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]
226
Embed
German Centre of Gerontology – Deutsches Zentrum für ... · w4_201_13 Actively participate: Accident or ambulance service, voluntary fire brigade (w4) 63 ... w4_302 Volunteered
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
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]
2
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.
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
11
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
12
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
13
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_fd_bufdi Federal voluntary service (Bundesfreiwilligendienst): Current/finished (w4) 225
15
w4_fd_jug Youth voluntary service (Jugendfreiwilligendienst): Current/finished (w4) 225
w4_fd_sonst Other voluntary service: Current/finished (w4) 226
16
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:
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
17
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
18
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.
19
GENERATED AND ADDED VARIABLES 1
w4_teilstp Subsample mobile phone network or landline (w4)
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
21
w4_bbsr_regtyp BBSR region type (BBSR Regionstyp) (w4)
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
25
w4_105 In what year did you move to Germany (w4)
type: numeric (int) label: misslab_en, but 70 nonmissing values are not labeled
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
29
w4_110 Do you yourself care for or look after this child/these children (w4)
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
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
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
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)
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
37
w4_126 School attendance abroad: Number of school years (w4)
type: numeric (byte) label: misslab_en, but 20 nonmissing values are not labeled
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
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
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
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)
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
47
w4_145 Women: Did you do voluntary military service (w4)
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)
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
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
84
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
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
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
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
95
w4_406 Target group older people: People with dementia (w4)
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
96
w4_408 Do you carry out this activity as part of your voluntary service (w4)
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
98
w4_412 Persons with immigrant background are the majority in the organisation (w4)
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
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
110
w4_421 Have you ever taken part in courses or seminars for further training (w4)
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)
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
111
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
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
114
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
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
117
w4_427 Do you as a rule make use of a reimbursement of costs (w4)
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)
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
119
w4_431 Payments per month: Up to and including or over 350 euro (w4)
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)
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
120
w4_433 Did you receive non-cash payments for your activity in the last 12 months (w4)
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
122
w4_436_2 My circle of acquaintances share the same interest in this activity (w4)
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)
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
123
w4_436_4 Activity allows me to learn things through practical experience (w4)
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)
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
124
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
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
125
w4_438_2 Impetus: Family members, friends or acquaintances (w4)
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)
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
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
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
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
128
w4_438_8 Impetus: School, college or training (w4)
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
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
129
w4_439 Did the initiative come from you or were you asked (w4)
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
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
131
w4_442_2 Organisation: Options for further education (w4)
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)
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
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
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
133
w4_442_6 Organisation: Recognition in form of reports/identity cards (w4)
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)
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
134
w4_443_1 State/public: Safeguarding through third-party liability/accident insurance (w4)
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)
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
135
w4_443_3 State/public: Tax exemption of expense allowances (w4)
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)
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
136
w4_443_5 State/public: Recognition like honouring (w4)
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)
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
137
w4_443_7 State/public: Reconciliation with the profession (w4)
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
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
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
166
w4_609_a_1 Nursing care: Hours a day (w4)
type: numeric (byte) label: misslab_en, but 22 nonmissing values are not labeled
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
175
w4_616_a_1 Instrumental help: Hours a day (w4)
type: numeric (byte) label: misslab_en, but 15 nonmissing values are not labeled
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)
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
186
w4_705 Aged 20 and above: Parents doing voluntary work at your childhood/youth (w4)
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)
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
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
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
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
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
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
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
196
w4_722 Total monthly net income: Up to and including or over 2,000 euro (w4)
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)
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
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
200
w4_isced Level of education related to ISCED 1997 (w4)
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)
201
w4_isced3 Level of education related to ISCED 1997, 3-stage (w4)
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
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
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
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
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
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
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.
207
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.
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
208
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
209
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.
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
211
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.
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
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
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)
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
216
w4_anz_eng Number of voluntary activities (w4)
type: numeric (byte) label: misslab_en, but 14 nonmissing values are not labeled
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)
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
218
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
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
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
224
w4_fd_ges Voluntary service: Current or finished, dummy (w4)