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July 2017 The German Survey on Volunteering 2014 Codebook and frequencies SUF FWS 2014 Version 1.2 Corinna Kausmann, Nicole Hameister, Doreen Müller German Centre of Gerontology – Deutsches Zentrum für Altersfragen (DZA) Manfred-von-Richthofen-Straße 2 12101 Berlin Phone +49 (0)30 – 26 07 40-0 Fax +49 (0)30 – 78 54 350 EMail [email protected]

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Page 1: German Centre of Gerontology – Deutsches Zentrum für ... · w4_201_13 Actively participate: Accident or ambulance service, voluntary fire brigade (w4) 63 ... w4_302 Volunteered

July 2017 The German Survey on Volunteering 2014

Codebook and frequencies SUF FWS 2014 Version 1.2

Corinna Kausmann, Nicole Hameister, Doreen Müller

German Centre of Gerontology – Deutsches Zentrum für Altersfragen (DZA) Manfred-von-Richthofen-Straße 2 12101 Berlin Phone +49 (0)30 – 26 07 40-0 Fax +49 (0)30 – 78 54 350 EMail [email protected]

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USER SUPPORT

Please contact the user support of the Research Data Centre (FDZ-DZA: Nicole Hameister) if you have any further questions: http://www.dza.de/en/fdz.html German Survey on Volunteering FWS-Contact and Support CITATION

We recommend the following citation for this document:

Kausmann, C., Hameister, N., Müller, D. (2017). The German Survey on Volunteering. Codebook and frequencies SUF FWS 2014, Version 1.2. Berlin: German Centre of Gerontology.

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TABLE OF CONTENTS

ANNOTATIONS ...........................................................................................................16

Version information 16

Note 16

Classification of missing values codes 17

Contact and Support 17

Survey instruments 2014 18

GENERATED AND ADDED VARIABLES 1 ........................................................................19

w4_teilstp Subsample mobile phone network or landline (w4) 19

w4_sprache Language at the beginning of the phone call (w4) 19

w4_intsprache Language of the interview (w4) 19

w4_ostwest Dummy: Federal states of the former East and the former West Germany (w4) 20

w4_gkbik10 Municipality size BIK 1-10 (Sys:753) (w4) 20

w4_bbsr_regtyp BBSR region type (BBSR Regionstyp) (w4) 21

w4_bbsr_krstyp BBSR district type (BBSR Kreistyp) (w4) 21

w4_bbsr_diffregtyp BBSR adjusted region type (differenzierter Regionstyp) (w4) 22

w4_alter Age (w4) 22

w4_bula Federal State (Bundesland) (w4) 23

SET OF QUESTIONS 100: PERSONAL DETAILS I ............................................................24

w4_101 Gender (w4) 24

w4_102 Respondent's country of birth, Germany (w4) 24

w4_105 In what year did you move to Germany (w4) 25

w4_106 How many people are there in total in your household, include yourself (w4) 25

w4_107 Leben im Haushalt Personen unter 18 Jahren (w4) 26

w4_108_1 Number of children in the household: Under 3 years (w4) 26

w4_108_2 Number of children in the household: 3 to under 6 years (w4) 27

w4_108_3 Number of children in the household: 6 to under 14 years (w4) 27

w4_108_4 Number of Persons in the household: People from 14 to under 18 years (w4) 28

w4_109 Persons under 18 years in the household: own children/ren (w4) 28

w4_110 Do you yourself care for or look after this child/these children (w4) 29

w4_111 Marital status (w4) 29

w4_112 Are you currently in a solid partnership (w4) 30

w4_113 Do you live with your partner (w4) 30

w4_114 Employment status (w4) 31

w4_115 Employed: full-time/part-time/marginal employment (w4) 31

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w4_116 Type of voluntary service (w4) 32

w4_118 Duration of employment status in years 32

w4_119 Unemployment benefit 1 or unemployment benefit 2 (Hartz IV) (w4) 33

w4_120 Current type of (vocational) education (w4) 33

w4_121 Current type of school (w4) 34

w4_122 Are you planning to do A-Levels (Abitur) (w4) 34

w4_123 Are you planning to do A-Levels after 13th or 12th class (w4) 35

w4_124 Last school: Country (w4) 35

w4_125 School attendance in Germany: Highest school qualification (w4) 36

w4_126 School attendance abroad: Number of school years (w4) 37

w4_127 School attendance abroad: Qualification degree (w4) 38

w4_128 Completed vocational training/university studies (w4) 38

w4_129 Vocational training/university studies: Country (w4) 39

w4_130 Highest vocational degree in Germany (w4) 39

w4_131 Highest vocational degree abroad (w4) 40

w4_132 Are you involved occasionally/regularly in a paid activity to earn money (w4) 40

w4_133 Is this marginal employment or a Minijob, so-called 400- or 450-Euro job (w4) 41

w4_134 How many hours on average is your weekly working time (w4) 41

w4_135 Were you gainfully employed in the past (w4) 42

w4_136 Professional position (w4) 42

w4_137 Professional position: Blue-collar worker (w4) 43

w4_138 Professional position: White-collar worker (w4) 43

w4_139 Professional position: Civil servant (w4) 44

w4_140 Professional position: Self-employed, academic (w4) 44

w4_141 Do you have German citizenship (w4) 45

w4_142 Have you had German citizenship since birth (w4) 45

w4_143 How did you acquire German citizenship (w4) 46

w4_144 Men: compulsory/voluntary military service; civilian/community service (w4) 46

w4_145 Women: Did you do voluntary military service (w4) 47

w4_146 Did you ever do a voluntary service (w4) 47

w4_147 Which voluntary service did you do (w4) 48

w4_149 There are enough people that I feel very close to (w4) 48

w4_150 If you need help: Are there any people you can turn to (w4) 49

w4_151_1 Ask for help outside the household: Relatives (w4) 49

w4_151_2 Ask for help outside the household: Neighbours (w4) 50

w4_151_3 Ask for help outside the household: Friends (w4) 50

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w4_151_4 Ask for help outside the household: Acquaintance or other people (w4) 51

w4_152 Do you belong to a denomination or religious group (w4) 51

w4_153 Which denomination or religious group is that (w4) 52

w4_154 Denomination or religious group: how closely do you feel connected to (w4) 52

w4_155 How long have you been living at your current residence (w4) 53

w4_156 How good is the social cohesion in your neighbourhood (w4) 53

w4_157 Member of any non-profit club, association or organisation (w4) 54

w4_158_1 Political activity: Political office or political responsibility (w4) 54

w4_158_2 Political activity: Signed signature collections (incl. online petitions) (w4) 55

w4_158_3 Political activity: Taken part in a demonstration (w4) 55

w4_158_4 Political activity: Been involved in a citizens' initiative (w4) 56

w4_159 Did you take part in the general election (Bundestagswahl) 2013 (w4) 56

SET OF QUESTIONS 200: ACTIVITY AND VOLUNTEERING QUERY ..............................57

w4_201_01 Actively participate: Sport and exercise (w4) 57

w4_201_02 Actively participate: Culture and music (w4) 57

w4_201_03 Actively participate: Leisure and social interaction (w4) 58

w4_201_04 Actively participate: Social area (w4) 58

w4_201_05 Actively participate: Health area (w4) 59

w4_201_06 Actively participate: School or nursery area (w4) 59

w4_201_07 Actively participate: Youth work outside school or adult education (w4) 60

w4_201_08 Actively participate: Environment, nature protection or animal rights (w4) 60

w4_201_09 Actively participate: Politics and political interest groups (w4) 61

w4_201_10 Actively participate: Professional interest groups outside work (w4) 61

w4_201_11 Actively participate: Church or religious area (w4) 62

w4_201_12 Actively participate: Justice and criminality (w4) 62

w4_201_13 Actively participate: Accident or ambulance service, voluntary fire brigade (w4) 63

w4_201_14 Actively participate: Area not yet mentioned (w4) 63

w4_engbereich_1 Volunteering: Sport and exercise (w4) 64

w4_engbereich_2 Volunteering: Culture and music (w4) 64

w4_engbereich_3 Volunteering: Leisure and social interaction (w4) 65

w4_engbereich_4 Volunteering: Social area (w4) 65

w4_engbereich_5 Volunteering: Health area (w4) 66

w4_engbereich_6 Volunteering: School or nursery area (w4) 66

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w4_engbereich_7 Volunteering: Youth work outside school or adult education (w4) 67

w4_engbereich_8 Volunteering: Environment, nature protection or animal rights (w4) 67

w4_engbereich_9 Volunteering: Politics and political interest groups (w4) 68

w4_engbereich_10 Volunteering: Professional interest groups outside work (w4) 68

w4_engbereich_11 Volunteering: Church or religious area (w4) 69

w4_engbereich_12 Volunteering: Justice and criminality (w4) 69

w4_engbereich_13 Volunteering: Accident or ambulance service, voluntary fire brigade (w4) 70

w4_engbereich_14 v (w4) 70

w4_anz_taet_ber_1 Number of activities: Sport and exercise (w4) 71

w4_anz_taet_ber_2 Number of activities: Culture and music (w4) 71

w4_anz_taet_ber_3 Number of activities: Leisure and social interaction (w4) 72

w4_anz_taet_ber_4 Number of activities: Social area (w4) 72

w4_anz_taet_ber_5 Number of activities: Health area (w4) 73

w4_anz_taet_ber_6 Number of activities: School or nursery area (w4) 73

w4_anz_taet_ber_7 Number of activities: Youth work outside school or adult education (w4) 74

w4_anz_taet_ber_8 Number of activities: Environment, nature protection or animal rights (w4) 74

w4_anz_taet_ber_9 Number of activities: Politics and political interest groups (w4) 75

w4_anz_taet_ber_10 Number of activities: Professional interest groups outside work (w4) 75

w4_anz_taet_ber_11 Number of activities: Church or religious area (w4) 76

w4_anz_taet_ber_12 Number of activities: Justice and criminality (w4) 76

w4_anz_taet_ber_13 Number of activities: Accident or ambulance service, voluntary fire brigade (w4) 77

w4_anz_taet_ber_14 Number of activities: Area not yet mentioned (w4) 77

SET OF QUESTIONS 300: VOLUNTEERING IN GENERAL ...............................................78

w4_301 Would you be willing to extend your voluntary work (w4) 78

w4_302 Volunteered for the first time at the age of (w4) 78

w4_303_1 Motive: Influence society by volunteering (w4) 79

w4_303_2 Motive: Get together with other people by volunteering (w4) 79

w4_303_3 Motive: Gain esteem and influence by volunteering (w4) 80

w4_303_4 Motive: Advance professionally through volunteering (w4) 80

w4_303_5 Motive: Get qualifications by volunteering (w4) 81

w4_303_6 Motive: Earn a little extra through volunteering (w4) 81

w4_303_7 Motive: My involvement is fun (w4) 82

w4_303_8 Motive: Get together with other generations by volunteering (w4) 82

w4_304 Volunteered in the last four weeks (w4) 83

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w4_305 How often do you carry out your voluntary activity (w4) 83

w4_306_a_1 Time spend on voluntary work: Hours a day (w4) 84

w4_306_a_2 Time spend on voluntary work: Minutes a day (w4) 84

w4_306_b_1 Time spend on voluntary work: Hours a week (w4) 85

w4_306_b_2 Time spend on voluntary work: Minutes a week (w4) 85

w4_306_c_1 Time spend on voluntary work: Hours a month (w4) 86

w4_306_c_2 Time spend on voluntary work: Minutes a month (w4) 86

w4_306_d_1 Time spend on voluntary work: Hours a year (w4) 87

w4_306_d_2 Time spend on voluntary work: Minutes a year (w4) 87

SET OF QUESTIONS 400: MOST TIME-CONSUMING VOLUNTARY ACTIVITY ...............88

w4_401 Which region mainly benefits from this activity (w4) 88

w4_402 Is this a developing country (w4) 88

w4_403_01 Target group: Children and young people (w4) 89

w4_403_02 Target group: Families (w4) 89

w4_403_03 Target group: Older people (w4) 90

w4_403_04 Target group: People with a handicap (w4) 90

w4_403_05 Target group: People with an immigrant background (w4) 91

w4_403_06 Target group: Women (w4) 91

w4_403_07 Target group: Men (w4) 92

w4_403_08 Target group: Financially or socially disadvantaged people (w4) 92

w4_403_09 Target group: People who need help or care (w4) 93

w4_403_10 Target group: Another target group (w4) 93

w4_404 Target group children and young people: Age (w4) 94

w4_405 Target group older people: Age (w4) 94

w4_406 Target group older people: People with dementia (w4) 95

w4_407 In which organisational framework do you carry out your activity (w4) 95

w4_408 Do you carry out this activity as part of your voluntary service (w4) 96

w4_409 Are there also full-time employees with permanent contracts (w4) 96

w4_410 Is there a person who looks after the volunteers in particular (w4) 97

w4_411 How would you rate your consultation and decision-making options (w4) 97

w4_412 Persons with immigrant background are the majority in the organisation (w4) 98

w4_413_01 Main content: Personal assistance (w4) 98

w4_413_02 Main content: Organising/carrying out aid projects (w4) 99

w4_413_03 Main content: Organising/carrying out meetings or events (w4) 99

w4_413_04 Main content: Advice (w4) 100

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w4_413_05 Main content: Educational support or directing a group (w4) 100

w4_413_06 Main content: Protection of interests and to participate (w4) 101

w4_413_07 Main content: Information and PR activity (w4) 101

w4_413_08 Main content: Management or administrative activities (w4) 102

w4_413_09 Main content: Practical work that has to be done (w4) 102

w4_413_10 Main content: Networking (w4) 103

w4_413_11 Main content: Fundraising (w4) 103

w4_413_12 Main content: Something else (w4) 104

w4_414 Do you have a management or board position (w4) 104

w4_415 Is specific training or further training required to carry out the activity (w4) 105

w4_416_1 Acquisition of knowledge: Specialist knowledge (w4) 105

w4_416_2 Acquisition of knowledge: Social skills (w4) 106

w4_416_3 Acquisition of knowledge: Personal skills (w4) 106

w4_417_1 Knowledge useful: In school, training or study (w4) 107

w4_417_2 Knowledge useful: When getting back into the world of work (w4) 107

w4_417_3 Knowledge useful: In professional activity (w4) 108

w4_418 Do you use the internet for you voluntary activity (w4) 108

w4_419 Internet: Interactive use of Web 2.0 (w4) 109

w4_420 Does your activity take place exclusively or predominantly on the Internet (w4) 109

w4_421 Have you ever taken part in courses or seminars for further training (w4) 110

w4_422 How often did you carry out this activity (w4) 110

w4_423_a_1 Last 12 months: How many hours a day have you spent on your activity (w4) 111

w4_423_a_2 Last 12 months: How many minutes a day have you spent on your activity (w4) 112

w4_423_b_1 Last 12 months: How many hours a week have you spent on your activity (w4) 112

w4_423_b_2 Last 12 months: How many minutes a week have you spent on your activity (w4) 113

w4_423_c_1 Last 12 months: How many hours a month have you spent on your activity (w4) 113

w4_423_c_2 Last 12 months: How many minutes a month have you spent on your activity (w4) 114

w4_423_d_1 Last 12 months: How many hours a year have you spent on your activity (w4) 114

w4_423_d_2 Last 12 months: How many minutes a year have you spent on your activity (w4) 115

w4_424 Is your activity time-limited (w4) 115

w4_425 Do you have costs because of your activity (w4) 116

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w4_426 Is there the option to have these expenses refunded (w4) 116

w4_427 Do you as a rule make use of a reimbursement of costs (w4) 117

w4_428 Regardless reimbursement: Received money for the activity last 12 months (w4) 117

w4_429 Payments per month: Up to and including or over 150 euro (w4) 118

w4_430 Payments per month: Up to and including or over 50 euro (w4) 118

w4_431 Payments per month: Up to and including or over 350 euro (w4) 119

w4_432 Payments per month: Up to and including or over 500 euro (w4) 119

w4_433 Did you receive non-cash payments for your activity in the last 12 months (w4) 120

w4_434 Were you interested in carrying out this activity professionally (w4) 120

w4_435 Is this voluntary activity, related to a professional activity (w4) 121

w4_436_1 My activity makes me feel better (w4) 121

w4_436_2 My circle of acquaintances share the same interest in this activity (w4) 122

w4_436_3 People close to me attach great importance to this activity (w4) 122

w4_436_4 Activity allows me to learn things through practical experience (w4) 123

w4_436_5 Through my activity I can find out what my strengths are (w4) 123

w4_437 How many years have you been doing this activity (w4) 124

w4_438_1 Impetus: Managing persons from the group or organisation (w4) 124

w4_438_2 Impetus: Family members, friends or acquaintances (w4) 125

w4_438_3 Impetus: Information and contact point (w4) 125

w4_438_4 Impetus: Media or Internet (w4) 126

w4_438_5 Impetus: Experiences in the family (w4) 126

w4_438_6 Impetus: Civilian service (w4) 127

w4_438_7 Impetus: Voluntary service (w4) 127

w4_438_8 Impetus: School, college or training (w4) 128

w4_438_9 Impetus: Employer (w4) 128

w4_439 Did the initiative come from you or were you asked (w4) 129

w4_440 Support by employer (w4) 129

w4_441 Support by employer requested (w4) 130

w4_442_1 Organisation: Specialist support of the activity (w4) 130

w4_442_2 Organisation: Options for further education (w4) 131

w4_442_3 Organisation: Recognition by full-time staff in the organisation (w4) 131

w4_442_4 Organisation: Financial remuneration (w4) 132

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w4_442_5 Organisation: Non-bureaucratic cost reimbursement (w4) 132

w4_442_6 Organisation: Recognition in form of reports/identity cards (w4) 133

w4_442_7 Organisation: Provision of suitable rooms and equipment (w4) 133

w4_443_1 State/public: Safeguarding through third-party liability/accident insurance (w4) 134

w4_443_2 State/public: Tax deduction of costs (w4) 134

w4_443_3 State/public: Tax exemption of expense allowances (w4) 135

w4_443_4 State/public: Recognition as professional internship or training (w4) 135

w4_443_5 State/public: Recognition like honouring (w4) 136

w4_443_6 State/public: Information and advice (w4) 136

w4_443_7 State/public: Reconciliation with the profession (w4) 137

SET OF QUESTIONS 500: EARLIER VOLUNTEERING AND VOLUNTEERING POTENTIAL ..................................................................................... 137

w4_501 Did you volunteer in the past (w4) 137

w4_502 How old were you when you volunteered for the first time (w4) 138

w4_503_1 End: Took up too much time (w4) 138

w4_503_2 End: Health reasons (w4) 139

w4_503_3 End: Family reasons (w4) 139

w4_503_4 End: Professional reasons (w4) 140

w4_503_5 End: Problems within the group (w4) 140

w4_503_6 End: Activity was time-limited (w4) 141

w4_503_7 End: Didn't want to have obligations anymore (w4) 141

w4_503_8 End: Reached an age limit (w4) 142

w4_504_1 Reason for non-volunteering: Time (w4) 142

w4_504_2 Reason for non-volunteering: Health reasons (w4) 143

w4_504_3 Reason for non-volunteering: Family reasons (w4) 143

w4_504_4 Reason for non-volunteering: Professional reasons (w4) 144

w4_504_5 Reason for non-volunteering: Don’t feel appropriate (w4) 144

w4_504_6 Reason for non-volunteering: Others rejected me (w4) 145

w4_504_7 Reason for non-volunteering: Don't want to take on any commitments (w4) 145

w4_504_8 Reason for non-volunteering: Don't know where I can turn to for it (w4) 146

w4_505 Would you be willing to volunteer in the future (w4) 146

w4_506 Have you already got specific ideas in which area you would volunteer (w4) 147

w4_507_01 Potential area: Sport and exercise (w4) 147

w4_507_02 Potential area: Culture and music (w4) 148

w4_507_03 Potential area: Leisure and social interaction (w4) 148

w4_507_04 Potential area: Social area (w4) 149

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w4_507_05 Potential area: Health area (w4) 149

w4_507_06 Potential area: School or nursery area (w4) 150

w4_507_07 Potential area: Youth work outside school or adult education (w4) 150

w4_507_08 Potential area: Environment, nature protection or animal rights (w4) 151

w4_507_09 Potential area: Politics and political interest groups (w4) 151

w4_507_10 Potential area: Professional interest groups outside work (w4) 152

w4_507_11 Potential area: Church or religious area (w4) 152

w4_507_12 Potential area: Justice and criminality (w4) 153

w4_507_13 Potential area: Accident or ambulance service, voluntary fire brigade (w4) 153

w4_507_14 Potential area: Area not yet mentioned (w4) 154

SET OF QUESTIONS 600: INFORMAL SUPPORT (INCL. DONATION) .......................... 154

w4_601 Do you care for or look after children, who are not your own (w4) 154

w4_602_1 Child care: children of relatives (w4) 155

w4_602_2 Child care: children of neighbours (w4) 155

w4_602_3 Child care: children of friends (w4) 156

w4_602_4 Child care: children of acquaintances or others (w4) 156

w4_603 How often on average did you care for or look after these children (w4) 157

w4_604_a_1 Child care: Hours a day (w4) 157

w4_604_a_2 Child care: Minutes a day (w4) 158

w4_604_b_1 Child care: Hours a week (w4) 158

w4_604_b_2 Child care: Minutes a week (w4) 159

w4_604_c_1 Child care: Hours a month (w4) 159

w4_604_c_2 Child care: Minutes a month (w4) 160

w4_604_d_1 Child care: Hours a year (w4) 160

w4_604_d_2 Child care: Minutes a year (w4) 161

w4_605 Do you care for persons in a private context and without payments (w4) 161

w4_606_1 Nursing care duties: Basic care (w4) 162

w4_606_2 Nursing care duties: Household chores (w4) 162

w4_606_3 Nursing care duties: To look after this person (w4) 163

w4_607_1 Nursing care: Is it relatives (w4) 163

w4_607_2 Nursing care: Is it neighbours (w4) 164

w4_607_3 Nursing care: Is it friends (w4) 164

w4_607_4 Nursing care: Is it aquaintances or others (w4) 165

w4_608 How often on average did you care for or look after these persons (w4) 165

w4_609_a_1 Nursing care: Hours a day (w4) 166

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w4_609_a_2 Nursing care: Minutes a day (w4) 167

w4_609_b_1 Nursing care: Hours a week (w4) 167

w4_609_b_2 Nursing care: Minutes a week (w4) 168

w4_609_c_1 Nursing care: Hours a month (w4) 168

w4_609_c_2 Nursing care: Minutes a month (w4) 169

w4_609_d_1 Nursing care: Hours a year (w4) 169

w4_609_d_2 Nursing care: Minutes a year (w4) 170

w4_610 Nursing care: Does this person/one of these people live in your household (w4) 170

w4_611 Do you mainly care for or take care by yourself these persons (w4) 171

w4_612 Have you taken on the legal guardianship for someone on a voluntary basis (w4) 171

w4_613 Are there other people outside your household, who you help (w4) 172

w4_614_1 Instrumental help: Is it relatives (w4) 172

w4_614_2 Instrumental help: Is it neighbours (w4) 173

w4_614_3 Instrumental help: Is it friends (w4) 173

w4_614_4 Instrumental help: Is it aquaintances or others (w4) 174

w4_615 How often did you help these people (w4) 174

w4_616_a_1 Instrumental help: Hours a day (w4) 175

w4_616_a_2 Instrumental help: Minutes a day (w4) 176

w4_616_b_1 Instrumental help: Hours a week (w4) 177

w4_616_b_2 Instrumental help: Minutes a week (w4) 178

w4_616_c_1 Instrumental help: Hours a month (w4) 178

w4_616_c_2 Instrumental help: Minutes a month (w4) 179

w4_616_d_1 Instrumental help: Hours a year (w4) 179

w4_616_d_2 Instrumental help: Minutes a year (w4) 180

w4_617 Have you made donations in the last 12 months (w4) 180

w4_618 Donation: Up to and including or over 100 euro (w4) 181

w4_619 Donation: Up to and including or over 500 euro (w4) 181

w4_620 Donation: Up to and including or over 1,000 euro (w4) 182

SET OF QUESTIONS 700: LIVING SITUATION, PERSONAL DETAILS II ....................... 182

w4_701 How strongly do you feel you belong to the society in Germany (w4) 182

w4_702 Circle of friends: Mostly people with an immigrant background or not (w4) 183

w4_703_1 German language: To cope with shopping in German shops (w4) 183

w4_703_2 German language: Take part in a German conversation (w4) 184

w4_703_3 German language: Follow German TV or radio without problems (w4) 184

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w4_703_4 German language: Handle every day matters independently with authorities (w4) 185

w4_704 Which language do you mainly speak when you carry out your activity (w4) 185

w4_705 Aged 20 and above: Parents doing voluntary work at your childhood/youth (w4) 186

w4_706 Aged under 20: Parents doing voluntary work at your childhood/youth (w4) 186

w4_707 Were both of your parents born in Germany (w4) 187

w4_712 Does your mother have the German nationality (w4) 187

w4_713 Does your father have the German nationality (w4) 188

w4_714 Do you have enough time left for other things after every day obligations (w4) 188

w4_715 Most people can be trusted (w4) 189

w4_716_1 Self-efficacy expectation: No problems realising my intentions and goals (w4) 189

w4_716_2 Self-efficacy expectation: Confronted with new, know how to handle (w4) 190

w4_716_3 Self-efficacy expectation: Problem occurs, I can deal with it by myself (w4) 190

w4_717 I am satisfied with my life (w4) 191

w4_718 How do you rate your current state of health (w4) 191

w4_719 To what extent are you permanently restricted by illness in everyday work (w4) 192

w4_720_1 Values: Power and influence (w4) 192

w4_720_2 Values: Imagination and creativity (w4) 193

w4_720_3 Values: Security (w4) 193

w4_720_4 Values: Help people (w4) 194

w4_720_5 Values: Respecting law and order (w4) 194

w4_720_6 Values: Enjoying the good things (w4) 195

w4_721 Rating of financial situation (w4) 195

w4_722 Total monthly net income: Up to and including or over 2,000 euro (w4) 196

w4_723 Total monthly net income: Up to and including or over 1,000 euro (w4) 196

w4_724 Total monthly net income: Up to and including or over 3,000 euro (w4) 197

w4_725 Total monthly net income: Up to and including or over 4,000 euro (w4) 197

GENERATED AND ADDED VARIABLES 2 ...................................................................... 198

w4_altgr4 Age group, 4-stage (w4) 198

w4_altgr13 Age group, 13-stage (w4) 198

w4_geschlecht Gender (w4) 199

w4_schulab Highest school-leaving qualification (w4) 199

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w4_isced Level of education related to ISCED 1997 (w4) 200

w4_isced3 Level of education related to ISCED 1997, 3-stage (w4) 201

w4_erwst Employment status (w4) 201

w4_erwt_d Employment status, Dummy (w4) 202

w4_nerwt Second job of non-employed people (w4) 202

w4_stib Professional position (w4) 203

w4_hhkons Household constellation (w4) 204

w4_hheink Monthly net household income (w4) 204

w4_gebland Country of birth: Respondent (w4) 205

w4_gebland_mut Country of birth: Mother (w4) 207

w4_gebland_vat Country of birth: Father (w4) 209

w4_gebreg Region of birth: Respondent (w4) 212

w4_gebreg_mut Region of birth: Mother (w4) 212

w4_gebreg_vat Region of birth: Father (w4) 213

w4_mig_destatis Migrant background: 5-stage, related to Statistisches Bundesamt 2013 (w4) 213

w4_mig_gen_1 Migration background: Dummy, own migrant experience in 1st generation (w4) 214

w4_mig_gen_1_2 Migration background: Dummy, migrant experience in 1st or 2nd generation (w4) 214

w4_eng Volunteering-Dummy (w4) 215

w4_agrad Level of voluntary activity (w4) 215

w4_anz_eng Number of voluntary activities (w4) 216

w4_ber_zeitaufw Area of the most time-consuming voluntary activity (w4) 217

w4_eint Interest in volunteering by volunteers and non-volunteers (w4) 217

w4_std_eng_zeitaufw Hours spent on most time-consuming activity a year (w4) 218

w4_std_eng_ges Hours for all voluntary activites a year (w4) 218

w4_verguetung Amount of payments per month (w4) 219

w4_iul_ges Informal support, total (w4) 219

w4_iul_kind Informal support: Child care (w4) 220

w4_iul_pflege Informal support: Nursing care (w4) 220

w4_iul_hilfe Informal support: Instrumental help (w4) 221

w4_iul_std_ges Hours spent on informal support a year (w4) 221

w4_iul_std_kind Hours spent on child care a year (w4) 222

w4_iul_std_pflege Hours spent on nursing care a year (w4) 222

w4_iul_std_hilfe Hours spent on instrumental help a year (w4) 223

w4_geldspende Amount of money donated in the last year (w4) 223

w4_fd_ges Voluntary service: Current or finished, dummy (w4) 224

w4_fd_ges_abg Voluntary serice: Finished, dummy (w4) 224

w4_fd_bufdi Federal voluntary service (Bundesfreiwilligendienst): Current/finished (w4) 225

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w4_fd_jug Youth voluntary service (Jugendfreiwilligendienst): Current/finished (w4) 225

w4_fd_sonst Other voluntary service: Current/finished (w4) 226

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ANNOTATIONS

Version information

File name SUF FWS 2014,Version 1.2, DOI 10.5156/FWS.2014.M.003

Number of observations 28.690 Number of variables 397400

Scientific Use File (SUF) of the German Survey on Volunteering (FWS 2014), revised and supplemented version. Editor: Research Data Centre of the German Centre of Gerontology (FDZ-DZA), Berlin. Documentary material is available at http://www.dza.de/en/fdz.

Note

The arithmetic mean, minimum, maximum, median as well as the first and the third quartile are given for the following variables instead of all value labels and frequencies:

w4_alter, w4_105, w4_118, w4_134, w4_155, w4_302, w4_306_b_1, w4_306_c_1, w4_306_d_1, w4_423_b_1, w4_423_c_1, w4_423_d_1, w4_437, w4_502, w4_604_b_1, w4_604_c_1, w4_604_d_1, w4_609_b_1, w4_609_c_1, w4_609_d_1, w4_616_c_1, w4_616_d_1, w4_std_eng_zeitaufw, w4_std_eng_ges, w4_iul_std_ges, w4_iul_std_kind, w4_iul_std_pflege, w4_iul_std_hilfe

The frequenciesof respondents’ID-number as well as frequencies for the individual and activity weighting factor are not included:

w4_idp, w4_pgew, w4_pgew2

Openly coded answers are not reported in this codebook: w4_oa_orga, w4_oa_taet, w4_oa_name

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Classification of missing values codes

Five separate missing value codes have been assigned consistently to all variables and used to differentiate the missing values of all data sets. The following counting was created with the stata version of the SUF. The missing labels differ in SPSS format.

Stata SPSS Value Label Comment

.a -1 Refusal The respondent has refused to answer the question.

.b -2 Do not know The respondent replied with "Don’t know".

.c -3 Does not apply The respondent was not asked this question because it did not fit the situation of this person for reasons of content (filtered).

.d -4 Deleted during data editing

This value was coded as missing in the course of data edition by the FDZ-DZA or Infratest (e.g. due to inconsistency).

.e -5 For technical reasons not available

This Value is not available because of technical reasons during the data collection.

Contact and Support

Please contact us if you have any questions regarding the use of German Survey on Volunteering (FWS) data:

Nicole Hameister Research Scientist nicole.hameister @dza.de Telephone: 030/ 260 740-20 Adress: German Centre of Gerontology (Deutsches Zentrum für Altersfragen) Research Data Centre (FDZ-DZA) Manfred-von-Richthofen-Straße 2 12101 Berlin

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Survey instruments 2014

The questionnaire has been split in different sets of questions, which have been directed at all respondents (100, 200, 600, 700, 800) and solely at volunteering (300, 400) or non-volunteering (500) persons. An overview can be found in Figure 1.

Figure 1: Interview process of the FWS 2014

Volunteers Non-Volunteers

Set of questions 100 Personal details I

Set of questions 200 Activity and volunteering query

Set of questions 300 Volunteering in general

Set of questions 500 Earlier volunteering and volunteering potential Set of questions 400

Most time-consuming voluntary activity Set of questions 600

Informal support Set of questions 700

Living situation, personal details II

Set of questions 800 Year of birth, telephone connections, Postal code

Source: Own illustration. Set of questions 800 is because of data protection not part of the SUF FWS 2014.

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GENERATED AND ADDED VARIABLES 1

w4_teilstp Subsample mobile phone network or landline (w4)

type: numeric (byte) label: label108_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690

tabulation: Freq. Numeric Label 8253 1 Base: Landline proportional 8420 2 Base: Landline disproportional 8389 3 Base: Mobile phone 3628 4 Addition

w4_sprache Language at the beginning of the phone call (w4)

type: numeric (byte) label: label104_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 47 1 Arabic 27985 2 German 129 3 English 88 4 Polish 326 5 Russian 115 6 Turkish

w4_intsprache Language of the interview (w4)

type: numeric (byte) label: label104_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 38 1 Arabic 28034 2 German 121 3 English 83 4 Polish 315 5 Russian 99 6 Turkish

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w4_ostwest Dummy: Federal states of the former East and the former West Germany (w4)

type: numeric (byte) label: label101_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 9776 1 New Federal States including Berlin 18914 2 Old Federal States

w4_gkbik10 Municipality size BIK 1-10 (Sys:753) (w4)

type: numeric (byte) label: label14_w4_en

range: [1,10] units: 1 unique values: 10 missing .: 0/28690 unique mv codes: 1 missing .*: 1210/28690

tabulation: Freq. Numeric Label 330 1 Under 2,000 inhabitants 735 2 2,000 to under 5,000 inhabitants 2165 3 5,000 to under 20,000 inhabitants 3009 4 20,000 to under 50,000 inhabitants 1976 5 50,000 to under 100,000 inhabitants + SGTYP 2/3/4 659 6 50,000 to under 100,000 inhabitants + SGTYP 1 3518 7 100,000 to under 500,000 inhabitants + SGTYP 2/3/4 4232 8 100,000 to under 500,000 inhabitants + SGTYP 1 2140 9 500,000 inhabitants and more + SGTYP 2/3/4 8716 10 500,000 inhabitants and more + SGTYP 1 1210 .c Does not apply

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w4_bbsr_regtyp BBSR region type (BBSR Regionstyp) (w4)

type: numeric (byte) label: label113_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 1 missing .*: 1302/28690

tabulation: Freq. Numeric Label 12782 1 Urban regions 7212 2 Regions with first signs of urbanization 7394 3 Rural regions 1302 .c Does not apply

w4_bbsr_krstyp BBSR district type (BBSR Kreistyp) (w4)

type: numeric (byte) label: label112_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28,690 unique mv codes: 1 missing .*: 1302/28690

tabulation: Freq. Numeric Label 9879 1 County-free cities 8236 2 Urban counties 4367 3 Rural counties with first signs of densification 4906 4 Marginal settled rural counties 1302 .c Does not apply

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w4_bbsr_diffregtyp BBSR adjusted region type (differenzierter Regionstyp) (w4)

type: numeric (byte) label: label111_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28,690 unique mv codes: 1 missing .*: 1302/28690

tabulation: Freq. Numeric Label 18115 1 Urban area 9273 2 Rural area 1302 .c Does not apply

w4_alter Age (w4)

type: numeric (byte) label: misslab_en, but 81 nonmissing values are not labeled range: [14,94] units: 1 unique values: 81 missing .: 0/28690 tabulation: Freq. Numeric Label 28690 14 - 90 Variable: mean min quartile1 median quartile3 max 50.71408 14 37 52 65 94

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w4_bula Federal State (Bundesland) (w4)

type: numeric (byte) label: label15_en

range: [1,16] units: 1 unique values: 16 missing .: 0/28,690

tabulation: Freq. Numeric Label 1176 1 Schleswig-Holstein 1716 2 Hamburg 1930 3 Lower Saxony 1256 4 Bremen 3543 5 North Rhine-Westphalia 1626 6 Hesse 1400 7 Rhineland-Palatinate 2176 8 Baden-Wuerttemberg 2975 9 Bavaria 1116 10 Saarland 1920 11 Berlin 1536 12 Brandenburg 1638 13 Mecklenburg-West Pomerania 1608 14 Saxony 1630 15 Saxony-Anhalt 1444 16 Thuringia

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SET OF QUESTIONS 100: PERSONAL DETAILS I

w4_101 Gender (w4)

type: numeric (byte) label: label16_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 13069 1 Male 15621 2 Female

w4_102 Respondent's country of birth, Germany (w4)

type: numeric (byte) label: label115_en

range: [1,8] units: 1 unique values: 8 missing .: 0/28690 unique mv codes: 2 missing .*: 137/28690

tabulation: Freq. Numeric Label 5040 1 Germany (including former Eastern territories) 607 2 Soviet Occupation Zone 795 3 American, British or French Occupation Zone 6028 4 German Democratic Republic (GDR) 10620 5 Federal Republic of Germany (FRG) 816 6 New Federal States or in Berlin 1769 7 Old Federal States 2878 8 Different country 9 .a Refusal 128 .b Do not know

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w4_105 In what year did you move to Germany (w4)

type: numeric (int) label: misslab_en, but 70 nonmissing values are not labeled

range: [1938,2014] units: 1 unique values: 70 missing .: 0/28690 unique mv codes: 3 missing .*: 25857/28690

tabulation: Freq. Numeric Label 2833 1938-2014 14 .a Refusal 31 .b Do not know 25812 .c Does not apply

Variable: mean min quartile1 median quartile3 max 1990.792 1938 1938 1938 2002 2014

w4_106 How many people are there in total in your household, include yourself (w4)

type: numeric (byte) label: misslab_en, but 15 nonmissing values are not labeled

range: [1,26] units: 1 unique values: 15 missing .: 0/28690 unique mv codes: 2 missing .*: 37/28690

tabulation: Freq. Numeric Label 7867 1 1 10824 2 2 4326 3 3 3735 4 4 1275 5 5 388 6 6 123 7 7 59 8 8 16 9 9 10 10 10 7 11 11 6 12 12 6 14 14 6 22 22 5 26 26 27 .a Refusal 10 .b Do not know

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w4_107 Leben im Haushalt Personen unter 18 Jahren (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 7879/28690

tabulation: Freq. Numeric Label 6924 1 Yes 13887 2 No 10 .a Refusal 2 .b Do not know 7867 .c Does not apply

w4_108_1 Number of children in the household: Under 3 years (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled

range: [0,3] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 21768/28690

tabulation: Freq. Numeric Label 5450 0 0 1334 1 1 127 2 2 11 3 3 2 .a Refusal 21766 .c Does not apply

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w4_108_2 Number of children in the household: 3 to under 6 years (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled range: [0,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 21768/28690

tabulation: Freq. Numeric Label 5243 0 0 1495 1 1 168 2 2 16 4 4 2 .a Refusal 21766 .c Does not apply

w4_108_3 Number of children in the household: 6 to under 14 years (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,6] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 2 missing .*: 21768/28690

tabulation: Freq. Numeric Label 2882 0 0 2787 1 1 1054 2 2 174 3 3 20 4 4 5 6 6 2 .a Refusal 21766 .c Does not apply

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w4_108_4 Number of Persons in the household: People from 14 to under 18 years (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,5] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 3 missing .*: 21,769/28690

tabulation: Freq. Numeric Label 4441 0 0 2006 1 1 427 2 2 35 3 3 7 4 4 5 5 5 2 .a Refusal 1 .b Do not know 21766 .c Does not apply

w4_109 Persons under 18 years in the household: own children/ren (w4)

type: numeric (byte) label: label02n_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 1 missing .*: 22537/28690 tabulation: Freq. Numeric Label 5309 1 Yes, own children 129 2 Both, own children as well as other children 715 3 No 22537 .c Does not apply

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w4_110 Do you yourself care for or look after this child/these children (w4)

type: numeric (byte) label: label01q_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 24116/28690

tabulation: Freq. Numeric Label 3388 1 Yes, predominantly 785 2 Partly 401 3 No, mainly by others 4 .a Refusal 10 .b Do not know 24102 .c Does not apply

w4_111 Marital status (w4)

type: numeric (byte) label: label116_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 1319/28690

tabulation: Freq. Numeric Label 14022 1 Married/in a registered civil partnership 3086 2 Divorced 2894 3 Widowed 7369 4 Single/unmarried 34 .a Refusal 20 .b Do not know 1265 .c Does not apply

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w4_112 Are you currently in a solid partnership (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 15425/28690

tabulation: Freq. Numeric Label 4875 1 Yes 8390 2 No 66 .a Refusal 18 .b Do not know 15341 .c Does not apply

w4_113 Do you live with your partner (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 11682/28690

tabulation: Freq. Numeric Label 15884 1 Yes 1124 2 No 4 .a Refusal 5 .b Do not know 11673 .c Does not apply

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w4_114 Employment status (w4)

type: numeric (byte) label: label17_w4_en

range: [1,10] units: 1 unique values: 10 missing .: 0/28690 unique mv codes: 2 missing .*: 54/28690

tabulation: Freq. Numeric Label 14086 1 Employed 1021 2 Registered unemployed 2969 3 A pupil, an apprentice, a university student 417 4 On parental leave/maternity leave 955 5 Housewife/house husband 8454 6 Pensioner/retired person 10 7 In voluntary military service 42 8 In voluntary service 116 9 In retraining/further training 566 10 Not employed for other reasons 20 .a Refusal 34 .b Do not know

w4_115 Employed: full-time/part-time/marginal employment (w4)

type: numeric (byte) label: label117_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 14649/28690

tabulation: Freq. Numeric Label 10470 1 A full-time job 3081 2 A part-time job 490 3 Marginal employment or a Minijob, a so-called 400- or 450-Euro job 9 .a Refusal 36 .b Do not know 14604 .c Does not apply

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w4_116 Type of voluntary service (w4)

type: numeric (byte) label: label118_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 28649/28690

tabulation: Freq. Numeric Label 12 1 Bundesfreiwilligendienst (Federal voluntary service) 19 2 Freiwilliges Soziales Jahr (Voluntary social year)

2 3 Freiwilliges Oekologisches Jahr (Voluntary ecological year)

8 4 Other voluntary service 1 .b Do not know 28648 .c Does not apply

w4_118 Duration of employment status in years

type: numeric (byte) label: misslab_en, but 63 nonmissing values are not labeled

range: [0,71] units: 1 unique values: 63 missing .: 0/28690 unique mv codes: 3 missing .*: 5212/28690

tabulation: Freq. Numeric Label 23475 0-71 21 .a Refusal 213 .b Do not know 4978 .c Does not apply

Variable: mean min quartile1 median quartile3 max 15.55064 0 5 13 24 71

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w4_119 Unemployment benefit 1 or unemployment benefit 2 (Hartz IV) (w4)

type: numeric (byte) label: label18_w4_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 27684/28690

tabulation: Freq. Numeric Label 279 1 Unemployment benefit 1 587 2 Unemployment benefit 2, so-called Hartz IV 13 3 Both benefits 127 4 Neither of the benefits mentioned 2 .a Refusal 13 .b Do not know 27669 .c Does not apply

w4_120 Current type of (vocational) education (w4)

type: numeric (byte) label: label19_w4_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 25742/28690

tabulation: Freq. Numeric Label 1313 1 Mainstream school

1033 2 University or university of applied sciences/ technical college

602 3 Company-based or vocational training 21 .b Do not know 25721 .c Does not apply

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w4_121 Current type of school (w4)

type: numeric (byte) label: label20_w4_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 2 missing .*: 27380/28690

tabulation: Freq. Numeric Label 18 1 Special needs school (Foerderschule) 82 2 Lower secondary school (Hauptschule) 299 3 Intermediate secondary school (Realschule) 33 4 School type with several educational pathways

121 5 Integrated comprehensive school (Integrierte Gesamtschule)

679 6 Upper secondary school/grammar school (Gymnasium) 78 7 Other type of school 3 .b Do not know 27377 .c Does not apply

w4_122 Are you planning to do A-Levels (Abitur) (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27897/28690

tabulation: Freq. Numeric Label 759 1 Yes 34 2 No 7 .b Do not know 27890 .c Does not apply

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w4_123 Are you planning to do A-Levels after 13th or 12th class (w4)

type: numeric (byte) label: label119_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27939/28690

tabulation: Freq. Numeric Label 224 1 After the 13th class 527 2 After the 12th class 8 .b Do not know 27931 .c Does not apply

w4_124 Last school: Country (w4)

type: numeric (byte) label: label120_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 1322/28690

tabulation: Freq. Numeric Label 25545 1 In Germany 1823 2 In another country 3 .a Refusal 6 .b Do not know 1313 .c Does not apply

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w4_125 School attendance in Germany: Highest school qualification (w4)

type: numeric (byte) label: label53_w4_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 3 missing .*: 3226/28690

tabulation: Freq. Numeric Label 5195 1 Primary or lower secondary school with qualification

8th class 8966 2 GCSE, intermediate secondary school (Realschulabschluss) qualification with qualification 10th class

2605 3 Advanced Technical College Entrance Qualification (qualification usually after the 12th or 11th class (if not A-Level)), qualification from vocational schools, specialist college, specialist A-Level

8345 4 A-Level (Abitur), Qualification from an extended secondary school (erweiterte Oberschule,EOS), University Entrance Qualification

199 5 Another qualification 154 6 No qualification 35 .a Refusal 46 .b Do not know 3145 .c Does not apply

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w4_126 School attendance abroad: Number of school years (w4)

type: numeric (byte) label: misslab_en, but 20 nonmissing values are not labeled

range: [1,20] units: 1 unique values: 20 missing .: 0/28690 unique mv codes: 3 missing .*: 26887/28690

tabulation: Freq. Numeric Label 13 1 1 5 2 2 17 3 3 19 4 4 48 5 5 31 6 6 33 7 7 141 8 8 68 9 9 426 10 10 192 11 11 395 12 12 153 13 13 82 14 14 62 15 15 42 16 16 33 17 17 27 18 18 8 19 19 8 20 20 2 .a Refusal 18 .b Do not know 26867 .c Does not apply

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w4_127 School attendance abroad: Qualification degree (w4)

type: numeric (byte) label: label121_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 26909/28690

tabulation: Freq. Numeric Label 139 1 Leave school without a qualification 523 2 Finish compulsory school with a qualification 1119 3 Complete a higher secondary school with a qualification 2 .a Refusal 40 .b Do not know 26867 .c Does not apply

w4_128 Completed vocational training/university studies (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 2986/28690

tabulation: Freq. Numeric Label 23481 1 Yes 2223 2 No 7 .a Refusal 10 .b Do not know 2969 .c Does not apply

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w4_129 Vocational training/university studies: Country (w4)

type: numeric (byte) label: label122_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 5212/28690

tabulation: Freq. Numeric Label 21810 1 Germany 1144 2 Abroad 524 3 Both in Germany and abroad 1 .a Refusal 2 .b Do not know 5209 .c Does not apply

w4_130 Highest vocational degree in Germany (w4)

type: numeric (byte) label: label123_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 3 missing .*: 6446/28690

tabulation: Freq. Numeric Label 10817 1 Qualification: Vocational training 3762 2 Qualification: Technical school

178 3 Qualification: Civil servant training (low/medium-grade service)

150 4 Qualification: Civil servant training (higher-grade service) 6713 5 Qualification: College,university 421 6 Qualification: Doctorate/PhD,Post-Doctorate (Habilitation) 203 7 Qualification: Another 20 .a Refusal 70 .b Do not know 6356 .c Does not apply

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w4_131 Highest vocational degree abroad (w4)

type: numeric (byte) label: label124_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 27547/28690

tabulation: Freq. Numeric Label 449 1 Qualification from vocational training

635 2 University or university of applied sciences/technical college

59 3 Other 1 .b Do not know 27546 .c Does not apply

w4_132 Are you involved occasionally/regularly in a paid activity to earn money (w4)

type: numeric (byte) label: label02e_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 14117/28690

tabulation: Freq. Numeric Label 1774 1 Yes, regularly 1274 2 Yes, occasionally 11525 3 No 10 .a Refusal 11 .b Do not know 14096 .c Does not apply

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w4_133 Is this marginal employment or a Minijob, so-called 400- or 450-Euro job (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 25666/28690

tabulation: Freq. Numeric Label 1943 1 Yes 1081 2 No 2 .a Refusal 22 .b Do not know 25642 .c Does not apply

w4_134 How many hours on average is your weekly working time (w4)

type: numeric (byte) label: misslab_en, but 69 nonmissing values are not labeled

range: [0,80] units: 1 unique values: 69 missing .: 0/28690 unique mv codes: 3 missing .*: 11923/28690

tabulation: Freq. Numeric Label 16767 0 – 80 40 .a Refusal 327 .b Do not know 11556 .c Does not apply

Variable: mean min quartile1 median quartile3 max 35.68259 0 25 40 45 80

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w4_135 Were you gainfully employed in the past (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 15417/28690

tabulation: Freq. Numeric Label 11128 1 Yes 2145 2 No 4 .a Refusal 14 .b Do not know 15399 .c Does not apply

w4_136 Professional position (w4)

type: numeric (byte) label: label43_w4_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 3 missing .*: 3568/28690

tabulation: Freq. Numeric Label 4298 1 Blue-collar worker 15556 2 White-collar worker 2150 3 Civil servant 587 4 Independent academic 2135 5 Self-employed 396 6 Other 14 .a Refusal 78 .b Do not know 3476 .c Does not apply

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w4_137 Professional position: Blue-collar worker (w4)

type: numeric (byte) label: label66_w4_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 24444/28690

tabulation: Freq. Numeric Label 1768 1 Unskilled or semi-skilled worker 1962 2 Skilled worker 395 3 Foreman, brigadier, group leader 121 4 Master, general foreman 1 .a Refusal 51 .b Do not know 24392 .c Does not apply

w4_138 Professional position: White-collar worker (w4)

type: numeric (byte) label: label125_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 13416/28690

tabulation: Freq. Numeric Label 2172 1 With a simple activity 7491 2 With qualified activity 4793 3 With highly qualified activity or management function

818 4 With extensive management duties and decision-making powers

17 .a Refusal 265 .b Do not know 13134 .c Does not apply

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w4_139 Professional position: Civil servant (w4)

type: numeric (byte) label: label68_w4_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 26676/28690

tabulation: Freq. Numeric Label 56 1 Ordinary service 528 2 Middle grade 825 3 Higher grade 605 4 Higher service 2 .a Refusal 134 .b Do not know 26540 .c Does not apply

w4_140 Professional position: Self-employed, academic (w4)

type: numeric (byte) label: label69_w4_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 25990/28690

tabulation: Freq. Numeric Label 1185 1 Without employees 1097 2 With 1 to 9 employees 418 3 With 10 and more employees 1 .a Refusal 21 .b Do not know 25968 .c Does not apply

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w4_141 Do you have German citizenship (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 12/28690

tabulation: Freq. Numeric Label 27193 1 Yes 1485 2 No 2 .a Refusal 10 .b Do not know

w4_142 Have you had German citizenship since birth (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 1531/28690

tabulation: Freq. Numeric Label 25695 1 Yes 1464 2 No 2 .a Refusal 32 .b Do not know 1497 .c Does not apply

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w4_143 How did you acquire German citizenship (w4)

type: numeric (byte) label: label50_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 27312/28690

tabulation: Freq. Numeric Label 737 1 By naturalisation 519 2 By recognition as Repatriate (Aussiedler/in) 122 3 Other 5 .a Refusal 81 .b Do not know 27226 .c Does not apply

w4_144 Men: compulsory/voluntary military service; civilian/community service (w4)

type: numeric (byte) label: label126_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 3 missing .*: 18391/28690

tabulation: Freq. Numeric Label 3741 1 Yes, compulsory military service 1096 2 Yes, voluntary military service 1009 3 Yes, civilian/community service 341 4 Yes, other alternative service 4112 5 No, none of them 10 .a Refusal 6 .b Do not know 18375 .c Does not apply

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w4_145 Women: Did you do voluntary military service (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 28226/28690

tabulation: Freq. Numeric Label 9 1 Yes 455 2 No 1 .b Do not know 28225 .c Does not apply

w4_146 Did you ever do a voluntary service (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 1343/28690

tabulation: Freq. Numeric Label 866 1 Yes 26481 2 No 5 .a Refusal 39 .b Do not know 1299 .c Does not apply

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w4_147 Which voluntary service did you do (w4)

type: numeric (byte) label: label118_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 4 missing .*: 27840/28690

tabulation: Freq. Numeric Label 102 1 Bundesfreiwilligendienst (Federal voluntary service) 538 2 Freiwilliges Soziales Jahr (Voluntary social year)

28 3 Freiwilliges Oekologisches Jahr (Voluntary ecological year)

182 4 Other voluntary service 1 .a Refusal 15 .b Do not know 27718 .c Does not apply 106 .d Deleted during data editing

w4_149 There are enough people that I feel very close to (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 270/28690

tabulation: Freq. Numeric Label 17492 1 Fully applies 4708 2 Partially applies 4922 3 Partly 769 4 Applies less 529 5 Doesn’t apply at all 36 .a Refusal 234 .b Do not know

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w4_150 If you need help: Are there any people you can turn to (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 218/28690

tabulation: Freq. Numeric Label 25167 1 Yes 3305 2 No 12 .a Refusal 206 .b Do not know

w4_151_1 Ask for help outside the household: Relatives (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 3546/28690

tabulation: Freq. Numeric Label 21007 1 Yes 4137 2 No 8 .a Refusal 15 .b Do not know 3523 .c Does not apply

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w4_151_2 Ask for help outside the household: Neighbours (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 3637/28690

tabulation: Freq. Numeric Label 15745 1 Yes 9308 2 No 9 .a Refusal 105 .b Do not know 3523 .c Does not apply

w4_151_3 Ask for help outside the household: Friends (w4)

type: numeric (byte) label: label01a_en range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 3564/28690 tabulation: Freq. Numeric Label 22633 1 Yes 2493 2 No 5 .a Refusal 36 .b Do not know 3523 .c Does not apply

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w4_151_4 Ask for help outside the household: Acquaintance or other people (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 3664/28690

tabulation: Freq. Numeric Label 16481 1 Yes 8545 2 No 10 .a Refusal 131 .b Do not know 3523 .c Does not apply

w4_152 Do you belong to a denomination or religious group (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 54/28690

tabulation: Freq. Numeric Label 15683 1 Yes 12953 2 No 28 .a Refusal 26 .b Do not know

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w4_153 Which denomination or religious group is that (w4)

type: numeric (byte) label: label26_w4_en

range: [1,11] units: 1 unique values: 11 missing .: 0/28690 unique mv codes: 3 missing .*: 13113/28690

tabulation: Freq. Numeric Label 6276 1 Roman Catholic Church 7906 2 Protestant Church (also Protetstant reformed) 286 3 Protestant Free Church 513 4 Islamic religious association 38 5 Judaism 215 6 Christian-Orthodox Church 67 7 New Apostolic Church 61 8 Jehova's Witnesses 37 9 Buddhism 23 10 Hinduism 155 11 Other 60 .a Refusal 46 .b Do not know 13007 .c Does not apply

w4_154 Denomination or religious group: how closely do you feel connected to (w4)

type: numeric (byte) label: label03d_w4_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 13085/28690

tabulation: Freq. Numeric Label 3112 1 Strongly 6779 2 Average 3776 3 Little 1938 4 Not at all 24 .a Refusal 54 .b Do not know 13007 .c Does not apply

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w4_155 How long have you been living at your current residence (w4)

type: numeric (byte) label: misslab_en, but 91 nonmissing values are not labeled

range: [0,92] units: 1 unique values: 91 missing .: 0/28690 unique mv codes: 2 missing .*: 109/28690

tabulation: Freq. Numeric Label 28581 0-92 37 .a Refusal 72 .b Do not know

Variable: mean min quartile1 median quartile3 max 24.60299 0 8 19 39 92

w4_156 How good is the social cohesion in your neighbourhood (w4)

type: numeric (byte) label: label03l_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 986/28690

tabulation: Freq. Numeric Label 7437 1 Very good 9248 2 Rather good 8467 3 Average 1955 4 Rather poor 597 5 Very poor 41 .a Refusal 945 .b Do not know

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w4_157 Member of any non-profit club, association or organisation (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 28/28690

tabulation: Freq. Numeric Label 12589 1 Yes 16073 2 No 6 .a Refusal 22 .b Do not know

w4_158_1 Political activity: Political office or political responsibility (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 38/28690

tabulation: Freq. Numeric Label 3036 1 Yes 25616 2 No 17 .a Refusal 21 .b Do not know

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w4_158_2 Political activity: Signed signature collections (incl. online petitions) (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 143/28690

tabulation: Freq. Numeric Label 13116 1 Yes 15431 2 No 15 .a Refusal 128 .b Do not know

w4_158_3 Political activity: Taken part in a demonstration (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 42/28690

tabulation: Freq. Numeric Label 10630 1 Yes 18018 2 No 15 .a Refusal 27 .b Do not know

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w4_158_4 Political activity: Been involved in a citizens' initiative (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 117/28690

tabulation: Freq. Numeric Label 6834 1 Yes 21739 2 No 10 .a Refusal 107 .b Do not know

w4_159 Did you take part in the general election (Bundestagswahl) 2013 (w4)

type: numeric (byte) label: label01s_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 2760/28690

tabulation: Freq. Numeric Label 22399 1 Yes 3431 2 No 100 3 Not entitled to vote 30 .a Refusal 63 .b Do not know 2667 .c Does not apply

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SET OF QUESTIONS 200: ACTIVITY AND VOLUNTEERING QUERY

w4_201_01 Actively participate: Sport and exercise (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 19/28690

tabulation: Freq. Numeric Label 12608 1 Yes 16063 2 No 2 .a Refusal 17 .b Do not know

w4_201_02 Actively participate: Culture and music (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 12/28690

tabulation: Freq. Numeric Label 5452 1 Yes 23226 2 No 1 .a Refusal 11 .b Do not know

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w4_201_03 Actively participate: Leisure and social interaction (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 14/28690

tabulation: Freq. Numeric Label 4556 1 Yes 24120 2 No 1 .a Refusal 13 .b Do not know

w4_201_04 Actively participate: Social area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 18/28690

tabulation: Freq. Numeric Label 4466 1 Yes 24206 2 No 3 .a Refusal 15 .b Do not know

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w4_201_05 Actively participate: Health area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 13/28690

tabulation: Freq. Numeric Label 1956 1 Yes 26721 2 No 4 .a Refusal 9 .b Do not know

w4_201_06 Actively participate: School or nursery area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 12/28690

tabulation: Freq. Numeric Label 3835 1 Yes 24843 2 No 3 .a Refusal 9 .b Do not know

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w4_201_07 Actively participate: Youth work outside school or adult education (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 13/28690

tabulation: Freq. Numeric Label 2500 1 Yes 26177 2 No 5 .a Refusal 8 .b Do not know

w4_201_08 Actively participate: Environment, nature protection or animal rights (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 16/28690

tabulation: Freq. Numeric Label 2544 1 Yes 26130 2 No 7 .a Refusal 9 .b Do not know

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w4_201_09 Actively participate: Politics and political interest groups (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 18/28690

tabulation: Freq. Numeric Label 2023 1 Yes 26649 2 No 9 .a Refusal 9 .b Do not know

w4_201_10 Actively participate: Professional interest groups outside work (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 18/28690

tabulation: Freq. Numeric Label 3079 1 Yes 25593 2 No 6 .a Refusal 12 .b Do not know

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w4_201_11 Actively participate: Church or religious area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 18/28690

tabulation: Freq. Numeric Label 3188 1 Yes 25484 2 No 9 .a Refusal 9 .b Do not know

w4_201_12 Actively participate: Justice and criminality (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 12/28690

tabulation: Freq. Numeric Label 422 1 Yes 28256 2 No 8 .a Refusal 4 .b Do not know

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w4_201_13 Actively participate: Accident or ambulance service, voluntary fire brigade (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 10/28690

tabulation: Freq. Numeric Label 1288 1 Yes 27392 2 No 8 .a Refusal 2 .b Do not know

w4_201_14 Actively participate: Area not yet mentioned (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 22/28690

tabulation: Freq. Numeric Label 1889 1 Yes 26779 2 No 8 .a Refusal 14 .b Do not know

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w4_engbereich_1 Volunteering: Sport and exercise (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 24217 0 No 4473 1 Yes

w4_engbereich_2 Volunteering: Culture and music (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 26120 0 No 2570 1 Yes

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w4_engbereich_3 Volunteering: Leisure and social interaction (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 26944 0 No 1746 1 Yes

w4_engbereich_4 Volunteering: Social area (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 26146 0 No 2544 1 Yes

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w4_engbereich_5 Volunteering: Health area (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27975 0 No 715 1 Yes

w4_engbereich_6 Volunteering: School or nursery area (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 26120 0 No 2570 1 Yes

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w4_engbereich_7 Volunteering: Youth work outside school or adult education (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27542 0 No 1148 1 Yes

w4_engbereich_8 Volunteering: Environment, nature protection or animal rights (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27668 0 No 1022 1 Yes

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w4_engbereich_9 Volunteering: Politics and political interest groups (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27530 0 No 1160 1 Yes

w4_engbereich_10 Volunteering: Professional interest groups outside work (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27928 0 No 762 1 Yes

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w4_engbereich_11 Volunteering: Church or religious area (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 26692 0 No 1998 1 Yes

w4_engbereich_12 Volunteering: Justice and criminality (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 28436 0 No 254 1 Yes

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w4_engbereich_13 Volunteering: Accident or ambulance service, voluntary fire brigade (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27970 0 No 720 1 Yes

w4_engbereich_14 v (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 27898 0 No 792 1 Yes

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w4_anz_taet_ber_1 Number of activities: Sport and exercise (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,5] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 24217 0 0 4029 1 1 400 2 2 38 3 3 3 4 4 3 5 5

w4_anz_taet_ber_2 Number of activities: Culture and music (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,5] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 26120 0 0 2189 1 1 322 2 2 48 3 3 8 4 4 3 5 5

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w4_anz_taet_ber_3 Number of activities: Leisure and social interaction (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,5] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 26944 0 0 1574 1 1 155 2 2 14 3 3 2 4 4 1 5 5

w4_anz_taet_ber_4 Number of activities: Social area (w4)

type: numeric (byte) label: misslab_en, but 5 nonmissing values are not labeled

range: [0,4] units: 1 unique values: 5 missing .: 0/28690

tabulation: Freq. Numeric Label 26146 0 0 2202 1 1 292 2 2 41 3 4 9 4 4

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w4_anz_taet_ber_5 Number of activities: Health area (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled

range: [0,3] units: 1 unique values: 4 missing .: 0/28690

tabulation: Freq. Numeric Label 27975 0 0 690 1 1 21 2 2 4 3 3

w4_anz_taet_ber_6 Number of activities: School or nursery area (w4)

type: numeric (byte) label: misslab_en, but 5 nonmissing values are not labeled

range: [0,4] units: 1 unique values: 5 missing .: 0/28690

tabulation: Freq. Numeric Label 26120 0 0 2323 1 1 234 2 2 10 3 3 3 4 4

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w4_anz_taet_ber_7 Number of activities: Youth work outside school or adult education (w4)

type: numeric (byte) label: misslab_en, but 5 nonmissing values are not labeled

range: [0,4] units: 1 unique values: 5 missing .: 0/28690

tabulation: Freq. Numeric Label 27542 0 0 1075 1 1 63 2 2 9 3 3 1 4 4

w4_anz_taet_ber_8 Number of activities: Environment, nature protection or animal rights (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled

range: [0,4] units: 1 unique values: 4 missing .: 0/28690

tabulation: Freq. Numeric Label 27668 0 0 955 1 1 66 2 2 1 4 4

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w4_anz_taet_ber_9 Number of activities: Politics and political interest groups (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,5] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 27530 0 0 975 1 1 153 2 2 27 3 3 4 4 4 1 5 5

w4_anz_taet_ber_10 Number of activities: Professional interest groups outside work (w4)

type: numeric (byte) label: misslab_en, but 5 nonmissing values are not labeled

range: [0,4] units: 1 unique values: 5 missing .: 0/28690

tabulation: Freq. Numeric Label 27928 0 0 730 1 1 28 2 2 3 3 3 1 4 4

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w4_anz_taet_ber_11 Number of activities: Church or religious area (w4)

type: numeric (byte) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,5] units: 1 unique values: 6 missing .: 0/28690

tabulation: Freq. Numeric Label 26692 0 0 1782 1 1 182 2 2 27 3 3 6 4 4 1 5 5

w4_anz_taet_ber_12 Number of activities: Justice and criminality (w4)

type: numeric (byte) label: misslab_en, but 3 nonmissing values are not labeled

range: [0,2] units: 1 unique values: 3 missing .: 0/28690

tabulation: Freq. Numeric Label 28436 0 0 246 1 1 8 2 2

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w4_anz_taet_ber_13 Number of activities: Accident or ambulance service, voluntary fire brigade (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled

range: [0,3] units: 1 unique values: 4 missing .: 0/28690

tabulation: Freq. Numeric Label 27970 0 0 690 1 1 29 2 2 1 3 3

w4_anz_taet_ber_14 Number of activities: Area not yet mentioned (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled

range: [0,3] units: 1 unique values: 4 missing .: 0/28690

tabulation: Freq. Numeric Label 27898 0 0 732 1 1 55 2 2 5 3 3

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SET OF QUESTIONS 300: VOLUNTEERING IN GENERAL

w4_301 Would you be willing to extend your voluntary work (w4)

type: numeric (byte) label: label01p_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 16198/28690

tabulation: Freq. Numeric Label 2061 1 Yes, certainly 5359 2 Yes, maybe 5072 3 No 24 .b Do not know 16078 .c Does not apply 96 .d Deleted during data editing

w4_302 Volunteered for the first time at the age of (w4)

type: numeric (byte) label: misslab_en, but 69 nonmissing values are not labeled

range: [6,78] units: 1 unique values: 69 missing .: 0/28690 unique mv codes: 4 missing .*: 16500/28690

tabulation: Freq. Numeric Label 12190 6-78 5 .a Refusal 321 .b Do not know 16078 .c Does not apply 96 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 23.86177 6 14 18 30 78

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w4_303_1 Motive: Influence society by volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16218/28690

tabulation: Freq. Numeric Label 7244 1 Fully agree 2890 2 Agree 1724 3 Partly 431 4 Don't agree 183 5 Don't agree at all 4 .a Refusal 27 .b Do not know 16091 .c Does not apply 96 .d Deleted during data editing

w4_303_2 Motive: Get together with other people by volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16193/28690

tabulation: Freq. Numeric Label 7465 1 Fully agree 2789 2 Agree 1759 3 Partly 386 4 Don't agree 98 5 Don't agree at all 4 .a Refusal 7 .b Do not know 16086 .c Does not apply 96 .d Deleted during data editing

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w4_303_3 Motive: Gain esteem and influence by volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16262/28690

tabulation: Freq. Numeric Label 1870 1 Fully agree 1962 2 Agree 3125 3 Partly 3603 4 Don't agree 1868 5 Don't agree at all 7 .a Refusal 29 .b Do not know 16130 .c Does not apply 96 .d Deleted during data editing

w4_303_4 Motive: Advance professionally through volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 17039/28690

tabulation: Freq. Numeric Label 1585 1 Fully agree 1112 2 Agree 1443 3 Partly 3227 4 Don't agree 4284 5 Don't agree at all 2 .a Refusal 16 .b Do not know 16925 .c Does not apply 96 .d Deleted during data editing

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w4_303_5 Motive: Get qualifications by volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16571/28690

tabulation: Freq. Numeric Label 3915 1 Fully agree 2072 2 Agree 1863 3 Partly 2018 4 Don't agree 2251 5 Don't agree at all 5 .a Refusal 45 .b Do not know 16425 .c Does not apply 96 .d Deleted during data editing

w4_303_6 Motive: Earn a little extra through volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16488/28690

tabulation: Freq. Numeric Label 396 1 Fully agree 421 2 Agree 852 3 Partly 2547 4 Don't agree 7986 5 Don't agree at all 3 .a Refusal 8 .b Do not know 16381 .c Does not apply 96 .d Deleted during data editing

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w4_303_7 Motive: My involvement is fun (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16,184/28690

tabulation: Freq. Numeric Label 10073 1 Fully agree 1693 2 Agree 643 3 Partly 52 4 Don't agree 45 5 Don't agree at all 2 .a Refusal 4 .b Do not know 16082 .c Does not apply 96 .d Deleted during data editing

w4_303_8 Motive: Get together with other generations by volunteering (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16217/28690

tabulation: Freq. Numeric Label 7776 1 Fully agree 2318 2 Agree 1755 3 Partly 460 4 Don't agree 164 5 Don't agree at all 2 .a Refusal 19 .b Do not know 16100 .c Does not apply 96 .d Deleted during data editing

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w4_304 Volunteered in the last four weeks (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16184/28690

tabulation: Freq. Numeric Label 7948 1 Yes 4558 2 No 1 .a Refusal 9 .b Do not know 16078 .c Does not apply 96 .d Deleted during data editing

w4_305 How often do you carry out your voluntary activity (w4)

type: numeric (byte) label: label02l_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 4 missing .*: 16188/28690

tabulation: Freq. Numeric Label 432 1 Daily 2757 2 Several times a week 2313 3 Once a week 2975 4 Several times a month 2044 5 Once a month 1838 6 More rarely 143 7 Entirely irregular 1 .a Refusal 13 .b Do not know 16078 .c Does not apply 96 .d Deleted during data editing

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w4_306_a_1 Time spend on voluntary work: Hours a day (w4)

type: numeric (byte) label: misslab_en, but 16 nonmissing values are not labeled

range: [0,24] units: 1 unique values: 16 missing .: 0/28690 unique mv codes: 3 missing .*: 28275/28690

tabulation: Freq. Numeric Label 17 0 0 76 1 1 111 2 2 62 3 3 43 4 4 31 5 5 29 6 6 13 7 7 15 8 8 2 9 9 3 10 10 5 12 12 1 13 13 1 15 15 1 20 20 5 24 24 17 .b Do not know 28162 .c Does not apply 96 .d Deleted during data editing

w4_306_a_2 Time spend on voluntary work: Minutes a day (w4)

type: numeric (int) label: misslab_en, but 8 nonmissing values are not labeled

range: [0,150] units: 1 unique values: 8 missing .: 0/28690 unique mv codes: 3 missing .*: 28275/28690

tabulation: Freq. Numeric Label 361 0 0 1 5 5 1 10 10 1 20 20 47 30 30 2 45 45 1 60 60 1 150 150 17 .b Do not know 28162 .c Does not apply 96 .d Deleted during data editing

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w4_306_b_1 Time spend on voluntary work: Hours a week (w4)

type: numeric (int) label: misslab_en, but 50 nonmissing values are not labeled range: [0,163] units: 1 unique values: 50 missing .: 0/28690 unique mv codes: 4 missing .*: 23790/28690

tabulation: Freq. Numeric Label 4900 0-163 3 .a Refusal 167 .b Do not know 23524 .c Does not apply 96 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 6.75102 0 3 5 8 163

w4_306_b_2 Time spend on voluntary work: Minutes a week (w4)

type: numeric (int) label: misslab_en, but 18 nonmissing values are not labeled

range: [0,600] units: 1 unique values: 18 missing .: 0/28690 unique mv codes: 4 missing .*: 23790/28690

tabulation: Freq. Numeric Label 4578 0 0 1 1 1 12 5 5 3 10 10 3 15 15 282 30 30 1 40 40 1 43 43 4 45 45 2 60 60 5 90 90 1 120 120 1 150 150 1 180 180 1 240 240 1 280 280 2 300 300 1 600 600 3 .a Refusal 167 .b Do not know 23524 .c Does not apply 96 .d Deleted during data editing

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w4_306_c_1 Time spend on voluntary work: Hours a month (w4)

type: numeric (int) label: misslab_en, but 60 nonmissing values are not labeled

range: [0,500] units: 1 unique values: 60 missing .: 0/28690 unique mv codes: 4 missing .*: 23978/28690

tabulation: Freq. Numeric Label 4712 0-500 5 .a Refusal 302 .b Do not know 23575 .c Does not apply 96 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 11.93103 0 4 8 12 500

w4_306_c_2 Time spend on voluntary work: Minutes a month (w4)

type: numeric (int) label: misslab_en, but 16 nonmissing values are not labeled

range: [0,1440] units: 1 unique values: 16 missing .: 0/28690 unique mv codes: 4 missing .*: 23978/28690

tabulation: Freq. Numeric Label 4567 0 0 5 5 5 1 10 10 1 15 15 1 20 20 123 30 30 3 45 45 1 50 50 1 61 61 2 90 90 1 120 120 2 180 180 1 240 240 1 600 600 1 720 720 1 1440 1440 5 .a Refusal 302 .b Do not know 23575 .c Does not apply 96 .d Deleted during data editing

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w4_306_d_1 Time spend on voluntary work: Hours a year (w4)

type: numeric (int) label: misslab_en, but 85 nonmissing values are not labeled

range: [0,4000] units: 1 unique values: 85 missing .: 0/28690 unique mv codes: 4 missing .*: 26928/28690

tabulation: Freq. Numeric Label 1762 0-4000 3 .a Refusal 230 .b Do not know 26599 .c Does not apply 96 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 38.63451 0 10 20 36 4000

w4_306_d_2 Time spend on voluntary work: Minutes a year (w4)

type: numeric (int) label: misslab_en, but 6 nonmissing values are not labeled

range: [0,600] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 4 missing .*: 26928/28690

tabulation: Freq. Numeric Label 1751 0 0 1 1 1 7 30 30 1 31 31 1 300 300 1 600 600 3 .a Refusal 230 .b Do not know 26599 .c Does not apply 96 .d Deleted during data editing

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SET OF QUESTIONS 400: MOST TIME-CONSUMING VOLUNTARY ACTIVITY

w4_401 Which region mainly benefits from this activity (w4)

type: numeric (byte) label: label127_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 4 missing .*: 16401/28690

tabulation: Freq. Numeric Label 10921 1 The region you live in 962 2 Another region in Germany 252 3 A region or a country in Europe 154 4 A region outside Europe 21 .a Refusal 114 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_402 Is this a developing country (w4)

type: numeric (byte) label: label01c_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 28541/28690

tabulation: Freq. Numeric Label 82 1 Yes 26 2 Partly 41 3 No 5 .b Do not know 28348 .c Does not apply 188 .d Deleted during data editing

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w4_403_01 Target group: Children and young people (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16289/28690

tabulation: Freq. Numeric Label 5679 1 Yes 6722 2 No 2 .a Refusal 21 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_403_02 Target group: Families (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16313/28690

tabulation: Freq. Numeric Label 4036 1 Yes 8341 2 No 5 .a Refusal 42 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_403_03 Target group: Older people (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16310/28690

tabulation: Freq. Numeric Label 3913 1 Yes 8467 2 No 5 .a Refusal 39 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_403_04 Target group: People with a handicap (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16293/28690

tabulation: Freq. Numeric Label 1442 1 Yes 10955 2 No 2 .a Refusal 25 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_403_05 Target group: People with an immigrant background (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16321/28690

tabulation: Freq. Numeric Label 1374 1 Yes 10995 2 No 4 .a Refusal 51 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_403_06 Target group: Women (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16296/28690

tabulation: Freq. Numeric Label 1641 1 Yes 10753 2 No 5 .a Refusal 25 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_403_07 Target group: Men (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16302/28690

tabulation: Freq. Numeric Label 1287 1 Yes 11101 2 No 5 .a Refusal 31 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_403_08 Target group: Financially or socially disadvantaged people (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16414/28690

tabulation: Freq. Numeric Label 1925 1 Yes 10351 2 No 7 .a Refusal 141 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_403_09 Target group: People who need help or care (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16296/28690

tabulation: Freq. Numeric Label 1921 1 Yes 10473 2 No 2 .a Refusal 28 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_403_10 Target group: Another target group (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16350/28690

tabulation: Freq. Numeric Label 3298 1 Yes 9042 2 No 4 .a Refusal 80 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_404 Target group children and young people: Age (w4)

type: numeric (byte) label: label31_w4_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 4 missing .*: 23020/28690

tabulation: Freq. Numeric Label 626 1 Small children under 6 1377 2 School children from 6 to under 14 1097 3 Young people from 14 upwards 2570 4 Or is the age mixed 2 .a Refusal 7 .b Do not know 22823 .c Does not apply 188 .d Deleted during data editing

w4_405 Target group older people: Age (w4)

type: numeric (byte) label: label128_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 24784/28690

tabulation: Freq. Numeric Label 738 1 Up to 75 years of age 465 2 75 and above 2703 3 Or is the age mixed 7 .b Do not know 24589 .c Does not apply 188 .d Deleted during data editing

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w4_406 Target group older people: People with dementia (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 24808/28690

tabulation: Freq. Numeric Label 336 1 Yes 3546 2 No 1 .a Refusal 30 .b Do not know 24589 .c Does not apply 188 .d Deleted during data editing

w4_407 In which organisational framework do you carry out your activity (w4)

type: numeric (byte) label: label32_w4_en

range: [1,13] units: 1 unique values: 13 missing .: 0/28690 unique mv codes: 4 missing .*: 16394/28690

tabulation: Freq. Numeric Label 5677 1 Club 653 2 Association 145 3 Trade union 265 4 Party 1472 5 Church or a religious association 229 6 Neighbourhood help group 406 7 Initiative or project work 1114 8 Self-organised group 1066 9 Public or municipal institution 305 10 Private institution 117 11 Foundation 323 12 Alone 524 13 Other 5 .a Refusal 123 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_408 Do you carry out this activity as part of your voluntary service (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 28670/28690

tabulation: Freq. Numeric Label 8 1 Yes 12 2 No 28482 .c Does not apply 188 .d Deleted during data editing

w4_409 Are there also full-time employees with permanent contracts (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 18705/28690

tabulation: Freq. Numeric Label 4153 1 Yes 5832 2 No 1 .a Refusal 188 .b Do not know 18328 .c Does not apply 188 .d Deleted during data editing

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w4_410 Is there a person who looks after the volunteers in particular (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 17520/28690

tabulation: Freq. Numeric Label 7112 1 Yes 4058 2 No 279 .b Do not know 17053 .c Does not apply 188 .d Deleted during data editing

w4_411 How would you rate your consultation and decision-making options (w4)

type: numeric (byte) label: label03k_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 17346/28690

tabulation: Freq. Numeric Label 5029 1 Very good 3812 2 Rather good 2068 3 Partly 341 4 Rather poor 94 5 Very poor 16 .a Refusal 89 .b Do not know 17053 .c Does not apply 188 .d Deleted during data editing

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w4_412 Persons with immigrant background are the majority in the organisation (w4)

type: numeric (byte) label: label129_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 4 missing .*: 17391/28690

tabulation: Freq. Numeric Label 389 1 Mostly people with an immigrant background 1611 2 In equal amounts 9299 3 Mostly people with no immigrant background 15 .a Refusal 135 .b Do not know 17053 .c Does not apply 188 .d Deleted during data editing

w4_413_01 Main content: Personal assistance (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16377/28690

tabulation: Freq. Numeric Label 5321 1 Yes 6992 2 No 7 .a Refusal 104 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_413_02 Main content: Organising/carrying out aid projects (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16335/28690

tabulation: Freq. Numeric Label 3183 1 Yes 9172 2 No 6 .a Refusal 63 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_413_03 Main content: Organising/carrying out meetings or events (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16287/28690

tabulation: Freq. Numeric Label 8177 1 Yes 4226 2 No 2 .a Refusal 19 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_413_04 Main content: Advice (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16289/28690

tabulation: Freq. Numeric Label 4760 1 Yes 7641 2 No 2 .a Refusal 21 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_413_05 Main content: Educational support or directing a group (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16289/28690

tabulation: Freq. Numeric Label 3870 1 Yes 8531 2 No 4 .a Refusal 19 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_413_06 Main content: Protection of interests and to participate (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16337/28690

tabulation: Freq. Numeric Label 4991 1 Yes 7362 2 No 5 .a Refusal 66 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_413_07 Main content: Information and PR activity (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16303/28690

tabulation: Freq. Numeric Label 5140 1 Yes 7247 2 No 3 .a Refusal 34 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_413_08 Main content: Management or administrative activities (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16286/28690

tabulation: Freq. Numeric Label 2447 1 Yes 9957 2 No 2 .a Refusal 18 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_413_09 Main content: Practical work that has to be done (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16300/28690

tabulation: Freq. Numeric Label 8002 1 Yes 4388 2 No 3 .a Refusal 31 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_413_10 Main content: Networking (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16377/28690

tabulation: Freq. Numeric Label 3387 1 Yes 8926 2 No 5 .a Refusal 106 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_413_11 Main content: Fundraising (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16409/28690

tabulation: Freq. Numeric Label 2436 1 Yes 9845 2 No 8 .a Refusal 135 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_413_12 Main content: Something else (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16374/28690

tabulation: Freq. Numeric Label 2163 1 Yes 10153 2 No 8 .a Refusal 100 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_414 Do you have a management or board position (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16281/28690

tabulation: Freq. Numeric Label 3426 1 Yes 8983 2 No 3 .a Refusal 12 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_415 Is specific training or further training required to carry out the activity (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 16285/28690

tabulation: Freq. Numeric Label 2786 1 Yes 9619 2 No 19 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_416_1 Acquisition of knowledge: Specialist knowledge (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16291/28690

tabulation: Freq. Numeric Label 6558 1 Yes 5841 2 No 3 .a Refusal 22 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_416_2 Acquisition of knowledge: Social skills (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16295/28690

tabulation: Freq. Numeric Label 9049 1 Yes 3346 2 No 4 .a Refusal 25 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_416_3 Acquisition of knowledge: Personal skills (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16304/28690

tabulation: Freq. Numeric Label 7041 1 Yes 5345 2 No 5 .a Refusal 33 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_417_1 Knowledge useful: In school, training or study (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 27212/28690

tabulation: Freq. Numeric Label 1266 1 Yes 212 2 No 1 .a Refusal 3 .b Do not know 27020 .c Does not apply 188 .d Deleted during data editing

w4_417_2 Knowledge useful: When getting back into the world of work (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 28117/28690

tabulation: Freq. Numeric Label 338 1 Yes 235 2 No 13 .a Refusal 3 .b Do not know 27913 .c Does not apply 188 .d Deleted during data editing

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w4_417_3 Knowledge useful: In professional activity (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 23182/28690

tabulation: Freq. Numeric Label 3862 1 Yes 1646 2 No 10 .a Refusal 6 .b Do not know 22978 .c Does not apply 188 .d Deleted during data editing

w4_418 Do you use the internet for you voluntary activity (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16269/28690

tabulation: Freq. Numeric Label 7311 1 Yes 5110 2 No 2 .a Refusal 1 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_419 Internet: Interactive use of Web 2.0 (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 21387/28690

tabulation: Freq. Numeric Label 2257 1 Yes 5046 2 No 8 .b Do not know 21191 .c Does not apply 188 .d Deleted during data editing

w4_420 Does your activity take place exclusively or predominantly on the Internet (w4)

type: numeric (byte) label: label03r_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 4 missing .*: 21547/28690

tabulation: Freq. Numeric Label 76 1 Exclusively 250 2 Predominantly 6817 3 Only partially 45 .a Refusal 123 .b Do not know 21191 .c Does not apply 188 .d Deleted during data editing

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w4_421 Have you ever taken part in courses or seminars for further training (w4)

type: numeric (byte) label: label02c_w2_w1_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 16267/28690

tabulation: Freq. Numeric Label 1301 1 Yes, once 3722 2 Yes, several times 7400 3 No 1 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_422 How often did you carry out this activity (w4)

type: numeric (byte) label: label02l_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 4 missing .*: 22159/28690

tabulation: Freq. Numeric Label 262 1 Daily 1624 2 Several times a week 1382 3 Once a week 1602 4 Several times a month 922 5 Once a month 665 6 More rarely 74 7 Entirely irregular 1 .a Refusal 10 .b Do not know 21960 .c Does not apply 188 .d Deleted during data editing

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w4_423_a_1 Last 12 months: How many hours a day have you spent on your activity (w4)

type: numeric (byte) label: misslab_en, but 14 nonmissing values are not labeled

range: [0,24] units: 1 unique values: 14 missing .: 0/28690 unique mv codes: 3 missing .*: 28433/28690

tabulation: Freq. Numeric Label 17 0 0 55 1 1 58 2 2 37 3 3 19 4 4 16 5 5 24 6 6 8 7 7 14 8 8 1 9 9 5 10 10 1 12 12 1 18 18 1 24 24 5 .b Do not know 28240 .c Does not apply 188 .d Deleted during data editing

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w4_423_a_2 Last 12 months: How many minutes a day have you spent on your activity (w4)

type: numeric (byte) label: misslab_en, but 10 nonmissing values are not labeled

range: [0,90] units: 1 unique values: 10 missing .: 0/28690 unique mv codes: 3 missing .*: 28,433/28690

tabulation: Freq. Numeric Label 226 0 0 1 5 5 1 10 10 2 15 15 1 20 20 1 25 25 22 30 30 1 35 35 1 40 40 1 90 90 5 .b Do not know 28240 .c Does not apply 188 .d Deleted during data editing

w4_423_b_1 Last 12 months: How many hours a week have you spent on your activity (w4)

type: numeric (int) label: misslab_en, but 38 nonmissing values are not labeled

range: [0,160] units: 1 unique values: 38 missing .: 0/28690 unique mv codes: 4 missing .*: 25753/28690

tabulation: Freq. Numeric Label 2937 0-160 2 .a Refusal 67 .b Do not know 25496 .c Does not apply 188 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 5.612189 0 2 4 6 160

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w4_423_b_2 Last 12 months: How many minutes a week have you spent on your activity (w4)

type: numeric (int) label: misslab_en, but 16 nonmissing values are not labeled

range: [0,300] units: 1 unique values: 16 missing .: 0/28690 unique mv codes: 4 missing .*: 25753/28690

tabulation: Freq. Numeric Label 2696 0 0 1 1 1 1 2 2 13 5 5 1 10 10 4 15 15 1 20 20 203 30 30 1 40 40 5 45 45 4 90 90 3 120 120 1 150 150 1 180 180 1 210 210 1 300 300 2 .a Refusal 67 .b Do not know 25496 .c Does not apply 188 .d Deleted during data editing

w4_423_c_1 Last 12 months: How many hours a month have you spent on your activity (w4)

type: numeric (int) label: misslab_en, but 46 nonmissing values are not labeled

range: [0,348] units: 1 unique values: 46 missing .: 0/28690 unique mv codes: 4 missing .*: 26276/28690

tabulation: Freq. Numeric Label 2414 0-348 1 .a Refusal 109 .b Do not know 25978 .c Does not apply 188 .d Deleted during data editing Variable: mean min quartile1 median quartile3 max 10.41342 0 4 6 10 348

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w4_423_c_2 Last 12 months: How many minutes a month have you spent on your activity (w4)

type: numeric (int) label: misslab_en, but 12 nonmissing values are not labeled

range: [0,480] units: 1 unique values: 12 missing .: 0/28690 unique mv codes: 4 missing .*: 26276/28690

tabulation: Freq. Numeric Label 2327 0 0 1 2 2 1 5 5 76 30 30 1 40 40 1 45 45 1 47 47 1 90 90 2 120 120 1 150 150 1 180 180 1 480 480 1 .a Refusal 109 .b Do not know 25978 .c Does not apply 188 .d Deleted during data editing

w4_423_d_1 Last 12 months: How many hours a year have you spent on your activity (w4)

type: numeric (int) label: misslab_en, but 58 nonmissing values are not labeled

range: [1,960] units: 1 unique values: 58 missing .: 0/28690 unique mv codes: 4 missing .*: 28024/28690

tabulation: Freq. Numeric Label 666 1-960 1 .a Refusal 83 .b Do not know 27752 .c Does not apply 188 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 39.12162 1 10 20 40 960

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w4_423_d_2 Last 12 months: How many minutes a year have you spent on your activity (w4)

type: numeric (byte) label: misslab_en, but 2 nonmissing values are not labeled

range: [0,30] units: 10 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 28024/28690

tabulation: Freq. Numeric Label 663 0 3 30 1 .a Refusal 83 .b Do not know 27752 .c Does not apply 188 .d Deleted during data editing

w4_424 Is your activity time-limited (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16322/28690

tabulation: Freq. Numeric Label 3615 1 Yes 8753 2 No 1 .a Refusal 55 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_425 Do you have costs because of your activity (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 16273/28690

tabulation: Freq. Numeric Label 5818 1 Yes 6599 2 No 7 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_426 Is there the option to have these expenses refunded (w4)

type: numeric (byte) label: label01d_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 4 missing .*: 23053/28690

tabulation: Freq. Numeric Label 1631 1 Yes 667 2 Partly 3339 3 No 1 .a Refusal 180 .b Do not know 22684 .c Does not apply 188 .d Deleted during data editing

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w4_427 Do you as a rule make use of a reimbursement of costs (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 26400/28690

tabulation: Freq. Numeric Label 858 1 Yes 1432 2 No 8 .b Do not know 26204 .c Does not apply 188 .d Deleted during data editing

w4_428 Regardless reimbursement: Received money for the activity last 12 months (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16273/28690

tabulation: Freq. Numeric Label 1205 1 Yes 11212 2 No 3 .a Refusal 4 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_429 Payments per month: Up to and including or over 150 euro (w4)

type: numeric (byte) label: label36_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 27515/28690

tabulation: Freq. Numeric Label 1009 1 Up to and including 150 euro 166 2 Over 150 euro 15 .a Refusal 15 .b Do not know 27297 .c Does not apply 188 .d Deleted during data editing

w4_430 Payments per month: Up to and including or over 50 euro (w4)

type: numeric (byte) label: label37_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 27691/28690

tabulation: Freq. Numeric Label 642 1 Up to and including 50 euro 357 2 Over 50 euro 2 .a Refusal 8 .b Do not know 27493 .c Does not apply 188 .d Deleted during data editing

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w4_431 Payments per month: Up to and including or over 350 euro (w4)

type: numeric (byte) label: label38_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 28527/28690

tabulation: Freq. Numeric Label 105 1 Up to and including 350 euro 58 2 Over 350 euro 2 .a Refusal 1 .b Do not know 28336 .c Does not apply 188 .d Deleted during data editing

w4_432 Payments per month: Up to and including or over 500 euro (w4)

type: numeric (byte) label: label39_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 28634/28690

tabulation: Freq. Numeric Label 29 1 Up to and including 500 euro 27 2 Over 500 euro 1 .a Refusal 1 .b Do not know 28444 .c Does not apply 188 .d Deleted during data editing

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w4_433 Did you receive non-cash payments for your activity in the last 12 months (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16275/28690

tabulation: Freq. Numeric Label 1735 1 Yes 10680 2 No 2 .a Refusal 7 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_434 Were you interested in carrying out this activity professionally (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16341/28690

tabulation: Freq. Numeric Label 1815 1 Yes 10534 2 No 8 .a Refusal 67 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_435 Is this voluntary activity, related to a professional activity (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 18059/28690

tabulation: Freq. Numeric Label 3045 1 Yes 7586 2 No 24 .b Do not know 17847 .c Does not apply 188 .d Deleted during data editing

w4_436_1 My activity makes me feel better (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16307/28690

tabulation: Freq. Numeric Label 5393 1 Fully applies 3195 2 Partially applies 2422 3 Partly 870 4 Applies less 503 5 Doesn‘t apply at all 4 .a Refusal 37 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_436_2 My circle of acquaintances share the same interest in this activity (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16305/28690

tabulation: Freq. Numeric Label 3372 1 Fully applies 2592 2 Partially applies 3579 3 Partly 1904 4 Applies less 938 5 Doesn’t apply at all 5 .a Refusal 34 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_436_3 People close to me attach great importance to this activity (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16385/28690

tabulation: Freq. Numeric Label 3699 1 Fully applies 2846 2 Partially applies 3188 3 Partly 1839 4 Applies less 733 5 Doesn’t apply at all 4 .a Refusal 115 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_436_4 Activity allows me to learn things through practical experience (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16303/28690

tabulation: Freq. Numeric Label 3873 1 Fully applies 2626 2 Partially applies 2489 3 Partly 2015 4 Applies less 1384 5 Doesn’t apply at all 4 .a Refusal 33 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_436_5 Through my activity I can find out what my strengths are (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 16317/28690

tabulation: Freq. Numeric Label 3888 1 Fully applies 2656 2 Partially applies 2569 3 Partly 1955 4 Applies less 1305 5 Doesn’t apply at all 6 .a Refusal 45 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_437 How many years have you been doing this activity (w4)

type: numeric (float) label: misslab_en, but 60 nonmissing values are not labeled

range: [0.5,69] units: .1 unique values: 60 missing .: 0/28690 unique mv codes: 4 missing .*: 16332/28690

tabulation: Freq. Numeric Label 12358 0.5-69 5 .a Refusal 61 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 10.35382 0.5 3 6 15 69

w4_438_1 Impetus: Managing persons from the group or organisation (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16298/28690

tabulation: Freq. Numeric Label 5698 1 Yes, applies 6694 2 No, does not apply 5 .a Refusal 27 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_438_2 Impetus: Family members, friends or acquaintances (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16278/28690

tabulation: Freq. Numeric Label 5352 1 Yes, applies 7060 2 No, does not apply 4 .a Refusal 8 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_438_3 Impetus: Information and contact point (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16286/28690

tabulation: Freq. Numeric Label 1265 1 Yes, applies 11139 2 No, does not apply 3 .a Refusal 17 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_438_4 Impetus: Media or Internet (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16277/28690

tabulation: Freq. Numeric Label 1138 1 Yes, applies 11275 2 No, does not apply 3 .a Refusal 8 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_438_5 Impetus: Experiences in the family (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16280/28690

tabulation: Freq. Numeric Label 3445 1 Yes, applies 8965 2 No, does not apply 4 .a Refusal 10 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_438_6 Impetus: Civilian service (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 28127/28690

tabulation: Freq. Numeric Label 41 1 Yes, applies 522 2 No, does not apply 1 .b Do not know 27938 .c Does not apply 188 .d Deleted during data editing

w4_438_7 Impetus: Voluntary service (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 28189/28690

tabulation: Freq. Numeric Label 115 1 Yes, applies 386 2 No, does not apply 2 .b Do not know 27999 .c Does not apply 188 .d Deleted during data editing

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w4_438_8 Impetus: School, college or training (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16278/28690

tabulation: Freq. Numeric Label 1807 1 Yes, applies 10605 2 No, does not apply 4 .a Refusal 8 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_438_9 Impetus: Employer (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 17853/28690

tabulation: Freq. Numeric Label 853 1 Yes, applies 9984 2 No, does not apply 4 .a Refusal 8 .b Do not know 17653 .c Does not apply 188 .d Deleted during data editing

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w4_439 Did the initiative come from you or were you asked (w4)

type: numeric (byte) label: label41_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16369/28690

tabulation: Freq. Numeric Label 5947 1 Own initiative 6374 2 Has been asked 6 .a Refusal 97 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_440 Support by employer (w4)

type: numeric (byte) label: label01g_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 23253/28690

tabulation: Freq. Numeric Label 1951 1 Yes 3486 2 No 1 .a Refusal 22 .b Do not know 23042 .c Does not apply 188 .d Deleted during data editing

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w4_441 Support by employer requested (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 25225/28690

tabulation: Freq. Numeric Label 721 1 Yes 2744 2 No 3 .a Refusal 18 .b Do not know 25016 .c Does not apply 188 .d Deleted during data editing

w4_442_1 Organisation: Specialist support of the activity (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16351/28690

tabulation: Freq. Numeric Label 5163 1 Yes, applies 7176 2 No, does not apply 10 .a Refusal 75 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_442_2 Organisation: Options for further education (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16372/28690

tabulation: Freq. Numeric Label 4948 1 Yes, applies 7370 2 No, does not apply 6 .a Refusal 100 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_442_3 Organisation: Recognition by full-time staff in the organisation (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16437/28690

tabulation: Freq. Numeric Label 4220 1 Yes, applies 8033 2 No, does not apply 13 .a Refusal 158 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_442_4 Organisation: Financial remuneration (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16375/28690

tabulation: Freq. Numeric Label 2720 1 Yes, applies 9595 2 No, does not apply 12 .a Refusal 97 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_442_5 Organisation: Non-bureaucratic cost reimbursement (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16450/28690

tabulation: Freq. Numeric Label 4522 1 Yes, applies 7718 2 No, does not apply 18 .a Refusal 166 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_442_6 Organisation: Recognition in form of reports/identity cards (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16363/28690

tabulation: Freq. Numeric Label 3517 1 Yes, applies 8810 2 No, does not apply 14 .a Refusal 83 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_442_7 Organisation: Provision of suitable rooms and equipment (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16347/28690

tabulation: Freq. Numeric Label 5972 1 Yes, applies 6371 2 No, does not apply 10 .a Refusal 71 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_443_1 State/public: Safeguarding through third-party liability/accident insurance (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16610/28690

tabulation: Freq. Numeric Label 6713 1 Yes, applies 5367 2 No, does not apply 14 .a Refusal 330 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_443_2 State/public: Tax deduction of costs (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16571/28690

tabulation: Freq. Numeric Label 6111 1 Yes, applies 6008 2 No, does not apply 13 .a Refusal 292 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_443_3 State/public: Tax exemption of expense allowances (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16663/28690

tabulation: Freq. Numeric Label 6276 1 Yes, applies 5751 2 No, does not apply 16 .a Refusal 381 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_443_4 State/public: Recognition as professional internship or training (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16486/28690

tabulation: Freq. Numeric Label 6032 1 Yes, applies 6172 2 No, does not apply 14 .a Refusal 206 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_443_5 State/public: Recognition like honouring (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16364/28690

tabulation: Freq. Numeric Label 3975 1 Yes, applies 8351 2 No, does not apply 12 .a Refusal 86 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_443_6 State/public: Information and advice (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16408/28690

tabulation: Freq. Numeric Label 7309 1 Yes, applies 4973 2 No, does not apply 20 .a Refusal 122 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

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w4_443_7 State/public: Reconciliation with the profession (w4)

type: numeric (byte) label: label01o_n

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 4 missing .*: 16503/28690

tabulation: Freq. Numeric Label 6388 1 Yes, applies 5799 2 No, does not apply 23 .a Refusal 214 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

SET OF QUESTIONS 500: EARLIER VOLUNTEERING AND VOLUNTEERING POTENTIAL

w4_501 Did you volunteer in the past (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 12698/28690

tabulation: Freq. Numeric Label 6619 1 Yes 9373 2 No 2 .a Refusal 84 .b Do not know 12612 .c Does not apply

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w4_502 How old were you when you volunteered for the first time (w4)

type: numeric (byte) label: misslab_en, but 58 nonmissing values are not labeled

range: [6,71] units: 1 unique values: 58 missing .: 0/28690 unique mv codes: 3 missing .*: 22256/28690

tabulation: Freq. Numeric Label 6434 6-71 3 .a Refusal 182 .b Do not know 22071 .c Does not apply

Variable: mean min quartile1 median quartile3 max 24.16086 6 16 20 30 71

w4_503_1 End: Took up too much time (w4)

type: numeric (byte) label: label01o_n

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22114/28690

tabulation: Freq. Numeric Label 2660 1 Yes, applies 3916 2 No, does not apply 9 .a Refusal 34 .b Do not know 22071 .c Does not apply

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w4_503_2 End: Health reasons (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22094/28690

tabulation: Freq. Numeric Label 1057 1 Yes, applies 5539 2 No, does not apply 8 .a Refusal 15 .b Do not know 22071 .c Does not apply

w4_503_3 End: Family reasons (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22102/28690

tabulation: Freq. Numeric Label 1922 1 Yes, applies 4666 2 No, does not apply 9 .a Refusal 22 .b Do not know 22071 .c Does not apply

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w4_503_4 End: Professional reasons (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22112/28690

tabulation: Freq. Numeric Label 3063 1 Yes, applies 3515 2 No, does not apply 7 .a Refusal 34 .b Do not know 22071 .c Does not apply

w4_503_5 End: Problems within the group (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22107/28690

tabulation: Freq. Numeric Label 481 1 Yes, applies 6102 2 No, does not apply 9 .a Refusal 27 .b Do not know 22071 .c Does not apply

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w4_503_6 End: Activity was time-limited (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22140/28690

tabulation: Freq. Numeric Label 2817 1 Yes, applies 3733 2 No, does not apply 8 .a Refusal 61 .b Do not know 22071 .c Does not apply

w4_503_7 End: Didn't want to have obligations anymore (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22133/28690

tabulation: Freq. Numeric Label 1770 1 Yes, applies 4787 2 No, does not apply zu 11 .a Refusal 51 .b Do not know 22071 .c Does not apply

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w4_503_8 End: Reached an age limit (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22131/28690

tabulation: Freq. Numeric Label 1357 1 Yes, applies 5202 2 No, does not apply 9 .a Refusal 51 .b Do not know 22071 .c Does not apply

w4_504_1 Reason for non-volunteering: Time (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19357/28690

tabulation: Freq. Numeric Label 6979 1 Yes, applies 2354 2 No, does not apply 8 .a Refusal 32 .b Do not know 19317 .c Does not apply

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w4_504_2 Reason for non-volunteering: Health reasons (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19345/28690

tabulation: Freq. Numeric Label 2167 1 Yes, applies 7178 2 No, does not apply 9 .a Refusal 19 .b Do not know 19317 .c Does not apply

w4_504_3 Reason for non-volunteering: Family reasons (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19363/28690

tabulation: Freq. Numeric Label 2970 1 Yes, applies 6357 2 No, does not apply 10 .a Refusal 36 .b Do not know 19317 .c Does not apply

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w4_504_4 Reason for non-volunteering: Professional reasons (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19371/28690

tabulation: Freq. Numeric Label 4745 1 Yes, applies 4574 2 No, does not apply 7 .a Refusal 47 .b Do not know 19317 .c Does not apply

w4_504_5 Reason for non-volunteering: Don’t feel appropriate (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19449/28690

tabulation: Freq. Numeric Label 2037 1 Yes, applies 7204 2 No, does not apply 10 .a Refusal 122 .b Do not know 19317 .c Does not apply

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w4_504_6 Reason for non-volunteering: Others rejected me (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19375/28690

tabulation: Freq. Numeric Label 210 1 Yes, applies 9105 2 No, does not apply 11 .a Refusal 47 .b Do not know 19317 .c Does not apply

w4_504_7 Reason for non-volunteering: Don't want to take on any commitments (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19411/28690

tabulation: Freq. Numeric Label 3288 1 Yes, applies 5991 2 No, does not apply 14 .a Refusal 80 .b Do not know 19317 .c Does not apply

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w4_504_8 Reason for non-volunteering: Don't know where I can turn to for it (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19409/28690

tabulation: Freq. Numeric Label 1499 1 Yes, applies 7782 2 No, does not apply 11 .a Refusal 81 .b Do not know 19317 .c Does not apply

w4_505 Would you be willing to volunteer in the future (w4)

type: numeric (byte) label: label01p_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 12686/28690

tabulation: Freq. Numeric Label 1893 1 Yes, certainly 7503 2 Yes, maybe 6608 3 No 8 .a Refusal 66 .b Do not know 12612 .c Does not apply

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w4_506 Have you already got specific ideas in which area you would volunteer (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 26810/28690

tabulation: Freq. Numeric Label 1318 1 Yes 562 2 No 1 .a Refusal 12 .b Do not know 26797 .c Does not apply

w4_507_01 Potential area: Sport and exercise (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27376/28690

tabulation: Freq. Numeric Label 455 1 Yes 859 2 No 4 .b Do not know 27372 .c Does not apply

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w4_507_02 Potential area: Culture and music (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27374/28690

tabulation: Freq. Numeric Label 352 1 Yes 964 2 No 2 .b Do not know 27372 .c Does not apply

w4_507_03 Potential area: Leisure and social interaction (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27384/28690

tabulation: Freq. Numeric Label 511 1 Yes 795 2 No 12 .b Do not know 27372 .c Does not apply

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w4_507_04 Potential area: Social area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27379/28690

tabulation: Freq. Numeric Label 1003 1 Yes 308 2 No 7 .b Do not know 27372 .c Does not apply

w4_507_05 Potential area: Health area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27378/28690

tabulation: Freq. Numeric Label 521 1 Yes 791 2 No 6 .b Do not know 27372 .c Does not apply

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w4_507_06 Potential area: School or nursery area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27374/28690

tabulation: Freq. Numeric Label 525 1 Yes 791 2 No 2 .b Do not know 27372 .c Does not apply

w4_507_07 Potential area: Youth work outside school or adult education (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27377/28690

tabulation: Freq. Numeric Label 413 1 Yes 900 2 No 5 .b Do not know 27372 .c Does not apply

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w4_507_08 Potential area: Environment, nature protection or animal rights (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27380/28690

tabulation: Freq. Numeric Label 658 1 Yes 652 2 No 8 .b Do not know 27372 .c Does not apply

w4_507_09 Potential area: Politics and political interest groups (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27381/28690

tabulation: Freq. Numeric Label 308 1 Yes 1001 2 No 9 .b Do not know 27372 .c Does not apply

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w4_507_10 Potential area: Professional interest groups outside work (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27382/28690

tabulation: Freq. Numeric Label 213 1 Yes 1095 2 No 10 .b Do not know 27372 .c Does not apply

w4_507_11 Potential area: Church or religious area (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27375/28690

tabulation: Freq. Numeric Label 216 1 Yes 1,099 2 No 3 .b Do not know 27372 .c Does not apply

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w4_507_12 Potential area: Justice and criminality (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27374/28690

tabulation: Freq. Numeric Label 306 1 Yes 1010 2 No 2 .b Do not know 27372 .c Does not apply

w4_507_13 Potential area: Accident or ambulance service, voluntary fire brigade (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27377/28690

tabulation: Freq. Numeric Label 284 1 Yes 1029 2 No 5 .b Do not know 27372 .c Does not apply

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w4_507_14 Potential area: Area not yet mentioned (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 27392/28690

tabulation: Freq. Numeric Label 191 1 Yes 1107 2 No 20 .b Do not know 27372 .c Does not apply

SET OF QUESTIONS 600: INFORMAL SUPPORT (INCL. DONATION)

w4_601 Do you care for or look after children, who are not your own (w4)

type: numeric (byte) label: label02m_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 39/28690

tabulation: Freq. Numeric Label 3357 1 Yes, one child 5533 2 Yes, several children 19761 3 No 12 .a Refusal 27 .b Do not know

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w4_602_1 Child care: children of relatives (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19808/28690

tabulation: Freq. Numeric Label 5410 1 Yes 3472 2 No 2 .a Refusal 6 .b Do not know 19800 .c Does not apply

w4_602_2 Child care: children of neighbours (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19809/28690

tabulation: Freq. Numeric Label 2452 1 Yes 6429 2 No 2 .a Refusal 7 .b Do not know 19800 .c Does not apply

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w4_602_3 Child care: children of friends (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19807/28690

tabulation: Freq. Numeric Label 3866 1 Yes 5017 2 No 2 .a Refusal 5 .b Do not know 19800 .c Does not apply

w4_602_4 Child care: children of acquaintances or others (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 19808/28690

tabulation: Freq. Numeric Label 2418 1 Yes 6464 2 No 2 .a Refusal 6 .b Do not know 19800 .c Does not apply

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w4_603 How often on average did you care for or look after these children (w4)

type: numeric (byte) label: label02l_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 3 missing .*: 19829/28690

tabulation: Freq. Numeric Label 257 1 Daily 1256 2 Several times a week 1122 3 Once a week 2222 4 Several times a month 1627 5 Once a month 2122 6 More rarely 255 7 Entirely irregular 4 .a Refusal 25 .b Do not know 19800 .c Does not apply

w4_604_a_1 Child care: Hours a day (w4)

type: numeric (byte) label: misslab_en, but 16 nonmissing values are not labeled

range: [0,24] units: 1 unique values: 16 missing .: 0/28690 unique mv codes: 2 missing .*: 28444/28690

tabulation: Freq. Numeric Label 3 0 0 19 1 1 33 2 2 42 3 3 39 4 4 28 5 5 20 6 6 6 7 7 21 8 8 2 9 9 8 10 10 1 11 11 6 12 12 1 14 14 2 15 15 15 24 24 11 .b Do not know 28433 .c Does not apply

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w4_604_a_2 Child care: Minutes a day (w4)

type: numeric (int) label: misslab_en, but 3 nonmissing values are not labeled

range: [0,180] units: 10 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 28444/28690

tabulation: Freq. Numeric Label 230 0 0 15 30 30 1 180 180 11 .b Do not know 28433 .c Does not apply

w4_604_b_1 Child care: Hours a week (w4)

type: numeric (int) label: misslab_en, but 43 nonmissing values are not labeled

range: [0,168] units: 1 unique values: 43 missing .: 0/28690 unique mv codes: 2 missing .*: 26442/28690

tabulation: Freq. Numeric Label 246 0- 68 130 .b Do not know 26312 .c Does not apply

Variable: mean min quartile1 median quartile3 max 9.201068 0 4 5.5 10 168

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w4_604_b_2 Child care: Minutes a week (w4)

type: numeric (int) label: misslab_en, but 10 nonmissing values are not labeled

range: [0,1200] units: 1 unique values: 10 missing .: 0/28690 unique mv codes: 2 missing .*: 26442/28690

tabulation: Freq. Numeric Label 2184 0 0 1 5 5 54 30 30 1 40 40 2 90 90 2 120 120 1 150 150 1 400 400 1 600 600 1 1200 1200 130 .b Do not know 26312 .c Does not apply

w4_604_c_1 Child care: Hours a month (w4)

type: numeric (int) label: misslab_en, but 67 nonmissing values are not labeled

range: [0,500] units: 1 unique values: 67 missing .: 0/28690 unique mv codes: 3 missing .*: 25141/28690

tabulation: Freq. Numeric Label 3549 0-500 4 .a Refusal 296 .b Do not know 24841 .c Does not apply

Variable: mean min quartile1 median quartile3 max 14.63511 0 5 8 15 500

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w4_604_c_2 Child care: Minutes a month (w4)

type: numeric (int) label: misslab_en, but 8 nonmissing values are not labeled

range: [0,1200] units: 1 unique values: 8 missing .: 0/28690 unique mv codes: 3 missing .*: 25141/28690

tabulation: Freq. Numeric Label 3477 0 0 5 5 5 1 6 6 59 30 30 3 180 180 2 300 300 1 480 480 1 1200 1200 4 .a Refusal 296 .b Do not know 24841 .c Does not apply

w4_604_d_1 Child care: Hours a year (w4)

type: numeric (int) label: misslab_en, but 96 nonmissing values are not labeled

range: [0,2000] units: 1 unique values: 96 missing .: 0/28690 unique mv codes: 3 missing .*: 26743/28690

tabulation: Freq. Numeric Label 1947 0-2000 13 .a Refusal 446 .b Do not know 26284 .c Does not apply

Variable: mean min quartile1 median quartile3 max 43.92244 0 9 18 32 2000

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w4_604_d_2 Child care: Minutes a year (w4)

type: numeric (int) label: misslab_en, but 8 nonmissing values are not labeled

range: [0,1000] units: 1 unique values: 8 missing .: 0/28690 unique mv codes: 3 missing .*: 26743/28690

tabulation: Freq. Numeric Label 1929 0 0 2 1 1 1 3 3 11 30 30 1 240 240 1 280 280 1 600 600 1 1000 1000 13 .a Refusal 446 .b Do not know 26284 .c Does not apply

w4_605 Do you care for persons in a private context and without payments (w4)

type: numeric (byte) label: label02o_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 30/28690

tabulation: Freq. Numeric Label 3959 1 Yes, one person 1053 2 Yes, several persons 23648 3 No 7 .a Refusal 23 .b Do not know

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w4_606_1 Nursing care duties: Basic care (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23692/28690

tabulation: Freq. Numeric Label 2607 1 Yes, applies 2391 2 No, does not apply 3 .a Refusal 11 .b Do not know 23678 .c Does not apply

w4_606_2 Nursing care duties: Household chores (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23684/28690

tabulation: Freq. Numeric Label 2941 1 Yes, applies 2065 2 No, does not apply 1 .a Refusal 5 .b Do not know 23678 .c Does not apply

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w4_606_3 Nursing care duties: To look after this person (w4)

type: numeric (byte) label: label01o_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23691/28690

tabulation: Freq. Numeric Label 2608 1 Yes, applies 2391 2 No, does not apply 2 .a Refusal 11 .b Do not know 23678 .c Does not apply

w4_607_1 Nursing care: Is it relatives (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23695/28690

tabulation: Freq. Numeric Label 4042 1 Yes 953 2 No 4 .a Refusal 13 .b Do not know 23678 .c Does not apply

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w4_607_2 Nursing care: Is it neighbours (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23694/28690

tabulation: Freq. Numeric Label 448 1 Yes 4548 2 No 4 .a Refusal 12 .b Do not know 23678 .c Does not apply

w4_607_3 Nursing care: Is it friends (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23694/28690

tabulation: Freq. Numeric Label 429 1 Yes 4567 2 No 4 .a Refusal 12 .b Do not know 23678 .c Does not apply

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w4_607_4 Nursing care: Is it aquaintances or others (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 23694/28690

tabulation: Freq. Numeric Label 551 1 Yes 4445 2 No 4 .a Refusal 12 .b Do not know 23678 .c Does not apply

w4_608 How often on average did you care for or look after these persons (w4)

type: numeric (byte) label: label02l_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 3 missing .*: 23703/28690

tabulation: Freq. Numeric Label 1311 1 Daily 1346 2 Several times a week 962 3 Once a week 716 4 Several times a month 306 5 Once a month 246 6 More rarely 100 7 Entirely irregular 7 .a Refusal 18 .b Do not know 23678 .c Does not apply

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w4_609_a_1 Nursing care: Hours a day (w4)

type: numeric (byte) label: misslab_en, but 22 nonmissing values are not labeled

range: [0,24] units: 1 unique values: 22 missing .: 0/28690 unique mv codes: 3 missing .*: 27477/28690

tabulation: Freq. Numeric Label 34 0 0 163 1 1 236 2 2 189 3 3 127 4 4 97 5 5 74 6 6 12 7 7 43 8 8 5 9 9 34 10 10 2 11 11 42 12 12 3 13 13 12 14 14 7 15 15 11 16 16 2 17 17 5 18 18 11 20 20 1 22 22 103 24 24 5 .a Refusal 93 .b Do not know 27379 .c Does not apply

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w4_609_a_2 Nursing care: Minutes a day (w4)

type: numeric (int) label: misslab_en, but 10 nonmissing values are not labeled

range: [0,120] units: 1 unique values: 10 missing .: 0/28690 unique mv codes: 3 missing .*: 27477/28690

tabulation: Freq. Numeric Label 1096 0 0 1 1 1 1 2 2 3 5 5 1 15 15 105 30 30 1 35 35 3 45 45 1 90 90 1 120 120 5 .a Refusal 93 .b Do not know 27379 .c Does not apply

w4_609_b_1 Nursing care: Hours a week (w4)

type: numeric (int) label: misslab_en, but 39 nonmissing values are not labeled

range: [0,150] units: 1 unique values: 39 missing .: 0/28690 unique mv codes: 3 missing .*: 26491/28690

tabulation: Freq. Numeric Label 2199 0-150 2 .a Refusal 107 .b Do not know 26382 .c Does not apply

Variable: mean min quartile1 median quartile3 max 7.197362 0 3 5 8 150

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w4_609_b_2 Nursing care: Minutes a week (w4)

type: numeric (int) label: misslab_en, but 10 nonmissing values are not labeled

range: [0,600] units: 1 unique values: 10 missing .: 0/28690 unique mv codes: 3 missing .*: 26491/28690

tabulation: Freq. Numeric Label 2107 0 0 1 1 1 6 5 5 1 15 15 79 30 30 1 45 45 1 90 90 1 120 120 1 280 280 1 600 600 2 .a Refusal 107 .b Do not know 26382 .c Does not apply

w4_609_c_1 Nursing care: Hours a month (w4)

type: numeric (int) label: misslab_en, but 48 nonmissing values are not labeled

range: [0,480] units: 1 unique values: 48 missing .: 0/28690 unique mv codes: 2 missing .*: 27753/28690

tabulation: Freq. Numeric Label 937 0-480 85 .b Do not know 27668 .c Does not apply

Variable: mean min quartile1 median quartile3 max 15.87513 0 5 8 15 480

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w4_609_c_2 Nursing care: Minutes a month (w4)

type: numeric (byte) label: misslab_en, but 4 nonmissing values are not labeled

range: [0,30] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 27753/28690

tabulation: Freq. Numeric Label 921 0 0 2 5 5 1 10 10 13 30 30 85 .b Do not know 27668 .c Does not apply

w4_609_d_1 Nursing care: Hours a year (w4)

type: numeric (int) label: misslab_en, but 53 nonmissing values are not labeled

range: [0,1200] units: 1 unique values: 53 missing .: 0/28690 unique mv codes: 3 missing .*: 28424/28690

tabulation: Freq. Numeric Label 266 0-1200 7 .a Refusal 98 .b Do not know 28319 .c Does not apply

Variable: mean min quartile1 median quartile3 max 84.40977 0 10 30 60 1200

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w4_609_d_2 Nursing care: Minutes a year (w4)

type: numeric (byte) label: misslab_en, but 2 nonmissing values are not labeled

range: [0,30] units: 10 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 28424/28690

tabulation: Freq. Numeric Label 264 0 0 2 30 30 7 .a Refusal 98 .b Do not know 28319 .c Does not apply

w4_610 Nursing care: Does this person/one of these people live in your household (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 24875/28690

tabulation: Freq. Numeric Label 980 1 Yes 2835 2 No 1 .a Refusal 1 .b Do not know 24873 .c Does not apply

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w4_611 Do you mainly care for or take care by yourself these persons (w4)

type: numeric (byte) label: label01r_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 3 missing .*: 27714/28690

tabulation: Freq. Numeric Label 744 1 Yes, predominantly 133 2 Partly 99 3 No, mainly by others 1 .a Refusal 3 .b Do not know 27710 .c Does not apply

w4_612 Have you taken on the legal guardianship for someone on a voluntary basis (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 1305/28690

tabulation: Freq. Numeric Label 1351 1 Yes 26034 2 No 5 .a Refusal 35 .b Do not know 1265 .c Does not apply

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w4_613 Are there other people outside your household, who you help (w4)

type: numeric (byte) label: label02o_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 45/28690

tabulation: Freq. Numeric Label 5631 1 Yes, one person 5806 2 Yes, several persons 17208 3 No 13 .a Refusal 32 .b Do not know

w4_614_1 Instrumental help: Is it relatives (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 17261/28690

tabulation: Freq. Numeric Label 6177 1 Yes 5252 2 No 8 .b Do not know 17253 .c Does not apply

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w4_614_2 Instrumental help: Is it neighbours (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 17260/28690

tabulation: Freq. Numeric Label 4251 1 Yes 7179 2 No 7 .b Do not know 17253 .c Does not apply

w4_614_3 Instrumental help: Is it friends (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 17264/28690

tabulation: Freq. Numeric Label 4789 1 Yes 6637 2 No 11 .b Do not know 17253 .c Does not apply

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w4_614_4 Instrumental help: Is it aquaintances or others (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 17269/28690

tabulation: Freq. Numeric Label 3725 1 Yes 7696 2 No 16 .b Do not know 17253 .c Does not apply

w4_615 How often did you help these people (w4)

type: numeric (byte) label: label02l_en

range: [1,7] units: 1 unique values: 7 missing .: 0/28690 unique mv codes: 3 missing .*: 17302/28690

tabulation: Freq. Numeric Label 320 1 Daily 1632 2 Several times a week 1929 3 Once a week 3215 4 Several times a month 2102 5 Once a month 1840 6 More rarely 350 7 Entirely irregular 4 .a Refusal 45 .b Do not know 17253 .c Does not apply

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w4_616_a_1 Instrumental help: Hours a day (w4)

type: numeric (byte) label: misslab_en, but 15 nonmissing values are not labeled

range: [0,24] units: 1 unique values: 15 missing .: 0/28690 unique mv codes: 3 missing .*: 28393/28690

tabulation: Freq. Numeric Label 28 0 0 68 1 1 71 2 2 34 3 3 29 4 4 21 5 5 10 6 6 5 7 7 6 8 8 9 10 10 3 12 12 1 16 16 2 18 18 1 20 20 9 24 24 2 .a Refusal 21 .b Do not know 28370 .c Does not apply

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w4_616_a_2 Instrumental help: Minutes a day (w4)

type: numeric (int) label: misslab_en, but 12 nonmissing values are not labeled

range: [0,190] units: 1 unique values: 12 missing .: 0/28690 unique mv codes: 3 missing .*: 28393/28690

tabulation: Freq. Numeric Label 248 0 0 1 1 1 1 4 4 1 5 5 2 10 10 1 15 15 2 20 20 35 30 30 3 45 45 1 60 60 1 90 90 1 190 190 2 .a Refusal 21 .b Do not know 28370 .c Does not apply

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w4_616_b_1 Instrumental help: Hours a week (w4)

type: numeric (int) label: misslab_en, but 33 nonmissing values are not labeled

range: [0,150] units: 1 unique values: 33 missing .: 0/28690 unique mv codes: 3 missing .*: 25321/28690

tabulation: Freq. Numeric Label 84 0 0 556 1 1 866 2 2 516 3 3 356 4 4 327 5 5 157 6 6 49 7 7 120 8 8 6 9 9 163 10 10 34 12 12 1 13 13 5 14 14 45 15 15 8 16 16 34 20 20 1 21 21 7 24 24 2 25 25 10 30 30 4 35 35 1 36 36 3 40 40 1 45 45 2 48 48 5 50 50 1 70 70 1 72 72 1 78 78 1 84 84 1 120 120 1 150 150 3 .a Refusal 189 .b Do not know 25129 .c Does not apply

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w4_616_b_2 Instrumental help: Minutes a week (w4)

type: numeric (int) label: misslab_en, but 15 nonmissing values are not labeled

range: [0,480] units: 1 unique values: 15 missing .: 0/28690 unique mv codes: 3 missing .*: 25321/28690

tabulation: Freq. Numeric Label 3153 0 0 2 1 1 1 3 3 15 5 5 1 10 10 5 15 15 179 30 30 1 35 35 1 40 40 4 45 45 1 60 60 2 90 90 2 180 180 1 240 240 1 480 480 3 .a Refusal 189 .b Do not know 25129 .c Does not apply

w4_616_c_1 Instrumental help: Hours a month (w4)

type: numeric (int) label: misslab_en, but 54 nonmissing values are not labeled

range: [0,300] units: 1 unique values: 54 missing .: 0/28690 unique mv codes: 3 missing .*: 23811/28690

tabulation: Freq. Numeric Label 4879 0-300 4 .a Refusal 434 .b Do not know 23373 .c Does not apply

Variable: mean min quartile1 median quartile3 max 7.944251 0 3 5 10 300

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w4_616_c_2 Instrumental help: Minutes a month (w4)

type: numeric (int) label: misslab_en, but 14 nonmissing values are not labeled

range: [0,600] units: 1 unique values: 14 missing .: 0/28690 unique mv codes: 3 missing .*: 23811/28690

tabulation: Freq. Numeric Label 4707 0 0 5 5 5 1 7 7 2 10 0 4 15 5 1 20 0 149 30 0 2 45 5 2 60 0 2 90 0 1 120 120 1 180 180 1 240 240 1 600 600 4 .a Refusal 434 .b Do not know 23373 .c Does not apply

w4_616_d_1 Instrumental help: Hours a year (w4)

type: numeric (int) label: misslab_en, but 68 nonmissing values are not labeled

range: [0,1400] units: 1 unique values: 68 missing .: 0/28690 unique mv codes: 3 missing .*: 26945/28690

tabulation: Freq. Numeric Label 1745 0-1400 9 .a Refusal 485 .b Do not know 26451 .c Does not apply

Variable: mean min quartile1 median quartile3 max 27.14785 0 5 10 25 1400

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w4_616_d_2 Instrumental help: Minutes a year (w4)

type: numeric (int) label: misslab_en, but 8 nonmissing values are not labeled

range: [0,240] units: 1 unique values: 8 missing .: 0/28690 unique mv codes: 3 missing .*: 26945/28690

tabulation: Freq. Numeric Label 1713 0 0 3 5 5 2 10 10 1 15 15 23 30 30 1 50 50 1 180 180 1 240 240 9 .a Refusal 485 .b Do not know 26451 .c Does not apply

w4_617 Have you made donations in the last 12 months (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 116/28690

tabulation: Freq. Numeric Label 15678 1 Yes 12896 2 No 26 .a Refusal 90 .b Do not know

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w4_618 Donation: Up to and including or over 100 euro (w4)

type: numeric (byte) label: label46_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 13192/28690

tabulation: Freq. Numeric Label 9205 1 Up to and including 100 euro 6293 2 Over 100 euro 86 .a Refusal 94 .b Do not know 13012 .c Does not apply

w4_619 Donation: Up to and including or over 500 euro (w4)

type: numeric (byte) label: label47_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 22469/28690

tabulation: Freq. Numeric Label 4719 1 Up to and including 500 euro 1502 2 Over 500 euro 41 .a Refusal 31 .b Do not know 22397 .c Does not apply

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w4_620 Donation: Up to and including or over 1,000 euro (w4)

type: numeric (byte) label: label48_w4_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 27210/28690

tabulation: Freq. Numeric Label 820 1 Up to and including 1,000 euro 660 2 Over 1,000 euro 11 .a Refusal 11 .b Do not know 27188 .c Does not apply

SET OF QUESTIONS 700: LIVING SITUATION, PERSONAL DETAILS II

w4_701 How strongly do you feel you belong to the society in Germany (w4)

type: numeric (byte) label: label03p_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 274/28690

tabulation: Freq. Numeric Label 16078 1 Fully belong 5841 2 Belong partially 5228 3 Partly 691 4 Don't belong 578 5 Don't belong at all 52 .a Refusal 222 .b Do not know

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w4_702 Circle of friends: Mostly people with an immigrant background or not (w4)

type: numeric (byte) label: label129_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 518/28690

tabulation: Freq. Numeric Label 1696 1 Mostly people with an immigrant background 5212 2 In equal amounts 21264 3 Mostly people with no immigrant background 69 .a Refusal 449 .b Do not kno

w4_703_1 German language: To cope with shopping in German shops (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 28047/28690

tabulation: Freq. Numeric Label 580 1 Yes 63 2 No 27990 .c Does not apply 57 .e For technical reasons not available

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w4_703_2 German language: Take part in a German conversation (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 28055/28690

tabulation: Freq. Numeric Label 430 1 Yes 205 2 No 3 .b Do not know 27995 .c Does not apply 57 .e For technical reasons not available

w4_703_3 German language: Follow German TV or radio without problems (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 28057/28690

tabulation: Freq. Numeric Label 333 1 Yes 300 2 No 1 .b Do not know 27999 .c Does not apply 57 .e For technical reasons not available

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w4_703_4 German language: Handle every day matters independently with authorities (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 28,057/28690

tabulation: Freq. Numeric Label 356 1 Yes 277 2 No 5 .b Do not know 27995 .c Does not apply 57 .e For technical reasons not available

w4_704 Which language do you mainly speak when you carry out your activity (w4)

type: numeric (byte) label: label130_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 1 missing .*: 27903/28690

tabulation: Freq. Numeric Label 69 1 The language of your country or origin 531 2 German 24 3 Another language 163 4 Depends on the people and situation 27903 .c Does not apply

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w4_705 Aged 20 and above: Parents doing voluntary work at your childhood/youth (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 3495/28690

tabulation: Freq. Numeric Label 9287 1 Yes 15908 2 No 30 .a Refusal 1336 .b Do not know 2129 .c Does not apply

w4_706 Aged under 20: Parents doing voluntary work at your childhood/youth (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 26910/28690

tabulation: Freq. Numeric Label 871 1 Yes 909 2 No 1 .a Refusal 348 .b Do not know 26561 .c Does not apply

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w4_707 Were both of your parents born in Germany (w4)

type: numeric (byte) label: label02p_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 2956/28690

tabulation: Freq. Numeric Label 23640 1 Yes, both 729 2 Yes, but only my mother 531 3 Yes, but only my father 834 4 No, neither 16 .a Refusal 62 .b Do not know 2878 .c Does not apply

w4_712 Does your mother have the German nationality (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 83/28690

tabulation: Freq. Numeric Label 26357 1 Yes 2250 2 No 26 .a Refusal 57 .b Do not know

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w4_713 Does your father have the German nationality (w4)

type: numeric (byte) label: label01a_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 203/28690

tabulation: Freq. Numeric Label 26060 1 Yes 2427 2 No 28 .a Refusal 175 .b Do not know

w4_714 Do you have enough time left for other things after every day obligations (w4)

type: numeric (byte) label: label02k_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 2 missing .*: 127/28690

tabulation: Freq. Numeric Label 14108 1 Yes, usually 8510 2 Partly 5945 3 No, not usually 25 .a Refusal 102 .b Do not know

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w4_715 Most people can be trusted (w4)

type: numeric (byte) label: label03o_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 122/28690

tabulation: Freq. Numeric Label 2559 1 Fully agree 6734 2 Agree 13853 3 Partly 3987 4 Don't agree 1435 5 Don't agree at all 24 .a Refusal 98 .b Do not know

w4_716_1 Self-efficacy expectation: No problems realising my intentions and goals (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 269/28690

tabulation: Freq. Numeric Label 9298 1 Fully applies 10034 2 Partially applies 7822 3 Partly 877 4 Applies less 390 5 Doesn't apply at all 62 .a Refusal 207 .b Do not know

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w4_716_2 Self-efficacy expectation: Confronted with new, know how to handle (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 258/28690

tabulation: Freq. Numeric Label 9927 1 Fully applies 10757 2 Partially applies 6820 3 Partly 668 4 Applies less 260 5 Doesn't apply at all 48 .a Refusal 210 .b Do not know

w4_716_3 Self-efficacy expectation: Problem occurs, I can deal with it by myself (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 229/28690

tabulation: Freq. Numeric Label 10319 1 Fully applies zu 11518 2 Partially applies 6021 3 Partly 416 4 Applies less 187 5 Doesn't apply at all 64 .a Refusal 165 .b Do not know

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w4_717 I am satisfied with my life (w4)

type: numeric (byte) label: label03n_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 78/28690

tabulation: Freq. Numeric Label 13832 1 Fully applies 9139 2 Partially applies 4656 3 Partly 693 4 Applies less 292 5 Doesn't apply at all 36 .a Refusal 42 .b Do not know

w4_718 How do you rate your current state of health (w4)

type: numeric (byte) label: label03l_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 97/28690

tabulation: Freq. Numeric Label 8766 1 Very good 10387 2 Rather good 6881 3 Average 1974 4 Rather poor 585 5 Very poor 42 .a Refusal 55 .b Do not know

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w4_719 To what extent are you permanently restricted by illness in everyday work (w4)

type: numeric (byte) label: label03q_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 141/28690

tabulation: Freq. Numeric Label 2389 1 Severely restricted 8847 2 Somewhat restricted 6333 3 Not restricted 10980 4 Have no illness 62 .a Refusal 79 .b Do not know

w4_720_1 Values: Power and influence (w4)

type: numeric (byte) label: label03m_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 209/28690

tabulation: Freq. Numeric Label 1176 1 Very important 3363 2 Important 8461 3 Partly 9444 4 Not important 6037 5 Not important at all 57 .a Refusal 152 .b Do not know

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w4_720_2 Values: Imagination and creativity (w4)

type: numeric (byte) label: label03m_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 197/28690

tabulation: Freq. Numeric Label 11712 1 Very important 9325 2 Important 5644 3 Partly 1236 4 Not important 576 5 Not important at all 45 .a Refusal 152 .b Do not know

w4_720_3 Values: Security (w4)

type: numeric (byte) label: label03m_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 203/28690

tabulation: Freq. Numeric Label 12261 1 Very important 10117 2 Important 4557 3 Partly 1124 4 Not important 428 5 Not important at all 44 .a Refusal 159 .b Do not know

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w4_720_4 Values: Help people (w4)

type: numeric (byte) label: label03m_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 305/28690

tabulation: Freq. Numeric Label 7157 1 Very important 9991 2 Important 8607 3 Partly 1878 4 Not important 752 5 Not important at all 57 .a Refusal 248 .b Do not know

w4_720_5 Values: Respecting law and order (w4)

type: numeric (byte) label: label03m_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 96/28690

tabulation: Freq. Numeric Label 18069 1 Very important 7810 2 Important 2225 3 Partly 329 4 Not important 161 5 Not important at all 42 .a Refusal 54 .b Do not know

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w4_720_6 Values: Enjoying the good things (w4)

type: numeric (byte) label: label03m_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 183/28690

tabulation: Freq. Numeric Label 12920 1 Very important 8966 2 Important 5448 3 Partly 889 4 Not important 284 5 Not important at all 51 .a Refusal 132 .b Do not know

w4_721 Rating of financial situation (w4)

type: numeric (byte) label: label03l_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 2 missing .*: 276/28690

tabulation: Freq. Numeric Label 3881 1 Very good 10420 2 Rather good 11172 3 Average 2124 4 Rather poor 817 5 Very poor 217 .a Refusal 59 .b Do not know

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w4_722 Total monthly net income: Up to and including or over 2,000 euro (w4)

type: numeric (byte) label: label132_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 4106/28690

tabulation: Freq. Numeric Label 10866 1 Up to and including 2,000 euro 13718 2 Over 2,000 euro 2242 .a Refusal 599 .b Do not know 1265 .c Does not apply

w4_723 Total monthly net income: Up to and including or over 1,000 euro (w4)

type: numeric (byte) label: label131_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 18037/28690

tabulation: Freq. Numeric Label 3769 1 Up to and including 1,000 euro 6884 2 Over 1,000 euro 137 .a Refusal 76 .b Do not know 17824 .c Does not apply

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w4_724 Total monthly net income: Up to and including or over 3,000 euro (w4)

type: numeric (byte) label: label133_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 15516/28690

tabulation: Freq. Numeric Label 5808 1 Up to and including 3,000 euro 7366 2 Over 3,000 euro 367 .a Refusal 177 .b Do not know 14972 .c Does not apply

w4_725 Total monthly net income: Up to and including or over 4,000 euro (w4)

type: numeric (byte) label: label134_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 21512/28690

tabulation: Freq. Numeric Label 3716 1 Up to and including 4,000 euro 3462 2 Over 4,000 euro 95 .a Refusal 93 .b Do not know 21324 .c Does not apply

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GENERATED AND ADDED VARIABLES 2

w4_altgr4 Age group, 4-stage (w4)

type: numeric (byte) label: label100_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690

tabulation: Freq. Numeric Label 4671 1 14 to 29 years 8005 2 30 to 49 years 8743 3 50 to 64 years 7271 4 65 years and above

w4_altgr13 Age group, 13-stage (w4)

type: numeric (byte) label: label57_en

range: [1,13] units: 1 unique values: 13 missing .: 0/28690

tabulation: Freq. Numeric Label 1854 1 14 to 19 years 1306 2 20 to 24 years 1511 3 25 to 29 years 1774 4 30 to 34 years 1703 5 35 to 39 years 1971 6 40 to 44 years 2557 7 45 to 49 years 3045 8 50 to 54 years 2790 9 55 to 59 years 2908 10 60 to 64 years 2083 11 65 to 69 years 2255 12 70 to 74 years 2933 13 75 years and above

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w4_geschlecht Gender (w4)

type: numeric (byte) label: label99_en

range: [1,2] units: 1 unique values: 2 missing .: 0/28690

tabulation: Freq. Numeric Label 15621 1 Female 13069 2 Male

w4_schulab Highest school-leaving qualification (w4)

type: numeric (byte) label: label58_en

range: [0,3] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 8/28690

tabulation: Freq. Numeric Label 1313 0 No degree yet, still a pupil 5713 1 Low educational level 9560 2 Medium educational level 12096 3 High educational level 6 .a Refusal 2 .b Do not know

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w4_isced Level of education related to ISCED 1997 (w4)

type: numeric (byte) label: label110_en

range: [0,60 units: 1 unique values: 9 missing .: 0/28690 unique mv codes: 2 missing .*: 8/28690

tabulation: Freq. Numeric Label 1313 0 0: Pre-primary education 241 10 1: Primary education 1990 20 2: Lower secondary education 1736 31 3a: Upper secondary education - general 9571 32 3b: Upper secondary education - vocational 2150 41 4a: Post-secondary non-tertiary education, general 3912 51 5a: First stage of tertiary education, general 7348 52 5b: First stage of tertiary education, vocational 421 60 6: Second stage of tertiary education 5 .a Refusal 3 .b Do not know

ISCED 0: Pupil at mainstream school ISCED 1: [No qualification or another qualification] & without vocational training ISCED 2: Lower secondary school (Hauptschule)/ intermediate secondary school

(Realschulabschluss) & without vocational training ISCED 3a: Advanced technical college entrance qualification without vocational training ISCED 3b: Completed traineeship or vocational school or another vocational qualification or

civil servant in ordinary service or middle grade ISCED 4a: Advanced technical college entrance qualification & [completed traineeship or

vocational school] ISCED 5a: University/university of applied sciences/technical college qualification or civil

servant in higher grade ISCED 5b: Master or qualification of university of cooperative education or School of

administrative sciences or civil servant in higher grade ISCED 6: Doctorate/PhD, Post-Doctorate (Habilitation)

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w4_isced3 Level of education related to ISCED 1997, 3-stage (w4)

type: numeric (byte) label: label105_en

range: [0,3] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 2 missing .*: 8/28690

tabulation: Freq. Numeric Label 1313 0 Pupil at mainstream school 2231 1 Low level of education 13457 2 Medium level of education 11681 3 High level of education 5 .a Refusal 3 .b Do not know

w4_erwst Employment status (w4)

type: numeric (byte) label: label98_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 2 missing .*: 99/28690

tabulation: Freq. Numeric Label 10470 1 Employed: Full-time job 3571 2 Employed: Part-time job 1021 3 Not employed: Registered unemployed 8454 4 Not employed: Pensioner/retired person 2969 5 Not employed: In school or training etc. 2106 6 Not employed: Other reasons 29 .a Refusal 70 .b Do not know

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w4_erwt_d Employment status, Dummy (w4)

type: numeric (byte) label: label59_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 54/28690

tabulation: Freq. Numeric Label 14550 0 Not employed 14086 1 Employed 20 .a Refusal 34 .b Do not know

w4_nerwt Second job of non-employed people (w4)

type: numeric (byte) label: label107_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 100/28690

tabulation: Freq. Numeric Label 1940 1 Not employed: Marginal employment 1061 2 Not employed: Other sideline employment 11503 3 Not employed: No sideline employment 14086 4 Employed 24 .a Refusal 66 .b Do not know 10 .e For technical reasons not available

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w4_stib Professional position (w4)

type: numeric (int) label: label114_en

range: [10,530] units: 1 unique values: 27 missing .: 0/28690 unique mv codes: 2 missing .*: 54/28690

tabulation: Freq. Numeric Label 566 10 Not employed - other reasons 417 11 Not employed - on parental leave or maternity leave 955 12 Not employed - housewife/house husband 8454 13 Not employed - pensioner/retired person 3085 15 Not employed - in retraining, further training

52 16 Not employed – voluntary military service, voluntary service

1021 17 Not employed – registered unemployed 245 20 Employed, without further information 27 200 Blue-collar worker, without further information 1036 210 Blue-collar worker: Unskilled or semi-skilled 1059 220 Blue-collar worker: Skilled worker 212 230 Blue-collar worker: Foreman, brigadier, group leader 56 240 Blue-collar worker: Master, general foreman 129 300 White-collar worker, without further information 1221 310 White-collar worker: With a simple activity 4177 320 White-collar worker: With qualified activity

2694 330 White-collar worker: With highly qualified activity or management function

360 340 White-collar worker: With extensive management duties/decision-making powers 68 400 Civil servant, without further information 23 410 Civil servant: Ordinary service 256 420 Civil servant: Middle grade 465 430 Civil servant: Higher grade 308 440 Civil servant: Higher service 9 500 Self-employed, without further information 944 510 Self-employed without employees 622 520 Self-employed with 1 to 9 employees 175 530 Self-employed with 10 and more employees 20 .a Refusal 34 .b Do not know

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w4_hhkons Household constellation (w4)

type: numeric (byte) label: label103_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 2 missing .*: 37/28690

tabulation: Freq. Numeric Label 7867 1 One-person household

2725 2 Multi-person-household: Without partner, without own child

846 3 Multi-person-household: Without partner, with own child 11270 4 Multi-person-household: With partner, without own child 4569 5 Multi-person-household: With partner, with own child 1376 6 Multi-person-household: Partner/child Missing 27 .a Refusal 10 .b Do not know

w4_hheink Monthly net household income (w4)

type: numeric (byte) label: label97_w4_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 3 missing .*: 5051/28690

tabulation: Freq. Numeric Label 3769 1 Up to 1,000 euro 6884 2 1,001 to 2,000 euro 5808 3 2,001 to 3,000 euro 3716 4 3,001 to 4,000 euro 3462 5 4,001 euro and more 2841 .a Refusal 945 .b Do not know 1265 .c Does not apply

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w4_gebland Country of birth: Respondent (w4)

type: numeric (int) label: label61_w4_en

range: [1,150] units: 1 unique values: 76 missing .: 0/28690 unique mv codes: 4 missing .*: 25957/28690

tabulation: Freq. Numeric Label 24 1 Afghanistan 7 2 Egypt 7 4 Algeria 6 7 Argentina 5 8 Armenia 9 9 Azerbaijan 15 13 Belgium 16 19 Bosnia and Herzegovina 14 21 Brazil 27 22 Bulgaria 7 24 Chile 18 25 China 9 27 Denmark 51 36 France 6 39 Georgia 14 40 Ghana 33 41 Greece 36 42 Great Britain 24 48 India 9 49 Indonesia 30 50 Iraq 41 51 Iran 57 55 Italy 9 57 Japan 23 60 Yugoslavia (until 2003) 8 61 Cameron 12 62 Canada 288 63 Kazakhstan 8 64 Kenya 25 65 Kirgizstan 10 66 Colombia 16 68 Kosovo 21 69 Croatia 11 73 Latvia 17 74 Lebanon 18 77 Lithuania 6 78 Luxembourg 17 80 Morocco 9 81 Macedonia 5 82 Mexico 36 90 Netherlands 67 93 Austria 8 95 Pakistan 8 98 Peru

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9 99 Philippines 403 100 Poland 20 102 Portugal 9 105 Moldova 113 106 Romania 130 107 Russian Federation 207 108 Russia 7 111 Silesia (until 1945) 13 112 Sweden 18 113 Switzerland 17 115 Serbia 16 118 Slovakia 7 119 Slovenia 23 121 Spain 7 124 Sudetenland (until 1945) 7 125 South Africa 5 127 South Korea 28 128 Syria 5 129 Tadzhikistan 10 132 Thailand 5 133 Togo 46 135 Czech Republic 27 136 Czechoslovakia (until 1990) 6 137 Tunesia 226 138 Turkey 99 141 Ukraine 33 142 Hungary 61 143 USSR (until 1991) 21 145 Uzbekistan 49 148 USA 9 149 Vietnam 10 150 Belarus 28 .a Refusal 133 .b Do not know 25691 .c Does not apply 105 .d Deleted during data editing

60: Yugoslavia: from 1918/1929 to 1992 resp. 1992 to 2003 the short form of a state’s name

which described several countries in Central and South Eastern Europe that existed in different territorial and political form. A distinction can be made between the Royal Yugoslavia, known today as First Yugoslavia (1918–1941), the socialist Second Yugoslavia (1943/45–1991/92) and the Federal Republic of Yugoslavia, made up of Serbia and Montenegro (1992–2003).

111: Silesia (until1945): Prussian province of Silesia and Austrian Silesia (1742–1918); the province of

Silesia was put under polish administration in 1945. 124: Sudetenland (until 1945): Prior to 1918 rarely used term for the German settlement zone in the bohemian

countries (Bohemia, Moravia, Austrian Silesia); until 1918 part of the Austrian monarchy; 1918- 1938 part of Czechoslovakia; 1938-1945 official name for an administrative subdivision of Nazi Germany (Reichsgau Sudetenland); after World War II incorporated into Czechoslovakia.

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136: Czechoslovakia (until 1990): Designation of a central-European state (existing until 1990), situated on the territory of today’s Czech Republic.

143: Union of Soviet Socialist Republics (USSR) (until 1991): centrally governed, federal one-party state, whose territory stretched from

Eastern Europe and the Caucasus to Central and North Asia; founded 1922 and dissolved as a union in 1991.

w4_gebland_mut Country of birth: Mother (w4)

type: numeric (int) label: label61_w4_enq

range: [1,150] units: 1 unique values: 84 missing .: 0/28690 unique mv codes: 4 missing .*: 24862/28690

tabulation: Freq. Numeric Label 34 1 Afghanistan 5 2 Egypt 11 4 Algeria 6 7 Argentina 7 8 Armenia 11 9 Azerbaijan 20 13 Belgium 27 19 Bosnia and Herzegovina 15 21 Brazil 32 22 Bulgaria 8 24 Chile 21 25 China 17 27 Denmark 5 34 Estonia 7 35 Finland 61 36 France 11 39 Georgia 20 40 Ghana 63 41 Greece 44 42 Great Britain 25 48 India 10 49 Indonesia 35 50 Iraq 49 51 Iran 93 55 Italy 8 57 Japan 5 59 Jordan 65 60 Yugoslavia (until 2003) 10 61 Cameron 5 62 Canada 235 63 Kazakhstan 10 64 Kenya 16 65 Kirgizstan 13 66 Colombia

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23 68 Kosovo 38 69 Croatia 20 73 Latvia 24 74 Lebanon 19 77 Lithuania 6 78 Luxembourg 25 80 Morocco 14 81 Macedonia 6 84 Montenegro 57 90 Netherlands 5 91 Nigeria 7 92 Norway 120 93 Austria 10 94 Austria-Hungary (until 1918) 15 95 Pakistan 9 96 Palestine 9 98 Peru 15 99 Philippines 488 100 Poland 22 102 Portugal 5 103 Prussia (until 1945) 8 105 Moldova 148 106 Romania 157 107 Russian Federation 294 108 Russia 19 111 Silesia (until 1945) 11 112 Sweden 34 113 Switzerland 26 115 Serbia 21 118 Slovakia 13 119 Slovenia 39 121 Spain 13 122 Sri Lanka 16 124 Sudetenland (until 1945) 10 125 South Africa 11 127 South Korea 31 128 Syria 14 132 Thailand 7 133 Togo 88 135 Czech Republic 57 136 Czechoslovakia (until 1990) 13 137 Tunesia 455 138 Turkey 160 141 Ukraine 68 142 Hungary 71 143 USSR (until 1991) 17 145 Uzbekistan 51 148 USA 17 149 Vietnam 18 150 Belarus 44 .a Refusal 86 .b Do not know 24624 .c Does not apply 108 .d Deleted during data editing

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60: Yugoslavia (until 2003): from 1918/1929 to 1992 resp. 1992 to 2003 the short form of a state’s name

which described several countries in Central and South Eastern Europe that existed in different territorial and political form. A distinction can be made between the Royal Yugoslavia, known today as First Yugoslavia (1918–1941), the socialist Second Yugoslavia (1943/45–1991/92) and the Federal Republic of Yugoslavia, made up of Serbia and Montenegro (1992–2003).

94: Austria-Hungary (until 1918): denotes the nation state ruled by the House of Habsburg in Central and South

Eastern Europa between 1867 and 1918. 103: Prussia (until 1945): State that existed from the Middle Ages until the end of the Second World War,

situated between the Baltic Sea, Pomerania, Poland and Lithuania.. 111: Silesia (until 1945): Prussian province of Silesia and Austrian Silesia (1742–1918); the province of

Silesia was put under polish administration in 1945. 124: Sudetenland (until 1945): Prior to 1918 rarely used term for the German settlement zone in the bohemian

countries (Bohemia, Moravia, Austrian Silesia); until 1918 part of the Austrian monarchy; 1918- 1938 part of Czechoslovakia; 1938-1945 official name for an administrative subdivision of Nazi Germany (Reichsgau Sudetenland); after World War II incorporated into Czechoslovakia.

136: Czechoslovakia (until 1990): Designation of a central-European state (existing until 1990), situated on the

territory of today’s Czech Republic. 143: Union of Soviet Socialist Republics (USSR) (until 1991): centrally governed, federal one-party state, whose territory stretched from

Eastern Europe and the Caucasus to Central and North Asia; founded 1922 and dissolved as a union in 1991.

w4_gebland_vat Country of birth: Father (w4)

type: numeric (int) label: label61_w4_en

range: [1,150] units: 1 unique values: 87 missing .: 0/28690 unique mv codes: 4 missing .*: 24741/28690

tabulation: Freq. Numeric Label 38 1 Afghanistan 10 2 Egypt 5 3 Albania 9 4 Algeria 7 7 Argentina 11 8 Armenia 9 9 Azerbaijan 17 13 Belgium 5 15 Bessarabia (until 1940) 27 19 Bosnia and Herzegovina 12 21 Brazil 30 22 Bulgaria 8 24 Chile

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22 25 China 13 27 Denmark 5 34 Estonia 5 35 Finland 69 36 France 7 39 Georgia 21 40 Ghana 76 41 Greece 56 42 Great Britain 27 48 India 10 49 Indonesia 37 50 Iraq 51 51 Iran 5 54 Israel 131 55 Italy 8 57 Japan 64 60 Yugoslavia (until 2003) 11 61 Cameron 8 62 Canada 214 63 Kazakhstan 6 64 Kenya 18 65 Kirgizstan 11 66 Colombia 24 68 Kosovo 38 69 Croatia 5 70 Cuba 18 73 Latvia 27 74 Lebanon 17 77 Lithuania 5 78 Luxembourg 26 80 Morocco 15 81 Macedonia 8 82 Mexico 5 84 Montenegro 60 90 Netherlands 8 91 Nigeria 117 93 Austria 13 94 Austria-Hungary (until 1918) 15 95 Pakistan 10 96 Palestine 7 98 Peru 6 99 Philippines 479 100 Poland 20 102 Portugal 8 105 Moldova 163 106 Romania 168 107 Russian Federation 290 108 Russia 16 111 Silesia (until 1945) 13 112 Sweden 24 113 Switzerland 33 115 Serbia 23 118 Slovakia 7 119 Slovenia 43 121 Spain 14 122 Sri Lanka

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23 124 Sudetenland (until 1945) 5 125 South Africa 6 127 South Korea 37 128 Syria 7 129 Tadzhikistan 5 132 Thailand 7 133 Togo 76 135 Czech Republic 61 136 Czechoslovakia (until 1990) 16 137 Tunesia 481 138 Turkey 175 141 Ukraine 78 142 Hungary 73 143 USSR (until 1991) 10 145 Uzbekistan 69 148 USA 18 149 Vietnam 14 150 Belarus 50 .a Refusal 142 .b Do not know 24447 .c Does not apply 102 .d Deleted during data editing 15: Bessarabia (until 1940): historic landscape in South Eastern Europe; correspond widley of today’s area of

Moldova to the west of Dniester river, only the South and the far North are part of the Ukraine; in 1940 the UdSSR occupied and split Bessarabia.

60: Yugoslavia: from 1918/1929 to 1992 resp. 1992 to 2003 the short form of a state’s name

which described several countries in Central and South Eastern Europe that existed in different territorial and political form. A distinction can be made between the Royal Yugoslavia, known today as First Yugoslavia (1918–1941), the socialist Second Yugoslavia (1943/45–1991/92) and the Federal Republic of Yugoslavia, made up of Serbia and Montenegro (1992–2003).

94: Austria-Hungary (until 1918): denotes the nation state ruled by the House of Habsburg in Central and South

Eastern Europa between 1867 and 1918. 111: Silesia (until 1945): Prussian province of Silesia and Austrian Silesia (1742–1918); the province of

Silesia was put under polish administration in 1945. 124: Sudetenland (until 1945): Prior to 1918 rarely used term for the German settlement zone in the bohemian

countries (Bohemia, Moravia, Austrian Silesia); until 1918 part of the Austrian monarchy; 1918- 1938 part of Czechoslovakia; 1938-1945 official name for an administrative subdivision of Nazi Germany (Reichsgau Sudetenland); after World War II incorporated into Czechoslovakia.

136: Czechoslovakia (until 1990): Designation of a central-European state (existing until 1990), situated on the

territory of today’s Czech Republic. 143: Union of Soviet Socialist Republics (USSR) (until 1991): centrally governed, federal one-party state, whose territory stretched from

Eastern Europe and the Caucasus to Central and North Asia; founded 1922 and dissolved as a union in 1991.

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w4_gebreg Region of birth: Respondent (w4)

type: numeric (byte) label: label62_en

range: [1,9] units: 1 unique values: 9 missing .: 0/28690 unique mv codes: 4 missing .*: 25857/28690

tabulation: Freq. Numeric Label 411 1 Europe: Poland (incl. Silesia, Pomerania, etc.) 412 2 Europe: Other East European countries minus Poland 134 3 Europe: Southern Europe 257 4 Europe: Western/Northern Europe 288 5 Commonwealth of Independent States (CIS): Kazakhstan 591 6 CIS: Others minus Kazakhstan 226 7 Asia: Turkey 266 8 Asia: Other Asian countries minus Turkey/ minus CIS 248 9 Other countries 28 .a Refusal 133 .b Do not know 25691 .c Does not apply 5 .d Deleted during data editing

w4_gebreg_mut Region of birth: Mother (w4)

type: numeric (byte) label: label62_en

range: [1,9] units: 1 unique values: 9 missing .: 0/28690 unique mv codes: 4 missing .*: 24769/28690

tabulation: Freq. Numeric Label 515 1 Europe: Poland (incl. Silesia, Pomerania, etc.) 697 2 Europe: Other East European countries minus Poland 218 3 Europe: Southern Europe 385 4 Europe: Western/Northern Europe 235 5 Commonwealth of Independent States (CIS): Kazakhstan 777 6 CIS: Others minus Kazakhstan 455 7 Asia: Turkey 351 8 Asia: Other Asian countries minus Turkey/ minus CIS 288 9 Other countries 44 .a Refusal 86 .b Do not know 24624 .c Does not apply 15 .d Deleted during data editing

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w4_gebreg_vat Region of birth: Father (w4)

type: numeric (byte) label: label62_en

range: [1,9] units: 1 unique values: 9 missing .: 0/28690 unique mv codes: 4 missing .*: 24656/28690

tabulation: Freq. Numeric Label 499 1 Europe: Poland (incl. Silesia, Pomerania, etc.) 720 2 Europe: Other East European countries minus Poland 272 3 Europe: Southern Europe 383 4 Europe: Western/Northern Europe 214 5 Commonwealth of Independent States (CIS): Kazakhstan 790 6 CIS: Others minus Kazakhstan 481 7 Asia: Turkey 352 8 Asia: Other Asian countries minus Turkey/ minus CIS 323 9 Other countries 50 .a Refusal 142 .b Do not know 24447 .c Does not apply 17 .d Deleted during data editing

w4_mig_destatis Migrant background: 5-stage, related to Statistisches Bundesamt 2013 (w4)

type: numeric (byte) label: label106_en

range: [0,4] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 3 missing .*: 332/28690

tabulation: Freq. Numeric Label 23441 0 Without migrant background 1187 1 Foreigner: Own migration experience 1496 2 German: Own migration experience 280 3 Foreigner: Migration experience 2nd generation 1954 4 German: Migration experience 2nd generation 48 .a Refusal 276 .b Do not know 8 .d Deleted during data editing

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w4_mig_gen_1 Migration background: Dummy, own migrant experience in 1st generation (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 182/28690

tabulation: Freq. Numeric Label 25822 0 No 2686 1 Yes 23 .a Refusal 159 .b Do not know

w4_mig_gen_1_2 Migration background: Dummy, migrant experience in 1st or 2nd generation (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 119/28690

tabulation: Freq. Numeric Label 23587 0 No 4984 1 Yes 16 .a Refusal 103 .b Do not know

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w4_eng Volunteering-Dummy (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 1 missing .*: 1/28690

tabulation: Freq. Numeric Label 16173 0 No 12516 1 Yes 1 .a Refusal

w4_agrad Level of voluntary activity (w4)

type: numeric (byte) label: label55_w4_en

range: [1,3] units: 1 unique values: 3 missing .: 0/28690 unique mv codes: 1 missing .*: 1/28690

tabulation: Freq. Numeric Label 8261 1 Persons who are neither active nor volunteers 7912 2 Active persons, who do not volunteer 12516 3 Active and volunteering persons 1 .a Refusal

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w4_anz_eng Number of voluntary activities (w4)

type: numeric (byte) label: misslab_en, but 14 nonmissing values are not labeled

range: [0,13] units: 1 unique values: 14 missing .: 0/28690 unique mv codes: 1 missing .*: 1/28690

tabulation: Freq. Numeric Label 16173 0 0 5992 1 1 3355 2 2 1670 3 3 798 4 4 352 5 5 170 6 6 94 7 7 48 8 8 23 9 9 7 10 10 3 11 11 3 12 12 1 13 13 1 .a Refusal

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w4_ber_zeitaufw Area of the most time-consuming voluntary activity (w4)

type: numeric (byte) label: label28_w4_en

range: [1,14] units: 1 unique values: 14 missing .: 0/28690 unique mv codes: 4 missing .*: 16356/28690

tabulation: Freq. Numeric Label 3138 1 Sport and exercise 1483 2 Culture and music 1017 3 Leisure and social interaction 1485 4 Social area 344 5 Health area 1250 6 School or nursery area 429 7 Youth work outside school or adult education 456 8 Environment, nature protection or animal rights 512 9 Politics and political interest groups 307 10 Professional interest groups outside work 1052 11 Church or religious area 74 12 Justice and criminality 406 13 Accident or ambulance service, voluntary fire brigade 381 14 Area not yet mentioned 5 .a Refusal 85 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

w4_eint Interest in volunteering by volunteers and non-volunteers (w4)

type: numeric (byte) label: label56_w4_en

range: [1,6] units: 1 unique values: 6 missing .: 0/28690 unique mv codes: 3 missing .*: 194/28690

tabulation: Freq. Numeric Label 2061 1 Volunteering: interest in expanding volunteering 1893 2 Not volunteering: interest in taking up a voluntary activity 5359 3 Volunteering: possibly interested in expanding volunteering 7503 4 Not volunteering: possibly interested in taking up a voluntary activity 5072 5 Volunteering: no interest in expanding volunteering 6608 6 Not volunteering: no interest in taking up a voluntary activity 8 .a Refusal 90 .b Do not know 96 .d Deleted during data editing

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w4_std_eng_zeitaufw Hours spent on most time-consuming activity a year (w4)

type: numeric (float) label: misslab_en, but 215 nonmissing values are not labeled

range: [1,4160] units: 1.000e-07 unique values: 215 missing .: 0/28690 unique mv codes: 4 missing .*: 16891/28690

tabulation: Freq. Numeric Label 11799 1-4160 7 .a Refusal 618 .b Do not know 16078 .c Does not apply 188 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 215.8516 1 48 104 240 4160

w4_std_eng_ges Hours for all voluntary activites a year (w4)

type: numeric (float) label: misslab_en, but 220 nonmissing values are not labeled

range: [0.016667,4160] units: 1.000e-09 unique values: 220 missing .: 0/28690 unique mv codes: 4 missing .*: 16901/28690

tabulation: Freq. Numeric Label 11789 0.016667- 4160 11 .a Refusal 716 .b Do not know 16078 .c Does not apply 96 .d Deleted during data editing

Variable: mean min quartile1 median quartile3 max 252.3775 0.0166667 52 120 260 4160

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w4_verguetung Amount of payments per month (w4)

type: numeric (byte) label: label109_en

range: [1,5] units: 1 unique values: 5 missing .: 0/28690 unique mv codes: 4 missing .*: 27530/28690

tabulation: Freq. Numeric Label 642 1 1 to 50 euro 357 2 51 to 150 euro 105 3 151 to 350 euro 29 4 351 to 500 euro 27 5 501 euro and more 23 .a Refusal 29 .b Do not know 27290 .c Does not apply 188 .d Deleted during data editing

w4_iul_ges Informal support, total (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 51/28690

tabulation: Freq. Numeric Label 10179 0 No 18460 1 Yes 15 .a Refusal 36 .b Do not know

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w4_iul_kind Informal support: Child care (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 39/28690

tabulation: Freq. Numeric Label 19761 0 No 8890 1 Yes 12 .a Refusal 27 .b Do not know

w4_iul_pflege Informal support: Nursing care (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 30/28690

tabulation: Freq. Numeric Label 23648 0 No 5012 1 Yes 7 .a Refusal 23 .b Do not know

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w4_iul_hilfe Informal support: Instrumental help (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 45/28690

tabulation: Freq. Numeric Label 17208 0 No 11437 1 Yes 13 .a Refusal 32 .b Do not know

w4_iul_std_ges Hours spent on informal support a year (w4)

type: numeric (float) label: misslab_en, but 1163 nonmissing values are not labeled

range: [0.08333334,8760] units: 1.000e-09 unique values: 1163 missing .: 0/28690 unique mv codes: 3 missing .*: 11772/28690

tabulation: Freq. Numeric Label 16918 0.083333-8760 55 .a Refusal 1538 .b Do not know 10179 .c Does not apply

Variable: mean min quartile1 median quartile3 max 444.5247 0.0833333 52 150 396 8760

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w4_iul_std_kind Hours spent on child care a year (w4)

type: numeric (float) label: misslab_en, but 202 nonmissing values are not labeled

range: [0.01666667,4160] units: 1.000e-09 unique values: 202 missing .: 0/28690 unique mv codes: 3 missing .*: 20700/28690

tabulation: Freq. Numeric Label 7990 0.016667-4160 29 .a Refusal 910 .b Do not know 19761 .c Does not apply

Variable: mean min quartile1 median quartile3 max 277.9676 0.0166667 36 120 260 4160

w4_iul_std_pflege Hours spent on nursing care a year (w4)

type: numeric (float) label: misslab_en, but 178 nonmissing values are not labeled

range: [0.5,8760] units: 1.000e-07 unique values: 178 missing .: 0/28690 unique mv codes: 3 missing .*: 24075/28690

tabulation: Freq. Numeric Label 4615 0.5-8760 21 .a Refusal 406 .b Do not know 23648 .c Does not apply

Variable: mean min quartile1 median quartile3 max 804.5841 0.5 120 260 730 8760

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w4_iul_std_hilfe Hours spent on instrumental help a year (w4)

type: numeric (float) label: misslab_en, but 191 nonmissing values are not labeled

range: [0.08333334,4160] units: 1.000e-09 unique values: 191 missing .: 0/28690 unique mv codes: 3 missing .*: 18400/28690

tabulation: Freq. Numeric Label 10290 0.083333-4160 31 .a Refusal 1161 .b Do not know 17208 .c Does not apply

Variable: mean min quartile1 median quartile3 max 158.086 0.0833333 30 60 156 4160

w4_geldspende Amount of money donated in the last year (w4)

type: numeric (byte) label: label102_en

range: [1,4] units: 1 unique values: 4 missing .: 0/28690 unique mv codes: 3 missing .*: 13286/28690

tabulation: Freq. Numeric Label 9205 1 1 to 100 euro 4719 2 101 to 500 euro 820 3 501 to 1,000 euro 660 4 1,001 euro and more 164 .a Refusal 226 .b Do not know 12896 .c Does not apply

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w4_fd_ges Voluntary service: Current or finished, dummy (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 112/28690

tabulation: Freq. Numeric Label 27687 0 No 891 1 Yes 24 .a Refusal 88 .b Do not know

w4_fd_ges_abg Voluntary serice: Finished, dummy (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 3 missing .*: 1343/28690

tabulation: Freq. Numeric Label 26481 0 No 866 1 Yes 5 .a Refusal 39 .b Do not know 1299 .c Does not apply

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w4_fd_bufdi Federal voluntary service (Bundesfreiwilligendienst): Current/finished (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 113/28690

tabulation: Freq. Numeric Label 28463 0 No 114 1 Ja 25 .a Refusal 88 .b Do not know

w4_fd_jug Youth voluntary service (Jugendfreiwilligendienst): Current/finished (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 113/28690

tabulation: Freq. Numeric Label 27990 0 No 587 1 Ja 25 .a Refusal 88 .b Do not know

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w4_fd_sonst Other voluntary service: Current/finished (w4)

type: numeric (byte) label: label01b_en

range: [0,1] units: 1 unique values: 2 missing .: 0/28690 unique mv codes: 2 missing .*: 112/28690

tabulation: Freq. Numeric Label 28388 0 No 190 1 Yes 24 .a Refusal 88 .b Do not know