 224Rarely 110 76 43 14 243Never 30 30 20 8 87Does not apply 45 33 21 10 108Missing 6 13 6 1 26Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalOften 21 18 6 2 47Sometimes 130 78 87 29 325Rarely 119 92 85 29 326Never 22 29 30 20 100Does not apply 45 42 31 25 143Missing 7 16 13 10 45Total 346 275 250 116 987 Table Q8_e: Conflict with other family members “There are sometimes important questions about which we have a disagreement with persons close to us, and which therefore may lead to conflicts. Please tell us how often, if at all, you experience conflict with each of the following persons.” (Other family members) Men 50-59 60-69 70-79 80+ TotalOften 6 0 4 1 11Sometimes 68 37 23 9 137Rarely 151 108 52 21 332Never 58 50 28 8 144Does not apply 19 19 21 7 66Missing 6 16 9 0 31Total 309 230 136 46 721

392

Women 50-59 60-69 70-79 80+ Total Often 6 10 2 2 20 Sometimes 71 43 31 16 160 Rarely 157 119 91 32 399 Never 82 61 73 38 254 Does not apply 24 21 31 13 89 Missing 7 21 22 14 64 Total 346 275 250 116 987 Table Q8_f: Conflict with friends “There are sometimes important questions about which we have a disagreement with persons close to us, and which therefore may lead to conflicts. Please tell us how often, if at all, you experience conflict with each of the following persons.” (Friends, coworkers, acquaintainces) Men 50-59 60-69 70-79 80+ Total Often 6 2 1 0 10 Sometimes 79 51 22 9 161 Rarely 167 105 55 19 346 Never 40 43 39 14 136 Does not apply 11 16 14 3 44 Missing 6 13 6 0 25 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 6 2 2 2 13 Sometimes 80 45 37 12 173 Rarely 173 128 81 28 411 Never 68 72 88 52 281 Does not apply 10 11 27 9 57 Missing 8 17 15 12 52 Total 346 275 250 116 987 Table Q9: Conflict upbringing of grandchildren “How often do you experience conflicts with your children or children-in-law over the eduction and bringing up of your grandchildren?” Men 50-59 60-69 70-79 80+ Total Often 5 4 2 0 11 Sometimes 28 25 19 3 75 Rarely 75 49 39 10 172 Never 62 68 41 14 185 Does not apply 136 78 34 17 264 Missing 5 7 2 1 15 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Often 14 5 2 2 24 Sometimes 18 25 30 4 77 Rarely 85 65 49 17 217 Never 71 88 101 46 305 Does not apply 150 81 58 38 328 Missing 7 11 10 8 36 Total 346 275 250 116 987 Table Q10: Have a partner “Do you or did you ever share a household with a husband, wife or partner?” Men 50-59 60-69 70-79 80+ Total Yes 279 206 122 41 648 No 24 17 12 4 57 Missing 6 7 2 0 16 Total 309 230 136 46 721

393

Women 50-59 60-69 70-79 80+ TotalYes 316 246 218 98 878No 25 20 22 10 76Missing 5 10 10 8 32Total 346 275 250 116 987 Table Q11_a: Bring up children “Who in the couple takes or took the main responsibility for bringing up children?” Men 50-59 60-69 70-79 80+ TotalMyself only 1 1 1 0 3Myself mainly 4 2 4 1 11Myself/partner equally 120 76 49 13 257My partner mainly 101 79 32 11 223My partner only 19 18 20 4 61Does not apply 65 53 31 16 165Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalMyself only 62 50 65 26 203Myself mainly 133 96 86 33 348Myself/partner equally 82 58 49 23 212My partner mainly 3 2 1 0 6My partner only 0 2 0 0 2Does not apply 65 68 49 34 216Total 346 275 250 116 987 Table Q11_b: Earn money “Who in the couple takes or took the main responsibility for earning money?” Men 50-59 60-69 70-79 80+ TotalMyself only 35 43 34 11 123Myself mainly 96 68 45 20 229Myself/partner equally 141 88 36 10 275My partner mainly 5 4 2 0 11Does not apply 32 27 20 4 83Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalMyself only 7 5 9 2 23Myself mainly 14 9 6 1 30Myself/partner equally 184 128 85 37 434My partner mainly 74 58 73 24 229My partner only 32 33 40 25 131Does not apply 34 43 38 26 140Total 346 275 250 116 987 Table Q11_c: Household chores “Who in the couple takes or took the main responsibility for cooking, cleaning the house, laundry and ironing?” Men 50-59 60-69 70-79 80+ TotalMyself only 0 1 1 1 3Myself mainly 4 6 2 1 13Myself/partner equally 60 31 20 6 116My partner mainly 149 109 49 19 326My partner only 63 57 49 14 184Does not apply 33 26 16 4 80Total 309 230 136 46 721

394

Women 50-59 60-69 70-79 80+ Total Myself only 130 116 129 52 428 Myself mainly 142 99 74 28 344 Myself/partner equally 37 24 13 13 87 My partner mainly 2 2 2 0 7 My partner only 2 2 0 0 4 Does not apply 32 32 32 22 118 Total 346 275 250 116 987 Table Q11_d: Care for elderly “Who in the couple takes or took the main responsibility for caring for elderly?” Men 50-59 60-69 70-79 80+ Total Myself only 1 2 1 0 5 Myself mainly 4 0 2 0 6 Myself/partner equally 47 34 23 8 112 My partner mainly 46 46 13 3 108 My partner only 15 17 15 8 55 Does not apply 195 131 82 27 436 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Myself only 44 42 35 10 131 Myself mainly 62 45 47 15 169 Myself/partner equally 43 37 21 13 113 My partner mainly 3 1 1 1 6 My partner only 2 1 0 0 3 Does not apply 190 151 146 76 564 Total 346 275 250 116 987 Table Q12: General practitioner “In the following, we are interested in aspects of medical advice and prevention. Do you have a general practitioner (i.e. a doctor you usually turn to for your common health problems)?” Men 50-59 60-69 70-79 80+ Total Yes 269 209 123 41 642 No 30 11 9 4 54 Missing 10 10 4 0 24 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 320 256 233 107 915 No 18 9 14 1 42 Missing 8 11 3 8 30 Total 346 275 250 116 987 Table Q13_a: Ask about physical activity “How often does your general practitioner ask how much physical activity you do?” Men 50-59 60-69 70-79 80+ Total At every visit 27 32 29 8 95 At some visits 141 95 58 18 311 Never 106 81 38 16 240 Does not apply 30 11 9 4 54 Missing 6 11 3 0 20 Total 309 230 136 46 721

395

Women 50-59 60-69 70-79 80+ TotalAt every visit 30 32 31 22 115At some visits 142 118 120 49 429Never 149 101 77 33 359Does not apply 18 9 14 1 42Missing 7 16 9 11 43Total 346 275 250 116 987 Table Q13_b: Tell to get exercise “How often does your general practitioner tell you that you should get regular exercise?” Men 50-59 60-69 70-79 80+ TotalAt every visit 31 30 25 8 93At some visits 118 86 55 11 269Never 126 89 42 21 278Does not apply 30 11 9 4 54Missing 5 14 6 1 26Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAt every visit 31 31 35 17 115At some visits 128 95 94 43 360Never 161 123 94 41 419Does not apply 18 9 14 1 42Missing 7 18 14 13 51Total 346 275 250 116 987 Table Q13_c: Ask about falling down “How often does your general practitioner ask you about falling down?” Men 50-59 60-69 70-79 80+ TotalAt every visit 6 23 17 10 56At some visits 70 44 37 11 162Never 196 140 69 20 424Does not apply 30 11 9 4 54Missing 6 13 5 0 24Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalAt every visit 17 15 27 17 78At some visits 54 67 70 52 243Never 249 167 128 34 578Does not apply 18 9 14 1 42Missing 7 18 11 11 47Total 346 275 250 116 987 Table Q13_d: Check balance “How often does your general practitioner check your balance or the way you walk? Men 50-59 60-69 70-79 80+ TotalAt every visit 13 16 23 11 62At some visits 66 52 30 11 158Never 195 139 69 18 420Does not apply 30 11 9 4 54Missing 6 13 6 1 26Total 309 230 136 46 721

396

Women 50-59 60-69 70-79 80+ Total At every visit 22 20 33 20 94 At some visits 53 67 70 52 241 Never 246 163 121 34 564 Does not apply 18 9 14 1 42 Missing 7 17 13 9 45 Total 346 275 250 116 987 Table Q13_e: Check weight “How often does your general practitioner check your weight?” Men 50-59 60-69 70-79 80+ Total At every visit 28 32 22 8 89 At some visits 130 91 59 20 300 Never 115 86 43 13 257 Does not apply 30 11 9 4 54 Missing 6 11 4 0 21 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total At every visit 29 36 26 14 105 At some visits 122 113 108 51 394 Never 167 101 93 36 397 Does not apply 18 9 14 1 42 Missing 9 16 10 13 49 Total 346 275 250 116 987 Table Q13_f: Ask about drugs “How often does your general practitioner ask you about any drugs you take, either bought over-the-counter or drugs prescribed by another doctor?” Men 50-59 60-69 70-79 80+ Total At every visit 35 32 27 11 104 At some visits 100 79 52 20 250 Never 139 99 44 10 291 Does not apply 30 11 9 4 54 Missing 6 10 5 0 22 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total At every visit 38 35 46 22 140 At some visits 122 108 95 46 371 Never 161 108 83 37 390 Does not apply 18 9 14 1 42 Missing 7 15 13 10 45 Total 346 275 250 116 987 Table Q14: Had flu vaccination “In the last year, have you had a flu vaccination?” Men 50-59 60-69 70-79 80+ Total Yes 79 78 65 19 241 No 227 146 71 25 468 Missing 4 6 0 2 12 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 77 99 93 55 324 No 262 172 152 56 642 Missing 7 4 6 5 22 Total 346 275 250 116 987

397

Table Q15: Advised to have flu vaccination “In the last year, were you advised by any doctor to have a flu vaccination?” Men 50-59 60-69 70-79 80+ TotalYes 35 25 12 2 75No 191 113 57 22 383Does not apply 79 78 64 19 240Missing 4 14 3 2 23Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 37 31 32 11 111No 224 136 113 39 512Does not apply 77 99 93 55 324Missing 7 9 13 11 40Total 346 275 250 116 987 Table Q16: Eye exam “In the last two years, have you had an eye exam performed by an eye care professional such as an ophthalmologist or optometrist?” Men 50-59 60-69 70-79 80+ TotalYes 186 128 72 29 415No 118 96 63 14 292Missing 5 6 1 2 14Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 218 180 169 83 650No 122 94 77 29 322Missing 6 2 5 3 15Total 346 275 250 116 987 Table Q17: Mammogram “If you are a woman: In the last two years, have you had a mammogram (x-ray of the breast)?” Men 50-59 60-69 70-79 80+ TotalYes 5 4 6 2 17No 1 5 1 0 7Does not apply 303 221 129 43 697Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 266 184 94 31 575No 69 85 151 80 385Does not apply 10 6 6 5 28Total 346 275 250 116 987 Table Q18: Advised to have colonoscopy “Some health care providers do tests such as sigmoidoscopy or colonoscopy to check for colon cancer. In the past ten years, did a health care provider ever recommend any of these tests?” Men 50-59 60-69 70-79 80+ TotalYes 80 70 46 11 207No 221 154 88 32 496Missing 8 6 2 2 18Total 309 230 136 46 721

398

Women 50-59 60-69 70-79 80+ Total Yes 81 92 93 35 301 No 259 178 151 74 662 Missing 6 5 7 7 24 Total 346 275 250 116 987 Table Q19: Ever had colonoscopy “Have you ever had a sigmoidoscopy or colonoscopy? If so, about how long ago did you have the most recent one?” Men 50-59 60-69 70-79 80+ Total Less than 10 yrs ago 63 57 39 10 169 10 or more yrs ago 25 31 21 9 85 Never 215 133 75 26 447 Missing 6 9 2 1 19 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Less than 10 yrs ago 65 79 82 33 259 10 or more yrs ago 32 34 29 17 112 Never 242 158 134 59 593 Missing 7 5 6 7 24 Total 346 275 250 116 987 Table Q20: Had stool blood test “Another test detects hidden blood in your stool. For this test, you put a small stool sample on a special card. In the last ten years, have you had this test?” Men 50-59 60-69 70-79 80+ Total Yes 173 141 84 26 424 No 130 82 50 19 281 Missing 6 7 2 1 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 200 172 154 60 586 No 140 99 91 49 379 Missing 6 5 5 7 22 Total 346 275 250 116 987 Table Q21: Advised to have stool blood test “In the last ten years, did a health care provider ever recommend this test?” Men 50-59 60-69 70-79 80+ Total Yes 11 7 3 1 22 No 118 75 44 17 253 Does not apply 173 141 84 26 424 Missing 6 8 5 2 21 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 7 11 5 0 22 No 129 84 86 48 347 Does not apply 200 172 154 60 586 Missing 9 9 6 8 32 Total 346 275 250 116 987

399

Table Q22: Joint pain “Have you been bothered by pain in hips, knees or other joints (upper or lower limbs) for at least 6 months?” Men 50-59 60-69 70-79 80+ TotalYes 131 97 67 20 315No 174 126 69 25 395Missing 4 6 0 1 11Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 138 153 166 65 523No 200 118 81 47 446Missing 7 5 3 3 18Total 346 275 250 116 987 Table Q23_a: Pain in hips “Can you specify the location of your joint pain?” (Pain in hips) Men 50-59 60-69 70-79 80+ TotalNot ticked 80 59 40 14 193Ticked 51 38 27 6 122Does not apply 174 126 69 25 395Missing 4 6 0 1 11Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalNot ticked 85 84 97 43 309Ticked 54 69 69 23 214Does not apply 200 118 81 47 446Missing 7 5 3 3 18Total 346 275 250 116 987 Table Q23_b: Pain in knees “Can you specify the location of your joint pain?” (Pain in hips) Men 50-59 60-69 70-79 80+ TotalNot ticked 60 45 33 10 147Ticked 71 52 34 10 168Does not apply 174 126 69 25 395Missing 4 6 0 1 11Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalNot ticked 77 75 85 35 271Ticked 62 78 81 31 252Does not apply 200 118 81 47 446Missing 7 5 3 3 18Total 346 275 250 116 987 Table Q23_c: Pain in other joints “Can you specify the location of your joint pain?” Pain in other joints (Upper or lower limbs) Men 50-59 60-69 70-79 80+ TotalNot ticked 56 36 25 10 127Ticked 75 61 42 10 188Does not apply 174 126 69 25 395Missing 4 6 0 1 11Total 309 230 136 46 721

400

Women 50-59 60-69 70-79 80+ Total Not ticked 35 57 50 21 163 Ticked 103 96 115 45 359 Does not apply 200 118 81 47 446 Missing 7 5 3 3 18 Total 346 275 250 116 987 Table Q24: Joint pain on most days “Do you have joint pain on most days?” Men 50-59 60-69 70-79 80+ Total Yes 86 58 31 10 185 No 45 40 35 10 130 Does not apply 174 126 69 25 395 Missing 4 5 1 1 11 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 98 99 95 39 331 No 44 53 64 24 185 Does not apply 200 118 81 47 446 Missing 3 5 10 5 25 Total 346 275 250 116 987 Table Q25: Drugs for joint pain “Do you currently take drugs for your joints pain?” Men 50-59 60-69 70-79 80+ Total Yes 43 33 25 9 109 No 88 66 41 11 206 Does not apply 174 126 69 25 395 Missing 4 5 1 1 11 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 48 66 99 38 252 No 93 87 58 24 262 Does not apply 200 118 81 47 446 Missing 5 5 11 7 27 Total 346 275 250 116 987 Table Q26: Join pain controlled “Is the pain controlled when you take drugs?” Men 50-59 60-69 70-79 80+ Total Yes 9 13 2 3 27 Somewhat 34 19 22 6 80 No 1 2 1 0 4 Does not apply 263 192 110 36 601 Missing 3 5 1 1 9 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 17 23 26 10 76 Somewhat 31 41 69 26 167 No 1 0 1 0 2 Does not apply 293 205 139 71 708 Missing 3 6 15 9 33 Total 346 275 250 116 987

401

Table Q27: Tell gp about joint pain “Did you tell your general practitioner or any other doctor about your joint pain?” Men 50-59 60-69 70-79 80+ TotalYes 116 81 54 20 271No 16 16 12 1 46Does not apply 174 126 69 25 395Missing 3 6 1 0 10Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 126 132 139 53 451No 16 20 18 8 62Does not apply 200 118 81 47 446Missing 3 6 11 8 29Total 346 275 250 116 987 Table Q28_a: Did general practitioner check joints “When you told the doctor about your pain, did he or she check your joints?” Men 50-59 60-69 70-79 80+ TotalYes 107 73 45 19 244No 8 6 8 0 22Does not apply 191 143 81 26 441Missing 4 8 2 1 15Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 102 110 127 41 380No 21 16 10 7 54Does not apply 216 138 99 55 508Missing 7 12 14 13 46Total 346 275 250 116 987 Table Q28_b: Did general practitioner suggest treatment “When you told the doctor about your pain, did he or she suggest a drug treatment for this pain?” Men 50-59 60-69 70-79 80+ TotalYes 68 49 33 12 161No 45 27 17 7 95Does not apply 191 143 81 26 441Missing 6 12 5 1 24Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 87 102 114 45 348No 36 25 22 9 92Does not apply 216 138 99 55 508Missing 7 10 15 8 39Total 346 275 250 116 987 Table Q28_c: Did general practitioner tell about side effects “When you told the doctor about your pain, did he or she tell you about the possible side effects or risks from anti/inflammatories?” Men 50-59 60-69 70-79 80+ TotalYes 54 35 24 7 120No 55 39 27 11 132Does not apply 191 143 81 26 441Missing 10 13 4 2 29Total 309 230 136 46 721

402 Women 50-59 60-69 70-79 80+ Total Yes 55 73 73 25 226 No 64 51 63 24 203 Does not apply 216 138 99 55 508 Missing 10 14 15 12 51 Total 346 275 250 116 987 Table Q29_a: Ever had physiotherapy “Have you ever been sent to physiotherapy or an exercise program for your joint pain?” Men 50-59 60-69 70-79 80+ Total Yes 74 50 33 11 167 No 42 30 21 8 100 Does not apply 191 143 81 26 441 Missing 3 8 1 1 12 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 91 90 88 21 289 No 35 40 54 33 162 Does not apply 216 138 99 55 508 Missing 3 8 9 8 28 Total 346 275 250 116 987 Table Q29_b: Ever suggested surgery “Have you ever been told by a doctor that you should have surgery or joint replacement for the pain that you presently have?” Men 50-59 60-69 70-79 80+ Total Yes 33 21 14 2 70 No 81 57 40 17 195 Does not apply 191 143 81 26 441 Missing 5 9 1 1 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 25 40 39 15 119 No 99 89 102 36 325 Does not apply 216 138 99 55 508 Missing 6 9 10 10 35 Total 346 275 250 116 987 Table Q29_c: Ever been send to orthopeadic surgeon “Have you ever been sent by a doctor to an orthopaedic surgeon for the joint pain that you presently have?” Men 50-59 60-69 70-79 80+ Total Yes 80 53 38 13 184 No 33 27 15 6 81 Does not apply 191 143 81 26 441 Missing 5 7 2 1 15 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 94 88 106 34 322 No 29 40 35 19 123 Does not apply 216 138 99 55 508 Missing 6 10 9 9 34 Total 346 275 250 116 987

403

Table Q30_a: Indoor bath “Does your accommodation have an indoor bath or shower only for your household’s personal use?” Men 50-59 60-69 70-79 80+ TotalYes 302 224 132 42 700No 5 2 3 3 13Missing 3 5 1 0 8Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 339 270 241 105 955No 3 5 5 4 17Missing 3 1 5 7 15Total 346 275 250 116 987

Table Q30_b: Indoor toilet “Does your accommodation have an indoor flushing toilet only for your household’s personal use?” Men 50-59 60-69 70-79 80+ TotalYes 295 220 133 40 688No 11 6 2 4 23Missing 3 5 1 1 9Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 334 271 244 104 952No 8 4 3 3 19Missing 3 1 3 9 16Total 346 275 250 116 987

Table Q30_c: Central heating “Does your accommodation have central heating?” Men 50-59 60-69 70-79 80+ TotalYes 281 206 113 32 632No 26 20 22 12 79Missing 3 5 1 1 9Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 305 237 201 88 832No 37 38 45 20 139Missing 3 1 5 8 16Total 346 275 250 116 987 Table Q30_d: Air condition “Does your accommodation have air condition?” Men 50-59 60-69 70-79 80+ TotalYes 16 9 5 1 31No 284 211 130 43 669Missing 9 10 1 1 21Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 14 11 11 0 36No 323 261 224 106 914Missing 8 4 15 10 37Total 346 275 250 116 987

404

Table Q30_e: Elevator “Does your accommodation have an elevator?” Men 50-59 60-69 70-79 80+ Total Yes 51 37 26 11 125 No 251 184 109 33 577 Missing 8 10 1 1 19 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 74 47 35 24 181 No 263 223 200 83 769 Missing 8 5 15 9 37 Total 346 275 250 116 987 Table Q30_f: Balcony, terrace or garden “Does your accommodation have a balcony, terrace or garden?” Men 50-59 60-69 70-79 80+ Total Yes 263 204 110 31 609 No 44 21 25 14 104 Missing 3 5 1 0 8 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 282 236 197 84 798 No 59 38 50 23 170 Missing 5 2 3 9 18 Total 346 275 250 116 987 Table Q31_a: Not enough space “Further, with respect to your accommodation, would you say it has not enough space?” Men 50-59 60-69 70-79 80+ Total Yes 21 11 9 4 46 No 283 210 124 41 658 Missing 5 9 3 0 17 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 22 16 13 5 56 No 316 253 224 104 897 Missing 7 7 14 7 34 Total 346 275 250 116 987 Table Q31_b: Costs too much “Further, with respect to your accommodation, would you say it costs too much?” Men 50-59 60-69 70-79 80+ Total Yes 48 32 20 3 103 No 257 187 112 41 597 Missing 5 11 4 1 21 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 58 43 41 11 153 No 280 224 198 98 799 Missing 8 9 11 7 35 Total 346 275 250 116 987

405

Table Q31_c: Has not enough light “Further, with respect to your accommodation, would you say it has not enough light?” Men 50-59 60-69 70-79 80+ TotalYes 32 20 19 3 74No 268 200 112 41 622Missing 9 10 5 1 25Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 44 34 17 11 106No 295 233 223 97 848Missing 7 8 10 8 33Total 346 275 250 116 987

Table Q31_d: Insufficient heating or cooling “Further, with respect to your accommodation, would you say it has insufficient heating or cooling facilities?” Men 50-59 60-69 70-79 80+ TotalYes 35 15 12 4 66No 268 204 120 40 632Missing 6 11 4 1 23Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 27 24 19 15 85No 313 243 218 91 865Missing 6 9 13 10 37Total 346 275 250 116 987 Table Q32_a: Sufficient supply of facilities “And, how about the area immediately surrounding your accommodation, would you say it has sufficient supply of facilities such as pharmacy, medical care, grocery and the like within reasonable distance?” Men 50-59 60-69 70-79 80+ TotalYes 283 196 119 40 638No 23 25 13 6 66Missing 4 9 4 0 17Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 304 239 208 94 845No 36 32 37 17 122Missing 6 5 6 4 20Total 346 275 250 116 987 Table Q32_b: Sufficient public transport “And, how about the area immediately surrounding your accommodation, would you say it has sufficient possibilities for public transportation?” Men 50-59 60-69 70-79 80+ TotalYes 237 167 115 38 557No 68 53 14 8 144Missing 4 10 7 0 20Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalYes 265 215 205 97 782No 73 53 40 13 180Missing 7 8 6 5 26Total 346 275 250 116 987

406

Table Q32_c : Pollution, noise “And, how about the area immediately surrounding your accommodation, would you say it has pollution, noise or other environmental problems?” Men 50-59 60-69 70-79 80+ Total Yes 73 40 34 12 159 No 232 183 98 32 546 Missing 4 7 4 1 16 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 81 57 59 22 219 No 259 212 185 88 745 Missing 6 6 6 5 23 Total 346 275 250 116 987

Table Q32_d: Vandalism, crime “And, how about the area immediately surrounding your accommodation, would you say it suffers from vandalism or crime?” Men 50-59 60-69 70-79 80+ Total Yes 22 19 6 7 53 No 283 202 126 38 649 Missing 4 10 4 1 18 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 42 23 22 13 100 No 297 245 221 95 857 Missing 7 8 8 8 30 Total 346 275 250 116 987 Table Q33_a: Dog “Do you currently have one or more of the following pets in your household?” (Dog) Men 50-59 60-69 70-79 80+ Total Not ticked 250 192 127 42 612 Ticked 59 38 9 3 109 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Not ticked 280 234 210 110 834 Ticked 66 42 40 5 153 Total 346 275 250 116 987 Table Q33_b: Cat “Do you currently have one or more of the following pets in your household?” (Cat) Men 50-59 60-69 70-79 80+ Total Not ticked 222 163 104 37 525 Ticked 88 68 32 9 196 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Not ticked 223 193 177 100 694 Ticked 122 82 73 15 293 Total 346 275 250 116 987

407

Table Q33_c: Bird “Do you currently have one or more of the following pets in your household?” (Bird) Men 50-59 60-69 70-79 80+ TotalNot ticked 303 226 133 46 708Ticked 6 4 3 0 13Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalNot ticked 340 272 244 115 969Ticked 6 4 7 1 18Total 346 275 250 116 987 Table Q33_d: Fish “Do you currently have one or more of the following pets in your household?” (Fish) Men 50-59 60-69 70-79 80+ TotalNot ticked 309 230 136 46 721Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalNot ticked 346 275 250 116 986Ticked 0 1 0 0 1Total 346 275 250 116 987 Table Q33_e: Other “Do you currently have one or more of the following pets in your household?” (Other pets) Men 50-59 60-69 70-79 80+ TotalNot ticked 299 223 133 46 701Ticked 10 7 3 0 20Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalNot ticked 330 268 247 115 960Ticked 15 8 3 1 27Total 346 275 250 116 987Table Q33_f: No pets “Do you currently have one or more of the following pets in your household?” (No pets) Men 50-59 60-69 70-79 80+ TotalNot ticked 159 113 47 11 330Ticked 150 117 89 35 391Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalNot ticked 194 126 99 24 444Ticked 152 149 151 92 543Total 346 275 250 116 987 Table Q35: How often do you pray “Thinking about the present, about how often do you pray?” Men 50-59 60-69 70-79 80+ TotalMore than once a day 11 7 7 2 27Once daily or almost daily 14 19 16 9 57A couple of times a week 27 28 19 4 79Once a week 31 37 30 8 106Less than once a week 112 55 25 9 200Never 110 75 35 13 233Missing 4 9 5 0 18Total 309 230 136 46 721

408 Women 50-59 60-69 70-79 80+ Total More than once a day 23 22 30 20 94 Once daily or almost daily 71 64 77 43 254 A couple of times a week 63 54 55 21 192 Once a week 50 41 27 7 126 Less than once a week 94 57 34 13 199 Never 37 30 24 9 100 Missing 7 7 3 4 22 Total 346 275 250 116 987 Table Q36: Educated religiously “Have you been educated religiously by your parents?” Men 50-59 60-69 70-79 80+ Total Yes 225 171 106 38 540 No 80 46 25 8 158 Missing 5 13 5 0 23 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Yes 269 226 203 93 791 No 69 46 37 16 168 Missing 7 4 10 7 28 Total 346 275 250 116 987 Table Q5_a: Balance within partnership “I have always been satisfied with the balance between what I have given my partner and what I have received in return.” Men 50-59 60-69 70-79 80+ Total Strongly agree 111 71 52 18 251 Agree 132 110 59 17 317 Neither agree nor disagree 28 20 11 6 64 Disagree 11 10 2 0 24 Strongly disagree 4 2 1 0 7 Does not apply 20 11 9 6 45 Missing 4 6 3 0 13 Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ Total Strongly agree 78 58 73 34 244 Agree 130 102 89 35 356 Neither agree nor disagree 43 44 27 24 139 Disagree 37 24 8 3 73 Strongly disagree 12 8 10 1 32 Does not apply 37 35 33 15 120 Missing 7 5 9 3 24 Total 346 275 250 116 987 Table Q5_b: Received adequate appreciation “I have always received adequate appreciation for providing help in my family.” Men 50-59 60-69 70-79 80+ Total Strongly agree 87 69 48 17 220 Agree 145 101 61 22 329 Neither agree nor disagree 50 34 15 3 102 Disagree 13 10 4 1 28 Strongly disagree 3 2 1 0 6 Does not apply 11 8 4 2 25 Missing 1 5 4 0 11 Total 309 230 136 46 721

409

Women 50-59 60-69 70-79 80+ TotalStrongly agree 79 74 80 39 273Agree 147 117 118 45 426Neither agree nor disagree 57 42 24 19 141Disagree 38 23 13 5 79Strongly disagree 5 5 3 2 16Does not apply 15 10 6 3 34Missing 6 4 7 2 19Total 346 275 250 116 987 Table Q5_c: Balance in major activity “In my current major activity (job, looking after home, voluntary work) I have always been satisfied with the rewards I received for my efforts.” Men 50-59 60-69 70-79 80+ TotalStrongly agree 59 44 29 10 141Agree 160 112 59 19 349Neither agree nor disagree 59 48 40 12 159Disagree 20 12 4 1 37Strongly disagree 9 1 1 1 12Missing 3 14 4 2 23Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalStrongly agree 71 64 65 20 220Agree 174 140 102 50 466Neither agree nor disagree 61 48 59 26 195Disagree 29 13 9 7 58Strongly disagree 3 5 2 8 18Missing 7 5 13 5 30Total 346 275 250 116 987 Table Q5_d: Seriously disappointed “I have been seriously disappointed or hurt by someone to whom I gave my trust.” Men 50-59 60-69 70-79 80+ TotalStrongly agree 18 15 10 2 45Agree 60 32 29 7 128Neither agree nor disagree 91 57 31 13 192Disagree 77 70 38 12 198Strongly disagree 62 45 25 10 142Missing 1 10 4 1 17Total 309 230 136 46 721 Women 50-59 60-69 70-79 80+ TotalStrongly agree 44 45 21 9 118Agree 76 50 34 12 172Neither agree nor disagree 77 49 51 23 201Disagree 97 72 83 32 283Strongly disagree 43 55 48 34 180Missing 8 5 13 7 32Total 346 275 250 116 987 Table Q38_a: Sex “Finally, please state your sex.” 50-59 60-69 70-79 80+ TotalMale 309 230 136 46 721Female 346 275 250 116 987Total 655 505 386 162 1,708

410

Table Q38_b: Birth year “Finally, please state your birth year.” Men 50-59 60-69 70-79 80+ Total 1900-1909 0 0 0 1 1 1910-1919 0 0 0 12 12 1920-1929 0 0 61 32 93 1930-1939 0 113 75 0 188 1940-1949 165 117 0 0 283 1950-1959 144 0 0 0 144 Total 309 230 136 46 721 Remark: The values range from 1909 to 1964. Women 50-59 60-69 70-79 80+ Total 1900-1909 0 0 0 3 3 1910-1919 0 0 0 37 37 1920-1929 0 0 112 74 186 1930-1939 0 130 137 1 268 1940-1949 212 145 1 0 358 1950-1959 134 0 0 0 134 Total 346 275 250 116 987 Remark: The values range from 1904 to 1969.

411

4 Annexes

4.1 Show cards (generic version)

CARD 1

1. Spouse 2. Partner 3. Child 4. Child-in-law 5. Parent 6. Parent-in-law 7. Sibling 8. Grand-child 9. Other relative (specify) 10. Other non-relative (specify)

CARD 2 1. Comprehensive school 2. Grammar school (not fee-paying) 3. Fee-paying grammar school 4. Sixth form College/Tertiary College 5. Public or other private school 6. Elementary school 7. Secondary modern/secondary school 8. Technical school (not college) 95. No degree yet/still in school 96. None 97. Other type (also abroad)

CARD 3 1. Nurses' training school 2. College of further/higher education 3. Other college or training establishment 4. Polytechnic/Scottish Central Institutions 5. University 95. Still in higher education or vocational training 96. None 97. Other (also abroad)

CARD 4 1. Married and living together with spouse 2. Registered partnership 3. Married, living separated from spouse 4. Never married 5. Divorced 6. Widowed

412

CARD 5 1. In the same household 2. In the same building 3. Less than 1 kilometre away 4. Between 1 and 5 kilometres away 5. Between 5 and 25 kilometres away 6. Between 25 and 100 kilometres away 7. Between 100 and 500 kilometres away 8. More than 500 kilometres away 9. More than 500 kilometres away in another country

CARD 6 1. A heart attack including myocardial infarction or coronary thrombosis or any

other heart problem including congestive heart failure 2. High blood pressure or hypertension 3. High blood cholesterol 4. A stroke or cerebral vascular disease 5. Diabetes or high blood sugar 6. Chronic lung disease such as chronic bronchitis or emphysema 7. Asthma 8. Arthritis, including osteoarthritis, or rheumatism 9. Osteoporosis 10. Cancer or malignant tumour, including leukaemia or lymphoma, but

excluding minor skin cancers 11. Stomach or duodenal ulcer, peptic ulcer 12. Parkinson disease 13. Cataracts 14. Hip fracture or femoral fracture 96. None 97. Other conditions, not yet mentioned

CARD 7 1. Pain in your back, knees, hips or any other joint 2. Heart trouble or angina, chest pain during exercise 3. Breathlessness, difficulty breathing 4. Persistent cough 5. Swollen legs 6. Sleeping problems 7. Falling down 8. Fear of falling down 9. Dizziness, faints or blackouts 10. Stomach or intestine problems, including constipation, air, diarrhoea 11. Incontinence or involuntary loss of urine 96. None 97. Other symptoms, not yet mentioned

413

CARD 8 1. Drugs for high blood cholesterol 2. Drugs for high blood pressure 3. Drugs for coronary or cerebrovascular diseases 4. Drugs for other heart diseases 5. Drugs for asthma 6. Drugs for diabetes 7. Drugs for joint pain or for joint inflammation 8. Drugs for other pain (e.g., headache, backpain, etc.) 9. Drugs for sleep problems 10. Drugs for anxiety or depression 11. Drugs for osteoporosis, hormonal 12. Drugs for osteoporosis, other than hormonal 13. Drugs for stomach burns 14. Drugs for chronic bronchitis 96. None 97. Other drugs, not yet mentioned

CARD 9 1. Walking 100 metres 2. Sitting for about two hours 3. Getting up from a chair after sitting for long periods 4. Climbing several flights of stairs without resting 5. Climbing one flight of stairs without resting 6. Stooping, kneeling, or crouching 7. Reaching or extending your arms above shoulder level 8. Pulling or pushing large objects like a living room chair 9. Lifting or carrying weights over 10 pounds/5 kilos, like a heavy bag of

groceries 10. Picking up a small coin from a table 96. None of these

CARD 10

1. Dressing, including putting on shoes and socks 2. Walking across a room 3. Bathing or showering 4. Eating, such as cutting up your food 5. Getting in or out of bed 6. Using the toilet, including getting up or down 7. Using a map to figure out how to get around in a strange place 8. Preparing a hot meal 9. Shopping for groceries 10. Making telephone calls 11. Taking medications 12. Doing work around the house or garden 13. Managing money, such as paying bills and keeping track of expenses 96. None of these

414

CARD 11 1. Almost every day 2. Five or six days a week 3. Three or four days a week 4. Once or twice a week 5. Once or twice a month 6. Less than once a month 7. Not at all in the last 6 months

CARD 12

1. Specialist for heart disease, pulmonary, gastroenterology, diabetes or endocrine diseases

2. Dermatologist 3. Neurologist 4. Opthalmologist 5. Ear, nose and throat specialist 6. Rheumatologist or physiatrist 7. Orthopaedist 8. Surgeon 9. Psychiatrist 10. Gynaecologist 11. Urologist 12. Oncologist 13. Geriatrician

CARD 13 1. Inpatient surgery 2. Medical tests or non-surgical treatments (except mental health) 3. Mental health problems

CARD 14

1. Cardiac catheterisation, including removal of obstruction, stent 2. Coronary artery bypass graft 3. Insertion, replacement or removal of pacemaker 4. Any ear, nose and throat surgery 5. Any biopsy 6. Hip replacement 7. Knee replacement 8. Surgical treatment of fracture or orthopaedic trauma 9. Hernia repair 10. Cholecystectomy 11. Prostatectomy 12. Hysterectomy 13. Cataract surgery 97. Any other inpatient surgery

415

CARD 15 1. Knee arthroscopy 2. Cataract surgery 3. Hernia repair 4. Biopsy or cyst removal 5. Hand surgery 6. Vein stripping 7. Anal surgery 8. Arteriography or angiography using contrast 97. Any other outpatient surgery performed in an operating room

CARD 16 1. Professional or paid nursing or personal care 2. Professional or paid home help, for domestic tasks that you could not

perform yourself due to health problems 3. Meals-on-wheels 96. None of these

CARD 17

1. Surgery 2. Care from a general practitioner 3. Care from a specialist physician 4. Drugs 5. Dental care 6. Hospital (inpatient) rehabilitation 7. Ambulatory (outpatient) rehabilitation 8. Aids and appliances 9. Care in a nursing home 10. Home care 11. Paid home help 97. Any other care not mentioned on this list

CARD 18

0. Social security institute (private sector employees) 1. Organisation for agricultural insurance (rural sector) 2. Self employed persons funds (merchants, craftsmen, etc) 3. Civil servants fund, employees of municipalities 4. Public utilities: telecoms, electricity, trains, metro 5. Health professions, engineers, lawyers 6. Hotel employees 7. Seamen 8. Various bank employees funds 9. Any other social health insurance fund 96. No social health insurance fund

416

CARD 19

1. Medical care with direct access to specialists 2. Medical care with access to specialists through a general practitioner 3. Medical care with unrestricted choice of doctors 4. Medical care with limited choice of doctors 5. Dental care 6. Full coverage of drugs expenses 7. Partial coverage of drugs expenses 8. Hospital care with unrestricted choice of hospitals and clinics 9. Hospital care with limited choice of hospitals and clinics 10. Long term care in nursing home 11. Nursing care at home in case of chronic disease or disability 12. Home help 96. No voluntary health insurance at all 97. Any other type of voluntary health insurance

CARD 20 1. Medical care with direct access to specialists 2. Medical care with an extended choice of doctors 3. Dental care 4. A larger choice of drugs and/or full drugs expenses (no participation) 5. An extended choice of hospitals and clinics for hospital care 6. (Extended) Long term care in a nursing home 7. (Extended) Nursing care at home in case of chronic disease or disability 8. (Extended) Home help for activities of daily living (household, etc.) 9. Full coverage of costs for doctor visits (no participation) 10. Full coverage of costs for hospital care (no participation) 96. No voluntary health insurance at all 97. Any other type of voluntary health insurance

CARD 21

1. Left work (retired) 2. Employed or self-employed (including working for family business) 3. Unemployed 4. Permanently sick or disabled 5. Homemaker 97. Other (specify)

CARD 22 1. Strongly agree 2. Agree 3. Disagree 4. Strongly disagree

417

CARD 23 1. Became eligible for public pension 2. Became eligible for private occupational pension 3. Became eligible for a private pension 4. Was offered an early retirement option/window (with special incentives or

bonus) 5. Made redundant (for example pre-retirement) 6. Own ill health 7. Ill health of relative or friend 8. To retire at same time as spouse or partner 9. To spend more time with family 10. To enjoy life

CARD 24 1. Public old age pension 2. Public early retirement or pre-retirement pension 3. Public disability insurance; sickness/invalidity/incapacity pension 4. Public unemployment benefit/insurance 5. Public survivor pension from spouse/partner 6. Income/poverty support 7. War pension 8. Private (occupational) old age pension 9. Private (occupational) early retirement pension 10. Private (occupational) disability/invalidity insurance 11. Private (occupational) survivor pension from spouse’s/partner's job 96. None of these

CARD 25

1. Life insurance payment 2. Private annuity/private personal pension 3. Private health insurance payment 4. Alimony 5. Regular payments from charities 96. None of these

CARD 26

1. Public old age pension 2. Public early retirement or pre-retirement pension 3. Public disability insurance; sickness/invalidity/incapacity pension 4. Private (occupational) old age pension 5. Private (occupational) early retirement pension 96. None of these

418

CARD 27 1. Full-time employed 2. Part-time employed 3. Self-employed or working for own family business 4. Unemployed 5. In vocational training/retraining/ education 6. Parental leave 7. In retirement or early retirement 8. Permanent sick or disabled 9. Looking after home or family 97. Other

CARD 28 1. personal care, i.e. dressing, including putting on shoes and socks bathing or

showering eating, e.g., cutting up your food getting in or out of bed using the toilet, including getting up or down

2. practical household help, e.g., with home repairs, gardening, transportation, shopping, household chores

3. help with paperwork, such as filling out forms, settling financial or legal matters

CARD 29

1. To meet basic needs 2. To buy or furnish a house or apartment 3. To help with a large item of expenditure (other than buying a house) 4. For a major family event (birth, marriage, other celebration) 5. To help with a divorce 6. To help following a bereavement or illness 7. To help with unemployment 8. For further education 9. To meet a legal obligation towards a spouse, parent or child 96. No specific reason 97. Other reason

CARD 30 1. City 2. Suburbs 3. Large town 4. Small town 5. Rural area/village

419

CARD 31 EXPENDITURE 1. Food consumed at home Include: all food items and non-alcoholic beverages bought at supermarkets, grocery stores, markets and other outlets. Do not include: spending on alcoholic beverages such as beer, wine, or spirits. ______________________________________________________________ 2. Food consumed outside home Include: all meals at restaurants and other outlets such as bars, pubs and canteens. Do not include: spending on alcoholic beverages, or expenditures on large ceremonial occasions such as wedding anniversaries. ______________________________________________________________ 3. Telephoning Include: per call or long distance charges and the basic rate; all expenditure on mobile phone calls made over the month; internet connection costs from your home. Do not include: purchases of telephone equipment such as phones or mobile phones. ______________________________________________________________ 4. All goods and services Include: groceries, utilities, transportation, clothing, entertainment, out-of-pocket medical expenses and any other expenses you and your household may have. Do not include: housing payments (rent or mortgage), housing maintenance, or the purchase of large items such as a car, or car payments, television, jewellery or furniture.

CARD 32 1. Bank accounts, transaction accounts or saving accounts 2. Government or corporate bonds 3. Stocks or shares (listed or unlisted on stock market) 4. Mutual funds or managed investment accounts 5. Individual retirements accounts 6. Contractual saving for housing 7. Life insurance 96. None of these

420

CARD 33 1. Never 2. About once every year 3. Few times per year 4. About every month 5. About every week 6. About every day

CARD 34 1. Debt on cars and other vehicles (vans/motorcycles/boats, etc.) 2. Overdue bills (phone, electricity, heating) 3. Overdue credit cards / store card bills 4. Loans (from bank, building society or other financial institution) 5. Debts to relatives or friends 6. Student loans 96. None of these 97. Other

CARD 35 1. Done voluntary or charity work 2. Cared for a sick or disabled adult 3. Provided help to family, friends or neighbors 4. Attended an educational or training course 5. Gone to a sport, social or other kind of club 6. Taken part in a religious organisation (church, synagogue, mosque etc.) 7. Taken part in a political or community-related organisation 96. None of these

CARD 36 1. To meet other people 2. To contribute something useful 3. For personal achievement 4. Because I am needed 5. To earn money 6. Because I enjoy it 7. To use my skills or to keep fit 8. Because I feel obligated to do it 96. None of these

421

CARD 37

CARD 38 1. Saving or investment 2. Pay off debt 3. Give to relatives or donations 4. Buy durable item (house, car, furniture, large electrical appliances,...) 5. Make a holiday trip or journey

0 10 20 30 40 50 60 70 80 100 90

absolutely no chance

absolutely certain

422

4.2 Show cards for Austria

Karte 1 1. Ehemann/-frau 2. Lebensgefährte/in 3. Kind 4. Schwiegersohn/Schwiegertochter 5. Elternteil 6. Schwiegervater/-mutter 7. Geschwister 8. Enkel 9. Andere Verwandte (bitte angeben) 10. Nicht verwandt (bitte angeben)

Karte 2 1. Volksschule 2. Hauptschule 3. Gymnasium (öffentlich) mit Matura 4. Gymnasium (privat) mit Matura 5. Berufsbildende Schule mit Matura (HAK, HTL,...) 6. Berufsbildende Schule ohne Matura 95. Noch kein Abschluss/noch in

Ausbildung 96. Kein Schulabschluss 97. Anderer Schulabschluss (auch Ausland)

Karte 3 1. Lehrabschlussprüfung 2. Meisterprüfung 3. Fachakademie (Sozialakademie, Krankenpflegeausbildung, Pädagogische

Akademie, ...) 4. Fachhochschulabschluss 5. Universität 95. Noch in Ausbildung 96. Kein Berufsabschluss 97. Anderer Abschluss (auch Ausland)

Karte 4 1. Verheiratet und mit dem/der Ehepartner/in zusammenlebend 3. Verheiratet, getrennt vom/von der Ehepartner/in lebend 4. Ledig 5. Geschieden 6. Verwitwet

423

Karte 5 1. Im selben Haushalt 2. Im selben Haus 3. Weniger als 1 km entfernt 4. Zwischen 1 und 5 km entfernt 5. Zwischen 5 und 25 km entfernt 6. Zwischen 25 und 100 km entfernt 7. Zwischen 100 und 500 km entfernt 8. Mehr als 500 km entfernt 9. Mehr als 500 km entfernt im Ausland

Karte 6 1. Herzanfall, einschließlich Herzinfarkt, Koronarthrombose oder eine andere

Herzkrankheit einschließlich Herzinsuffizienz 2. Bluthochdruck oder Hypertonie 3. Hoher Cholesterinspiegel 4. Schlaganfall oder Gehirngefäßerkrankung 5. Diabetes oder hoher Blutzuckerspiegel 6. Chronische Lungenkrankheit wie chronische Bronchitis oder

Lungenaufblähung (Emphysem) 7. Asthma 8. Arthritis, einschließlich Osteoarthritis oder Rheuma 9. Osteoporose 10. Krebs oder Malignom, auch Leukämie oder Lymphome, ausgenommen

jedoch leichtere Formen von Hautkrebs 11. Magen- oder Zwölffingerdarmgeschwür, sonstige

gutartige Geschwüre des Verdauungstraktes 12. Parkinson'sche Krankheit 13. Grauer Star 14. Oberschenkelhalsbruch 96. Keine 97. Andere, hier nicht erwähnte Krankheiten

Karte 7 1. Rücken-, Knie-, Hüft- oder sonstige Gelenkschmerzen 2. Herzbeschwerden oder Angina Pectoris, Schmerzen in der Brust bei

sportlicher Betätigung 3. Atemlosigkeit, Schwierigkeiten beim Atmen 4. Anhaltender Husten 5. Geschwollene Beine 6. Schlafprobleme 7. Stürze 8. Furcht vor Stürzen 9. Schwindel, Ohnmacht oder Erinnerungslücken 10. Magen-Darm-Probleme, einschließlich Verstopfung, Winde, Durchfall 11. Inkontinenz oder unbeabsichtigter Harnabgang 96. Keine 97. Andere Symptome, die noch nicht erwähnt wurden

424

Karte 8 1. Hoher Cholesterinspiegel 2. Bluthochdruck 3. Herzinfarkt oder Probleme der Hirndurchblutung 4. Andere Herzerkrankungen 5. Asthma 6. Diabetes 7. Gelenksschmerzen oder -entzündungen 8. Sonstige Schmerzen (z.B. Kopfweh, Rückenschmerzen usw.) 9. Schlafprobleme 10. Angstzustände oder Depressionen 11. Hormonelle Osteoporose 12. Nicht-hormonelle Osteoporose 13. Sodbrennen 14. Chronische Bronchitis 96. Keine davon 97. Sonstige Arzneimittel, die noch nicht erwähnt wurden

Karte 9 1. 100 Meter gehen 2. Etwa zwei Stunden lang sitzen 3. Nach längerem Sitzen von einem Sessel aufstehen 4. Stiegensteigen: mehrere Stockwerke ohne zu pausieren 5. Stiegensteigen: ein Stockwerk ohne zu pausieren 6. In die Hocke gehen, sich hinknien oder bücken 7. Die Arme bis zur Schulter oder darüber anheben 8. Ziehen oder Schieben von großen Gegenständen, etwa einem Lehnstuhl 9. Gewichte über 5 Kilo heben oder tragen, z.B. eine schwere Einkaufstasche 10. Aufheben einer kleinen Münze (20 Cent Stück) von einem Tisch 96. Bei keiner dieser Tätigkeiten

Karte 10 1. Ankleiden, einschließlich Schuhe und Socken anziehen 2. Durch einen Raum durchgehen 3. Baden oder duschen 4. Essen, z.B. beim Schneiden von Fleisch oder Brot 5. Ins Bett legen oder wieder aufstehen 6. Gang zur Toilette, einschließlich hinsetzen und aufstehen 7. Sich mit einem Stadtplan an einem fremden Ort zurechtzufinden 8. Eine warme Mahlzeit zubereiten 9. Lebensmittel einkaufen 10. Telefonieren 11. Medikamente einnehmen 12. Haus- und Gartenarbeit 13. Erledigung von Geldangelegenheiten, z.B. Bezahlung von Rechnungen, und

Überblick über Ausgaben bewahren 96. Keine dieser Tätigkeiten

425

Karte 11 1. Täglich 2. Fünf- oder sechsmal pro Woche 3. Drei- oder viermal pro Woche 4. Ein- oder zweimal pro Woche 5. Ein- oder zweimal pro Monat 6. Weniger als einmal pro Monat 7. Kein einziges Mal in den letzten 6 Monaten

Karte 12 1. Internist, Spezialist für Herz- oder Lungenkrankheiten, Magen-Darm-Leiden,

Diabetes usw. 2. Hautarzt 3. Neurologe 4. Augenarzt 5. Hals-Nasen-Ohrenarzt 6. Rheumatologe oder Physiotherapeut 7. Orthopäde 8. Chirurg 9. Psychiater/Therapeut 10. Gynäkologe 11. Urologe 12. Onkologe 13. Facharzt für Geriatrie

Karte 13 1. Operation 2. Medizinische Tests, Behandlung ohne Operation (ausgenommen

psychiatrische Behandlungen) 3. Psychische Probleme

Karte 14 1. Legen eines Herzkatheters, auch Entfernung der Arterienverstopfung,

Gefäßprothese 2. Herz-Bypass-Transplantation 3. Einsetzen, Ersetzen oder Entfernen eines Herzschrittmachers 4. HNO-Operation 5. Jede Form der Biopsie (Gewebeuntersuchung) 6. Hüftgelenksersatz 7. Kniegelenksersatz 8. Operation nach Knochenbruch oder orthopädischer Verletzung 9. Operation nach Leistenbruch 10. Entfernung der Gallenblase 11. Entfernung der Prostata 12. Entfernung der Gebärmutter 13. Operation wegen Grauem Star 97. Andere stationäre Operation

426

Karte 15 1. Kniegelenksspiegelung 2. Operation eines Grauen Stars 3. Leistenbruchoperation 4. Gewebeentnahme oder Entfernung einer Zyste 5. Operation an der Hand 6. Venen ziehen 7. Afterchirugie 8. Arteriographie oder Angiographie mit Kontrastmittel 97. Andere ambulante Operation in einem Operationssaal

Karte 16 1. Professionelle oder bezahlte Pflegeoder persönliche Betreuung 2. Professionelle oder bezahlte Haushaltshilfe, für Hausarbeiten, die Sie wegen

eines gesundheitlichen Problems nicht selbst erledigen konnten 3. Essen auf Rädern 96. Nichts davon

Karte 17 1. Operation 2. Betreuung durch Hausarzt 3. Betreuung durch Facharzt 4. Medikamente 5. Zahnbehandlung und Zahnersatz 6. Stationäre Rehabilitation im Krankenhaus 7. Ambulante Rehabilitation 8. Heil- und Hilfsmittel 9. Betreuung im Pflegeheim 10. Hauskrankenpflege 11. Bezahlte Haushaltshilfe 97. Andere

Karte 19 1. Direkter Zugang zu Fachärzten 2. Zugang zu Fachärzten über den Hausarzt 3. Uneingeschränkte freie Arztwahl 4. Eingeschränkte Arztwahl 5. Zahnbehandlung 6. Volle Kostenerstattung für Medikamente 7. Teilweise Kostenerstattung für Medikamente 8. Freie Krankenhauswahl 9. Eingeschränkte Krankenhauswahl 10. Langzeitaufenthalt im Pflegeheim 11. Häusliche Krankenpflege bei chronischen Krankheiten oder Behinderung 12. Haushaltshilfe 96. Keine freiwillige private Krankenversicherung 97. Andere freiwillige private Krankenversicherung

427

Karte 20 1. Direkter Zugang zu Fachärzten 2. Erweiterte Arztwahl 3. Zahnbehandlung 4. Größere Auswahl an Medikamenten und/oder volle Kostenerstattung für

Medikamente (kein Selbstbehalt) 5. Erweiterte Krankenhauswahl / Zusatzversicherung im Krankenhaus /

Krankenhaustaggeldversicherung 6. (Erweiterte) Langzeitbetreuung im Pflegeheim 7. (Erweiterte) Häusliche Pflege bei chronischen Krankheiten oder

Behinderung 8. (Erweiterte) Hilfe für alltägliche Verrichtungen (Haushalt, etc.) 9. Volle Kostenerstattung für Arztbesuche (kein Selbstbehalt) 10. Volle Kostenerstattung für Krankenhausaufenthalte (kein Selbstbehalt) 96. Keine freiwillige Krankenversicherung 97. Andere freiwillige Krankenversicherung

Karte 21 1. Arbeite nicht mehr (Pension) 2. Angestellt oder selbstständig (einschließlich Familienbetrieb) 3. Arbeitslos 4. Dauerhaft krank oder arbeitsunfähig 5. Hausfrau/Hausmann 97. Sonstiges (bitte angeben)

Karte 22 1. Stimme voll zu 2. Stimme zu 3. Stimme nicht zu 4. Stimme überhaupt nicht zu

Karte 23 1. Hatte Anspruch auf staatliche Pension 2. Hatte Anspruch auf private Firmenpension 3. Hatte Anspruch auf private Pension 4. Erhielt Angebot für vorzeitigen Ruhestand mit Überbrückungszahlungen 5. Arbeitsplatz wurde wegrationalisiert, mit Pensionsangebot 6. Aus Gesundheitsgründen 7. Schlechte Gesundheit eines Verwandten/Freundes 8. Um zur selben Zeit in Pension zu gehen wie Mann/Frau/Partner 9. Um mehr Zeit mit der Familie zu verbringen 10. Um das Leben zu genießen

428

Karte 24 1. Staatliche Pension 2. Staatliche Frühpension 3. Staatliche Invaliditäts- (Berufs- bzw. Erwerbsunfähigkeits-) pension 4. Staatliches Arbeitslosengeld oder Versicherung 5. Staatliche Hinterbliebenenpension von Ihrem Ehe- oder Lebenspartner 6. Staatliche Sozialhilfe 7. Kriegsinvalidenrente 8. Private (betriebliche) Alterspension 9. Private (betriebliche) Frühpension 10. Private (betriebliche) Krankheits- oder Invalidenrente 11. Private (betriebliche) Hinterbliebenenpension aus der Berufstätigkeit Ihres/r

Mannes/Frau/ Partners/in 96. Nichts davon

Karte 25 1. Lebensversicherung 2. Private Pensionsversicherung 3. Private Krankenversicherung 4. Unterhaltszahlungen 5. Regelmäßige Unterstützung von Hilfsorganisationen 96. Nichts davon

Karte 26 1. Gesetzliche Alterspension 2. Staatliche Frühpension 3. Staatliche Invaliditäts- (Berufs- bzw. Erwerbsunfähigkeits-) pension 4. Private (betriebliche) Alterspension 5. Private (betriebliche) Frühpension 96. Keine dieser Formen

Karte 27 1. Vollzeit beschäftigt 2. Teilzeit beschäftigt 3. Selbstständig oder im Familienbetrieb tätig 4. Arbeitslos 5. In Ausbildung oder Umschulung 6. In Karenz 7. Pension oder Frühpension 8. Dauernd erwerbsunfähig 9. Hausfrau/-mann 97. Anderes

429

Karte 28 1. Persönliche Pflege, z.B. Hilfe beim Anziehen, Waschen oder Baden, Essen,

Zubettgehen oder Aufstehen, Benutzen der Toilette 2. Praktische Hilfe im Haushalt, z.B. kleine Reparaturen, Gartenarbeit,

Transport, Einkauf, Hausarbeit 3. Hilfe bei "Papierkram", wie Ausfüllen von Formularen, finanzielle oder

rechtliche Angelegenheiten regeln

Karte 29 1. Für den Lebensunterhalt 2. Um ein Haus oder eine Wohnung zu kaufen oder einzurichten 3. Um eine größere Anschaffung zu tätigen (außer Immobilien) 4. Wegen eines familiären Ereignisses (Geburt, Hochzeit, andere Festlichkeit) 5. Als Hilfe bei einer Scheidung 6. Als Hilfe bei Todesfall oder Krankheit 7. Als Hilfe bei Arbeitslosigkeit 8. Zur Aus- oder Weiterbildung 9. Als Hilfe bei einer gesetzlichen Verpflichtung (z.B. Alimente oder Zahlungen

für die Pflege der Eltern) 96. Ohne bestimmten Grund 97. Anderer Grund

Karte 30 1. Großstadt 2. Vorstadt, Außenbezirk 3. Größere Stadt 4. Kleinstadt 5. Ländliche Gegend/Dorf

430

Karte 31 AUSGABEN 1. Ausgaben für Lebensmittel zu Hause Dazu gehören: alle Lebensmittel sowie alkoholfreie Getränke, die in Lebensmittelgeschäften, Supermärkten, oder ähnlichen Geschäften gekauft wurden. Nicht dazu gehören: Ausgaben für alkoholhaltige Getränke wie Bier, Wein, Sekt oder Spirituosen. 2. Ausgaben für Lebensmittel außer Haus Dazu gehören: alle Mahlzeiten, die in Restaurants, Gasthäusern und Kantinen eingenommen wurden. Nicht dazu gehören: Ausgaben für alkoholische Getränke, sowie Ausgaben bei großen Feierlichkeiten wie Hochzeiten, etc. 3. Telefon Dazu gehören: Grundgebühren und Kosten für Gespräche, sowohl für das Festnetz als auch für Mobilgeräte, sowie Kosten für die Nutzung des Internet. Nicht dazu gehören: Kauf von Telefonen und Handys. 4. Alle Konsumgüter und Dienstleistungen Dies ist die Summe aller Ausgaben des Haushalts für Lebensmittel, Dienstleistungen, Verkehrsmittel, Kleidung, Unterhaltung, Medikamente, etc. Nicht dazu gehören: Ausgaben für Wohnen (Miete oder Hypothekenzahlungen sowie Nebenkosten), oder größere Anschaffungen wie ein Auto, Fernseher, Schmuck oder Möbel.

Karte 32 1. Girokonten, Sparbücher 2. Anleihen (festverzinsliche Wertpapiere) 3. Aktien oder Unternehmensanteile 4. Investmentfonds oder Ähnliches 6. Bausparvertrag 7. Lebensversicherung 95. Prämiengeförderte Zukunftsvorsorge 96. Keine davon

431

Karte 33 1. Nie 2. Etwa einmal im Jahr 3. Ein paar Mal im Jahr 4. Etwa jeden Monat 5. Etwa jede Woche 6. Etwa jeden Tag

Karte 34

1. Kredite für Autos und andere Fahrzeuge (Kleinbusse/Motorräder/Boote, etc.) 2. Überfällige Rechnungen (Telefon, Strom, Heizung) 3. Überfällige Kreditkarten-/Kundenkartenrechnungen 4. Darlehen (von Banken, Wohnbaugesellschaft oder anderen

Finanzinstitutionen) 5. Schulden bei Verwandten oder Freunden 6. Studentenkredite 96. Nichts davon 97. Andere

Karte 35 1. Unentgeltliche bzw. freiwillige Arbeit bei Wohltätigkeitsorganisationen/

Veranstaltungen 2. Betreuung einer kranken oder behinderten Person 3. Der Familie, Freunden oder Nachbarn geholfen 4. Einen Weiterbildungskurs besucht 5. Einen Sportverein oder anderen Verein besucht 6. Eine religiöse Einrichtung (Kirche, Synagoge, Moschee, etc.) besucht 7. Sich bei einer politischen Organisation oder Gemeindeeinrichtung beteiligt 96. Keine der genannten Aktivitäten

Karte 36 1. Um andere Leute kennenzulernen 2. Um einen nützlichen Beitrag zu leisten 3. Persönliche Befriedigung 4. Weil ich gebraucht werde 5. Um Geld zu verdienen 6. Weil es mir Freude bereitet 7. Um meine Fähigkeiten einsetzen zu können oder fit zu bleiben 8. Weil ich mich dazu verpflichtet fühle 96. Keine der genannten Gründe

432

KARTE 37

KARTE 38

1. Sparen oder investieren 2. Schulden abbezahlen 3. Verwandten geben oder spenden 4. Langlebige Konsumgüter kaufen (Haus, Auto, etc.) 5. Einen Urlaub oder eine Reise machen

0 10 20 30 40 50 60 70 80 100 90

absolut unmöglich

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Survey of Health, Ageing and Retirement in Europe SHARE ... · Survey of Health, Ageing and Retirement in Europe SHARE First Results for Austria Research Report 31 Isabella Buber,