View: |
Part 1: Document Description |
Title: |
xml codebook for ISSP 2009 - Social inequality IV: Sweden |
Parallel Title: |
xml-kodbok för ISSP 2009 - Åsikter om ojämlikhet i Sverige |
Identification Number: |
0875-001 |
Authoring Entity: |
Swedish national data service |
Producer: |
Swedish national data service |
Copyright: |
Copyright (c) Swedish national data service 2010 |
Date of Production: |
2010-03-23 |
Software used in Production: |
Nesstar Publisher |
Distributor: |
Swedish national data service |
Version: |
|
Bibliographic Citation: |
xml codebook for ISSP 2009 - Social inequality IV: Sweden, 1st xml edition, Gothenburg 2010 |
Documentation Source | |
Title: |
ISSP 2009 - Social inequality IV: Sweden |
Identification Number: |
0875-001 |
Distributor: |
Swedish national data service |
Title: |
ISSP 2009 - Social inequality IV: Sweden |
Parallel Title: |
ISSP 2009 - Åsikter om ojämlikhet i Sverige |
Identification Number: |
0875-001 |
Authoring Entity: |
Edlund, Jonas (Umeå University, Department of Sociology) |
Svallfors, Stefan (Umeå University, Department of Sociology) |
|
Producer: |
Umeå University, Department of Sociology |
Software used in Production: |
Nesstar Publisher |
Distributor: |
Swedish National Data service |
Date of Deposit: |
|
Series Name: |
International Social Survey Programme |
Series Information: |
The International Social Survey Programme (ISSP) is a continuing annual programme of cross-national collaboration on surveys covering topics important for social science research. It brings together pre-existing national social science projects and coordinates research goals, thereby adding a cross-national, cross-cultural perspective to the individual, national studies. Formed in 1983, the group develops topical modules dealing with important areas of social science as supplements to regular national surveys. Every survey includes questions about general attitudes toward various social issues such as the legal system, sex, and the economy. Special topics have included the environment, the role of government, social inequality, social support, family and gender issues, work orientation, the impact of religious background, behaviour, and beliefs on social and political preferences, and national identity. Participating countries vary for each topical module. The merging of the data into a cross-national dataset is performed by the Zentralarchiv für Empirische Sozialforschung, University of Cologne. |
Version: |
Release |
Study Scope | |
Keywords: |
economics , welfare , work |
Topic Classification: |
equality and inequality , social behaviour and attitudes , social welfare systems/structures |
Abstract: |
This survey is the Swedish part of the 200 'International Social Survey Program' (ISSP), and it is the second time Sweden participates in an ISSP-survey focusing on social inequality. |
Time Period: |
- |
Date of Collection: |
- |
Country: |
Sweden |
Unit of Analysis: |
Individual |
Universe: |
Individuals aged 17-79 years and residing in Sweden. |
Kind of Data: |
Survey data |
Methodology and Processing | |
Time Method: |
Cross-sectional regular study |
Data Collector: |
SIFO Research International |
Sampling Procedure: |
Random sample |
Mode of Data Collection: |
Postal survey |
Type of Research Instrument: |
Semi-structured |
Sources Statement | |
Actions to Minimize Losses: |
Separate postal survey with several reminders. Respondents received an introductory letter and a week later a gift (value about USD 3) along with the questionnaire. The gift was free and was not associated with any obligations. 16 February 2009 - introductory etter about the survey. 23 February - postal survey + lottery ticket. 4 March - postal reminder + questionnaire. 16 March postal reminder + questionnaire. 7 April postal reminder + questionnaire (only to those with unknown telephone numbers). 7-20 April - reminder by telephone + questionnaire to those wishing a questionnaire. |
Response Rate: |
58,7 |
Class of the Study: |
SND Class 2: Only checked. Not processed at SND |
Data Access | |
Extent of Collection: |
1 data file + machine-readable documentation (text) + SPSS data definition statements + SAS data definition statements. Other formats on demand. |
Restrictions: |
Access to the material granted for scientific and educational purpose; SND´s permission procedure. |
Citation Requirement: |
Publications based on SND collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publication. |
Deposit Requirement: |
Users of SND data are requested to send to SND bibliographic citations for, or copies of, each completed manuscript or thesis abstract. |
Disclaimer: |
The original collector of the data, SND, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses. According to an agreement between the principal investigator and SND this study can be disseminated to and analyzed by researchers on condition that the usage is for research purpose. The code of ethics for humanities and social sciences research established in 1990 by the Swedish Council for Research in the Humanities and Social Science, and published in HSFR ethics, must be adhered to wherever applicable. |
Other Study Description Materials | |
Related Materials | |
Title: |
Questionnaire |
http://www.snd.gu.se/en/catalogue/file/1756 |
|
Related Studies | |
Title: |
ISSP 1996 - Role of government III: Sweden (SND 0587) |
http://www.snd.gu.se/en/catalogue/study/323 |
|
Title: |
ISSP 1994 - Family and changing gender roles II: Sweden (SND 0481) |
http://www.snd.gu.se/en/catalogue/study/266 |
|
Title: |
ISSP 1995 - National identity I: Sweden (SND 0502) |
http://www.snd.gu.se/en/catalogue/study/282 |
|
Title: |
ISSP 1997 - Work orientations II: Sweden (SND 0722) |
http://www.snd.gu.se/en/catalogue/study/390 |
|
Title: |
ISSP 1998 - Religion II: Sweden (SND 0716) |
http://www.snd.gu.se/en/catalogue/study/388 |
|
Title: |
ISSP 2000 - Environment II: Sweden (SND 0753) |
http://www.snd.gu.se/en/catalogue/study/407 |
|
Title: |
ISSP 2002 - Family and changing gender roles III: Sweden (SND 0793) |
http://www.snd.gu.se/en/catalogue/study/427 |
|
Title: |
ISSP 2003 - National identity II: Sweden (SND 0805) |
http://www.snd.gu.se/en/catalogue/study/439 |
|
Title: |
ISSP 2004 - Citizenship I: Sweden (SND 0815) |
http://www.snd.gu.se/en/catalogue/study/449 |
|
Title: |
ISSP 2005 - Work orientations III: Sweden (SND 0816) |
http://www.snd.gu.se/en/catalogue/study/450 |
|
Title: |
Attitudes to inequality 1991 - A Swedish survey (SND 0297) |
http://www.snd.gu.se/en/catalogue/study/177 |
|
Title: |
ISSP 2006 - Role of government IV: Sweden (SND 0849) |
http://www.snd.gu.se/en/catalogue/study/483 |
|
Title: |
ISSP 2007 - Leisure time and Sports I: Sweden (SND 0862) |
http://www.snd.gu.se/en/catalogue/study/511 |
|
Title: |
ISSP 2008 - Religion III: Sweden (SND 0867) |
http://www.snd.gu.se/en/catalogue/study/523 |
|
Title: |
ISSP 1999 - Social inequality III: Sweden (SND 0727) |
http://www.snd.gu.se/en/catalogue/study/394 |
|
|
|
List of Variables: |
|
Variables |
Swedish Social Science Data Service study 0875
Value |
Label |
Frequency |
|
|---|---|---|---|
875. |
1137 |
Range of Valid Data Values: 875-875
Summary Statistics: Valid 1137 ;
Variable Format: numeric
SSD Edition Identification NR
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1137 |
Range of Valid Data Values: 1-1
Summary Statistics: Valid 1137 ;
Variable Format: numeric
SSD Part Identification NR
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1137 |
Range of Valid Data Values: 1-1
Summary Statistics: Valid 1137 ;
Variable Format: numeric
ID-nummer
Range of Valid Data Values: 100101-102099
Summary Statistics: Valid 1137 ; Min. 100101 ; Max. 102099
Variable Format: numeric
Q1a. Important for getting ahead in life - Wealthy family
To begin, we have some questions about opportunities for getting ahead in life. Please tick one box for the alternative most in line with your opinion.
How important is coming from a wealthy family for getting ahead in life?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
29 |
|
2. |
Very important |
118 |
|
3. |
Fairly important |
369 |
|
4. |
Not very important |
404 |
|
5. |
Not important at all |
171 |
|
8. |
Don't know |
21 |
|
9. |
No answer |
25 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1112 ;
Variable Format: numeric
Q1b. Important for getting ahead in life - Well-educated parents
How important is well-educated parents for getting ahead in life?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
16 |
|
2. |
Very important |
216 |
|
3. |
Fairly important |
480 |
|
4. |
Not very important |
285 |
|
5. |
Not important at all |
105 |
|
8. |
Don't know |
8 |
|
9. |
No answer |
27 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1110 ;
Variable Format: numeric
Q1c. Important for getting ahead in life - Being well-educated
How important is having a good education yourself for getting ahead in life?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
116 |
|
2. |
Very important |
602 |
|
3. |
Fairly important |
355 |
|
4. |
Not very important |
35 |
|
5. |
Not important at all |
11 |
|
8. |
Don't know |
3 |
|
9. |
No answer |
15 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1122 ;
Variable Format: numeric
Q1d. Important for getting ahead in life - Being ambitious
How important is having ambition?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
275 |
|
2. |
Very important |
657 |
|
3. |
Fairly important |
163 |
|
4. |
Not very important |
11 |
|
5. |
Not important at all |
3 |
|
8. |
Don't know |
7 |
|
9. |
No answer |
21 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1116 ;
Variable Format: numeric
Q1e. Important for getting ahead in life - Work hard
How important is hard work?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
227 |
|
2. |
Very important |
609 |
|
3. |
Fairly important |
227 |
|
4. |
Not very important |
37 |
|
5. |
Not important at all |
5 |
|
8. |
Don't know |
5 |
|
9. |
No answer |
27 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1110 ;
Variable Format: numeric
Q1f. Important for getting ahead in life - Knowing the right people
How important is knowing the right people?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
105 |
|
2. |
Very important |
336 |
|
3. |
Fairly important |
470 |
|
4. |
Not very important |
167 |
|
5. |
Not important at all |
23 |
|
8. |
Don't know |
15 |
|
9. |
No answer |
21 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1116 ;
Variable Format: numeric
Q1g. Important for getting ahead in life - Political connections
How important is having political connections?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
19 |
|
2. |
Very important |
51 |
|
3. |
Fairly important |
179 |
|
4. |
Not very important |
504 |
|
5. |
Not important at all |
279 |
|
8. |
Don't know |
79 |
|
9. |
No answer |
26 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1111 ;
Variable Format: numeric
Q1h. Important for getting ahead in life - Giving bribes
How important is giving bribes?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
8 |
|
2. |
Very important |
6 |
|
3. |
Fairly important |
24 |
|
4. |
Not very important |
133 |
|
5. |
Not important at all |
733 |
|
8. |
Don't know |
205 |
|
9. |
No answer |
28 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1109 ;
Variable Format: numeric
Q1i. Important for getting ahead in life - Person's race
How important is a person's race?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
12 |
|
2. |
Very important |
64 |
|
3. |
Fairly important |
249 |
|
4. |
Not very important |
298 |
|
5. |
Not important at all |
402 |
|
8. |
Don't know |
90 |
|
9. |
No answer |
22 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1115 ;
Variable Format: numeric
Q1j. Important for getting ahead in life - Person's religion
How important is a person's religion?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
8 |
|
2. |
Very important |
39 |
|
3. |
Fairly important |
157 |
|
4. |
Not very important |
317 |
|
5. |
Not important at all |
479 |
|
8. |
Don't know |
112 |
|
9. |
No answer |
25 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1112 ;
Variable Format: numeric
Q1k. Important for getting ahead in life - Being born man or woman
How important is being born a man or a woman?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
19 |
|
2. |
Very important |
87 |
|
3. |
Fairly important |
248 |
|
4. |
Not very important |
355 |
|
5. |
Not important at all |
345 |
|
8. |
Don't know |
60 |
|
9. |
No answer |
23 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1114 ;
Variable Format: numeric
Q2a. To get to the top you have to be corrupt
Do you agree or disagree with each of these statements?
To get all the way to the top in Sweden today, you have to be corrupt.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
17 |
|
2. |
Agree |
67 |
|
3. |
Neither agree nor disagree |
172 |
|
4. |
Disagree |
247 |
|
5. |
Strongly disagree |
486 |
|
8. |
Don't know |
127 |
|
9. |
NA |
21 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1116 ;
Variable Format: numeric
Q2b. Only students from the best secondary schools have a good chance to obtain a university education
In Sweden, only students from the best secondary schools have a good chance to obtain a university education.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
22 |
|
2. |
Agree |
99 |
|
3. |
Neither agree nor disagree |
246 |
|
4. |
Disagree |
357 |
|
5. |
Strongly disagree |
312 |
|
8. |
Don't know |
86 |
|
9. |
NA |
15 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1122 ;
Variable Format: numeric
Q2c. Only rich can afford the costs of attending university
In Sweden, only the rich can afford the costs of attending university.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
24 |
|
2. |
Agree |
99 |
|
3. |
Neither agree nor disagree |
255 |
|
4. |
Disagree |
364 |
|
5. |
Strongly disagree |
329 |
|
8. |
Don't know |
53 |
|
9. |
NA |
13 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1124 ;
Variable Format: numeric
Q2d. In Sweden people have the same chances to enter university
In Sweden people have the same chances to enter university, regardless of their gender, ethnecity or social background.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
183 |
|
2. |
Agree |
488 |
|
3. |
Neither agree nor disagree |
218 |
|
4. |
Disagree |
122 |
|
5. |
Strongly disagree |
32 |
|
8. |
Don't know |
88 |
|
9. |
NA |
6 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1131 ;
Variable Format: numeric
What do you think about your salary? Would you say that you earn.....
If you are not working now, please tell about your last job.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Much less than you deserve |
150 |
|
2. |
Less than you deserve |
558 |
|
3. |
What you deserve |
333 |
|
4. |
Higher than you deserve |
23 |
|
5. |
Much more than I deserve |
0 |
|
6. |
Never worked |
42 |
|
8. |
Don't know |
22 |
|
9. |
NA |
9 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1128 ;
Variable Format: numeric
Q4a. Monthly salary for a doctor in general practice
What do you think people in these jobs actually earn? Please write in how much you think they usually earn per month before taxes.
- A doctor in general practice
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
84 |
Range of Valid Data Values: 8000-450000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1053 ; Min. 8000 ; Max. 450000 ; Mean 46969.468 ; StDev 21443.46
Variable Format: numeric
Q4b. Monthly salary for a chairman of a large company
What do you think people in these jobs actually earn? Please write in how much you think they usually earn per month before taxes. - A chairman of a large national company
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
94 |
Range of Valid Data Values: 5000-30000000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1043 ; Min. 5000 ; Max. 30000000 ; Mean 198163.471 ; StDev 959924.504
Variable Format: numeric
Q4c. Monthly salary for a shop assistant
What do you think people in these jobs actually earn? Please write in how much you think they usually earn per month before taxes. - A shop assistant
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
77 |
Range of Valid Data Values: 1500-150000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1060 ; Min. 1500 ; Max. 150000 ; Mean 18678.349 ; StDev 5890.559
Variable Format: numeric
Q4d. Monthly salary for an unskilled worker in a factory
What do you think people in these jobs actually earn? Please write in how much you think they usually earn per month before taxes. - An unskilled worker in a factory
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
77 |
Range of Valid Data Values: 1500-90000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1060 ; Min. 1500 ; Max. 90000 ; Mean 20782.783 ; StDev 4591.587
Variable Format: numeric
Q4e. Monthly salary for a cabinet minister
What do you think people in these jobs actually earn? Please write in how much you think they usually earn per month before taxes. - A cabinet minister in the Swedish government
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
90 |
Range of Valid Data Values: 45-700000000
Range of Invalid Data Values: 999999999
Summary Statistics: Valid 1137 ; Min. 45 ; Max. 700000000
Variable Format: numeric
Q5a. Reasonable salary for a doctor in general practice
How much do you think people in these jobs ought to earn? Please write in how much you think they should earn each month before taxes regardless of what they actually get. - A doctor in general practice
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
114 |
Range of Valid Data Values: 10000-600000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1023 ; Min. 10000 ; Max. 600000 ; Mean 49981.525 ; StDev 30123.818
Variable Format: numeric
Q5b. Reasonable salary for a chairman of a large company
How much do you think people in these jobs ought to earn? Please write in how much you think they should earn each month before taxes regardless of what they actually get. - The chairman of a large national company
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
131 |
Range of Valid Data Values: 1000-2000000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1006 ; Min. 1000 ; Max. 2000000 ; Mean 78661.282 ; StDev 125398.635
Variable Format: numeric
Q5c. Reasonable salary for a shop assistant
How much do you think people in these jobs ought to earn? Please write in how much you think they should earn each month before taxes regardless of what they actually get. - A shop assistant
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
105 |
Range of Valid Data Values: 2500-150000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1032 ; Min. 2500 ; Max. 150000 ; Mean 22559.254 ; StDev 7330.07
Variable Format: numeric
Q5d. Reasonable salary for an unskilled worker in a factory
How much do you think people in these jobs ought to earn? Please write in how much you think they should earn each month before taxes regardless of what they actually get. - An unskilled worker in a factory
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
107 |
Range of Valid Data Values: 1000-250000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1030 ; Min. 1000 ; Max. 250000 ; Mean 22968.845 ; StDev 8647.494
Variable Format: numeric
Q5e. Reasonable salary for a cabinet minister
How much do you think people in these jobs ought to earn? Please write in how much you think they should earn each month before taxes regardless of what they actually get. - A cabinet minister in the Swedish government
Value |
Label |
Frequency |
|
|---|---|---|---|
99999999. |
NA |
119 |
Range of Valid Data Values: 0-500000
Range of Invalid Data Values: 99999999
Summary Statistics: Valid 1018 ; Min. 0 ; Max. 500000 ; Mean 60471.807 ; StDev 38579.01
Variable Format: numeric
Q6a. Difference in income are too high in Sweden
Do you agree or disagree with each of these statements? - Difference in income in Sweden are too high.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
356 |
|
2. |
Agree |
452 |
|
3. |
Neither agree nor disagree |
190 |
|
4. |
Disagree |
83 |
|
5. |
Strongly disagree |
25 |
|
8. |
Don't know |
23 |
|
9. |
NA |
8 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1129 ;
Variable Format: numeric
Q6b. Governments responsibility to reduce income differences
Do you agree or disagree with each of these statements? - It is the responsibility of the government to reduce the differences in income between people with high incomes and those with low incomes.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
226 |
|
2. |
Agree |
399 |
|
3. |
Neither agree nor disagree |
254 |
|
4. |
Disagree |
134 |
|
5. |
Strongly disagree |
65 |
|
8. |
Don't know |
43 |
|
9. |
NA |
16 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1121 ;
Variable Format: numeric
Q6c. Governments responsibiliy to provide a decent standard for unemployed
Do you agree or disagree with each of these statements? - The government should provide a decent standard of living for the unemployed.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
309 |
|
2. |
Agree |
544 |
|
3. |
Neither agree nor disagree |
189 |
|
4. |
Disagree |
41 |
|
5. |
Strongly disagree |
14 |
|
8. |
Don't know |
27 |
|
9. |
NA |
13 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1124 ;
Variable Format: numeric
Q6d. Government should spend less on benefits for the poor
Do you agree or disagree with each of these statements? - The government should spend less on benefits for the poor.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Strongly agree |
45 |
|
2. |
Agree |
62 |
|
3. |
Neither agree nor disagree |
209 |
|
4. |
Disagree |
424 |
|
5. |
Strongly disagree |
328 |
|
8. |
Don't know |
56 |
|
9. |
NA |
13 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1124 ;
Variable Format: numeric
Q7. Taxes for people with high income
Do you think people with high incomes should pay a larger share of their income in taxes than those with low incomes, the same share, or a smaller share?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Much larger share |
215 |
|
2. |
Larger |
582 |
|
3. |
The same share |
288 |
|
4. |
Smaller |
13 |
|
5. |
Much smaller share |
4 |
|
8. |
Don't know |
32 |
|
9. |
NA |
3 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1134 ;
Variable Format: numeric
Q8. Opinion on taxes for people with high income
Generally, how would you describe taxes in Sweden today for those with high incomes? Taxes are...
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Much to high |
50 |
|
2. |
Too high |
182 |
|
3. |
About right |
320 |
|
4. |
Too low |
379 |
|
5. |
Much too low |
95 |
|
8. |
Don't know |
108 |
|
9. |
NA |
3 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1134 ;
Variable Format: numeric
Q9a. Attitude towards buying better health care
Is it just or unjust (right or wrong) that people with higher incomes can buy better health care than people with lower incomes?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very just, definitely right |
52 |
|
2. |
Somewhat just, right |
105 |
|
3. |
Neither just nor unjust, mixed feelings |
190 |
|
4. |
Somewhat unjust, wrong |
309 |
|
5. |
Very unjust, definitely wrong |
467 |
|
8. |
Don't know |
10 |
|
9. |
NA |
4 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1133 ;
Variable Format: numeric
Q9b. Attitude towards buying better education
Is it just or unjust (right or wrong) that people with higher incomes can buy better education for their children than people with lower incomes?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very just, definitely right |
45 |
|
2. |
Somewhat just, right |
98 |
|
3. |
Neither just nor unjust, mixed feelings |
196 |
|
4. |
Somewhat unjust, wrong |
298 |
|
5. |
Very unjust, definitely wrong |
467 |
|
8. |
Don't know |
19 |
|
9. |
NA |
14 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1123 ;
Variable Format: numeric
Q10a. Conflict between poor people and rich people
In all countries there are differences or even conflicts between different social groups. In your opinion, in Sweden, how much conflict is there between poor people and rich people?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very strong conflicts |
65 |
|
2. |
Strong conflicts |
301 |
|
3. |
Not very strong conflicts |
627 |
|
4. |
No conflicts |
38 |
|
8. |
Don't know |
88 |
|
9. |
NA |
18 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1119 ;
Variable Format: numeric
Q10b. Conflict between working class and middle class
In all countries there are differences or even conflicts between different social groups. In your opinion, in Sweden, how much conflict is there between the working class and the middle class?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very strong conflicts |
15 |
|
2. |
Strong conflicts |
121 |
|
3. |
Not very strong conflicts |
768 |
|
4. |
No conflicts |
137 |
|
8. |
Don't know |
77 |
|
9. |
NA |
19 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1118 ;
Variable Format: numeric
Q10c. Conflict between management and workers
In all countries there are differences or even conflicts between different social groups. In your opinion, in Sweden, how much conflict is there between management and workers?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very strong conflicts |
37 |
|
2. |
Strong conflicts |
239 |
|
3. |
Not very strong conflicts |
701 |
|
4. |
No conflicts |
48 |
|
8. |
Don't know |
86 |
|
9. |
NA |
26 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1111 ;
Variable Format: numeric
Q10d. Conflict between people at the top of society and people at the bottom
In all countries there are differences or even conflicts between different social groups. - In your opinion, in Sweden, how much conflict is there between people at the top of society and people at the bottom?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very strong conflicts |
184 |
|
2. |
Strong conflicts |
439 |
|
3. |
Not very strong conflicts |
364 |
|
4. |
No conflicts |
22 |
|
8. |
Don't know |
112 |
|
9. |
NA |
16 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1121 ;
Variable Format: numeric
In our society there are groups which tend to be towards the top and groups which tend to be towards the bottom. Here is a scale that runs from top to bottom. Were would you put yourself on this scale? Please tick one box!
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1 Top |
12 |
|
2. |
2 |
13 |
|
3. |
3 |
57 |
|
4. |
4 |
87 |
|
5. |
5 |
238 |
|
6. |
6 |
322 |
|
7. |
7 |
258 |
|
8. |
8 |
112 |
|
9. |
9 |
11 |
|
10. |
10 Bottom |
15 |
|
99. |
NA |
12 |
Range of Valid Data Values: 1-10
Range of Invalid Data Values: 99
Summary Statistics: Valid 1125 ;
Variable Format: numeric
Q11b. Social position during growth
In our society there are groups which tend to be towards the top and groups which tend to be towards the bottom. Here is a scale that runs from top to bottom. If you think about the family you grew up in, where did they fit in then?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Bottom |
13 |
|
2. |
29 |
||
3. |
90 |
||
4. |
187 |
||
5. |
266 |
||
6. |
238 |
||
7. |
183 |
||
8. |
85 |
||
9. |
19 |
||
10. |
Top |
16 |
|
99. |
NA |
11 |
Range of Valid Data Values: 1-10
Range of Invalid Data Values: 99
Summary Statistics: Valid 1126 ;
Variable Format: numeric
Q12. Social position compared to father
Please think of your present job (or your last one if you don't have one now). If you compare this job with the job your father had when you were 16 years old, would you say that the level or status of your job is (or was)...
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Much higher than your father's |
112 |
|
2. |
Higher |
362 |
|
3. |
About equal |
357 |
|
4. |
Lower |
182 |
|
5. |
Much lower than your father's |
57 |
|
6. |
I never had a job |
20 |
|
8. |
Don't know |
35 |
|
9. |
NA |
12 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1125 ;
Variable Format: numeric
Q13a. Important factor deciding the salary - Responsibility
In deciding how much people ought to be paid, how important should each of these things be? For each question tick the box most in line with your opinion? - How much responsibility goes with the job - how important do you think that ought to be in deciding pay?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
156 |
|
2. |
Very important |
746 |
|
3. |
Fairly important |
209 |
|
4. |
Not very important |
5 |
|
5. |
Not important at all |
3 |
|
8. |
Don't know |
8 |
|
9. |
NA |
10 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1127 ;
Variable Format: numeric
Q13b. Important factor deciding the salary - Years of studying
In deciding how much people ought to be paid, how important should each of these things be? For each question tick the box most in line with your opinion? - The number of years of education and training?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
54 |
|
2. |
Very important |
396 |
|
3. |
Fairly important |
507 |
|
4. |
Not very important |
138 |
|
5. |
Not important at all |
22 |
|
8. |
Don't know |
10 |
|
9. |
NA |
10 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1127 ;
Variable Format: numeric
Q13c. Important factor deciding the salary - What it takes to support a family
In deciding how much people ought to be paid, how important should each of these things be? For each question tick the box most in line with your opinion? - What it takes to support a family?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
44 |
|
2. |
Very important |
220 |
|
3. |
Fairly important |
396 |
|
4. |
Not very important |
254 |
|
5. |
Not important at all |
177 |
|
8. |
Don't know |
31 |
|
9. |
NA |
15 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1122 ;
Variable Format: numeric
Q13d. Important factor deciding the salary - Children to support
In deciding how much people ought to be paid, how important should each of these things be? For each question tick the box most in line with your opinion? - Whether he or she has children to support?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
37 |
|
2. |
Very important |
192 |
|
3. |
Fairly important |
342 |
|
4. |
Not very important |
269 |
|
5. |
Not important at all |
247 |
|
8. |
Don't know |
34 |
|
9. |
NA |
16 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1121 ;
Variable Format: numeric
Q13e. Important factor deciding the salary - How well job is condcted
In deciding how much people ought to be paid, how important should each of these things be? For each question tick the box most in line with your opinion? - How well he or she does the job?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
305 |
|
2. |
Very important |
649 |
|
3. |
Fairly important |
154 |
|
4. |
Not very important |
9 |
|
5. |
Not important at all |
1 |
|
8. |
Don't know |
6 |
|
9. |
NA |
13 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1124 ;
Variable Format: numeric
Q13f. Important factor deciding the salary - How hard you work
In deciding how much people ought to be paid, how important should each of these things be? For each question tick the box most in line with your opinion? - How hard he or she works at the job?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Essential |
174 |
|
2. |
Very important |
585 |
|
3. |
Fairly important |
312 |
|
4. |
Not very important |
34 |
|
5. |
Not important at all |
3 |
|
8. |
Don't know |
16 |
|
9. |
NA |
13 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1124 ;
Variable Format: numeric
Is your pay just? We are not asking about what you do earn, nor what you would like to earn - but what you feel is just given your skills and effort. Is your pay... If not working now, please tell about your last job.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Much less than is just |
188 |
|
2. |
A little bit less than is just |
470 |
|
3. |
About just for me |
386 |
|
4. |
A little more than is just |
34 |
|
5. |
Much more than is just |
3 |
|
6. |
Never had a job |
24 |
|
8. |
Don't know |
26 |
|
9. |
NA |
6 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1131 ;
Variable Format: numeric
The five diagrams above show different types of societies. Please read the description and look at the diagrams and decide which you think best describes Sweden.
What kind of society is Sweden today? - Which diagram comes closest?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Type A - A small elite at the top, very few people in the middle and the great mass of people at the bottom |
77 |
|
2. |
Type B - A society like a pyramid with a small elite at the top, more people in the middle, and most at the bottom |
251 |
|
3. |
Type C - A pyramid except that just a few people are at the very bottom |
321 |
|
4. |
Type D - A society with the most people in the middle |
409 |
|
5. |
Type E - Many people near the top, and only a few near the bottom |
20 |
|
8. |
Don't know |
36 |
|
9. |
NA |
23 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1114 ;
Variable Format: numeric
What do you think Sweden ought to be like? - Which would you prefer?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Type A - A small elite at the top, very few people in the middle and the great mass of people at the bottom |
5 |
|
2. |
Type B - A society like a pyramid with a small elite at the top, more people in the middle, and most at the bottom |
33 |
|
3. |
Type C - A pyramid except that just a few people are at the very bottom |
130 |
|
4. |
Type D - A society with the most people in the middle |
545 |
|
5. |
Type E - Many people near the top, and only a few near the bottom |
340 |
|
8. |
Don't know |
51 |
|
9. |
NA |
33 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1104 ;
Variable Format: numeric
Do you generally believe one can trust most people or should one always be on gard.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
One can trust most people |
575 |
|
2. |
Ons should always be on gard |
501 |
|
8. |
Don't know |
45 |
|
9. |
NA |
16 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1121 ;
Variable Format: numeric
How often do you read a newspaper?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Every day |
795 |
|
2. |
A few times a week |
211 |
|
3. |
Once a week |
50 |
|
4. |
Less than once a week |
54 |
|
5. |
Never |
12 |
|
9. |
NA |
15 |
Range of Valid Data Values: 1-5
Range of Invalid Data Values: 9
Summary Statistics: Valid 1122 ;
Variable Format: numeric
Q18. Television viewing in hours per day
How many hours per day in average do you watch on TV?
Value |
Label |
Frequency |
|
|---|---|---|---|
0. |
0 hours |
34 |
|
1. |
212 |
||
2. |
365 |
||
3. |
279 |
||
4. |
136 |
||
5. |
45 |
||
6. |
16 |
||
7. |
6 |
||
8. |
7 |
||
10. |
8 |
||
12. |
1 |
||
14. |
1 |
||
18. |
2 |
||
20. |
20 hours |
4 |
|
99. |
NA |
21 |
Range of Valid Data Values: 0-20
Range of Invalid Data Values: 99
Summary Statistics: Valid 1116 ;
Variable Format: numeric
Q19. Area near the home you are afraid to walk at night
Are there any areas near your home - ie. within 1,5 km - where you would be afraid to walk alone at night?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
415 |
|
2. |
No |
642 |
|
8. |
Don't know |
71 |
|
9. |
NA |
9 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1128 ;
Variable Format: numeric
Q20. Money on improving the living conditions of non-western immigrants
Now some questions about imigrants (both first and second generation) from non-western countries (ie. countries outside Europe, North America, Austalia and New Zeeland)
In your opinion, do we spend to much money, to little money, or approximately enough money on improving the living conditions of immigrants from non-western countries?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Too litle |
138 |
|
2. |
About right |
374 |
|
3. |
Too much |
352 |
|
8. |
Don't know |
255 |
|
9. |
NA |
18 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1119 ;
Variable Format: numeric
Q21. Proportion of immigrants from non-western countries in your own neighborhood
If you could make a rough estimate, approimately what percentage of those living in your neighborhood are immigrants from non-western countries? Enter a percentage (0-100%)
Value |
Label |
Frequency |
|
|---|---|---|---|
0. |
0 % |
274 |
|
1. |
1 |
99 |
|
2. |
2 |
109 |
|
3. |
3 |
31 |
|
4. |
4 |
13 |
|
5. |
5 |
153 |
|
7. |
7 |
6 |
|
8. |
8 |
3 |
|
10. |
10 |
152 |
|
11. |
11 |
1 |
|
12. |
12 |
4 |
|
13. |
13 |
1 |
|
15. |
15 |
25 |
|
17. |
17 |
2 |
|
18. |
18 |
1 |
|
20. |
20 |
64 |
|
22. |
22 |
1 |
|
25. |
25 |
17 |
|
30. |
30 |
24 |
|
35. |
35 |
8 |
|
37. |
37 |
1 |
|
40. |
40 |
15 |
|
45. |
45 |
3 |
|
47. |
47 |
1 |
|
50. |
50 |
24 |
|
55. |
55 |
1 |
|
60. |
60 |
12 |
|
65. |
65 |
2 |
|
70. |
70 |
10 |
|
75. |
75 |
8 |
|
80. |
80 |
3 |
|
85. |
85 |
2 |
|
90. |
90 |
2 |
|
95. |
95 |
1 |
|
96. |
96 |
1 |
|
97. |
97 |
1 |
|
99. |
99 |
2 |
|
100. |
100 % |
1 |
|
999. |
NA |
59 |
Range of Valid Data Values: 0-100
Range of Invalid Data Values: 999
Summary Statistics: Valid 1078 ;
Variable Format: numeric
Q22. Attitude to living in the area where half the residents are immigrants from non-western countries
To what extent would you be for or against living in an area where half the residents were immigrants from non-western countries?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Entirely for |
43 |
|
2. |
For |
74 |
|
3. |
Neither against or for |
460 |
|
4. |
Against |
322 |
|
5. |
Entirely against |
150 |
|
8. |
Don't know |
76 |
|
9. |
NA |
12 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1125 ;
Variable Format: numeric
Q23. Degree of affinity with immigrants from non-western countries
What degree of affinity do you feel overall with immigrants from non-western countries?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
No affinity at all |
182 |
|
2. |
132 |
||
3. |
236 |
||
4. |
142 |
||
5. |
236 |
||
6. |
65 |
||
7. |
80 |
||
8. |
12 |
||
9. |
Very high affinity |
26 |
|
99. |
NA |
26 |
Range of Valid Data Values: 1-9
Range of Invalid Data Values: 99
Summary Statistics: Valid 1111 ;
Variable Format: numeric
Q24. Immigrants from non-western countries: Hardworking or lazy
Now, two questions characterizing immigrants from non-western countries.
Select the number between one and seven, that you think best fits in to the following description. A one means that you believe that almost all immigrants are "hardworking". A seven means that you believe that almost all immigrants are lazy immigrants. A four means that you believe that immigrants are not particularly industrious/hard working or particularly lazy. Enter the number that best matches your opinion.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1 Industrious/Hard working |
38 |
|
2. |
2 |
120 |
|
3. |
3 |
288 |
|
4. |
4 |
454 |
|
5. |
5 |
145 |
|
6. |
6 |
61 |
|
7. |
7 Lazy |
17 |
|
9. |
NA |
14 |
Range of Valid Data Values: 1-7
Range of Invalid Data Values: 9
Summary Statistics: Valid 1123 ;
Variable Format: numeric
Q25. Immigrants from non-western countries: Self-sufficient or lives on grants
In your opinion, do immigrants from non-western countries prefer to be self-sufficient or to live on grants. Again, enter the number that best matches your opinion.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Self-sufficient |
167 |
|
2. |
172 |
||
3. |
175 |
||
4. |
272 |
||
5. |
162 |
||
6. |
103 |
||
7. |
Lives on grants |
68 |
|
9. |
NA |
18 |
Range of Valid Data Values: 1-7
Range of Invalid Data Values: 9
Summary Statistics: Valid 1119 ;
Variable Format: numeric
Q26a. Conflict between unemployed and those who have jobs
In all countries there are differences or even conflicts between different social groups. In your opinion, in Sweden, how much conflict is there between unemployed and those who have jobs?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very strong conflicts |
19 |
|
2. |
Strong conflicts |
160 |
|
3. |
Not very strong conflicts |
683 |
|
4. |
No conflicts |
146 |
|
8. |
Don't know |
118 |
|
9. |
NA |
11 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1126 ;
Variable Format: numeric
Q26b. Conflict between Swedes and immigrants from non-western countries
In all countries there are differences or even conflicts between different social groups. In your opinion, in Sweden, how much conflict is there between Swedes and immigrants from non-western countries?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Very strong conflicts |
63 |
|
2. |
Strong conflicts |
482 |
|
3. |
Not very strong conflicts |
436 |
|
4. |
No conflicts |
18 |
|
8. |
Don't know |
116 |
|
9. |
NA |
22 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1115 ;
Variable Format: numeric
Q27. Father - Socio-economic classification
Now some questions about your parents employment situation in your youth (when you were about 16 years old).
What occupation did your father have when you were 16 years old?
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Unskilled employees in goods production |
134 |
|
12. |
Unskilled employees in service production |
92 |
|
21. |
Skilled employees in goods production |
174 |
|
22. |
Skilled employees in service production |
19 |
|
36. |
Assistant non-manual employees |
76 |
|
46. |
Intermediate non-manual employees |
147 |
|
56. |
Professionals and other higher non-manual employees |
76 |
|
57. |
Upper-level executives |
35 |
|
79. |
Entrepreneurs |
204 |
|
89. |
Farmers |
84 |
|
99. |
NA |
96 |
Range of Valid Data Values: 11-89
Range of Invalid Data Values: 99
Summary Statistics: Valid 1041 ;
Variable Format: numeric
Q28_1. Father: Occupation: SSYK code pos 1
What kind of production/operation were in the place your father worked? Father, Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Legislators, senior officials and managers |
124 |
|
2. |
Professional |
116 |
|
3. |
Technicians and associate professionals |
116 |
|
4. |
Clerks |
37 |
|
5. |
Service workers and shop sales workers |
66 |
|
6. |
Skilled agricultural and fishery workers |
121 |
|
7. |
Craft and related trades workers |
219 |
|
8. |
Plant and machine operators and assemblers |
196 |
|
9. |
Elementary occupations |
15 |
|
11. |
Armed forces |
13 |
|
99. |
INAP/NA |
114 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 99
Summary Statistics: Valid 1023 ;
Variable Format: numeric
Q28_2. Father: Occupation: SSYK code pos 1-2
What kind of production/operation were in the place your father worked? Father: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-2
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Armed forces |
13 |
|
11. |
Legislators and senior officials |
3 |
|
12. |
Corporate managers |
23 |
|
13. |
Managers of small enterprises |
98 |
|
21. |
Physical, mathematical and engineering science professionals |
30 |
|
22. |
Life science and health professionals |
12 |
|
23. |
Teaching professionals |
29 |
|
24. |
Other professionals |
45 |
|
31. |
Physical and engineering science associate professionals |
59 |
|
32. |
Life science and health associate professionals |
8 |
|
33. |
Teaching associate professionals |
1 |
|
34. |
Other associate professionals |
48 |
|
41. |
Office clerks |
31 |
|
42. |
Customer services clerks |
6 |
|
51. |
Personal and protective service workers |
22 |
|
52. |
Models, salespersons and demonstrators |
44 |
|
61. |
Skilled agricultural and fishery workers |
121 |
|
71. |
Extraction and building trades workers |
123 |
|
72. |
Metal, machinery and related trades workers |
67 |
|
73. |
Precision, handicraft, craft printing and related trades workers |
9 |
|
74. |
Other craft and related trades workers |
20 |
|
81. |
Stationary-plant and related operators |
37 |
|
82. |
Machine operators and assemblers |
87 |
|
83. |
Drivers and mobile-plant operators |
72 |
|
91. |
Sales and services elementary occupations |
12 |
|
93. |
Labourers in mining, construction, manufacturing and transport |
3 |
|
99. |
INAP/NA |
114 |
Range of Valid Data Values: 1-93
Range of Invalid Data Values: 99
Summary Statistics: Valid 1023 ; Min. 1 ; Max. 93
Variable Format: numeric
Q28_3. Father: Occupation: SSYK code pos 1-3
What kind of production/operation were in the place your father worked? Father: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-3
Vad slags produktion/verksamhet fanns på det ställe han arbetade? - Faderns yrke: SSYK-kod pos 1-3
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Armed forces |
13 |
|
111. |
Legislators and senior governmnet officials |
3 |
|
121. |
Directors and chief executives |
5 |
|
122. |
Production and operations managers |
11 |
|
123. |
Other specialist managers |
7 |
|
131. |
Managers of small enterprises |
98 |
|
211. |
Phycisists, chemists and related professionals |
1 |
|
213. |
Computing professionals |
8 |
|
214. |
Architects, engineers and related professionals |
21 |
|
221. |
Life science professionals |
2 |
|
222. |
Health professionals (except nursing) |
9 |
|
223. |
Nursing and midwifery professionals |
1 |
|
231. |
College, university and higher education teaching professionals |
6 |
|
232. |
Secondary education teaching professionals |
6 |
|
233. |
Primary education teaching professionals |
17 |
|
241. |
Business professionals |
20 |
|
242. |
Legal professionals |
4 |
|
243. |
Archivists, librarians and related information professionals |
1 |
|
244. |
Social science and linguistics professionals (except social work professionals) |
1 |
|
245. |
Writers and creative or performing artists |
14 |
|
246. |
Religious professionals |
1 |
|
248. |
Administrative professionals of special-interest organisations |
1 |
|
249. |
Psychologists, social work and related professionals |
3 |
|
311. |
Physical and engineering science technicians |
44 |
|
312. |
Computer associate professionals |
2 |
|
313. |
Optical and electronic equipment operators |
3 |
|
314. |
Ship and aircraft controllers and technicians |
9 |
|
315. |
Safety and quality inspectors |
1 |
|
321. |
Agronomy and forestry technicians |
5 |
|
322. |
Health associate professionals (except nursing) |
3 |
|
332. |
Other teaching associate professionals |
1 |
|
341. |
Finance and sales associate professionals |
22 |
|
342. |
Business services agents and trade brokers |
4 |
|
343. |
Administrative associate professionals |
6 |
|
344. |
Customs, tax and related government associate professionals |
4 |
|
345. |
Police officers and detectives |
8 |
|
347. |
Artistic, entertainment and sports associate professionals |
3 |
|
348. |
Religious associate professionals |
1 |
|
411. |
Office secretaries and data entry operators |
1 |
|
413. |
Stores and transport clerks |
14 |
|
414. |
Library and filing clerks |
1 |
|
415. |
Mail carriers and sporting clerks |
5 |
|
419. |
Other office clerks |
10 |
|
421. |
Cashiers, tellers and related clerks |
4 |
|
422. |
Client information clerks |
2 |
|
511. |
Travel attendants and related workers |
4 |
|
513. |
Personal care and related workers |
6 |
|
514. |
Other personal services workers |
9 |
|
515. |
Protective services workers |
3 |
|
522. |
Shop and stall salespersons and demonstrators |
44 |
|
611. |
Market gardeners and crop growers |
8 |
|
612. |
Animal producers and related workers |
19 |
|
613. |
Crop and animal producers |
70 |
|
614. |
Forestry and related workers |
23 |
|
615. |
Fishery workers, hunters and trappers |
1 |
|
711. |
Miners, shot firers, stonecutters and carvers |
12 |
|
712. |
Building frame and related trades workers |
70 |
|
713. |
Building finishers and related trades workers |
30 |
|
714. |
Painters, building structure cleaners and related trades workers |
11 |
|
721. |
Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trade workers |
23 |
|
722. |
Blacksmitshs, tool-makers and related trades workers |
6 |
|
723. |
Machinery mechanics and fitters |
26 |
|
724. |
Electrical and electronic equipment mechanics and fitters |
12 |
|
731. |
Precision workers in metal and related materials |
7 |
|
732. |
Potters, glass-makers and related trades workers |
2 |
|
741. |
Food processing and related trades workers |
9 |
|
742. |
Wood treaters, cabinet-makers and related trades workers |
4 |
|
743. |
Garment and related trade workers |
6 |
|
744. |
Pelt, leather and shoemaking trades workers |
1 |
|
811. |
Mineral-processing-plant operators |
1 |
|
812. |
Metal-processing-plant operators |
3 |
|
813. |
Glas and chemical-processing-plant operators |
4 |
|
814. |
Wood-processing- and papermaking-plant operators |
24 |
|
815. |
Chemical-processing-plant operators |
1 |
|
816. |
Power-production and related plant operators |
4 |
|
821. |
Metal- and mineral-products machine operators |
42 |
|
822. |
Chemical-products machine operators |
5 |
|
823. |
Rubber- and plaxtic-products machine operators |
1 |
|
824. |
Wood-products machine operators |
2 |
|
825. |
Printing-, binding- and paper-products machine operators |
5 |
|
826. |
Textile-, fur- and leather-products machine operators |
4 |
|
827. |
Food and related products machine operators |
6 |
|
828. |
Assemblers |
19 |
|
829. |
Other machine operators and assemblers |
3 |
|
831. |
Locomotive-engine drivers and related workers |
9 |
|
832. |
Motor-vehicle drivers |
49 |
|
833. |
Agricultural and other mobile-plant operators |
12 |
|
834. |
Ship's deck crew and related workers |
2 |
|
911. |
Street vendors and market salespersons |
1 |
|
912. |
Helpers and cleaners |
1 |
|
913. |
Helpers in reataurant |
2 |
|
914. |
Doorkeepers, newspaper and package deliverers and related workers |
4 |
|
915. |
Garbage collectors and related labourers |
3 |
|
919. |
Other sales and services elementary occupations |
1 |
|
933. |
Transport labourers and freight handlers |
3 |
|
999. |
INAP/NA |
114 |
Range of Valid Data Values: 11-933
Range of Invalid Data Values: 999
Summary Statistics: Valid 1023 ; Min. 11 ; Max. 933
Variable Format: numeric
Q28_4. Father: Occupation: SSYK code pos 1-4
What kind of production/operation were in the place your father worked? Father: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-4
Vad slags produktion/verksamhet fanns på det ställe han arbetade? - Faderns yrke: SSYK-kod pos 1-4
Value |
Label |
Frequency |
|
|---|---|---|---|
110. |
Armed forces |
13 |
|
1110. |
Legislators and senior governmnet officials |
3 |
|
1210. |
Directors and chief executives |
5 |
|
1222. |
Production and operations managers in manufacturing |
5 |
|
1224. |
Production and operations managers in wholesale and retail trade, hotels and restaurants, transport and communications |
3 |
|
1226. |
Production and operations managers in public administration |
2 |
|
1227. |
Production and operations managers in education |
1 |
|
1231. |
Finance and administration managers |
2 |
|
1232. |
Personell and industrial relations managers |
1 |
|
1233. |
Sales and marketing managers |
3 |
|
1239. |
Specialist managers not elsewhere classified |
1 |
|
1310. |
Managers of small enterprises |
1 |
|
1311. |
Managers of small enterprises in agriculture, hunting, forestry and fishing |
2 |
|
1312. |
Managers of small enterprises in manufacturing |
12 |
|
1313. |
Managers of small enterprises in construction |
14 |
|
1314. |
Managers of small enterprises in wholesale and retail trade, hotels and restaurants, transport and communications |
33 |
|
1315. |
Managers of small enterprises in business services enterprises |
5 |
|
1317. |
Managers of small enterprises in education |
2 |
|
1318. |
Managers of small enterprises in health and social work |
1 |
|
1319. |
Managers of small enterprises not elsewhere classified |
28 |
|
2111. |
Physicists and astronomers |
1 |
|
2131. |
Computer system designers, analysts and programmers |
8 |
|
2141. |
Architects, town and traffic planners |
4 |
|
2142. |
Civil engineers |
3 |
|
2143. |
Electrical engineers |
2 |
|
2144. |
Electronics and telecommunications engineers |
1 |
|
2145. |
Mechanical engineers |
6 |
|
2146. |
Chemical engineers |
0 |
|
2147. |
Mining engineers, metallurgists and related professionals |
3 |
|
2148. |
Cartographers and surveyors |
1 |
|
2149. |
Engineers not elsewhere classified |
1 |
|
2212. |
Pharmacologists and related professionals |
1 |
|
2213. |
Agronomics and horticulturists |
1 |
|
2221. |
Medical doctors |
6 |
|
2222. |
Dentists |
3 |
|
2233. |
Emergency room nurses |
1 |
|
2310. |
College university and higher education teaching professionals |
6 |
|
2321. |
Teaching professionals, academic subjects |
4 |
|
2323. |
Teaching professionals, artistic and practical subjects |
2 |
|
2330. |
Primary education teaching professionals |
17 |
|
2411. |
Accountants |
11 |
|
2412. |
Personnel and careers professionals |
2 |
|
2414. |
Organisational analysts |
3 |
|
2419. |
Business professionals not elsewhere classified |
4 |
|
2421. |
Lawyers |
3 |
|
2422. |
Judges |
1 |
|
2431. |
Archivists and curators |
1 |
|
2442. |
Sociologists, archaeologists and related professionals |
1 |
|
2451. |
Authors, journalists and related professionals |
12 |
|
2452. |
Sculptors, painters and related artists |
1 |
|
2453. |
Composers, musicians and singers |
1 |
|
2460. |
Religious professionals |
1 |
|
2480. |
Administrative professional of special-interest organisations |
1 |
|
2491. |
Psychologists and related professionals |
1 |
|
2492. |
Social work professionals |
2 |
|
3110. |
Physical and engineering science technicians |
1 |
|
3112. |
Civil engineering technicians |
16 |
|
3113. |
Electrical engineering technicians |
4 |
|
3114. |
Electronics and telecommunications engineering technicians |
5 |
|
3115. |
Mechanical engineering technicians |
10 |
|
3117. |
Mining and metallurgical technicians |
1 |
|
3118. |
Draughtspersons |
1 |
|
3119. |
Physical and engineering science technicians not elsewhere classified |
6 |
|
3121. |
Computer assistants |
2 |
|
3134. |
Medical equipment operators and technicians |
3 |
|
3141. |
Ships' engineers |
2 |
|
3142. |
Ships' deck officers and pilots |
2 |
|
3143. |
Aircraft pilots and related associate professionals |
3 |
|
3144. |
Air traffic controllers |
1 |
|
3145. |
Air traffic safety technicians |
1 |
|
3152. |
Safety, health and quality inspectors |
1 |
|
3211. |
Agronomy and horiticultural technicians |
2 |
|
3212. |
Foresty technicians |
3 |
|
3222. |
Hygienists, health and enviromental officers |
2 |
|
3226. |
Physiotherapists and related associate professionals |
1 |
|
3320. |
Other teaching associate professionals |
1 |
|
3411. |
Securities and finance dealers and brokers |
1 |
|
3412. |
Insurance representatives |
3 |
|
3413. |
Estate agents |
2 |
|
3414. |
Travel consultants and organisers |
1 |
|
3415. |
Technical and commercial sales representatives |
4 |
|
3416. |
Buyers |
1 |
|
3417. |
Appraisers, valuers and auctioneers |
1 |
|
3418. |
Banking associate professionals |
8 |
|
3419. |
Finance and sales associate professionals not elsewhere classified |
1 |
|
3421. |
Trade brokers |
1 |
|
3422. |
Clearing and forwarding agents |
1 |
|
3423. |
Employment agents and labour contractors |
2 |
|
3431. |
Administrative secretaries and related associate professionals |
1 |
|
3433. |
Bookkeepers |
5 |
|
3441. |
Customs and border inspectors |
2 |
|
3443. |
Government social benefits officials |
2 |
|
3450. |
Police officers and detectives |
8 |
|
3471. |
Decorators and commercial designers |
2 |
|
3475. |
Athletes, sportspersons and related associate professionals |
1 |
|
3480. |
Religious associate professionals |
1 |
|
4112. |
Office secretaries |
1 |
|
4131. |
Stock clerks and storekeepers |
10 |
|
4132. |
Transport clerks |
4 |
|
4140. |
Library and filing clerks |
1 |
|
4150. |
Mail carriers and sorting clerks |
5 |
|
4190. |
Other office clerks |
10 |
|
4212. |
Tellers and other counter clerks |
3 |
|
4213. |
Croupiers and related clerks |
1 |
|
4223. |
Telephone switchboard operators |
1 |
|
4224. |
Transport informant clerks |
1 |
|
5111. |
Travel attendants and travel stewards |
1 |
|
5112. |
Transport conductors |
3 |
|
5132. |
Assistant nurses and hospital ward assistants |
2 |
|
5133. |
Home-based personal care and related workers |
2 |
|
5134. |
Attendants, psychiatric care |
2 |
|
5141. |
Hairdressers, barbers, beauticians and related workers |
9 |
|
5151. |
Fire-fighters |
2 |
|
5153. |
Prison guards |
1 |
|
5221. |
Shop salespersons, food stores |
11 |
|
5222. |
Shop salespersons, non-food stores |
27 |
|
5225. |
Salesperson, petrol station |
2 |
|
5226. |
Salespersons, cars, boats and caravans |
4 |
|
6111. |
Field crop and vegetable growers |
5 |
|
6112. |
Horticultural and nursery growers |
3 |
|
6121. |
Dairy and livestock producers |
17 |
|
6129. |
Animal producers and related workers not elsewhere classified |
2 |
|
6130. |
Crop and animal producers |
70 |
|
6140. |
Forestry and related workers |
23 |
|
6152. |
Fishery workers |
1 |
|
7111. |
Miners, shot firers, stonecutters and carvers |
12 |
|
7121. |
Bricklayers, stonemasons and tile setters |
7 |
|
7123. |
Carpenters and joiners |
31 |
|
7124. |
Rail and road construction workers |
14 |
|
7129. |
Building frame and related trades workers not elsewhere classified |
18 |
|
7131. |
Roofers |
1 |
|
7132. |
Floor layers |
2 |
|
7134. |
Glaziers |
1 |
|
7135. |
Plumbers |
10 |
|
7136. |
Building and related electricians |
12 |
|
7137. |
Building caretakers |
4 |
|
7141. |
Painters and related workers |
8 |
|
7143. |
Building structure cleaners |
3 |
|
7211. |
Metal moulders |
1 |
|
7212. |
Welders and flame cutters |
7 |
|
7213. |
Sheet-metal workers |
8 |
|
7214. |
Structural-metal prepares and erectors |
7 |
|
7221. |
Blacksmiths, hammer-smiths and forging-press workers |
4 |
|
7222. |
Tool-makers and related workers |
1 |
|
7224. |
Metal wheel-grinders, polishers and tool sharpeners |
1 |
|
7231. |
Motor vehicle mechanics and fitters |
16 |
|
7233. |
Agricultural- or industrial-machinery mechanics and fitters |
10 |
|
7241. |
Electrical mechanics fitters and servicers |
2 |
|
7242. |
Electronics mechanics fitters and servicers |
6 |
|
7243. |
Electrical line installers, repairers and cable jointers |
4 |
|
7311. |
Precision-instrument makers and repairers |
5 |
|
7313. |
Jewellery and precious-metal workers |
2 |
|
7321. |
Abrasive wheel formers, potters and related workers |
2 |
|
7411. |
Butchers, fishmongers and related food preparers |
1 |
|
7412. |
Bakers, pastry-cooks and confectionery makers |
8 |
|
7421. |
Cabinet-makers and related workers |
4 |
|
7430. |
Garment and related trades workers |
1 |
|
7431. |
Tailors, dressmakers and hatter |
4 |
|
7435. |
Upholsterers and related workers |
1 |
|
7442. |
Shoe-makers and related workers |
1 |
|
8112. |
Well drillers and borers and related workers |
1 |
|
8121. |
Ore and metal furnace operators |
1 |
|
8125. |
Casters and coremakers |
2 |
|
8130. |
Glass, ceramics and related plant operators |
4 |
|
8141. |
Wood-processing-plant operators |
12 |
|
8142. |
Veneer sheet and fiberboard plant operators |
1 |
|
8144. |
Papermaking-plant operators |
11 |
|
8150. |
Chemical-processing-plant operators |
1 |
|
8160. |
Power-production and related plant operators |
4 |
|
8211. |
Machine-tool operators |
39 |
|
8212. |
Cement and other mineral products machine opeartors |
3 |
|
8221. |
Pharmaceutical- and toiletry-products machine operators |
1 |
|
8222. |
Ammunition- and eplosive-products machine operators |
1 |
|
8223. |
Metal finishing-, planting- and coating-machine operators |
2 |
|
8224. |
Photographic-products machine operators |
1 |
|
8232. |
Plastic-products machine operators |
1 |
|
8240. |
Wood-products machine operators |
2 |
|
8251. |
Printing-machine opeartors |
4 |
|
8253. |
Paper-products machine opeartors |
1 |
|
8263. |
Sewing-machine opeartors |
2 |
|
8269. |
Tetile-, fur- and leather-products machine operators not elsewhere classified |
2 |
|
8271. |
Meat- and fish-processing-machine operators |
3 |
|
8273. |
Grain- and spice-milling-machine operators |
1 |
|
8276. |
Sugar production machine operators |
1 |
|
8279. |
Tobacco production machine operators |
1 |
|
8281. |
Mechanical-machinery assemblers |
8 |
|
8282. |
Electrical- and electronic-equipment assemblers |
5 |
|
8283. |
Metal-, rubber- and plastic-products assembler |
4 |
|
8284. |
Wood and related products assemblers |
2 |
|
8290. |
Other machine operators and assemblers |
3 |
|
8311. |
Locomotive-engine drivers |
7 |
|
8312. |
Railway brakers, signallers and shunters |
2 |
|
8321. |
Car, taxi and van drivers |
5 |
|
8322. |
Bus and tram drivers |
10 |
|
8323. |
Heavy truck and lorry drivers |
34 |
|
8330. |
Agricultural and other mobile-plant operators |
1 |
|
8331. |
Motorised farm and forestry plant operators |
3 |
|
8332. |
Earth-moving- and related plant operators |
3 |
|
8333. |
Crane, hoist and related plant operators |
1 |
|
8334. |
Lifting-truck operators |
4 |
|
8340. |
Ships' deck crews and related workers |
2 |
|
9110. |
Street vedors and market salespersons |
1 |
|
9122. |
Helpers and cleaners in offices, hotels and other establishments |
1 |
|
9130. |
Helpers in restaurants |
2 |
|
9142. |
Doorkeepers and related workers |
4 |
|
9150. |
Garbage collectors and related labourers |
3 |
|
9190. |
Other sales and sevices elementary occupations |
1 |
|
9330. |
Transport labourers and freight handlers |
3 |
|
9999. |
INAP/NA |
114 |
Range of Valid Data Values: 110-9999
Range of Invalid Data Values: 999
Summary Statistics: Valid 1137 ;
Variable Format: numeric
Q29. Father: Self-employed or employee
Were your father an employee or self-employed?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Self-employed |
273 |
|
2. |
Emplayee |
782 |
|
3. |
Don't know |
33 |
|
9. |
INAP/NA |
49 |
Range of Valid Data Values: 1-3
Range of Invalid Data Values: 9
Summary Statistics: Valid 1088 ;
Variable Format: numeric
Q30. Father: Private or public sector
Do your father mainly work in the private or public sector?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Public sector |
204 |
|
2. |
Corporation owned by state |
147 |
|
3. |
Private sector |
640 |
|
8. |
Don't know |
87 |
|
9. |
INAP/NA |
59 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1078 ;
Variable Format: numeric
Q31. Mother: Gainfully employed
When you were 16 years old, did your mother work outside the household? If your mother did not work when you were 16 years old, did your mother work before? If she worked before, when did she stop working? (Please tick one box)
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes, my mother did have a job when I was 16 years |
741 |
|
2. |
No, my mother never had a job outside the household |
159 |
|
3. |
No, my mother stopped working before she got married |
27 |
|
4. |
No, my mother stopped working after whe got married, but before her first child was born |
45 |
|
5. |
No, my mother stopped working after her first child was born |
75 |
|
8. |
Don't know |
66 |
|
9. |
NA |
24 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1113 ;
Variable Format: numeric
Q32. Mother - Socio-economic classification
Now some questions about your parents employment situation in your youth (when you were about 16 years old).
What occupation did your mother have when you were 16 years old?
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Unskilled employees in goods production |
73 |
|
12. |
Unskilled employees in service production |
278 |
|
21. |
Skilled employees in goods production |
16 |
|
22. |
Skilled employees in service production |
75 |
|
36. |
Assistant non-manual employees |
120 |
|
46. |
Intermediate non-manual employees |
151 |
|
56. |
Professionals and other higher non-manual employees |
40 |
|
57. |
Upper-level executives |
4 |
|
79. |
Entrepreneurs |
67 |
|
89. |
Farmers |
27 |
|
99. |
NA |
286 |
Range of Valid Data Values: 11-89
Range of Invalid Data Values: 99
Summary Statistics: Valid 851 ;
Variable Format: numeric
Q33_1. Mother: Occupation: SSYK code pos 1
What kind of production/operation were in the place your mother worked? Mother: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Managers and senior officials |
25 |
|
2. |
Professional |
96 |
|
3. |
Technicians and associate professionals |
106 |
|
4. |
Office- and customer service work |
127 |
|
5. |
Service workers and shop sales workers |
264 |
|
6. |
Skilled agricultural and fishery workers |
43 |
|
7. |
Craft and related trades workers |
12 |
|
8. |
Plant and machine operators and assemblers |
73 |
|
9. |
Elementary occupations |
96 |
|
99. |
INAP/NA |
295 |
Range of Valid Data Values: 1-9
Range of Invalid Data Values: 99
Summary Statistics: Valid 842 ;
Variable Format: numeric
Q33_2. Mother: Occupation: SSYK code pos 1-2
What kind of production/operation were in the place your mother worked? Mother: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-2
Value |
Label |
Frequency |
|
|---|---|---|---|
12. |
Corporate managers |
6 |
|
13. |
Managers of small enterprises |
19 |
|
21. |
Physical, mathematical and engineering science professionals |
5 |
|
22. |
Life science and health professionals |
19 |
|
23. |
Teaching professionals |
41 |
|
24. |
Other professionals |
31 |
|
31. |
Physical and engineering science associate professionals |
7 |
|
32. |
Life science and health associate professionals |
45 |
|
33. |
Teaching associate professionals |
25 |
|
34. |
Other associate professionals |
29 |
|
41. |
Office clerks |
99 |
|
42. |
Customer services clerks |
28 |
|
51. |
Personal and protective service workers |
192 |
|
52. |
Models, salespersons and demonstrators |
72 |
|
61. |
Skilled agricultural and fishery workers |
43 |
|
71. |
Extraction and building trades workers |
1 |
|
72. |
Metal, machinery and related trades workers |
2 |
|
74. |
Other craft and related trades workers |
9 |
|
81. |
Stationary-plant and related operators |
8 |
|
82. |
Machine operators and assemblers |
62 |
|
83. |
Drivers and mobile-plant operators |
3 |
|
91. |
Sales and services elementary occupations |
88 |
|
92. |
Agricultural, fishery and related labourers |
4 |
|
93. |
Labourers in mining, construction, manufacturing and transport |
4 |
|
99. |
INAP/NA |
295 |
Range of Valid Data Values: 12-93
Range of Invalid Data Values: 99
Summary Statistics: Valid 842 ;
Variable Format: numeric
Q33_3. Mother: Occupation: SSYK code pos 1-3
What kind of production/operation were in the place your mother worked? Mother: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-3
Value |
Label |
Frequency |
|
|---|---|---|---|
121. |
Directors and chief executives |
1 |
|
122. |
Production and operations managers |
4 |
|
123. |
Other specialist managers |
1 |
|
131. |
Managers of small enterprises |
19 |
|
211. |
Phycisists, chemists and related professionals |
1 |
|
212. |
Mathematicians and statisticians |
1 |
|
213. |
Computing professionals |
2 |
|
214. |
Architects, engineers and related professionals |
1 |
|
222. |
Health professionals (except nursing) |
9 |
|
223. |
Nursing and midwifery professionals |
10 |
|
231. |
College, university and higher education teaching professionals |
1 |
|
232. |
Secondary education teaching professionals |
6 |
|
233. |
Primary education teaching professionals |
31 |
|
234. |
Special education teaching professionals |
3 |
|
241. |
Business professionals |
6 |
|
242. |
Legal professionals |
2 |
|
243. |
Archivists, librarians and related information professionals |
2 |
|
245. |
Writers and creative or performing artists |
5 |
|
247. |
Public service administrative professionals |
5 |
|
248. |
Administrative professionals of special-interest organisations |
1 |
|
249. |
Psychologists, social work and related professionals |
10 |
|
311. |
Physical and engineering science technicians |
4 |
|
313. |
Optical and electronic equipment operators |
3 |
|
321. |
Agronomy and forestry technicians |
1 |
|
322. |
Health associate professionals (except nursing) |
11 |
|
323. |
Nursing associate professionals |
30 |
|
324. |
Life science technicians |
3 |
|
331. |
Pre-primary education teaching associate professionals |
24 |
|
332. |
Other teaching associate professionals |
1 |
|
341. |
Finance and sales associate professionals |
9 |
|
343. |
Administrative associate professionals |
12 |
|
344. |
Customs, tax and related government associate professionals |
3 |
|
346. |
Social work associate professionals |
2 |
|
347. |
Artistic, entertainment and sports associate professionals |
3 |
|
411. |
Office secretaries and data entry operators |
31 |
|
412. |
Numerical clerks |
10 |
|
413. |
Stores and transport clerks |
5 |
|
415. |
Mail carriers and sporting clerks |
6 |
|
419. |
Other office clerks |
47 |
|
421. |
Cashiers, tellers and related clerks |
20 |
|
422. |
Client information clerks |
8 |
|
511. |
Travel attendants and related workers |
1 |
|
512. |
Housekeeping and restaurant service workers |
23 |
|
513. |
Personal care and related workers |
154 |
|
514. |
Other personal services workers |
12 |
|
515. |
Protective services workers |
2 |
|
522. |
Shop and stall salespersons and demonstrators |
72 |
|
611. |
Market gardeners and crop growers |
7 |
|
612. |
Animal producers and related workers |
10 |
|
613. |
Crop and animal producers |
26 |
|
711. |
Miners, shot firers, stonecutters and carvers |
1 |
|
721. |
Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trade workers |
1 |
|
723. |
Machinery mechanics and fitters |
1 |
|
742. |
Wood treaters, cabinet-makers and related trades workers |
1 |
|
743. |
Garment and related trade workers |
8 |
|
813. |
Glas and chemical-processing-plant operators |
2 |
|
814. |
Wood-processing- and papermaking-plant operators |
6 |
|
821. |
Metal- and mineral-products machine operators |
7 |
|
822. |
Chemical-products machine operators |
1 |
|
823. |
Rubber- and plaxtic-products machine operators |
1 |
|
825. |
Printing-, binding- and paper-products machine operators |
2 |
|
826. |
Textile-, fur- and leather-products machine operators |
33 |
|
827. |
Food and related products machine operators |
8 |
|
828. |
Assemblers |
7 |
|
829. |
Other machine operators and assemblers |
3 |
|
832. |
Motor-vehicle drivers |
3 |
|
912. |
Helpers and cleaners |
61 |
|
913. |
Helpers in reataurant |
23 |
|
914. |
Doorkeepers, newspaper and package deliverers and related workers |
4 |
|
921. |
Agricultural, fishery and related labourers |
4 |
|
932. |
Manufacturing labourers |
3 |
|
933. |
Transport labourers and freight handlers |
1 |
|
999. |
INAP/NA |
295 |
Range of Valid Data Values: 121-933
Range of Invalid Data Values: 999
Summary Statistics: Valid 842 ; Min. 121 ; Max. 933
Variable Format: numeric
Q33_4. Mother: Occupation: SSYK code pos 1-4
What kind of production/operation were in the place your mother worked? Mother: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-4
Value |
Label |
Frequency |
|
|---|---|---|---|
1210. |
Directors and chief executives |
1 |
|
1222. |
Production and operations managers in manufacturing |
1 |
|
1224. |
Production and operations managers in wholesale and retail trade, hotels and restaurants, transport and communications |
1 |
|
1226. |
Production and operations managers in public administration |
1 |
|
1227. |
Production and operations managers in education |
1 |
|
1231. |
Finance and administration managers |
1 |
|
1311. |
Managers of small enterprises in agriculture, hunting, forestry and fishing |
1 |
|
1314. |
Managers of small enterprises in wholesale and retail trade, hotels and restaurants, transport and communications |
10 |
|
1315. |
Managers of small enterprises in business services enterprises |
1 |
|
1317. |
Managers of small enterprises in education |
1 |
|
1318. |
Managers of small enterprises in health and social work |
1 |
|
1319. |
Managers of small enterprises not elsewhere classified |
5 |
|
2113. |
Chemists |
1 |
|
2122. |
Statisticians |
1 |
|
2131. |
Computer system designers, analysts and programmers |
2 |
|
2146. |
Chemical engineers |
1 |
|
2220. |
Health professionals (except nursing) |
1 |
|
2221. |
Medical doctors |
3 |
|
2222. |
Dentists |
1 |
|
2223. |
Veterinarians |
1 |
|
2224. |
Pharmacists |
3 |
|
2231. |
Midwives |
3 |
|
2233. |
Emergency room nurses |
1 |
|
2234. |
Peadiatric nurses |
1 |
|
2235. |
District nurses |
5 |
|
2310. |
College university and higher education teaching professionals |
1 |
|
2321. |
Teaching professionals, academic subjects |
2 |
|
2322. |
Vocational teaching professional |
1 |
|
2323. |
Teaching professionals, artistic and practical subjects |
3 |
|
2330. |
Primary education teaching professionals |
31 |
|
2340. |
Special education teaching professionals |
3 |
|
2411. |
Accountants |
4 |
|
2412. |
Personnel and careers professionals |
2 |
|
2423. |
Corporate legal officers |
2 |
|
2431. |
Archivists and curators |
1 |
|
2432. |
Librarians and related information professionals |
1 |
|
2451. |
Authors, journalists and related professionals |
2 |
|
2453. |
Composers, musicians and singers |
1 |
|
2456. |
Designers |
2 |
|
2470. |
Public service administrative professionals |
5 |
|
2480. |
Administrative professional of special-interest organisations |
1 |
|
2491. |
Psychologists and related professionals |
2 |
|
2492. |
Social work professionals |
8 |
|
3118. |
Draughtspersons |
3 |
|
3119. |
Physical and engineering science technicians not elsewhere classified |
1 |
|
3134. |
Medical equipment operators and technicians |
3 |
|
3211. |
Agronomy and horiticultural technicians |
1 |
|
3221. |
Occupational therapists |
4 |
|
3222. |
Hygienists, health and enviromental officers |
1 |
|
3225. |
Dental Hygienists |
3 |
|
3226. |
Physiotherapists and related associate professionals |
3 |
|
3231. |
Medical care nurses |
2 |
|
3233. |
Geriatric nurses |
1 |
|
3235. |
Radiology nurses |
2 |
|
3239. |
Nursing associate professionals not elsewhere classified |
25 |
|
3240. |
Life science technicians |
3 |
|
3310. |
Pre-primary education teaching associate professionals |
24 |
|
3320. |
Other teaching associate professionals |
1 |
|
3412. |
Insurance representatives |
1 |
|
3415. |
Technical and commercial sales representatives |
1 |
|
3418. |
Banking associate professionals |
7 |
|
3431. |
Administrative secretaries and related associate professionals |
7 |
|
3433. |
Bookkeepers |
5 |
|
3443. |
Government social benefits officials |
3 |
|
3462. |
Recreation officers and related associate professionals |
2 |
|
3470. |
Artistic, entertainment and sports associate professionals |
1 |
|
3471. |
Decorators and commercial designers |
1 |
|
3475. |
Athletes, sportspersons and related associate professionals |
1 |
|
4111. |
Date entry operators |
1 |
|
4112. |
Office secretaries |
30 |
|
4120. |
Numerical clerks |
10 |
|
4131. |
Stock clerks and storekeepers |
3 |
|
4132. |
Transport clerks |
2 |
|
4150. |
Mail carriers and sorting clerks |
6 |
|
4190. |
Other office clerks |
47 |
|
4211. |
Cashiers and ticket clerks |
7 |
|
4212. |
Tellers and other counter clerks |
13 |
|
4222. |
Receptionists |
3 |
|
4223. |
Telephone switchboard operators |
5 |
|
5112. |
Transport conductors |
1 |
|
5121. |
Shop salesperson, food stores |
3 |
|
5122. |
Cooks |
17 |
|
5123. |
Waiters, waitresses and bartenders |
3 |
|
5131. |
Child-care workers |
32 |
|
5132. |
Assistant nurses and hospital ward assistants |
34 |
|
5133. |
Home-based personal care and related workers |
78 |
|
5134. |
Attendants, psychiatric care |
6 |
|
5135. |
Dental nurses |
3 |
|
5139. |
Personal care and related workers not elsewhere classified |
1 |
|
5141. |
Hairdressers, barbers, beauticians and related workers |
12 |
|
5152. |
Security guards and patrolmen |
1 |
|
5159. |
Protective service workers not elsewhere classified |
1 |
|
5221. |
Shop salespersons, food stores |
47 |
|
5222. |
Shop salespersons, non-food stores |
19 |
|
5223. |
Café-keepers |
3 |
|
5224. |
Salesperson, stalls |
2 |
|
5227. |
Demonstrators and telephone salespersons |
1 |
|
6111. |
Field crop and vegetable growers |
1 |
|
6112. |
Horticultural and nursery growers |
5 |
|
6113. |
Gardeners, parks and grounds |
1 |
|
6121. |
Dairy and livestock producers |
10 |
|
6130. |
Crop and animal producers |
26 |
|
7111. |
Miners, shot firers, stonecutters and carvers |
1 |
|
7214. |
Structural-metal prepares and erectors |
1 |
|
7231. |
Motor vehicle mechanics and fitters |
1 |
|
7420. |
Wood treaters, cabinet-makers and related trades workers |
1 |
|
7431. |
Tailors, dressmakers and hatter |
6 |
|
7432. |
Furriers and related workers |
1 |
|
7434. |
Sewers and related workers |
1 |
|
8130. |
Glass, ceramics and related plant operators |
2 |
|
8141. |
Wood-processing-plant operators |
2 |
|
8144. |
Papermaking-plant operators |
4 |
|
8211. |
Machine-tool operators |
7 |
|
8221. |
Pharmaceutical- and toiletry-products machine operators |
1 |
|
8231. |
Rubber-products machine operators |
1 |
|
8251. |
Printing-machine opeartors |
1 |
|
8253. |
Paper-products machine opeartors |
1 |
|
8261. |
Fibre-preparing-, spinning- and winding-machine operators |
1 |
|
8262. |
Weaving- and knitting-machine operators |
3 |
|
8263. |
Sewing-machine opeartors |
15 |
|
8264. |
Bleaching-, dyeing- and cleaning-machine operator |
9 |
|
8265. |
Shoemaking- and related machine operators |
3 |
|
8269. |
Tetile-, fur- and leather-products machine operators not elsewhere classified |
2 |
|
8271. |
Meat- and fish-processing-machine operators |
3 |
|
8274. |
Baked-goods, cereal and chokolate-products machine operators |
3 |
|
8278. |
Brewers, wine and other beverage machine operators |
1 |
|
8279. |
Tobacco production machine operators |
1 |
|
8281. |
Mechanical-machinery assemblers |
2 |
|
8282. |
Electrical- and electronic-equipment assemblers |
5 |
|
8290. |
Other machine operators and assemblers |
3 |
|
8322. |
Bus and tram drivers |
1 |
|
8323. |
Heavy truck and lorry drivers |
2 |
|
9121. |
Domestic helpers and cleaners |
12 |
|
9122. |
Helpers and cleaners in offices, hotels and other establishments |
49 |
|
9130. |
Helpers in restaurants |
23 |
|
9141. |
Newspaper and package deliverers |
3 |
|
9142. |
Doorkeepers and related workers |
1 |
|
9210. |
Agricultural, fishery and related labourers |
4 |
|
9320. |
Manufacturing labourers |
3 |
|
9330. |
Transport labourers and freight handlers |
1 |
|
9999. |
INAP/NA |
295 |
Range of Valid Data Values: 1210-9330
Range of Invalid Data Values: 9999
Summary Statistics: Valid 842 ;
Variable Format: numeric
Q34. Mother: Self-employed or employee
Were your mother an employee or self-employed?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Self-employed |
88 |
|
2. |
Emplayee |
788 |
|
8. |
Don't know |
80 |
|
9. |
INAP/NA |
181 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 956 ;
Variable Format: numeric
Q35. Modern: Offentlig eller privat tjänst
Do your mother mainly work in the private or public sector?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Public sector |
351 |
|
2. |
Corporation owned by state |
115 |
|
3. |
Private sector |
376 |
|
8. |
Don't know |
106 |
|
9. |
INAP/NA |
189 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 948 ;
Variable Format: numeric
Q36. Books in household when growing up
Approximately how many books did you have in your household when you were 16 years old?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
None |
12 |
|
2. |
A few |
72 |
|
3. |
About 10 |
49 |
|
4. |
About 20 |
132 |
|
5. |
About 50 |
242 |
|
6. |
About 100 |
230 |
|
7. |
About 200 |
186 |
|
8. |
About 500 |
136 |
|
9. |
About 1000 or more |
69 |
|
99. |
NA |
9 |
Range of Valid Data Values: 1-9
Range of Invalid Data Values: 99
Summary Statistics: Valid 1128 ;
Variable Format: numeric
Q37. First job: Private or public sector
And here are some questions about your - after leaving full-time education - first work.
If you think about your first jobb, did you work in private or public sector?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Public sector |
336 |
|
2. |
Corporation owned by state |
108 |
|
3. |
Private sector |
644 |
|
8. |
Has never been gainfully employed |
32 |
|
9. |
NA |
17 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1120 ;
Variable Format: numeric
Q38. First job: Self-employed or employee
Were you an employee or self-employed?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Employee |
1072 |
|
2. |
Self-employed |
18 |
|
9. |
NA |
47 |
Range of Valid Data Values: 1-2
Range of Invalid Data Values: 9
Summary Statistics: Valid 1090 ;
Variable Format: numeric
Q39. First job: Socio-ecomomic classification
What was your first occupation?
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Unskilled employees in goods production |
134 |
|
12. |
Unskilled employees in service production |
361 |
|
21. |
Skilled employees in goods production |
126 |
|
22. |
Skilled employees in service production |
73 |
|
36. |
Assistant non-manual employees |
141 |
|
46. |
Intermediate non-manual employees |
156 |
|
56. |
Professionals and other higher non-manual employees |
63 |
|
57. |
Upper-level executives |
1 |
|
79. |
Entrepreneurs |
17 |
|
89. |
Farmers |
7 |
|
99. |
NA |
58 |
Range of Valid Data Values: 11-89
Range of Invalid Data Values: 99
Summary Statistics: Valid 1079 ;
Variable Format: numeric
Q40_1. First job: Occupation: SSYK code pos 1
What kind of production/operation were in the place you first worked? First job: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Managers and senior officials |
2 |
|
2. |
Professional |
116 |
|
3. |
Technicians and associate professionals |
117 |
|
4. |
Office- and customer service work |
147 |
|
5. |
Service workers and shop sales workers |
281 |
|
6. |
Skilled agricultural and fishery workers |
39 |
|
7. |
Craft and related trades workers |
126 |
|
8. |
Plant and machine operators and assemblers |
126 |
|
9. |
Elementary occupations |
113 |
|
11. |
Armed forces |
6 |
|
99. |
INAP/NA |
64 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 99
Summary Statistics: Valid 1073 ;
Variable Format: numeric
Q40_2. First job: Occupation: SSYK code pos 1-2
What kind of production/operation were in the place you first worked? First job: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-2
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Armed forces |
6 |
|
11. |
Legislators and senior officials |
1 |
|
13. |
Managers of small enterprises |
1 |
|
21. |
Physical, mathematical and engineering science professionals |
26 |
|
22. |
Life science and health professionals |
10 |
|
23. |
Teaching professionals |
49 |
|
24. |
Other professionals |
31 |
|
31. |
Physical and engineering science associate professionals |
42 |
|
32. |
Life science and health associate professionals |
21 |
|
33. |
Teaching associate professionals |
13 |
|
34. |
Other associate professionals |
41 |
|
41. |
Office clerks |
108 |
|
42. |
Customer services clerks |
39 |
|
51. |
Personal and protective service workers |
150 |
|
52. |
Models, salespersons and demonstrators |
131 |
|
61. |
Skilled agricultural and fishery workers |
39 |
|
71. |
Extraction and building trades workers |
56 |
|
72. |
Metal, machinery and related trades workers |
48 |
|
73. |
Precision, handicraft, craft printing and related trades workers |
5 |
|
74. |
Other craft and related trades workers |
17 |
|
81. |
Stationary-plant and related operators |
20 |
|
82. |
Machine operators and assemblers |
81 |
|
83. |
Drivers and mobile-plant operators |
25 |
|
91. |
Sales and services elementary occupations |
94 |
|
92. |
Agricultural, fishery and related labourers |
4 |
|
93. |
Labourers in mining, construction, manufacturing and transport |
15 |
|
99. |
INAP/NA |
64 |
Range of Valid Data Values: 1-93
Range of Invalid Data Values: 99
Summary Statistics: Valid 1073 ;
Variable Format: numeric
Q40_3. First job: Occupation: SSYK code pos 1-3
What kind of production/operation were in the place you first worked? First job: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-3
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Armed forces |
6 |
|
111. |
Legislators and senior governmnet officials |
1 |
|
131. |
Managers of small enterprises |
1 |
|
211. |
Phycisists, chemists and related professionals |
2 |
|
213. |
Computing professionals |
14 |
|
214. |
Architects, engineers and related professionals |
10 |
|
221. |
Life science professionals |
1 |
|
222. |
Health professionals (except nursing) |
8 |
|
223. |
Nursing and midwifery professionals |
1 |
|
231. |
College, university and higher education teaching professionals |
6 |
|
232. |
Secondary education teaching professionals |
13 |
|
233. |
Primary education teaching professionals |
30 |
|
241. |
Business professionals |
6 |
|
242. |
Legal professionals |
5 |
|
243. |
Archivists, librarians and related information professionals |
2 |
|
245. |
Writers and creative or performing artists |
13 |
|
247. |
Public service administrative professionals |
1 |
|
249. |
Psychologists, social work and related professionals |
4 |
|
311. |
Physical and engineering science technicians |
31 |
|
312. |
Computer associate professionals |
7 |
|
313. |
Optical and electronic equipment operators |
2 |
|
314. |
Ship and aircraft controllers and technicians |
2 |
|
321. |
Agronomy and forestry technicians |
1 |
|
322. |
Health associate professionals (except nursing) |
5 |
|
323. |
Nursing associate professionals |
10 |
|
324. |
Life sciense technicians |
5 |
|
331. |
Pre-primary education teaching associate professionals |
12 |
|
332. |
Other teaching associate professionals |
1 |
|
341. |
Finance and sales associate professionals |
19 |
|
342. |
Business services agents and trade brokers |
2 |
|
343. |
Administrative associate professionals |
5 |
|
344. |
Customs, tax and related government associate professionals |
1 |
|
346. |
Social work associate professionals |
7 |
|
347. |
Artistic, entertainment and sports associate professionals |
7 |
|
411. |
Office secretaries and data entry operators |
10 |
|
412. |
Numerical clerks |
11 |
|
413. |
Stores and transport clerks |
18 |
|
414. |
Library and filing clerks |
2 |
|
415. |
Mail carriers and sporting clerks |
13 |
|
419. |
Other office clerks |
54 |
|
421. |
Cashiers, tellers and related clerks |
16 |
|
422. |
Client information clerks |
23 |
|
511. |
Travel attendants and related workers |
2 |
|
512. |
Housekeeping and restaurant service workers |
17 |
|
513. |
Personal care and related workers |
120 |
|
514. |
Other personal services workers |
9 |
|
515. |
Protective services workers |
2 |
|
522. |
Shop and stall salespersons and demonstrators |
131 |
|
611. |
Market gardeners and crop growers |
7 |
|
612. |
Animal producers and related workers |
8 |
|
613. |
Crop and animal producers |
12 |
|
614. |
Forestry and related workers |
12 |
|
711. |
Miners, shot firers, stonecutters and carvers |
3 |
|
712. |
Building frame and related trades workers |
27 |
|
713. |
Building finishers and related trades workers |
22 |
|
714. |
Painters, building structure cleaners and related trades workers |
4 |
|
721. |
Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trade workers |
13 |
|
722. |
Blacksmitshs, tool-makers and related trades workers |
8 |
|
723. |
Machinery mechanics and fitters |
11 |
|
724. |
Electrical and electronic equipment mechanics and fitters |
16 |
|
731. |
Precision workers in metal and related materials |
2 |
|
732. |
Potters, glass-makers and related trades workers |
2 |
|
734. |
Craft printing and related trades workers |
1 |
|
741. |
Food processing and related trades workers |
4 |
|
742. |
Wood treaters, cabinet-makers and related trades workers |
3 |
|
743. |
Garment and related trade workers |
10 |
|
812. |
Metal-processing-plant operators |
2 |
|
813. |
Glas and chemical-processing-plant operators |
4 |
|
814. |
Wood-processing- and papermaking-plant operators |
13 |
|
815. |
Chemical-processing-plant operators |
1 |
|
821. |
Metal- and mineral-products machine operators |
18 |
|
822. |
Chemical-products machine operators |
7 |
|
823. |
Rubber- and plaxtic-products machine operators |
5 |
|
824. |
Wood-products machine operators |
5 |
|
825. |
Printing-, binding- and paper-products machine operators |
3 |
|
826. |
Textile-, fur- and leather-products machine operators |
8 |
|
827. |
Food and related products machine operators |
15 |
|
828. |
Assemblers |
17 |
|
829. |
Other machine operators and assemblers |
3 |
|
832. |
Motor-vehicle drivers |
14 |
|
833. |
Agricultural and other mobile-plant operators |
8 |
|
834. |
Ship's deck crew and related workers |
3 |
|
912. |
Helpers and cleaners |
51 |
|
913. |
Helpers in reataurant |
31 |
|
914. |
Doorkeepers, newspaper and package deliverers and related workers |
10 |
|
915. |
Garbage collectors and related labourers |
2 |
|
921. |
Agricultural, fishery and related labourers |
4 |
|
932. |
Manufacturing labourers |
3 |
|
933. |
Transport labourers and freight handlers |
12 |
|
999. |
INAP/NA |
64 |
Range of Valid Data Values: 11-933
Range of Invalid Data Values: 999
Summary Statistics: Valid 1073 ;
Variable Format: numeric
Q40_4. First job: Occupation: SSYK code pos 1-4
What kind of production/operation were in the place you first worked? First job: Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-4
Value |
Label |
Frequency |
|
|---|---|---|---|
110. |
Armed forces |
6 |
|
1110. |
Legislators and senior governmnet officials |
1 |
|
1319. |
Managers of small enterprises not elsewhere classified |
1 |
|
2113. |
Chemists |
2 |
|
2131. |
Computer system designers, analysts and programmers |
14 |
|
2141. |
Architects, town and traffic planners |
2 |
|
2142. |
Civil engineers |
2 |
|
2144. |
Electronics and telecommunications engineers |
1 |
|
2145. |
Mechanical engineers |
4 |
|
2149. |
Engineers not elsewhere classified |
1 |
|
2212. |
Pharmacologists and related professionals |
1 |
|
2221. |
Medical doctors |
3 |
|
2222. |
Dentists |
2 |
|
2223. |
Veterinarians |
2 |
|
2224. |
Pharmacists |
1 |
|
2231. |
Midwives |
1 |
|
2310. |
College university and higher education teaching professionals |
6 |
|
2321. |
Teaching professionals, academic subjects |
5 |
|
2323. |
Teaching professionals, artistic and practical subjects |
8 |
|
2330. |
Primary education teaching professionals |
30 |
|
2411. |
Accountants |
2 |
|
2412. |
Personnel and careers professionals |
1 |
|
2413. |
Market research analysts and related professionals |
1 |
|
2414. |
Organisational analysts |
2 |
|
2422. |
Judges |
3 |
|
2423. |
Corporate legal officers |
1 |
|
2429. |
Legal professionals not elsewhere classified |
1 |
|
2432. |
Librarians and related information professionals |
2 |
|
2451. |
Authors, journalists and related professionals |
8 |
|
2453. |
Composers, musicians and singers |
3 |
|
2455. |
Film, stage and related actors and directors |
1 |
|
2456. |
Designers |
1 |
|
2470. |
Public service administrative professionals |
1 |
|
2491. |
Psychologists and related professionals |
2 |
|
2492. |
Social work professionals |
2 |
|
3111. |
Chemical and physical science technicians |
4 |
|
3112. |
Civil engineering technicians |
10 |
|
3113. |
Electrical engineering technicians |
2 |
|
3114. |
Electronics and telecommunications engineering technicians |
5 |
|
3115. |
Mechanical engineering technicians |
7 |
|
3117. |
Mining and metallurgical technicians |
1 |
|
3118. |
Draughtspersons |
1 |
|
3119. |
Physical and engineering science technicians not elsewhere classified |
1 |
|
3121. |
Computer assistants |
7 |
|
3132. |
Image and sound recording equipment operators |
2 |
|
3141. |
Ships' engineers |
1 |
|
3144. |
Air traffic controllers |
1 |
|
3212. |
Foresty technicians |
1 |
|
3222. |
Hygienists, health and enviromental officers |
3 |
|
3223. |
Dieticians |
1 |
|
3224. |
Optometrists and opticians |
1 |
|
3239. |
Nursing associate professionals not elsewhere classified |
10 |
|
3240. |
Life science technicians |
5 |
|
3310. |
Pre-primary education teaching associate professionals |
12 |
|
3320. |
Other teaching associate professionals |
1 |
|
3411. |
Securities and finance dealers and brokers |
2 |
|
3412. |
Insurance representatives |
2 |
|
3413. |
Estate agents |
1 |
|
3415. |
Technical and commercial sales representatives |
4 |
|
3418. |
Banking associate professionals |
8 |
|
3419. |
Finance and sales associate professionals not elsewhere classified |
2 |
|
3422. |
Clearing and forwarding agents |
1 |
|
3423. |
Employment agents and labour contractors |
1 |
|
3431. |
Administrative secretaries and related associate professionals |
3 |
|
3433. |
Bookkeepers |
2 |
|
3443. |
Government social benefits officials |
1 |
|
3462. |
Recreation officers and related associate professionals |
7 |
|
3471. |
Decorators and commercial designers |
4 |
|
3473. |
Street, nightclub and related musicians, singers and dancers |
1 |
|
3475. |
Athletes, sportspersons and related associate professionals |
2 |
|
4111. |
Data entry operators |
1 |
|
4112. |
Office secretaries |
9 |
|
4120. |
Numerical clerks |
11 |
|
4131. |
Stock clerks and storekeepers |
17 |
|
4132. |
Transport clerks |
1 |
|
4140. |
Library and filing clerks |
2 |
|
4150. |
Mail carriers and sorting clerks |
13 |
|
4190. |
Other office clerks |
54 |
|
4211. |
Cashiers and ticket clerks |
9 |
|
4212. |
Tellers and other counter clerks |
7 |
|
4222. |
Receptionists |
12 |
|
4223. |
Telephone switchboard operators |
9 |
|
4224. |
Transport informant clerks |
2 |
|
5111. |
Travel attendants and travel stewards |
1 |
|
5113. |
Travel guides |
1 |
|
5121. |
Housekeepers and related workers |
1 |
|
5122. |
Cooks |
4 |
|
5123. |
Waiters, waitresses and bartenders |
12 |
|
5131. |
Child-care workers |
23 |
|
5132. |
Assistant nurses and hospital ward assistants |
37 |
|
5133. |
Home-based personal care and related workers |
50 |
|
5134. |
Attendants, psychiatric care |
6 |
|
5135. |
Dental nurses |
3 |
|
5139. |
Personal care and related workers not elsewhere classified |
1 |
|
5141. |
Hairdressers, barbers, beauticians and related workers |
9 |
|
5151. |
Fire-fighters |
1 |
|
5152. |
Security guards and patrolmen |
1 |
|
5221. |
Shop salespersons, food stores |
64 |
|
5222. |
Shop salespersons, non-food stores |
55 |
|
5223. |
Café-keepers |
3 |
|
5224. |
Salespersons, stalls |
4 |
|
5225. |
Salesperson, petrol station |
1 |
|
5227. |
Demonstrators and thelephone salespersons |
4 |
|
6112. |
Horticultural and nursery growers |
4 |
|
6113. |
Gardeners, parks and grounds |
3 |
|
6121. |
Dairy and livestock producers |
7 |
|
6129. |
Animal producers and related workers not elsewhere classified |
1 |
|
6130. |
Crop and animal producers |
12 |
|
6140. |
Forestry and related workers |
12 |
|
7111. |
Miners, shot firers, stonecutters and carvers |
3 |
|
7121. |
Bricklayers, stonemasons and tile setters |
1 |
|
7123. |
Carpenters and joiners |
9 |
|
7124. |
Rail and road construction workers |
6 |
|
7129. |
Building frame and related trades workers not elsewhere classified |
11 |
|
7135. |
Plumbers |
8 |
|
7136. |
Building and related electricians |
10 |
|
7137. |
Building caretakers |
4 |
|
7141. |
Painters and related workers |
4 |
|
7212. |
Welders and flame cutters |
4 |
|
7213. |
Sheet-metal workers |
8 |
|
7214. |
Structural-metal prepares and erectors |
1 |
|
7221. |
Blacksmiths, hammer-smiths and forging-press workers |
3 |
|
7222. |
Tool-makers and related workers |
2 |
|
7224. |
Metal wheel-grinders, polishers and tool sharpeners |
3 |
|
7231. |
Motor vehicle mechanics and fitters |
10 |
|
7233. |
Agricultural- or industrial-machinery mechanics and fitters |
1 |
|
7241. |
Electrical mechanics fitters and servicers |
5 |
|
7242. |
Electronics mechanics fitters and servicers |
9 |
|
7243. |
Electrical line installers, repairers and cable jointers |
2 |
|
7311. |
Precision-instrument makers and repairers |
1 |
|
7313. |
Jewellery and precious-metal workers |
1 |
|
7321. |
Abrasive wheel formers, potters and related workers |
1 |
|
7324. |
Glass, ceramics and related decorative painters |
1 |
|
7341. |
Compositors, desctop operators and related workers |
1 |
|
7412. |
Bakers, pastry-cooks and confectionery makers |
4 |
|
7421. |
Cabinet-makers and related workers |
3 |
|
7431. |
Tailors, dressmakers and hatter |
4 |
|
7433. |
Textile, leather and related pattern-makers and cutters |
4 |
|
7435. |
Upholsterers and related workers |
2 |
|
8121. |
Ore and metal furnace operators |
1 |
|
8125. |
Casters and coremakers |
1 |
|
8130. |
Glass, ceramics and related plant operators |
4 |
|
8141. |
Wood-processing-plant operators |
10 |
|
8144. |
Papermaking-plant operators |
3 |
|
8150. |
Chemical-processing-plant operators |
1 |
|
8211. |
Machine-tool operators |
18 |
|
8221. |
Pharmaceutical- and toiletry-products machine operators |
1 |
|
8223. |
Metal finishing-, planting- and coating-machine operators |
4 |
|
8224. |
Photographic-products machine operators |
2 |
|
8232. |
Plastic-products machine operators |
5 |
|
8240. |
Wood-products machine operators |
5 |
|
8251. |
Printing-machine opeartors |
1 |
|
8252. |
Bookbinding-machine operators |
1 |
|
8253. |
Paper-products machine opeartors |
1 |
|
8263. |
Sewing-machine opeartors |
4 |
|
8264. |
Bleaching-, dyeing- and cleaning-machine operators |
2 |
|
8265. |
Shoemaking- and related machine operators |
2 |
|
8271. |
Meat- and fish-processing-machine operators |
5 |
|
8272. |
Diary-products machine operators |
2 |
|
8274. |
Baked-goods, cereal and chocolate-products machie operators |
5 |
|
8275. |
Fruit-, vegetable- and nut-processing-machine operators |
1 |
|
8278. |
Brewers, wine and other beverage machine operators |
2 |
|
8281. |
Mechanical-machinery assemblers |
10 |
|
8282. |
Electrical- and electronic-equipment assemblers |
5 |
|
8283. |
Metal-, rubber- and plastic-products assembler |
1 |
|
8284. |
Wood and related products assemblers |
1 |
|
8290. |
Other machine operators and assemblers |
3 |
|
8321. |
Car, taxi and van drivers |
5 |
|
8323. |
Heavy truck and lorry drivers |
9 |
|
8330. |
Agricultural and other mobile-plant operators |
1 |
|
8331. |
Motorised farm and forestry plant operators |
1 |
|
8332. |
Earth-moving- and related plant operators |
3 |
|
8334. |
Lifting-truck operators |
3 |
|
8340. |
Ships' deck crews and related workers |
3 |
|
9121. |
Domestic helpers and cleaners |
31 |
|
9122. |
Helpers and cleaners in offices, hotels and other establishments |
20 |
|
9130. |
Helpers in restaurants |
31 |
|
9141. |
Newspaper and package deliverers |
2 |
|
9142. |
Doorkeepers and related workers |
8 |
|
9150. |
Garbage collectors and related labourers |
2 |
|
9210. |
Agricultural, fishery and related labourers |
4 |
|
9320. |
Manufacturing labourers |
3 |
|
9330. |
Transport labourers and freight handlers |
12 |
|
9999. |
INAP/NA |
64 |
Range of Valid Data Values: 110-9999
Range of Invalid Data Values: 999
Summary Statistics: Valid 1137 ;
Variable Format: numeric
Q41. Current employment status
And here are some questions about your work.
Which of the following groups do you belong to?
If you are on parental leave or being on the sick-list, indicate to which group you belonged to prior to your leave.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Employed full-time (more than 35 hours/week) |
620 |
|
2. |
Employed part-time (15-35 hours/week) |
135 |
|
3. |
Employed less than 15 hours/week |
14 |
|
4. |
Helping family member |
2 |
|
5. |
Unemployed |
43 |
|
6. |
In vocational training |
2 |
|
7. |
Student |
79 |
|
8. |
Retired |
193 |
|
9. |
Housewife/homeduties |
3 |
|
10. |
Permanently disabled |
29 |
|
99. |
NA |
17 |
Range of Valid Data Values: 1-10
Range of Invalid Data Values: 99
Summary Statistics: Valid 1120 ;
Variable Format: numeric
How many hours weekly do you normally work?
Value |
Label |
Frequency |
|
|---|---|---|---|
97. |
Don't work |
307 |
|
99. |
NA |
25 |
Range of Valid Data Values: 1-97
Range of Invalid Data Values: 99-
Summary Statistics: Valid 1112 ; Min. 1 ; Max. 97
Variable Format: numeric
Q43. Socio-Economic classification
What is your occupation? If you are retired or not working at present, specify your latest occupation.
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Unskilled employees in goods production |
57 |
|
12. |
Unskilled employees in service production |
189 |
|
21. |
Skilled employees in goods production |
86 |
|
22. |
Skilled employees in service production |
74 |
|
36. |
Assistant non-manual employees |
134 |
|
46. |
Intermediate non-manual employees |
241 |
|
56. |
Professionals and other higher non-manual employees |
144 |
|
57. |
Upper-level executives |
18 |
|
79. |
Entrepreneurs |
116 |
|
89. |
Farmers |
5 |
|
99. |
NA |
73 |
Range of Valid Data Values: 11-89
Range of Invalid Data Values: 99
Summary Statistics: Valid 1064 ;
Variable Format: numeric
Q44_1. Occupation: SSYK code pos 1
Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Managers and senior officials |
84 |
|
2. |
Professional |
211 |
|
3. |
Technicians and associate professionals |
204 |
|
4. |
Office- and customer service work |
112 |
|
5. |
Service workers and shop sales workers |
205 |
|
6. |
Skilled agricultural and fishery workers |
13 |
|
7. |
Craft and related trades workers |
91 |
|
8. |
Plant and machine operators and assemblers |
96 |
|
9. |
Elementary occupations |
42 |
|
11. |
Armed forces |
2 |
|
99. |
INAP/NA |
77 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 99
Summary Statistics: Valid 1060 ;
Variable Format: numeric
Q44_2. Occupation: SSYK code pos 1-2
Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-2
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Armed forces |
2 |
|
11. |
Legislators and senior officials |
4 |
|
12. |
Corporate managers |
30 |
|
13. |
Managers of small enterprises |
50 |
|
21. |
Physical, mathematical and engineering science professionals |
39 |
|
22. |
Life science and health professionals |
31 |
|
23. |
Teaching professionals |
64 |
|
24. |
Other professionals |
77 |
|
31. |
Physical and engineering science associate professionals |
69 |
|
32. |
Life science and health associate professionals |
34 |
|
33. |
Teaching associate professionals |
16 |
|
34. |
Other associate professionals |
85 |
|
41. |
Office clerks |
86 |
|
42. |
Customer services clerks |
26 |
|
51. |
Personal and protective service workers |
138 |
|
52. |
Models, salespersons and demonstrators |
67 |
|
61. |
Skilled agricultural and fishery workers |
13 |
|
71. |
Extraction and building trades workers |
45 |
|
72. |
Metal, machinery and related trades workers |
35 |
|
73. |
Precision, handicraft, craft printing and related trades workers |
4 |
|
74. |
Other craft and related trades workers |
7 |
|
81. |
Stationary-plant and related operators |
15 |
|
82. |
Machine operators and assemblers |
47 |
|
83. |
Drivers and mobile-plant operators |
34 |
|
91. |
Sales and services elementary occupations |
39 |
|
93. |
Labourers in mining, construction, manufacturing and transport |
3 |
|
99. |
INAP/NA |
77 |
Range of Valid Data Values: 1-93
Range of Invalid Data Values: 99
Summary Statistics: Valid 1060 ;
Variable Format: numeric
Q44_3. Occupation: SSYK code pos 1-3
Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-3
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Armed forces |
2 |
|
111. |
Legislators and senior governmnet officials |
3 |
|
112. |
Senior officials of special-interest organisations |
1 |
|
121. |
Directors and chief executives |
5 |
|
122. |
Production and operations managers |
17 |
|
123. |
Other specialist managers |
8 |
|
131. |
Managers of small enterprises |
50 |
|
213. |
Computing professionals |
28 |
|
214. |
Architects, engineers and related professionals |
11 |
|
221. |
Life science professionals |
2 |
|
222. |
Health professionals (except nursing) |
16 |
|
223. |
Nursing and midwifery professionals |
13 |
|
231. |
College, university and higher education teaching professionals |
13 |
|
232. |
Secondary education teaching professionals |
14 |
|
233. |
Primary education teaching professionals |
33 |
|
234. |
Special education teaching professionals |
2 |
|
235. |
Other teaching professionals |
2 |
|
241. |
Business professionals |
30 |
|
242. |
Legal professionals |
4 |
|
243. |
Archivists, librarians and related information professionals |
6 |
|
244. |
Social science and linguistics professionals (except social work professionals) |
2 |
|
245. |
Writers and creative or performing artists |
15 |
|
246. |
Religious professionals |
2 |
|
247. |
Public service administrative professionals |
5 |
|
248. |
Administrative professionals of special-interest organisations |
1 |
|
249. |
Psychologists, social work and related professionals |
12 |
|
311. |
Physical and engineering science technicians |
43 |
|
312. |
Computer associate professionals |
12 |
|
313. |
Optical and electronic equipment operators |
9 |
|
314. |
Ship and aircraft controllers and technicians |
4 |
|
315. |
Safety and quality inspectors |
1 |
|
321. |
Agronomy and forestry technicians |
2 |
|
322. |
Health associate professionals (except nursing) |
8 |
|
323. |
Nursing associate professionals |
21 |
|
324. |
Life science technicians |
3 |
|
331. |
Pre-primary education teaching associate professionals |
14 |
|
332. |
Other teaching associate professionals |
2 |
|
341. |
Finance and sales associate professionals |
35 |
|
342. |
Business services agents and trade brokers |
4 |
|
343. |
Administrative associate professionals |
18 |
|
344. |
Customs, tax and related government associate professionals |
8 |
|
345. |
Police officers and detectives |
6 |
|
346. |
Social work associate professionals |
8 |
|
347. |
Artistic, entertainment and sports associate professionals |
6 |
|
411. |
Office secretaries and data entry operators |
8 |
|
412. |
Numerical clerks |
24 |
|
413. |
Stores and transport clerks |
18 |
|
414. |
Library and filing clerks |
1 |
|
415. |
Mail carriers and sporting clerks |
7 |
|
419. |
Other office clerks |
28 |
|
421. |
Cashiers, tellers and related clerks |
12 |
|
422. |
Client information clerks |
14 |
|
511. |
Travel attendants and related workers |
3 |
|
512. |
Housekeeping and restaurant service workers |
11 |
|
513. |
Personal care and related workers |
114 |
|
514. |
Other personal services workers |
7 |
|
515. |
Protective services workers |
3 |
|
522. |
Shop and stall salespersons and demonstrators |
67 |
|
611. |
Market gardeners and crop growers |
3 |
|
612. |
Animal producers and related workers |
6 |
|
613. |
Crop and animal producers |
1 |
|
614. |
Forestry and related workers |
3 |
|
711. |
Miners, shot firers, stonecutters and carvers |
3 |
|
712. |
Building frame and related trades workers |
22 |
|
713. |
Building finishers and related trades workers |
15 |
|
714. |
Painters, building structure cleaners and related trades workers |
5 |
|
721. |
Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trade workers |
13 |
|
722. |
Blacksmitshs, tool-makers and related trades workers |
6 |
|
723. |
Machinery mechanics and fitters |
8 |
|
724. |
Electrical and electronic equipment mechanics and fitters |
8 |
|
731. |
Precision workers in metal and related materials |
2 |
|
732. |
Potters, glass-makers and related trades workers |
2 |
|
741. |
Food processing and related trades workers |
4 |
|
742. |
Wood treaters, cabinet-makers and related trades workers |
3 |
|
812. |
Metal-processing-plant operators |
4 |
|
813. |
Glas and chemical-processing-plant operators |
1 |
|
814. |
Wood-processing- and papermaking-plant operators |
5 |
|
816. |
Power-production and related plant operators |
3 |
|
817. |
Industrial-robot operators |
2 |
|
821. |
Metal- and mineral-products machine operators |
12 |
|
822. |
Chemical-products machine operators |
5 |
|
823. |
Rubber- and plaxtic-products machine operators |
3 |
|
824. |
Wood-products machine operators |
6 |
|
825. |
Printing-, binding- and paper-products machine operators |
2 |
|
826. |
Textile-, fur- and leather-products machine operators |
3 |
|
827. |
Food and related products machine operators |
4 |
|
828. |
Assemblers |
12 |
|
831. |
Locomotive-engine drivers and related workers |
3 |
|
832. |
Motor-vehicle drivers |
22 |
|
833. |
Agricultural and other mobile-plant operators |
9 |
|
912. |
Helpers and cleaners |
22 |
|
913. |
Helpers in reataurant |
8 |
|
914. |
Doorkeepers, newspaper and package deliverers and related workers |
6 |
|
915. |
Garbage collectors and related labourers |
2 |
|
919. |
Other sales and services elementary occupations |
1 |
|
932. |
Manufacturing labourers |
1 |
|
933. |
Transport labourers and freight handlers |
2 |
|
999. |
INAP/NA |
77 |
Range of Valid Data Values: 11-933
Range of Invalid Data Values: 999
Summary Statistics: Valid 1060 ;
Variable Format: numeric
Q44_4. Occupation: SSYK code pos 1-4
Occupation, SSYK (Swedish Standard Classification of Occupations) code pos. 1-4
Value |
Label |
Frequency |
|
|---|---|---|---|
110. |
Armed forces |
2 |
|
1110. |
Legislators and senior governmnet officials |
3 |
|
1120. |
Senior officials of special-interest groups |
1 |
|
1210. |
Directors and chief executives |
5 |
|
1222. |
Production and operations managers in manufacturing |
6 |
|
1226. |
Production and operations managers in public administration |
2 |
|
1227. |
Production and operations managers in education |
3 |
|
1228. |
Production and operations managers in health and social work |
4 |
|
1229. |
Production and operations managers not elsewhere classified |
2 |
|
1231. |
Finance and administration managers |
1 |
|
1232. |
Personell and industrial relations managers |
1 |
|
1234. |
Advertising and public relations managers |
1 |
|
1235. |
Supply and distribution managerrs |
1 |
|
1236. |
Computing services managers |
1 |
|
1239. |
Specialist managers not elsewhere classified |
3 |
|
1311. |
Managers of small enterprises in agriculture, hunting, forestry and fishing |
2 |
|
1312. |
Managers of small enterprises in manufacturing |
4 |
|
1313. |
Managers of small enterprises in construction |
3 |
|
1314. |
Managers of small enterprises in wholesale and retail trade, hotels and restaurants, transport and communications |
19 |
|
1315. |
Managers of small enterprises in business services enterprises |
2 |
|
1317. |
Managers of small enterprises in education |
4 |
|
1318. |
Managers of small enterprises in health and social work |
1 |
|
1319. |
Managers of small enterprises not elsewhere classified |
15 |
|
2131. |
Computer system designers, analysts and programmers |
27 |
|
2139. |
Computing professionals not elsewhere classified |
1 |
|
2141. |
Architects, town and traffic planners |
1 |
|
2142. |
Civil engineers |
1 |
|
2143. |
Electrical engineers |
1 |
|
2144. |
Electronics and telecommunications engineers |
1 |
|
2145. |
Mechanical engineers |
4 |
|
2148. |
Cartographers and surveyors |
2 |
|
2149. |
Engineers not elsewhere classified |
1 |
|
2211. |
Biologists and related professionals |
1 |
|
2213. |
Agronomics and horticulturists |
1 |
|
2221. |
Medical doctors |
12 |
|
2222. |
Dentists |
3 |
|
2223. |
Veterinarians |
1 |
|
2231. |
Midwives |
3 |
|
2232. |
Head nurses |
1 |
|
2233. |
Emergency room nurses |
4 |
|
2234. |
Paediatric nurses |
1 |
|
2235. |
District nurses |
3 |
|
2236. |
Other nursing professionals |
1 |
|
2310. |
College university and higher education teaching professionals |
13 |
|
2321. |
Teaching professionals, academic subjects |
10 |
|
2323. |
Teaching professionals, artistic and practical subjects |
4 |
|
2330. |
Primary education teaching professionals |
33 |
|
2340. |
Special education teaching professionals |
2 |
|
2359. |
Teaching professionals not elsewhere classified |
2 |
|
2411. |
Accountants |
6 |
|
2412. |
Personnel and careers professionals |
3 |
|
2413. |
Market research analysts and related professionals |
7 |
|
2414. |
Organisational analysts |
9 |
|
2419. |
Business professionals not elsewhere classified |
5 |
|
2421. |
Lawyers |
2 |
|
2423. |
Corporate legal officers |
1 |
|
2429. |
Legal professionals not elsewhere classified |
1 |
|
2431. |
Archivists and curators |
1 |
|
2432. |
Librarians and related informatin professionals |
5 |
|
2442. |
Sociologists, archaeologists and related professionals |
1 |
|
2444. |
Philologists, translators and interpreters |
1 |
|
2451. |
Authors, journalists and related professionals |
8 |
|
2452. |
Sculptors, painters and related artists |
2 |
|
2453. |
Composers, musicians and singers |
3 |
|
2456. |
Designers |
2 |
|
2460. |
Religious professionals |
2 |
|
2470. |
Public service administrative professionals |
5 |
|
2480. |
Administrative professional of special-interest organisations |
1 |
|
2491. |
Psychologists and related professionals |
4 |
|
2492. |
Social work professionals |
8 |
|
3111. |
Chemical and physical science technicians |
3 |
|
3112. |
Civil engineering technicians |
15 |
|
3113. |
Electrical engineering technicians |
2 |
|
3114. |
Electronics and telecommunications engineering technicians |
3 |
|
3115. |
Mechanical engineering technicians |
11 |
|
3116. |
Chemical engineering technicians |
3 |
|
3117. |
Mining and metallurgical technicians |
1 |
|
3118. |
Draughtspersons |
3 |
|
3119. |
Physical and engineering science technicians not elsewhere classified |
2 |
|
3121. |
Computer assistants |
11 |
|
3122. |
Computer equipment operators |
1 |
|
3131. |
Photographers |
1 |
|
3132. |
Image and sound recording equipment operators |
4 |
|
3133. |
Broadcasting and telecommunications equipment operators |
2 |
|
3134. |
Medical equipment operators and technicians |
2 |
|
3142. |
Ships' deck officers and pilots |
3 |
|
3144. |
Air traffic controllers |
1 |
|
3152. |
Safety, health and quality inspectors |
1 |
|
3212. |
Foresty technicians |
2 |
|
3221. |
Occupational therapists |
2 |
|
3222. |
Hygienists, health and enviromental officers |
3 |
|
3224. |
Optometrists and opticians |
1 |
|
3226. |
Physiotherapists and related associate professionals |
2 |
|
3232. |
Operating theatre nurses |
1 |
|
3233. |
Geriatric nurses |
2 |
|
3234. |
Psychiatric nurses |
1 |
|
3239. |
Nursing associate professionals not elsewhere classified |
17 |
|
3240. |
Life science technicians |
3 |
|
3310. |
Pre-primary educatin teaching associate professionals |
14 |
|
3320. |
Other teaching associate professionals |
2 |
|
3411. |
Securities and finance dealers and brokers |
1 |
|
3412. |
Insurance representatives |
2 |
|
3413. |
Estate agents |
3 |
|
3415. |
Technical and commercial sales representatives |
16 |
|
3416. |
Buyers |
3 |
|
3417. |
Appraisers, valuers and auctioneers |
1 |
|
3418. |
Banking associate professionals |
7 |
|
3419. |
Finance and sales associate professionals not elsewhere classified |
2 |
|
3423. |
Employment agents and labour contractors |
1 |
|
3429. |
Business services agents and trade brokers not elsewhere classified |
3 |
|
3431. |
Administrative secretaries and related associate professionals |
7 |
|
3433. |
Bookkeepers |
11 |
|
3441. |
Customs and border inspectors |
3 |
|
3442. |
Government tax and excise officials |
1 |
|
3443. |
Government social benefits officials |
4 |
|
3450. |
Police officers and detectives |
6 |
|
3461. |
Social workers and associate professionals |
4 |
|
3462. |
Recreation officers and related associate professionals |
4 |
|
3471. |
Decorators and commercial designers |
5 |
|
3473. |
Street, nightclub and related musicians, singers and dancers |
1 |
|
4112. |
Office secretaries |
8 |
|
4120. |
Numerical clerks |
24 |
|
4131. |
Stock clerks and storekeepers |
15 |
|
4132. |
Transport clerks |
3 |
|
4140. |
Library and filing clerks |
1 |
|
4150. |
Mail carriers and sorting clerks |
7 |
|
4190. |
Other office clerks |
28 |
|
4210. |
Cashiers, tellers and related clerks |
1 |
|
4211. |
Cashiers and other ticket clerks |
8 |
|
4212. |
Tellers and other counter clerks |
2 |
|
4215. |
Dept-collectors and related workers |
1 |
|
4222. |
Receptionists |
9 |
|
4223. |
Telephone switchboard operators |
3 |
|
4224. |
Transport informant clerks |
2 |
|
5111. |
Travel attendants and travel stewards |
1 |
|
5112. |
Transport conductors |
2 |
|
5121. |
Housekeepers and related workers |
2 |
|
5122. |
Cooks |
6 |
|
5123. |
Waiters, waitresses and bartenders |
3 |
|
5131. |
Child-care workers |
24 |
|
5132. |
Assistant nurses and hospital ward assistants |
18 |
|
5133. |
Home-based personal care and related workers |
58 |
|
5134. |
Attendants, psychiatric care |
11 |
|
5135. |
Dental nurses |
2 |
|
5139. |
Personal care and related workers not elsewhere classified |
1 |
|
5141. |
Hairdressers, barbers, beauticians and related workers |
7 |
|
5152. |
Security guards and patrolmen |
1 |
|
5153. |
Prison guards |
1 |
|
5159. |
Protective service workers not elsewhere classified |
1 |
|
5221. |
Shop salespersons, food stores |
29 |
|
5222. |
Shop salespersons, non-food stores |
25 |
|
5223. |
Café-keepers |
3 |
|
5225. |
Salesperson, petrol station |
2 |
|
5226. |
Salespersons, cars, boats and caravans |
1 |
|
5227. |
Demonstrators and telephone salespersons |
7 |
|
6111. |
Field crop and vegetable growers |
1 |
|
6112. |
Horticultural and nursery growers |
1 |
|
6113. |
Gardeners, parks and grounds |
1 |
|
6121. |
Dairy and livestock producers |
3 |
|
6129. |
Animal producers and related workers not elsewhere classified |
3 |
|
6130. |
Crop and animal producers |
1 |
|
6140. |
Forestry and related workers |
3 |
|
7111. |
Miners, shot firers, stonecutters and carvers |
3 |
|
7121. |
Bricklayers, stonemasons and tile setters |
1 |
|
7123. |
Carpenters and joiners |
3 |
|
7124. |
Rail and road construction workers |
4 |
|
7129. |
Building frame and related trades workers not elsewhere classified |
14 |
|
7135. |
Plumbers |
4 |
|
7136. |
Building and related electricians |
6 |
|
7137. |
Building caretakers |
5 |
|
7141. |
Painters and related workers |
4 |
|
7143. |
Building structure cleaners |
1 |
|
7211. |
Metal moulders |
1 |
|
7212. |
Welders and flame cutters |
1 |
|
7213. |
Sheet-metal workers |
9 |
|
7214. |
Structural-metal prepares and erectors |
1 |
|
7216. |
Underwater workers |
1 |
|
7221. |
Blacksmiths, hammer-smiths and forging-press workers |
1 |
|
7222. |
Tool-makers and related workers |
3 |
|
7224. |
Metal wheel-grinders, polishers and tool sharpeners |
2 |
|
7231. |
Motor vehicle mechanics and fitters |
6 |
|
7233. |
Agricultural- or industrial-machinery mechanics and fitters |
2 |
|
7241. |
Electrical mechanics fitters and servicers |
2 |
|
7242. |
Electronics mechanics fitters and servicers |
4 |
|
7243. |
Electrical line installers, repairers and cable jointers |
2 |
|
7311. |
Precision-instrument makers and repairers |
2 |
|
7321. |
Abrasive wheel formers, potters and related workers |
1 |
|
7324. |
Glass, ceramics and related decorative painters |
1 |
|
7411. |
Butchers, fishmongers and related food preparers |
1 |
|
7412. |
Bakers, pastry-cooks and confectionery makers |
3 |
|
7421. |
Cabinet-makers and related workers |
3 |
|
8121. |
Ore and metal furnace operators |
2 |
|
8122. |
Metal melters and rolling-mill operators |
1 |
|
8125. |
Casters and coremakers |
1 |
|
8130. |
Glass, ceramics and related plant operators |
1 |
|
8141. |
Wood-processing-plant operators |
2 |
|
8144. |
Papermaking-plant operators |
3 |
|
8160. |
Power-production and related plant operators |
3 |
|
8170. |
Industrial-robot operators |
2 |
|
8211. |
Machine-tool operators |
12 |
|
8221. |
Pharmaceutical- and toiletry-products machine operators |
3 |
|
8222. |
Ammunition- and eplosive-products machine operators |
1 |
|
8224. |
Photographic-products machine operators |
1 |
|
8231. |
Rubber-products machine operators |
1 |
|
8232. |
Plastic-products machine operators |
2 |
|
8240. |
Wood-products machine operators |
6 |
|
8251. |
Printing-machine opeartors |
1 |
|
8253. |
Paper-products machine opeartors |
1 |
|
8263. |
Sewing-machine opeartors |
2 |
|
8264. |
Bleaching-, dyeing- and cleaning-machine operators |
1 |
|
8271. |
Meat- and fish-processing-machine operators |
2 |
|
8272. |
Diary-products machine operators |
1 |
|
8277. |
Tea-, coffee- and cocoa-processing-machine operators |
1 |
|
8281. |
Mechanical-machinery assemblers |
5 |
|
8282. |
Electrical- and electronic-equipment assemblers |
3 |
|
8283. |
Metal-, rubber- and plastic-products assembler |
3 |
|
8284. |
Wood and related products assemblers |
1 |
|
8311. |
Locomotive-engine drivers |
1 |
|
8312. |
Railway brakers, signallers and shunters |
2 |
|
8321. |
Car, taxi and van drivers |
7 |
|
8322. |
Bus and tram drivers |
4 |
|
8323. |
Heavy truck and lorry drivers |
11 |
|
8331. |
Motorised farm and forestry plant operators |
2 |
|
8332. |
Earth-moving- and related plant operators |
3 |
|
8334. |
Lifting-truck operators |
4 |
|
9121. |
Domestic helpers and cleaners |
1 |
|
9122. |
Helpers and cleaners in offices, hotels and other establishments |
21 |
|
9130. |
Helpers in restaurants |
8 |
|
9141. |
Newspaper and package deliverers |
2 |
|
9142. |
Doorkeepers and related workers |
4 |
|
9150. |
Garbage collectors and related labourers |
2 |
|
9190. |
Other sales and sevices elementary occupations |
1 |
|
9320. |
Manufacturing labourers |
1 |
|
9330. |
Transport labourers and freight handlers |
2 |
|
9999. |
INAP/NA |
77 |
Range of Valid Data Values: 110-9999
Range of Invalid Data Values: 999
Summary Statistics: Valid 1137 ;
Variable Format: numeric
Q45_1. Employee or self-employed
Are you (were you) an employee or self-employed?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Self-employed, no employees |
68 |
|
2. |
Self-employed, with employees |
52 |
|
3. |
Employee |
945 |
|
4. |
Never worked |
33 |
|
9. |
INAP/NA |
39 |
Range of Valid Data Values: 1-4
Range of Invalid Data Values: 9
Summary Statistics: Valid 1098 ;
Variable Format: numeric
How many employees?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1 employee . . |
5 |
|
2. |
6 |
||
3. |
6 |
||
4. |
7 |
||
5. |
2 |
||
6. |
3 |
||
7. |
3 |
||
10. |
4 |
||
13. |
1 |
||
15. |
3 |
||
16. |
1 |
||
20. |
3 |
||
25. |
1 |
||
32. |
1 |
||
50. |
1 |
||
55. |
1 |
||
70. |
1 |
||
160. |
1 |
||
200. |
200 employees |
1 |
|
999. |
INAP/NA |
1086 |
Range of Valid Data Values: 1-200
Range of Invalid Data Values: 999
Summary Statistics: Valid 51 ;
Variable Format: numeric
Do you (did you) supervise the work of other employees?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
386 |
|
2. |
No |
704 |
|
3. |
Never worked |
28 |
|
9. |
INAP/NA |
19 |
Range of Valid Data Values: 1-3
Range of Invalid Data Values: 9
Summary Statistics: Valid 1118 ;
Variable Format: numeric
Do you (did you) mainly work in the private or public sector?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Public sector |
395 |
|
2. |
Corporation owned by state |
107 |
|
3. |
Private sector |
573 |
|
4. |
Never worked |
28 |
|
9. |
INAP/NA |
34 |
Range of Valid Data Values: 1-4
Range of Invalid Data Values: 9
Summary Statistics: Valid 1103 ;
Variable Format: numeric
Have you ever been a member of a trade union?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
911 |
|
2. |
No |
221 |
|
9. |
NA |
5 |
Range of Valid Data Values: 1-2
Range of Invalid Data Values: 9
Summary Statistics: Valid 1132 ;
Variable Format: numeric
Q49. Trade union membership at this moment
Are you a member of a trade union at this moment?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
LO |
250 |
|
2. |
TCO |
123 |
|
3. |
SACO |
87 |
|
4. |
Other |
186 |
|
5. |
No |
300 |
|
9. |
NA |
191 |
Range of Valid Data Values: 1-5
Range of Invalid Data Values: 9
Summary Statistics: Valid 946 ;
Variable Format: numeric
Q50. Education: Highest educational qualification
What is your highest educational qualification?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Primary or comprehensive school |
199 |
|
2. |
Vocational school (1972-92) |
128 |
|
3. |
Vocational school (post 1992) |
52 |
|
4. |
Vocational school (pre 1972) |
59 |
|
5. |
Alternative secondary school |
28 |
|
6. |
Realskola |
47 |
|
7. |
3 or 4 year gymnasium (academic track) |
128 |
|
8. |
Gymansium (academic track post 1992) |
23 |
|
9. |
Studentexamen |
38 |
|
10. |
University studies without degree |
108 |
|
11. |
University degree |
308 |
|
99. |
NA |
19 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 99
Summary Statistics: Valid 1118 ;
Variable Format: numeric
Q51. Education: Years in school
How many years have you attended school, all full time education included? Count from 1st grade of school!
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1 year |
2 |
|
2. |
2 |
2 |
|
3. |
3 |
5 |
|
4. |
4 |
10 |
|
5. |
5 |
4 |
|
6. |
6 |
12 |
|
7. |
7 |
49 |
|
8. |
8 |
44 |
|
9. |
9 |
78 |
|
10. |
10 |
61 |
|
11. |
11 |
132 |
|
12. |
12 |
171 |
|
13. |
13 |
102 |
|
14. |
14 |
80 |
|
15. |
15 |
85 |
|
16. |
16 |
84 |
|
17. |
17 |
59 |
|
18. |
18 |
40 |
|
19. |
19 |
13 |
|
20. |
20 |
23 |
|
21. |
21 |
5 |
|
22. |
22 |
6 |
|
23. |
23 |
1 |
|
25. |
25 years |
4 |
|
97. |
No education |
3 |
|
99. |
NA |
62 |
Range of Valid Data Values: 1-97
Range of Invalid Data Values: 97-0
Summary Statistics: Valid 1072 ;
Variable Format: numeric
What is your approximate income per month before taxes?
Range of Valid Data Values: 7-2000
Summary Statistics: Valid 1013 ; Min. 0 ; Max. 200000 ; Mean 23441.964 ; StDev 14359.064
Variable Format: numeric
Are you married, cohabiting or single?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Married |
570 |
|
2. |
Living as married |
256 |
|
3. |
Divorced |
56 |
|
4. |
Widowed |
40 |
|
5. |
Single |
202 |
|
9. |
NA |
13 |
Range of Valid Data Values: 1-5
Range of Invalid Data Values: 9
Summary Statistics: Valid 1124 ;
Variable Format: numeric
Q54. Current employment status of spouse/partner
Which of following groups does your spouse/partner belong to?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Employed full-time (more than 35 hours/week) |
486 |
|
2. |
Employed part-time (15-35 hours/week) |
99 |
|
3. |
Employed less than 15 hours/week |
7 |
|
4. |
Helping family member |
2 |
|
5. |
Unemployed |
20 |
|
6. |
In vocational training |
3 |
|
7. |
Student |
26 |
|
8. |
Retired |
148 |
|
9. |
Housewife/homeduties |
5 |
|
10. |
Permanently disabled |
34 |
|
0. |
NA |
307 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 0
Summary Statistics: Valid 830 ;
Variable Format: numeric
Q55. Partner: Hours worked weekly
How many hours weekly does your spouse/partner normally work?
Value |
Label |
Frequency |
|
|---|---|---|---|
5. |
1 |
||
6. |
2 |
||
8. |
1 |
||
10. |
2 |
||
12. |
1 |
||
13. |
1 |
||
17. |
1 |
||
20. |
17 |
||
22. |
2 |
||
24. |
1 |
||
25. |
10 |
||
27. |
2 |
||
28. |
1 |
||
29. |
1 |
||
30. |
30 |
||
32. |
11 |
||
33. |
3 |
||
34. |
3 |
||
35. |
26 |
||
36. |
10 |
||
37. |
8 |
||
38. |
22 |
||
39. |
2 |
||
40. |
332 |
||
41. |
2 |
||
42. |
4 |
||
43. |
3 |
||
44. |
1 |
||
45. |
41 |
||
46. |
2 |
||
47. |
2 |
||
48. |
1 |
||
50. |
28 |
||
55. |
4 |
||
60. |
10 |
||
65. |
2 |
||
70. |
3 |
||
80. |
1 |
||
97. |
Does not work |
219 |
|
99. |
INAP/NA |
324 |
Range of Valid Data Values: 5-97
Range of Invalid Data Values: 99-
Summary Statistics: Valid 813 ;
Variable Format: numeric
Q56. Partner: Occupation - socio-economic classification
Spouse's/partner's occupation - socio-economic classification. If he/she is retired or not working at present, specify his/her latest occupation.
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Unskilled employees in goods production |
46 |
|
12. |
Unskilled employees in service production |
131 |
|
21. |
Skilled employees in goods production |
62 |
|
22. |
Skilled employees in service production |
48 |
|
36. |
Assistant non-manual employees |
91 |
|
46. |
Intermediate non-manual employees |
185 |
|
56. |
Professionals and other higher non-manual employees |
104 |
|
57. |
Upper-level executives |
21 |
|
79. |
Entrepreneurs |
99 |
|
89. |
Farmers |
8 |
|
99. |
INAP/NA |
342 |
Range of Valid Data Values: 11-89
Range of Invalid Data Values: 99
Summary Statistics: Valid 795 ;
Variable Format: numeric
Q57_1. Partner: Occupation, SSYK code pos. 1
Partner: Occupation, SSYK code (Swedish Standard Classification of Occupations) pos. 1
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Managers and senior officials |
78 |
|
2. |
Professional |
164 |
|
3. |
Technicians and associate professionals |
148 |
|
4. |
Office- and customer service work |
59 |
|
5. |
Service workers and shop sales workers |
128 |
|
6. |
Skilled agricultural and fishery workers |
13 |
|
7. |
Craft and related trades workers |
76 |
|
8. |
Plant and machine operators and assemblers |
86 |
|
9. |
Elementary occupations |
29 |
|
11. |
Armed forces |
4 |
|
99. |
INAP/NA |
352 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 99
Summary Statistics: Valid 785 ;
Variable Format: numeric
Q57_2. Partner: Occupation, SSYK code pos. 1-2
Partner: Occupation, SSYK code (Swedish Standard Classification of Occupations) pos. 1-2
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Armed forces |
4 |
|
11. |
Legislators and senior officials |
2 |
|
12. |
Corporate managers |
32 |
|
13. |
Managers of small enterprises |
44 |
|
21. |
Physical, mathematical and engineering science professionals |
32 |
|
22. |
Life science and health professionals |
27 |
|
23. |
Teaching professionals |
50 |
|
24. |
Other professionals |
55 |
|
31. |
Physical and engineering science associate professionals |
45 |
|
32. |
Life science and health associate professionals |
17 |
|
33. |
Teaching associate professionals |
20 |
|
34. |
Other associate professionals |
66 |
|
41. |
Office clerks |
46 |
|
42. |
Customer services clerks |
13 |
|
51. |
Personal and protective service workers |
92 |
|
52. |
Models, salespersons and demonstrators |
36 |
|
61. |
Skilled agricultural and fishery workers |
13 |
|
71. |
Extraction and building trades workers |
32 |
|
72. |
Metal, machinery and related trades workers |
32 |
|
73. |
Precision, handicraft, craft printing and related trades workers |
4 |
|
74. |
Other craft and related trades workers |
8 |
|
81. |
Stationary-plant and related operators |
9 |
|
82. |
Machine operators and assemblers |
37 |
|
83. |
Drivers and mobile-plant operators |
40 |
|
91. |
Sales and services elementary occupations |
27 |
|
92. |
Agricultural, fishery and related labourers |
1 |
|
93. |
Labourers in mining, construction, manufacturing and transport |
1 |
|
99. |
INAP/NA |
352 |
Range of Valid Data Values: 1-93
Range of Invalid Data Values: 99
Summary Statistics: Valid 785 ; Min. 1 ; Max. 93
Variable Format: numeric
Q57_3. Partner: Occupation, SSYK code pos. 1-3
Partner: Occupation, SSYK code (Swedish Standard Classification of Occupations) pos. 1-3
Value |
Label |
Frequency |
|
|---|---|---|---|
11. |
Armed forces |
4 |
|
111. |
Legislators and senior governmnet officials |
2 |
|
121. |
Directors and chief executives |
3 |
|
122. |
Production and operations managers |
17 |
|
123. |
Other specialist managers |
12 |
|
131. |
Managers of small enterprises |
44 |
|
211. |
Phycisists, chemists and related professionals |
2 |
|
212. |
Mathematicians and statisticians |
1 |
|
213. |
Computing professionals |
18 |
|
214. |
Architects, engineers and related professionals |
11 |
|
221. |
Life science professionals |
4 |
|
222. |
Health professionals (except nursing) |
9 |
|
223. |
Nursing and midwifery professionals |
14 |
|
231. |
College, university and higher education teaching professionals |
9 |
|
232. |
Secondary education teaching professionals |
14 |
|
233. |
Primary education teaching professionals |
19 |
|
234. |
Special education teaching professionals |
3 |
|
235. |
Other teaching professionals |
5 |
|
241. |
Business professionals |
29 |
|
242. |
Legal professionals |
1 |
|
243. |
Archivists, librarians and related information professionals |
1 |
|
245. |
Writers and creative or performing artists |
5 |
|
246. |
Religious professionals |
3 |
|
247. |
Public service administrative professionals |
4 |
|
248. |
Administrative professionals of special-interest organisations |
3 |
|
249. |
Psychologists, social work and related professionals |
9 |
|
311. |
Physical and engineering science technicians |
33 |
|
312. |
Computer associate professionals |
5 |
|
313. |
Optical and electronic equipment operators |
2 |
|
314. |
Ship and aircraft controllers and technicians |
4 |
|
315. |
Safety and quality inspectors |
1 |
|
321. |
Agronomy and forestry technicians |
2 |
|
322. |
Health associate professionals (except nursing) |
4 |
|
323. |
Nursing associate professionals |
9 |
|
324. |
Life science technicians |
2 |
|
331. |
Pre-primary education teaching associate professionals |
18 |
|
332. |
Other teaching associate professionals |
2 |
|
341. |
Finance and sales associate professionals |
28 |
|
342. |
Business services agents and trade brokers |
4 |
|
343. |
Administrative associate professionals |
20 |
|
344. |
Customs, tax and related government associate professionals |
5 |
|
345. |
Police officers and detectives |
1 |
|
346. |
Social work associate professionals |
5 |
|
347. |
Artistic, entertainment and sports associate professionals |
3 |
|
411. |
Office secretaries and data entry operators |
4 |
|
412. |
Numerical clerks |
8 |
|
413. |
Stores and transport clerks |
11 |
|
414. |
Library and filing clerks |
3 |
|
415. |
Mail carriers and sporting clerks |
5 |
|
419. |
Other office clerks |
15 |
|
421. |
Cashiers, tellers and related clerks |
5 |
|
422. |
Client information clerks |
8 |
|
511. |
Travel attendants and related workers |
2 |
|
512. |
Housekeeping and restaurant service workers |
5 |
|
513. |
Personal care and related workers |
75 |
|
514. |
Other personal services workers |
7 |
|
515. |
Protective services workers |
3 |
|
522. |
Shop and stall salespersons and demonstrators |
36 |
|
611. |
Market gardeners and crop growers |
2 |
|
612. |
Animal producers and related workers |
3 |
|
613. |
Crop and animal producers |
3 |
|
614. |
Forestry and related workers |
5 |
|
712. |
Building frame and related trades workers |
13 |
|
713. |
Building finishers and related trades workers |
13 |
|
714. |
Painters, building structure cleaners and related trades workers |
6 |
|
721. |
Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trade workers |
11 |
|
722. |
Blacksmitshs, tool-makers and related trades workers |
2 |
|
723. |
Machinery mechanics and fitters |
12 |
|
724. |
Electrical and electronic equipment mechanics and fitters |
7 |
|
731. |
Precision workers in metal and related materials |
1 |
|
733. |
Handicraft workers in wood, textile, leather and related materials |
2 |
|
734. |
Craft printing and related trades workers |
1 |
|
741. |
Food processing and related trades workers |
4 |
|
742. |
Wood treaters, cabinet-makers and related trades workers |
1 |
|
743. |
Garment and related trades workers |
1 |
|
744. |
Pelt, leather and shoemaking trades workers |
2 |
|
812. |
Metal-processing-plant operators |
2 |
|
814. |
Wood-processing- and papermaking-plant operators |
5 |
|
816. |
Power-production and related plant operators |
2 |
|
821. |
Metal- and mineral-products machine operators |
12 |
|
822. |
Chemical-products machine operators |
1 |
|
823. |
Rubber- and plaxtic-products machine operators |
4 |
|
824. |
Wood-products machine operators |
1 |
|
825. |
Printing-, binding- and paper-products machine operators |
2 |
|
826. |
Textile-, fur- and leather-products machine operators |
3 |
|
827. |
Food and related products machine operators |
2 |
|
828. |
Assemblers |
11 |
|
829. |
Other machine operators and assemblers |
1 |
|
831. |
Locomotive-engine drivers and related workers |
1 |
|
832. |
Motor-vehicle drivers |
26 |
|
833. |
Agricultural and other mobile-plant operators |
11 |
|
834. |
ships' deck crew and related workers |
2 |
|
912. |
Helpers and cleaners |
14 |
|
913. |
Helpers in reataurant |
10 |
|
914. |
Doorkeepers, newspaper and package deliverers and related workers |
2 |
|
919. |
Other sales and services elementary occupations |
1 |
|
921. |
Agricultural, fishery and related labourers |
1 |
|
933. |
Transport labourers and freight handlers |
1 |
|
999. |
INAP/NA |
352 |
Range of Valid Data Values: 11-933
Range of Invalid Data Values: 999
Summary Statistics: Valid 785 ;
Variable Format: numeric
Q57_4. Partner: Occupation, SSYK code pos. 1-4
Partner: Occupation, (Swedish Standard Classification of Occupations) SSYK-code pos. 1-4
Value |
Label |
Frequency |
|
|---|---|---|---|
110. |
Armed forces |
4 |
|
1110. |
Legislators and senior governmnet officials |
2 |
|
1210. |
Directors and chief executives |
3 |
|
1222. |
Production and operations managers in manufacturing |
2 |
|
1223. |
Production and operations manager in manufacturing |
2 |
|
1224. |
Production and operations managers in wholesale and retail trade, hotels and restaurants, transport and communincations |
3 |
|
1225. |
Production and operations managers in business services enterprices |
2 |
|
1226. |
Production and operations managers in public administration |
3 |
|
1227. |
Production and operations managers in education |
1 |
|
1228. |
Production and operations managers in health and social work |
4 |
|
1231. |
Finance and administration managers |
3 |
|
1232. |
Personell and industrial relations managers |
2 |
|
1233. |
Sales and marketing managers |
3 |
|
1235. |
Supply and distribution managerrs |
1 |
|
1236. |
Computing services managers |
1 |
|
1237. |
Research and development managers |
2 |
|
1312. |
Managers of small enterprises in manufacturing |
6 |
|
1313. |
Managers of small enterprises in construction |
5 |
|
1314. |
Managers of small enterprises in wholesale and retail trade, hotels and restaurants, transport and communications |
19 |
|
1315. |
Managers of small enterprises in business services enterprises |
1 |
|
1317. |
Managers of small enterprises in education |
1 |
|
1318. |
Managers of small enterprises in health and social work |
1 |
|
1319. |
Managers of small enterprises not elsewhere classified |
11 |
|
2112. |
Meteorologists |
1 |
|
2113. |
Chemists |
1 |
|
2121. |
Mathematicians |
1 |
|
2131. |
Computer system designers, analysts and programmers |
15 |
|
2139. |
Computing professionals not elsewhere classified |
3 |
|
2141. |
Architects, town and traffic planners |
2 |
|
2142. |
Civil engineers |
1 |
|
2145. |
Mechanical engineers |
4 |
|
2149. |
Engineers not elsewhere classified |
4 |
|
2212. |
Pharmacologists and related professionals |
2 |
|
2213. |
Agronomics and horticulturists |
2 |
|
2221. |
Medical doctors |
9 |
|
2231. |
Midwives |
2 |
|
2232. |
Head nurses |
1 |
|
2233. |
Emergency room nurses |
5 |
|
2234. |
Paediatric nurses |
1 |
|
2235. |
District nurses |
5 |
|
2310. |
College university and higher education teaching professionals |
9 |
|
2321. |
Teaching professionals, academic subjects |
6 |
|
2322. |
Vocational teaching professionals |
2 |
|
2323. |
Teaching professionals, artistic and practical subjects |
6 |
|
2330. |
Primary education teaching professionals |
19 |
|
2340. |
Special education teaching professionals |
3 |
|
2351. |
Education methods specialists and related professionals |
2 |
|
2359. |
Teaching professionals not elsewhere classified |
3 |
|
2411. |
Accountants |
5 |
|
2412. |
Personnel and careers professionals |
8 |
|
2413. |
Market research analysts and related professionals |
5 |
|
2414. |
Organisational analysts |
6 |
|
2419. |
Business professionals not elsewhere classified |
5 |
|
2423. |
Corporate legal officers |
1 |
|
2432. |
Librarians and related informatin professionals |
1 |
|
2451. |
Authors, journalists and related professionals |
1 |
|
2453. |
Composers, musicians and singers |
1 |
|
2456. |
Designers |
3 |
|
2460. |
Religious professionals |
3 |
|
2470. |
Public service administrative professionals |
4 |
|
2480. |
Administrative professional of special-interest organisations |
3 |
|
2491. |
Psychologists and related professionals |
4 |
|
2492. |
Social work professionals |
5 |
|
3111. |
Chemical and physical science technicians |
2 |
|
3112. |
Civil engineering technicians |
9 |
|
3113. |
Electrical engineering technicians |
2 |
|
3114. |
Electronics and telecommunications engineering technicians |
2 |
|
3115. |
Mechanical engineering technicians |
11 |
|
3116. |
Chemical engineering technicians |
1 |
|
3118. |
Draughtspersons |
2 |
|
3119. |
Physical and engineering science technicians not elsewhere classified |
4 |
|
3121. |
Computer assistants |
5 |
|
3131. |
Photographers |
1 |
|
3133. |
Broadcasting and telecommunications equipment operators |
1 |
|
3141. |
Ships' engineers |
1 |
|
3142. |
Ships' deck officers and pilots |
2 |
|
3143. |
Aircraft pilots and related associate professionals |
1 |
|
3152. |
Safety, health and quality inspectors |
1 |
|
3212. |
Foresty technicians |
2 |
|
3222. |
Hygienists, health and enviromental officers |
3 |
|
3223. |
Dieticians |
1 |
|
3232. |
Operating theatre nurses |
1 |
|
3239. |
Nursing associate professionals not elsewhere classified |
8 |
|
3240. |
Life science technicians |
2 |
|
3310. |
Pre-primary educatin teaching associate professionals |
18 |
|
3320. |
Other teaching associate professionals |
2 |
|
3412. |
Insurance representatives |
2 |
|
3413. |
Estate agents |
1 |
|
3415. |
Technical and commercial sales representatives |
12 |
|
3416. |
Buyers |
5 |
|
3418. |
Banking associate professionals |
5 |
|
3419. |
Finance and sales associate professionals not elsewhere classified |
3 |
|
3422. |
Legal professionals not elsewhere classified |
2 |
|
3423. |
Employment agents and labour contractors |
1 |
|
3429. |
Business services agents and trade brokers not elsewhere classified |
1 |
|
3431. |
Administrative secretaries and related associate professionals |
15 |
|
3432. |
Legal and related business associate professionals |
1 |
|
3433. |
Bookkeepers |
4 |
|
3443. |
Government social benefits officials |
5 |
|
3450. |
Police officers and detectives |
1 |
|
3461. |
Social workers and associate professionals |
2 |
|
3462. |
Recreation officers and related associate professionals |
3 |
|
3471. |
Decorators and commercial designers |
2 |
|
3475. |
Athletes, sportspersons and related associate professionals |
1 |
|
4112. |
Office secretaries |
4 |
|
4120. |
Numerical clerks |
8 |
|
4131. |
Stock clerks and storekeepers |
9 |
|
4132. |
Transport clerks |
2 |
|
4140. |
Library and filing clerks |
3 |
|
4150. |
Mail carriers and sorting clerks |
5 |
|
4190. |
Other office clerks |
15 |
|
4211. |
Cashiers and ticket clerks |
3 |
|
4212. |
Tellers and other counter clerks |
2 |
|
4222. |
Receptionists |
4 |
|
4223. |
Telephone switchboard operators |
3 |
|
4224. |
Transport informant clerks |
1 |
|
5112. |
Transport conductors |
2 |
|
5122. |
Cooks |
3 |
|
5123. |
Waiters, waitresses and bartenders |
2 |
|
5131. |
Child-care workers |
12 |
|
5132. |
Assistant nurses and hospital ward assistants |
22 |
|
5133. |
Home-based personal care and related workers |
28 |
|
5134. |
Attendants, psychiatric care |
3 |
|
5135. |
Dental nurses |
7 |
|
5139. |
Personal care and related workers not elsewhere classified |
3 |
|
5141. |
Hairdressers, barbers, beauticians and related workers |
7 |
|
5152. |
Security guards and patrolmen |
2 |
|
5153. |
Prison guards |
1 |
|
5221. |
Shop salespersons, food stores |
15 |
|
5222. |
Shop salespersons, non-food stores |
20 |
|
5225. |
Salesperson, petrol station |
1 |
|
6111. |
Field crop and vegetable growers |
1 |
|
6113. |
Gardeners, parks and grounds |
1 |
|
6121. |
Dairy and livestock producers |
3 |
|
6130. |
Crop and animal producers |
3 |
|
6140. |
Forestry and related workers |
5 |
|
7123. |
Carpenters and joiners |
6 |
|
7124. |
Rail and road construction workers |
3 |
|
7129. |
Building frame and related trades workers not elsewhere classified |
4 |
|
7132. |
Floor layers |
1 |
|
7135. |
Plumbers |
2 |
|
7136. |
Building and related electricians |
4 |
|
7137. |
Building caretakers |
6 |
|
7141. |
Painters and related workers |
3 |
|
7143. |
Building structure cleaners |
3 |
|
7210. |
Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trades workers |
1 |
|
7212. |
Welders and flame cutters |
4 |
|
7213. |
Sheet-metal workers |
5 |
|
7214. |
Structural-metal prepares and erectors |
1 |
|
7222. |
Tool-makers and related workers |
2 |
|
7231. |
Motor vehicle mechanics and fitters |
6 |
|
7232. |
Aircraft engine mechanics and fitters |
1 |
|
7233. |
Agricultural- or industrial-machinery mechanics and fitters |
5 |
|
7241. |
Electrical mechanics fitters and servicers |
1 |
|
7242. |
Electronics mechanics fitters and servicers |
6 |
|
7313. |
Jewellery and precious-metal workers |
1 |
|
7330. |
Handicraft workers in wood, textile, leather and related materials |
2 |
|
7341. |
Compositors, desktop operators and related workers |
1 |
|
7411. |
Butchers, fishmongers and related food preparers |
2 |
|
7412. |
Bakers, pastry-cooks and confectionery makers |
2 |
|
7421. |
Cabinet-makers and related workers |
1 |
|
7435. |
Upholsterers and related workers |
1 |
|
7441. |
Pelt dressers, tanners and fellmongers |
1 |
|
7442. |
Shoe-makers and related workers |
1 |
|
8121. |
Ore and metal furnace operators |
1 |
|
8122. |
Metal melters and rolling-mill operators |
1 |
|
8141. |
Wood-processing-plant operators |
1 |
|
8144. |
Papermaking-plant operators |
4 |
|
8160. |
Power-production and related plant operators |
2 |
|
8211. |
Machine-tool operators |
12 |
|
8221. |
Pharmaceutical- and toiletry-products machine operators |
1 |
|
8231. |
Rubber-products machine operators |
1 |
|
8232. |
Plastic-products machine operators |
3 |
|
8240. |
Wood-products machine operators |
1 |
|
8251. |
Printing-machine opeartors |
1 |
|
8252. |
Bookbinding-machine operators |
1 |
|
8263. |
Sewing-machine operators |
1 |
|
8264. |
Bleaching-, dyeing- and cleaning-machine operators |
1 |
|
8269. |
Textile-, fur and leather-products machine operators not elsewhere classified |
1 |
|
8277. |
Tea-, coffee- and cocoa-processing-machine operators |
2 |
|
8281. |
mechanical-machinery assemblers |
6 |
|
8282. |
Electrical- and electronic-equipment assemblers |
2 |
|
8283. |
Metal-, rubber- and plastic-products assembler |
3 |
|
8290. |
Other machine operators and assemblers |
1 |
|
8311. |
Locomotive-engine drivers |
1 |
|
8321. |
Car, taxi and van drivers |
8 |
|
8322. |
Bus and tram drivers |
6 |
|
8323. |
Heavy truck and lorry drivers |
12 |
|
8331. |
Motorised farm and forestry plant operators |
1 |
|
8332. |
Earth-moving- and related plant operators |
2 |
|
8333. |
Crane, hoist and related plant operators |
1 |
|
8334. |
Lifting-truck operators |
7 |
|
8340. |
Ships' deck crews and related workers |
2 |
|
9122. |
Helpers and cleaners in offices, hotels and other establishments |
14 |
|
9130. |
Helpers in restaurants |
10 |
|
9142. |
Doorkeepers and related workers |
2 |
|
9190. |
Other sales and services elementary occupations |
1 |
|
9210. |
Agricultural, fishery and related labourers |
1 |
|
9330. |
Transport labourers and freight handlers |
1 |
|
9999. |
INAP/NA |
352 |
Range of Valid Data Values: 110-9330
Range of Invalid Data Values: 9999
Summary Statistics: Valid 785 ;
Variable Format: numeric
Q58_1. Partner: Employee or self-employed
Are your (were your) spouse/partner an employee or self-employed?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Self-employed, no employees |
61 |
|
2. |
Self-employed, with employees |
46 |
|
3. |
Employee |
703 |
|
4. |
Never worked |
15 |
|
9. |
NA |
312 |
Range of Valid Data Values: 1-4
Range of Invalid Data Values: 9
Summary Statistics: Valid 825 ;
Variable Format: numeric
Q58_2. Partner: Number of employees
How many employees?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1 employee |
5 |
|
2. |
2 employees |
8 |
|
3. |
3 employees |
2 |
|
4. |
4 employees |
6 |
|
6. |
6 employees |
1 |
|
8. |
8 employees |
4 |
|
9. |
9 employees |
1 |
|
10. |
10 employees |
4 |
|
15. |
15 employees |
3 |
|
16. |
16 employees |
1 |
|
17. |
17 employees |
1 |
|
24. |
24 employees |
1 |
|
25. |
25 employees |
1 |
|
60. |
60 employees |
1 |
|
200. |
200 employees |
1 |
|
999. |
INAP/NA |
1097 |
Range of Valid Data Values: 1-200
Range of Invalid Data Values: 999
Summary Statistics: Valid 40 ;
Variable Format: numeric
Q59. Partner: Supervises other
Does (did) your spouse/partner supervise the work of other employees?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
275 |
|
2. |
No |
540 |
|
3. |
Never worked |
11 |
|
9. |
NA |
311 |
Range of Valid Data Values: 1-3
Range of Invalid Data Values: 9
Summary Statistics: Valid 826 ;
Variable Format: numeric
Q60. Partner: Private or public sector
Does (did) your spouse/partner mainly work in the private or public sector?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Arbetar i offentlig tjänst |
266 |
|
2. |
Arbetar i statligt företag |
77 |
|
3. |
arbetar privat (inkl facklig organisation, kooperativ eller |
458 |
|
4. |
Har aldrig förvärvsarbetat |
15 |
|
9. |
Frågan ej tillämplig/Uppgift saknas |
321 |
Range of Valid Data Values: 1-4
Range of Invalid Data Values: 9
Summary Statistics: Valid 816 ;
Variable Format: numeric
What is your spouse/partners highest educational qualification?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Primary or comprehensive school |
153 |
|
2. |
Vocational school (1972-92) |
104 |
|
3. |
Vocational school (post 1992) |
25 |
|
4. |
Vocational school (pre 1972) |
65 |
|
5. |
Alternative secondary school |
23 |
|
6. |
Realskola |
30 |
|
7. |
3 or 4 year gymnasium (academic track) |
101 |
|
8. |
Gymansium (academic track post 1992) |
11 |
|
9. |
Studentexamen |
39 |
|
10. |
University studies without degree |
53 |
|
11. |
University degree |
219 |
|
99. |
INAP/NA |
314 |
Range of Valid Data Values: 1-11
Range of Invalid Data Values: 99
Summary Statistics: Valid 823 ;
Variable Format: numeric
What is your household's approximate income per month before taxes?
Value in thousands of crowns.
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
2 |
||
2. |
3 |
||
3. |
2 |
||
4. |
2 |
||
6. |
4 |
||
7. |
13 |
||
8. |
8 |
||
9. |
4 |
||
10. |
21 |
||
11. |
6 |
||
12. |
15 |
||
13. |
9 |
||
14. |
15 |
||
15. |
12 |
||
16. |
16 |
||
17. |
8 |
||
18. |
16 |
||
19. |
12 |
||
20. |
33 |
||
21. |
20 |
||
22. |
24 |
||
23. |
14 |
||
24. |
8 |
||
25. |
23 |
||
26. |
13 |
||
27. |
9 |
||
28. |
12 |
||
29. |
8 |
||
30. |
51 |
||
31. |
6 |
||
32. |
15 |
||
33. |
5 |
||
34. |
6 |
||
35. |
32 |
||
36. |
10 |
||
37. |
12 |
||
38. |
13 |
||
39. |
5 |
||
40. |
55 |
||
41. |
8 |
||
42. |
16 |
||
43. |
11 |
||
44. |
11 |
||
45. |
53 |
||
46. |
4 |
||
47. |
18 |
||
48. |
19 |
||
49. |
5 |
||
50. |
67 |
||
51. |
5 |
||
52. |
9 |
||
53. |
8 |
||
54. |
4 |
||
55. |
23 |
||
56. |
6 |
||
57. |
6 |
||
58. |
3 |
||
59. |
2 |
||
60. |
37 |
||
61. |
1 |
||
62. |
6 |
||
63. |
4 |
||
64. |
4 |
||
65. |
15 |
||
66. |
2 |
||
67. |
4 |
||
68. |
3 |
||
69. |
1 |
||
70. |
21 |
||
71. |
2 |
||
72. |
5 |
||
73. |
4 |
||
74. |
2 |
||
75. |
6 |
||
76. |
2 |
||
77. |
4 |
||
78. |
7 |
||
79. |
1 |
||
80. |
19 |
||
82. |
1 |
||
85. |
5 |
||
86. |
2 |
||
90. |
7 |
||
94. |
1 |
||
100. |
13 |
||
102. |
1 |
||
110. |
4 |
||
115. |
3 |
||
124. |
1 |
||
125. |
2 |
||
145. |
1 |
||
165. |
1 |
||
240. |
1 |
||
999. |
NA |
124 |
Range of Valid Data Values: 1-240
Range of Invalid Data Values: 999
Summary Statistics: Valid 1013 ;
Variable Format: numeric
How many people does your household consist of? (Including yourself)
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
1 person |
204 |
|
2. |
2 persons |
483 |
|
3. |
3 persons |
149 |
|
4. |
4 persons |
193 |
|
5. |
5 persons |
62 |
|
6. |
6 persons |
17 |
|
7. |
7 persons |
6 |
|
8. |
8 persons or more |
1 |
|
9. |
NA |
22 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1115 ;
Variable Format: numeric
Q64. Number of children between 7 and 17 years in household
How many people in your household are between 7 and 17 years old?
Value |
Label |
Frequency |
|
|---|---|---|---|
0. |
None |
789 |
|
1. |
1 person |
133 |
|
2. |
2 persons |
120 |
|
3. |
3 persons |
29 |
|
4. |
4 persons |
4 |
|
5. |
5 persons |
2 |
|
9. |
NA |
60 |
Range of Valid Data Values: 0-5
Range of Invalid Data Values: 9
Summary Statistics: Valid 1077 ;
Variable Format: numeric
Q65. Number of children under 7 years in household
How many people in your household are under 7 years ol
Value |
Label |
Frequency |
|
|---|---|---|---|
0. |
None |
894 |
|
1. |
1 person |
104 |
|
2. |
2 persons |
65 |
|
3. |
3 persons |
1 |
|
9. |
NA |
73 |
Range of Valid Data Values: 0-3
Range of Invalid Data Values: 9
Summary Statistics: Valid 1064 ;
Variable Format: numeric
Which political party do you most agree with?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Centerpartiet (Centre Party) |
67 |
|
2. |
Folkpartiet liberalerna (Peoples Party the Liberals) |
76 |
|
3. |
Kristdemokraterna (Christian Democrats) |
21 |
|
4. |
Miljöpartiet - de gröna (Green Party) |
65 |
|
5. |
Moderata samlingspartiet (Conservative Party) |
282 |
|
6. |
Socialdemokratiska arbetarpartiet (Social Democrats) |
369 |
|
7. |
Vänsterpartiet (Left Party) |
37 |
|
8. |
Other |
65 |
|
9. |
NA |
155 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 982 ;
Variable Format: numeric
Q67. Vote in last general election
Did you vote in the last general election?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
949 |
|
2. |
No |
171 |
|
9. |
NA |
17 |
Range of Valid Data Values: 1-2
Range of Invalid Data Values: 9
Summary Statistics: Valid 1120 ;
Variable Format: numeric
Sometimes people say that there are different social groups or social classes. If you would attribute yourself to a social class, which one of the following would it be?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Lower class |
16 |
|
2. |
Working class |
269 |
|
3. |
Lower middle class |
135 |
|
4. |
Middle class |
544 |
|
5. |
Upper middle class |
144 |
|
8. |
Upper class |
11 |
|
9. |
NA |
18 |
Range of Valid Data Values: 1-8
Range of Invalid Data Values: 9
Summary Statistics: Valid 1119 ;
Variable Format: numeric
Q69. Possesion of immediate family
The next few questions are about things you and your immediate family own.
About how much money would be left if the home or apartment you and/or your immediate family live in was sold, any debts on it, such as mortgage or personal loan, would have been paid off? Please give your best estimate. (Tick one box.)
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Just debt |
23 |
|
2. |
I/we do not own a home |
242 |
|
3. |
1 - 300 000 Swedish crowns |
167 |
|
4. |
300 000 - 600 000 Swedish crowns |
145 |
|
5. |
600 000 - 900 000 Swedish crowns |
91 |
|
6. |
900 000 - 1,2 million Swedish crowns |
79 |
|
7. |
1,2 million - 2 million Swedish crowns |
61 |
|
8. |
1,6 million - 2 million Swedish crowns |
55 |
|
9. |
2 million - 4 million Swedish crowns |
69 |
|
10. |
4 million - 7 million Swedish crowns |
22 |
|
11. |
7 million - 10 million Swedish crowns |
4 |
|
12. |
More than 10 million Swedish crowns |
6 |
|
97. |
Don't know |
149 |
|
99. |
NA |
24 |
Range of Valid Data Values: 1-97
Range of Invalid Data Values: 99
Summary Statistics: Valid 1113 ;
Variable Format: numeric
About how much money would be left if you and/or your immediate family converted to cash all savings, stocks, or bonds you own, and then paid off any personal debts you have (not including any home loan)? Please give your best estimate. (Tick only one box.)
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Just debt |
109 |
|
2. |
Nothing |
75 |
|
3. |
1 - 40 000 Swedish crowns |
95 |
|
4. |
40 000 - 100 000 Swedish crowns |
131 |
|
5. |
100 000 - 175 000 Swedish crowns |
92 |
|
6. |
175 000 - 250 000 Swedish crowns |
50 |
|
7. |
250 000 - 350 000 Swedish crowns |
54 |
|
8. |
350 000 - 500 000 Swedish crowns |
60 |
|
9. |
500 000 - 800 000 Swedish crowns |
60 |
|
10. |
800 000 Swedish crowns- 1,8 miljoner Swedish crowns |
74 |
|
11. |
1,8 - 3 million Swedish crowns |
27 |
|
12. |
More than 3 million Swedish crowns |
36 |
|
97. |
Don't know |
236 |
|
99. |
NA |
38 |
Range of Valid Data Values: 1-97
Range of Invalid Data Values: 99
Summary Statistics: Valid 1099 ;
Variable Format: numeric
Q71. Parents citizens of Sweden
Were both of your parents citizens of Sweden at the time of your birth?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
933 |
|
2. |
No, only one parent was a citizen of Sweden |
48 |
|
3. |
No, neither parent was a citizen of Sweden |
144 |
|
9. |
NA |
12 |
Range of Valid Data Values: 1-3
Range of Invalid Data Values: 9
Summary Statistics: Valid 1125 ;
Variable Format: numeric
Q72. Church or religious group belonging
Do you belong to any church or religious group?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Yes |
748 |
|
2. |
No |
366 |
|
9. |
NA |
23 |
Range of Valid Data Values: 1-2
Range of Invalid Data Values: 9
Summary Statistics: Valid 1114 ;
Variable Format: numeric
Which church or religious group?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Church of Sweden |
705 |
|
2. |
Catholic church |
14 |
|
3. |
Orthodox church |
17 |
|
4. |
Christian free church |
20 |
|
5. |
Other Christian association |
7 |
|
6. |
Jewish congregation |
2 |
|
7. |
Islamic congregation |
11 |
|
8. |
Buddhist association |
1 |
|
10. |
Other religions |
11 |
|
97. |
Don't know |
16 |
|
99. |
INAP |
333 |
Range of Valid Data Values: 1-97
Range of Invalid Data Values: 99
Summary Statistics: Valid 804 ;
Variable Format: numeric
Q74. Frequency of religious attendance
How often do you attend church or other religious meetings?
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Several times a week |
15 |
|
2. |
Once a week |
26 |
|
3. |
2-3 times a month |
21 |
|
4. |
Once a month |
25 |
|
5. |
Several times a year |
181 |
|
6. |
Once a year |
197 |
|
7. |
Less than once a year |
292 |
|
8. |
Never |
345 |
|
97. |
Don't know |
20 |
|
99. |
NA |
15 |
Range of Valid Data Values: 1-97
Range of Invalid Data Values: 99
Summary Statistics: Valid 1122 ;
Variable Format: numeric
Would you describe the place where you live as ...
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
An urban/big city |
257 |
|
2. |
A suburb/outskirt of a big city |
215 |
|
3. |
A town or small city |
278 |
|
4. |
A country village |
272 |
|
5. |
A farm or home in the country |
103 |
|
9. |
NA |
12 |
Range of Valid Data Values: 1-5
Range of Invalid Data Values: 9
Summary Statistics: Valid 1125 ;
Variable Format: numeric
How old are you?
Value |
Label |
Frequency |
|
|---|---|---|---|
17. |
17 |
6 |
|
18. |
18 |
20 |
|
19. |
19 |
15 |
|
20. |
20 |
16 |
|
21. |
21 |
11 |
|
22. |
22 |
12 |
|
23. |
23 |
16 |
|
24. |
24 |
15 |
|
25. |
25 |
10 |
|
26. |
26 |
14 |
|
27. |
27 |
13 |
|
28. |
28 |
10 |
|
29. |
29 |
15 |
|
30. |
30 |
21 |
|
31. |
31 |
16 |
|
32. |
32 |
16 |
|
33. |
33 |
26 |
|
34. |
34 |
20 |
|
35. |
35 |
20 |
|
36. |
36 |
15 |
|
37. |
37 |
21 |
|
38. |
38 |
17 |
|
39. |
39 |
17 |
|
40. |
40 |
19 |
|
41. |
41 |
19 |
|
42. |
42 |
26 |
|
43. |
43 |
18 |
|
44. |
44 |
20 |
|
45. |
45 |
24 |
|
46. |
46 |
25 |
|
47. |
47 |
19 |
|
48. |
48 |
21 |
|
49. |
49 |
20 |
|
50. |
50 |
28 |
|
51. |
51 |
24 |
|
52. |
52 |
15 |
|
53. |
53 |
24 |
|
54. |
54 |
18 |
|
55. |
55 |
16 |
|
56. |
56 |
21 |
|
57. |
57 |
24 |
|
58. |
58 |
28 |
|
59. |
59 |
19 |
|
60. |
60 |
23 |
|
61. |
61 |
27 |
|
62. |
62 |
20 |
|
63. |
63 |
25 |
|
64. |
64 |
28 |
|
65. |
65 |
27 |
|
66. |
66 |
22 |
|
67. |
67 |
21 |
|
68. |
68 |
19 |
|
69. |
69 |
15 |
|
70. |
70 |
20 |
|
71. |
71 |
22 |
|
72. |
72 |
7 |
|
73. |
73 |
10 |
|
74. |
74 |
12 |
|
75. |
75 |
14 |
|
76. |
76 |
11 |
|
77. |
77 |
12 |
|
78. |
78 |
6 |
|
79. |
79 |
6 |
Range of Valid Data Values: 17-79
Summary Statistics: Valid 1137 ;
Variable Format: numeric
Administrative provinces ("län" approximative to English "county")
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Stockholms län |
224 |
|
3. |
Uppsala län |
48 |
|
4. |
Södermanlands län |
32 |
|
5. |
Östergötlands län |
53 |
|
6. |
Jönköpings län |
50 |
|
7. |
Kronobergs län |
19 |
|
8. |
Kalmar län |
24 |
|
9. |
Gotlands län |
4 |
|
10. |
Blekinge län |
16 |
|
12. |
Skåne län |
155 |
|
13. |
Hallands län |
41 |
|
14. |
Västra Götalands län |
194 |
|
17. |
Värmlands län |
42 |
|
18. |
Örebro län |
32 |
|
19. |
Västmanlands län |
28 |
|
20. |
Dalarna län |
36 |
|
21. |
Gävleborgs län |
34 |
|
22. |
Västernorrlands län |
34 |
|
23. |
Jämtlands län |
14 |
|
24. |
Västerbottens län |
23 |
|
25. |
Norrbottens län |
34 |
Range of Valid Data Values: 1-25
Summary Statistics: Valid 1137 ;
Variable Format: numeric
Sex
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Man |
543 |
|
2. |
Woman |
594 |
Range of Valid Data Values: 1-2
Summary Statistics: Valid 1137 ;
Variable Format: numeric
A-region
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Stockholm/Södertälje |
213 |
|
2. |
Norrtälje |
11 |
|
3. |
Enköping |
8 |
|
4. |
Uppsala |
31 |
|
5. |
Nyköping |
10 |
|
6. |
Katrineholm |
7 |
|
7. |
Eskilstuna |
15 |
|
8. |
Mjölby/Motala |
9 |
|
9. |
Linköping |
20 |
|
10. |
Norrköping |
23 |
|
11. |
Jönköping |
23 |
|
12. |
Tranås |
3 |
|
13. |
Eksjö/Nässjö/Vetlanda |
15 |
|
14. |
Värnamo |
10 |
|
15. |
Ljungby |
3 |
|
16. |
Växjö |
16 |
|
17. |
Västervik |
2 |
|
18. |
Hultsfred/Vimmerby |
4 |
|
19. |
Oskarshamn |
3 |
|
20. |
Kalmar/Nybro |
15 |
|
21. |
Visby |
4 |
|
22. |
Karlskrona |
9 |
|
23. |
Karlshamn |
7 |
|
24. |
Kristianstad |
11 |
|
25. |
Hässleholm |
11 |
|
26. |
Ängelholm |
9 |
|
27. |
Helsingborg/Landskrona |
38 |
|
28. |
Malmö/Lund/Trelleborg |
71 |
|
29. |
Ystad/Simrishamn |
11 |
|
30. |
Eslöv |
4 |
|
31. |
Halmstad |
15 |
|
32. |
Falkenberg/Varberg |
15 |
|
33. |
Göteborg |
93 |
|
34. |
Uddevalla |
22 |
|
35. |
Trollhättan/Vänersborg |
25 |
|
36. |
Borås |
31 |
|
37. |
Lidköping/Skara |
10 |
|
38. |
Falköping |
6 |
|
39. |
Skövde |
10 |
|
40. |
Mariestad |
4 |
|
41. |
Kristinehamn |
6 |
|
42. |
Karlstad |
25 |
|
43. |
Säffle/Åmål |
4 |
|
44. |
Arvika |
11 |
|
45. |
Örebro |
19 |
|
46. |
Karlskoga |
3 |
|
47. |
Lindesberg |
10 |
|
48. |
Västerås |
16 |
|
49. |
Köping |
6 |
|
50. |
Fagersta |
5 |
|
51. |
Sala |
4 |
|
52. |
Borlänge/Falun |
22 |
|
53. |
Avesta/Hedemora |
5 |
|
54. |
Ludvika |
2 |
|
55. |
Mora |
7 |
|
56. |
Gävle/Sandviken |
24 |
|
57. |
Bollnäs/Söderhamn |
5 |
|
58. |
Hudiksvall/Ljusdal |
11 |
|
59. |
Sundsvall |
23 |
|
60. |
Härnösand/Kramfors |
4 |
|
61. |
Sollefteå |
3 |
|
62. |
Örnsköldsvik |
4 |
|
63. |
Östersund |
14 |
|
64. |
Umeå |
16 |
|
65. |
Skellefteå |
4 |
|
66. |
Lycksele |
3 |
|
67. |
Piteå |
8 |
|
68. |
Luleå/Boden |
15 |
|
69. |
Haparanda/Kalix |
5 |
|
70. |
Kiruna/Gällivare |
6 |
Range of Valid Data Values: 1-70
Summary Statistics: Valid 1137 ;
Variable Format: numeric
Huvudregion (H-region)
Value |
Label |
Frequency |
|
|---|---|---|---|
1. |
Stockholm including the suburb municipalities |
213 |
|
3. |
Urban 1: Municipalities (MC) with more than 90 000 inhabitants within an area of 30 kilometres radius from the MC centre |
444 |
|
4. |
Urban 2: MC:s with more than 27 000 inhabitants and less than 90 000 inhabitants within an area of 30 kilometres radius of the MC centre and in the same time with more than 30 000 inhabitants within 100 kilometres radius of the MC centre |
193 |
|
5. |
Rural 1: MC:s with more than 27 000 inhabitants and less than 90 000 inhabitants within an area of 30 kilometres radius of the MC centre and in the same time with less than 30 000 inhabitants within 100 kilometres radius of the MC centre |
57 |
|
6. |
Rural 2: MC:s with less than 27 000 inhabitants within an area of 30 kilometres radius of the centre |
66 |
|
8. |
Göteborg including the suburb municipalities |
93 |
|
9. |
Malmö, Lund, Trelleborg including the suburb municipalities |
71 |
Range of Valid Data Values: 1-9
Summary Statistics: Valid 1137 ;
Variable Format: numeric