ATTITUDES TO INEQUALITY 1991
A Swedish survey
SSD 0297
Principal investigator
Stefan Svallfors
Department of Sociology
University of Umeå
First SSD edition
November 1992
Swedish Social Science Data Service
Skanstorget 18
Go to variable list
S-411 22 Göteborg
ACKNOWLEDGMENT OF ASSISTANCE
All manuscripts utilizing data made available through the
Swedish Social Science Data Service should acknowledge that
fact as well as identify the original collector of the data.
SSD urges all users of SSD data facilities to follow some
adaption of this statement with the parantheses indicating
items to be filled in appropriately or deleted by the
individual user.
The data (and tabulations) utilized in this
(publication) were made available (in part) by
the Swedish Social Science Data Service. The
data for ATTITUDES TO INEQUALITY 1991 - A
SWEDISH SURVEY were originally collected by
Stefan Svallfors, Department of Sociology,
University of Umeå. Neither the collector of
the original data nor SSD bear any responsibility
for the analyses or interpretations presented
here.
According to an agreement between Stefan Svallfors and the
Swedish Social Science Data Service ATTITUDES TO INEQUALITY
1991 - A SWEDISH SURVEY can be disseminated to and analysed
by researchers on condition that the usage is for research
purpose. The code of ethics for humanities and social
sciences research established by the Swedish Humanities and
Social Sciences Research Council, and published in
HSFR-ETIK, must be adhered to wherever applicable.
Data and/or documentation can not be made available to any
third party without the written permission of SSD.
Two copies of all reports based on these data shall be sent
to the SSD, which will forward one copy to the principal
investigator(s).
CONTENTS
Page
INTRODUCTION
Background I
Codebook information II
SSD documentation III
VARIABEL DESCRIPTION IV
CODEBOOK 1
I
INTRODUCTION
BACKGROUND
The survey, made in 1991, is mainly a replication of the
1987 module in the International Social Survey Program
(ISSP) which was conducted in ten countries. Data for the
other surveys may be obtained from Zentralarchiv,
Universität zu Köln, Bachemer Str. 40, D-5000 Köln 41 (Att.
Dr Rolf Uher).
SAMPLE AND FIELD WORK
Contex of the survey:
Separate postal survey with two reminders by post to all
non-respondents and a telephone interview follow-up on a
sub-sample of remaining non-respondents.
Sample:
A representative sample of the Swedish population 18-74
years
Samplesize: 1 498 individuals.
Fieldwork:
The fieldwork was conducted by Statistics Sweden, February -
April 1991.
Response rate:
n %
Original sample 1498
Emigrated, living in
institutions, no known
address 45
Net sample: 1453 100
Responses (weighted) 915 62.9
by mail 701 48.2
by telephone 214 14.7
Non-responses 538 37.0
refusals 215 14.8
no contact 323 22.2
WEIGHTING:
A subsample was drawn among those who had still not
responded after two subsequent reminders. 50% of them were
selected for telephone interviewing, following the normal
practices of Statistics Sweden. All respondents in the
subsample has accordingly been given the weight 2. In order
to keep the representativeness of the sample, all
calculations should be made using the weight (variable 5).
For more information see:
Stenberg, Katarina Attitudes to inequality - a Swedish
Svallfors, Stefan survey. Codebook for machine-readable
codebook.
Umeå: Department of Sociology, 1992
II
CODEBOOK INFORMATION
The example below is a reproduction of information appearing
in a machine-readable codebook for a typical variable. The
numbers in brackets do not appear but are references to the
descriptions which follow this example.
............................................................
(1) VAR 27 (2) DIFFERENCES IN PAY 3 (3) MD=9
REF 27 (4) LOC 41 WIDTH 1 (5) NUMERIC
(6) Q.3 Some people earn a lot of money while others
do not earn very much at all. In order to get
people to work hard, do you think large
differences in pay are ...
(7) ......................
(8) (9) (10)
116 1. Absolutely necessary
353 2. Probably necessary
159 3. Probably not necessary
77 4. Definitely not necessary
40 8. Don't know
4 9. No answer
............................................................
(1) Variabel- and reference number. Usually identical.
Should the data be subset or rearranged by an OSIRIS
program, the variable numbers would change to reflect the
order of the new dataset, while the reference number would
remain unchanged to reflect the variable number in the
codebook describing the archived dataset.
(2) Variable name. An abbreviation of the question at issue
(maximum of 24 characters).
(3) Missing data. Indicates the code values of missing data.
(4) Position. Indicates the starting location and width of
this variable.
(5) Indicates if data is numeric or alphabetic.
(6) The full text (question) supplied by the investigator to
describe the variable.
(7) Additional comments or explanations appended to the
variable description.
(8) Frequency of occurence of each code value.
(9) Code values occuring in the data.
(10) Textual definitions of the codes.
III
SSD DOCUMENTATION
The documentation has been processed using a computer-based
documentation system made available for the SSD from the
Inter-University Consortium for Political and Social
Research (ICPSR) at the University of Michigan. The system
is called Guided Interactive Dataset Organization (GIDO).
Variable list
1 SSD Study Number-0297
2 SSD Edition Number-1
3 SSD Part Number-001
4 ID-number
5 Weight
6 Sex
7 Marital status
8 Age
9 County
10 Nation
11 Region
12 H-region
OPPORTUNITIES FOR GETTING AHEAD IN LIFE
13 Wealthy family
14 Well educated parents
15 Good education
16 Ambition
17 Natural ability
18 Hard work
19 Knowing the right people
20 Political connections
21 Race
22 Religion
23 Part of country
24 Gender
25 Political beliefs
26 Chance of improving standard of living
DIFFERENCES IN PAY
27 Differences in pay necessary
28 Extra responsibility
29 Skills and qualifications
30 Inequality benefits the rich
31 No one would study for years unless more pay
32 Income differences necessary for Swedens prosperity
33 Good profits for business improves everyones standard
of living
34 People don't join together to get rid of inequality
MONTHLY SALARY FOR DIFFERENT JOBS
35 Bricklayer
36 Doctor in general practice
37 Bank clerk
38 Shop owner
39 Chairman of a large company
40 Skilled worker in a factory
41 Farm laborer
42 Secretary
43 City bus driver
44 Unskilled worker in a factory
45 Cabinet minister
REASONABLE SALARY FOR DIFFERENT JOBS
46 Bricklayer
47 Doctor in general practice
48 Bank clerk
49 Shop owner
50 Chairman of a large company
51 Skilled worker in a factory
52 Farm laborer
53 Secretary
54 City bus driver
55 Unskilled worker in a factory
56 Cabinet minister
IMPORTANT FACTORS DECIDING THE SALARY
57 Responsibility
58 Complex and difficult job
59 Years of studying
60 Practical experience
61 Supervision
62 Age
63 Marital status
64 Sex
65 Children
66 Support a family decently
67 Dangerous job
68 Dirty and unpleasant working conditions
69 Demand in labour market
70 Influence of trade unions
STATEMENTS
71 Income differences too large
72 Reduce income differences
73 More chances for children from poor families to go to
university
74 Provide jobs for all
75 Less benefits for poor
76 Decent standard of living for the unemployed
77 Guaranteed basic income
TAXES
78 Taxes for those with high incomes
79 Taxes for those with middle incomes
80 Taxes for those with low incomes
81 Share of income
CONFLICTS BETWEEN DIFFERENT SOCIAL GROUPS
82 Poor people and rich people
83 Working class and middle class
84 Unemployed and people with jobs
85 Management and workers
86 Farmers and city people
87 Young people and older people
88 Immigrants and Swedes
89 Men and women
90 Social position
91 Gain from increased equality of incomes
92 Fathers occupation
93 Father: SEI-group
94 Father selfemployed or employed
95 First job after finished full-time education
96 First job: SEI-group
97 First job selfemployed or employed
98 Present occupation
99 Present occupation: SEI-group
100 Selfemployed or employed in present occupation
101 Public or private sector
102 Fathers vs own status
103 Education
104 Monthly income
105 Parents nationality
106 Political party
107 Marital status
108 Spouses occupation
109 Spouse: SEI-group
110 Spouse selfemployed
111 Spouses monthly income
112 Answer
113 Infl
114 V96
VAR 1 SSD STUDY NUMBER-0297 Loc 1 width 4
SSD Study Number-0297
VAR 2 SSD EDITION NUMBER-1 Loc 5 width 1
SSD Edition Number
The number identifying the release edition of this dataset.
1. November 1992
VAR 3 SSD PART NUMBER-001 Loc 6 width 3
SSD Part Number
The number identifying this part of a 1-part study.
VAR 4 ID-NUMBER Loc 9 width 7
ID-number
VAR 5 WEIGHT Loc 16 width 1
Weight
Remark: A subsample was drawn among those who had still not
responded after two subsequent reminders. 50% of them were
selected for telephone interviewing, following the normal
practices of Statistics Sweden. All respondents in the
subsample has accordingly been given the weight 2. In order
to keep the representativeness of the sample, all
calculations should be made using the weight.
Kod: 1 2
Frek: 583 166
VAR 6 SEX Loc 17 width 1
Sex
381 1. Male
368 2. Female
VAR 7 MARITAL STATUS Loc 18 width 1
Marital status
218 1. Unmarried
226 2. Married man
7 3. Married woman not cohabiting with her husband
59 4. Divorced
25 5. Widow/widower
210 7. Married woman cohabit with her husband
4 8. Child under 18 years
VAR 8 AGE Loc 19 width 2
Age
19. 19 year
.
.
75. 75 year
Kod: 19 20 21 22 23 24 25 26 27 28 29 30 31 32
Frek: 12 11 8 16 15 15 12 16 18 20 14 12 12 14
Kod: 33 34 35 36 37 38 39 40 41 42 43 44 45 46
Frek: 14 15 14 14 9 16 23 15 18 15 11 21 11 16
Kod: 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Frek: 16 15 12 16 17 18 5 10 14 10 11 12 15 13
Kod: 61 62 63 64 65 66 67 68 69 70 71 72 73 74
Frek: 12 14 19 9 7 14 6 11 10 13 12 11 6 7
Kod: 75
Frek: 7
VAR 9 COUNTY Loc 21 width 2
County
135 01. Stockholms län
18 03. Uppsala län
24 04. Södermanlands län
46 05. Östergötlands län
26 06. Jönköpings län
18 07. Kronobergs län
21 08. Kalmar län
7 09. Gotlands län
11 10. Blekinge län
23 11. Kristianstads län
70 12. Malmöhus län
21 13. Hallands län
55 14. Göteborgs och Bohus län
33 15. Älvsborgs län
26 16. Skaraborgs län
28 17. Värmlands län
28 18. Örebro län
17 19. Västmanlands län
27 20. Kopparbergs län
28 21. Gävleborgs län
25 22. Västernorrlands län
13 23. Jämtlands län
20 24. Västerbottens län
29 25. Norrbottens län
VAR 10 NATION Loc 23 width 2
alphabetic
Nation
This is an alphabetic variable.
VAR 11 REGION Loc 25 width 1
Region
Remark: "Län" approximative to english county
135 1. Stockholm: Stockholms län
133 2. East mid: Uppsala, Södermanlands, Östergötlands,
örebro and Västmanlands län
72 3. Småland and Gotland: Jönköpings, Kronobergs, Kalmar
and Gotlands län
104 4. South: Blekinge, Kristianstads and Malmöhus län
135 5. West: Hallands, Göteborgs- and Bohus, Älsborgs and
Skaraborgs län
83 6. North mid: Värmlands, Kopparbergs and Gävleborgs län
38 7. Mid north: Västernorrlands and Jämtlands län
49 8. North: Västerbottens and Norrbottens län
VAR 12 H-REGION Loc 26 width 1
H-region
131 1. Stockholm: Stockholm including the suburb
municipalities
270 3. Urban 1: Municipalities (MC) with more than 90 000
inhabitants within an area of 30 kilometers radius
from the MC centre
147 4. Urban 2: MC:s with more than 27 000 inhabitants and
less than 90 000 inhabitants within an area of 30
kilometers radius of the MC centre and in the the
same time with more than 300 000 inhabitants within
100 kilometers radius of the MC centre
46 5. Rural 1: MC:s with more than 27 000 inhabitants and
less than 90 000 inhabitants within an area of 30
kilometers radius of the MC centra and in the same
time with less than 300 000 inhabitants within 100
kilometers radius of the MC centre
56 6. Rural 2: MC:s with less than 27 000 inhabitants
within an area of 30 kilometers radius of the MC
centre
55 8. Göteborg region: Göteborg including the suburb
municipalities
44 9. Malmö etc region: Malmö, Lund, Trelleborg including
the suburb municipalities
VAR 13 AHEAD: WEALTHY FAMILY 1A Loc 27 width 1
MD=9
Q.1. 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.
Q.1a. How important is coming from a wealthy family for
getting ahead in life?
22 1. Essential
90 2. Very important
259 3. Fairly important
240 4. Not very important
90 5. Not important at all
18 8. Don't know
30 9. No answer
VAR 14 AHEAD: EDUCAT PARENTS 1B Loc 28 width 1
MD=9
Q.1b. How important is having well educated parents for
getting ahead in life?
<See Q.1 for complete question text>
18 1. Essential
147 2. Very important
310 3. Fairly important
165 4. Not very important
65 5. Not important at all
16 8. Don't know
28 9. No answer
VAR 15 AHEAD: GOOD EDUCATION 1C Loc 29 width 1
MD=9
Q.1c. How important is having good education yourself for
getting ahead in life?
<See Q.1 for complete question text>
86 1. Essential
418 2. Very important
204 3. Fairly important
15 4. Not very important
5 5. Not important at all
4 8. Don't know
17 9. No answer
VAR 16 AHEAD: AMBITION 1D Loc 30 width 1
MD=9
Q.1d. How important is having ambition for getting ahead in
life?
<See Q.1 for complete question text>
161 1. Essential
424 2. Very important
119 3. Fairly important
9 4. Not very important
4 5. Not important at all
12 8. Don't know
20 9. No answer
VAR 17 AHEAD: NATURAL ABILITY 1 Loc 31 width 1
MD=9
Q.1e. How important is natural ability for getting ahead in
life?
<See Q.1 for complete question text>
57 1. Essential
270 2. Very important
338 3. Fairly important
41 4. Not very important
7 5. Not important at all
9 8. Don't know
27 9. No answer
VAR 18 AHEAD: HARD WORK 1F Loc 32 width 1
MD=9
Q.1f. How important is hard work for getting ahead in life?
<See Q.1 for complete question text>
123 1. Essential
366 2. Very important
198 3. Fairly important
27 4. Not very important
11 5. Not important at all
8 8. Don't know
16 9. No answer
VAR 19 AHEAD: KNOWING PEOPLE 1G Loc 33 width 1
MD=9
Q.1g. How important is knowing the right people for getting
ahead in life?
<See Q.1 for complete question text>
53 1. Essential
217 2. Very important
287 3. Fairly important
122 4. Not very important
28 5. Not important at all
15 8. Don't know
27 9. No answer
VAR 20 AHEAD: POL CONNECTION 1H Loc 34 width 1
MD=9
Q.1h. How important is having political connections for
getting ahead in life?
<See Q.1 for complete question text>
17 1. Essential
50 2. Very important
122 3. Fairly important
299 4. Not very important
182 5. Not important at all
52 8. Don't know
27 9. No answer
VAR 21 AHEAD: RACE 1I Loc 35 width 1
MD=9
Q.1i. How important is a person's race for getting ahead in
life?
<See Q.1 for complete question text>
20 1. Essential
50 2. Very important
153 3. Fairly important
207 4. Not very important
235 5. Not important at all
58 8. Don't know
26 9. No answer
VAR 22 AHEAD: RELIGION 1J Loc 36 width 1
MD=9
Q.1j. How important is a person's religion for getting
ahead in life?
<See Q.1 for complete question text>
6 1. Essential
17 2. Very important
51 3. Fairly important
225 4. Not very important
353 5. Not important at all
70 8. Don't know
27 9. No answer
VAR 23 AHEAD: PART OF COUNTRY 1 Loc 37 width 1
MD=9
Q.1k. How important is the part of the country a person
comes from for getting ahead in life?
<See Q.1 for complete question text>
5 1. Essential
14 2. Very important
63 3. Fairly important
215 4. Not very important
390 5. Not important at all
36 8. Don't know
26 9. No answer
VAR 24 AHEAD: GENDER 1L Loc 38 width 1
MD=9
Q.1l. How important is being a man or a woman for getting
ahead in life?
<See Q.1 for complete question text>
17 1. Essential
56 2. Very important
182 3. Fairly important
225 4. Not very important
195 5. Not important at all
46 8. Don't know
28 9. No answer
VAR 25 AHEAD: POL BELIEFS 1M Loc 39 width 1
MD=9
Q.1m. How important is a person's political beliefs for
getting ahead in life?
<See Q.1 for complete question text>
11 1. Essential
25 2. Very important
121 3. Fairly important
267 4. Not very important
248 5. Not important at all
51 8. Don't know
26 9. No answer
VAR 26 LIVING STANDARD 2 Loc 40 width 1
MD=9
Q.2. The way things are in Sweden, people like me and my
family have a good chance of improving our standard of
living. Please tick one box for the alternative most in line
with your opinion.
7 1. Strongly agree
143 2. Agree
319 3. Neither agree nor disagree
169 4. Disagree
55 5. Strongly disagree
54 8. Don't know
2 9. No answer
VAR 27 DIFFERENCES IN PAY 3 Loc 41 width 1
MD=9
Q.3. Some people earn a lot of money while others do not
earn very much at all. In order to get people to work hard,
do you think large differences in pay are ...
116 1. Absolutely necessary
353 2. Probably necessary
159 3. Probably not necessary
77 4. Definitely not necessary
40 8. Don't know
4 9. No answer
VAR 28 EXTRA RESPONSIBILITY 4A Loc 42 width 1
MD=9
Q.4. Do you agree or disagree with each of these
statements? Please for each statement tick the box for the
alternative most in line with your opinion.
Q.4a. People would not want to take extra responsibility at
work unless they were paid extra for it
135 1. Strongly agree
423 2. Agree
94 3. Neither agree nor disagree
68 4. Disagree
10 5. Strongly disagree
12 8. Don't know
7 9. No answer
VAR 29 GET QUALIFICATION 4B Loc 43 width 1
MD=9
Q.4b. Workers would not bother to get skills and
qualifications unless they were paid extra for having them.
<See Q.4 for complete question text>
109 1. Strongly agree
395 2. Agree
124 3. Neither agree nor disagree
85 4. Disagree
11 5. Strongly disagree
15 8. Don't know
10 9. No answer
VAR 30 INEQUAL BENEFITS RICH 4C Loc 44 width 1
MD=9
Q.4c. Inequality continues to exist because it benefits the
rich and powerful.
<See Q.4 for complete question text>
140 1. Strongly agree
220 2. Agree
173 3. Neither agree nor disagree
115 4. Disagree
32 5. Strongly disagree
58 8. Don't know
11 9. No answer
VAR 31 NONE STUDY FOR YEARS 4D Loc 45 width 1
MD=9
Q.4d. No one would study for years to become a lawyer or
doctor unless they expected to earn a lot more than ordinary
workers.
<See Q.4 for complete question text>
179 1. Strongly agree
342 2. Agree
103 3. Neither agree nor disagree
83 4. Disagree
14 5. Strongly disagree
21 8. Don't know
7 9. No answer
VAR 32 NECESSARY PROSPERITY 4E Loc 46 width 1
MD=9
Q.4e. Large differences in income are necessary for
Sweden's prosperity.
<See Q.4 for complete question text>
36 1. Strongly agree
169 2. Agree
206 3. Neither agree nor disagree
201 4. Disagree
61 5. Strongly disagree
65 8. Don't know
11 9. No answer
VAR 33 GOOD BUSINESS PROFITS 4F Loc 47 width 1
MD=9
Q.4f. Allowing business to make good profits is the best
way to improve everyone's standard of living.
<See Q.4 for complete question text>
58 1. Strongly agree
227 2. Agree
185 3. Neither agree nor disagree
143 4. Disagree
27 5. Strongly disagree
97 8. Don't know
12 9. No answer
VAR 34 PEOPLE JOIN TOGETHER 4G Loc 48 width 1
MD=9
Q.4g. Inequality continues to exist because ordinary people
don't join together to get rid of it.
<See Q.4 for complete question text>
53 1. Strongly agree
171 2. Agree
186 3. Neither agree nor disagree
177 4. Disagree
45 5. Strongly disagree
105 8. Don't know
12 9. No answer
VAR 35 EARNS: BRICKLAYER 5A Loc 49 width 5
MD= 0
Q.5. What do you think people in these jobs actually earn?
Please write in how much you think they usually earn per
month before taxes.
Q.5a. A bricklayer
06000. 60 000 SEK
.
.
61300. 61 300 SEK
1 99999. More than 100 000 SEK
72 00000. No answer
Kod: 0 6000 8000 9000 10000 11000 11500 12000
Frek: 72 1 1 2 23 19 3 56
Kod: 12500 13000 13500 14000 14400 14500 15000 15002
Frek: 3 47 4 88 1 3 195 1
Kod: 16000 17000 17500 18000 19000 20000 21000 22400
Frek: 69 51 1 53 4 38 1 1
Kod: 23000 25000 30000 61300 99999
Frek: 1 7 2 1 1
VAR 36 EARNS: DOCTOR 5B Loc 54 width 5
MD= 0
Q.5b. A doctor in general practice
<See Q.5 for complete question text>
02200. 2 200 SEK
.
.
75000. 75 000 SEK
3 99999. More than 100 000 SEK
70 00000. No answer
Kod: 0 2200 9500 10000 12000 12500 12800 13000
Frek: 70 1 2 2 3 1 1 5
Kod: 14000 14500 15000 16000 16500 17000 17500 18000
Frek: 6 1 21 25 1 12 1 37
Kod: 18500 19000 20000 21000 22000 22500 23000 24000
Frek: 1 10 110 6 40 1 18 13
Kod: 25000 26000 27000 27500 28000 29000 30000 32000
Frek: 154 4 10 1 16 1 101 1
Kod: 35000 40000 40001 45000 50000 60000 70000 75000
Frek: 34 19 1 5 6 3 1 1
Kod: 99999
Frek: 3
VAR 37 EARNS: BANK CLERK 5C Loc 59 width 5
MD= 0
Q.5c. A bank clerk
<See Q.5 for complete question text>
07000. 7 000 SEK
.
.
80000. 80 000 SEK
70 00000. No answer
Kod: 0 7000 8000 8500 9000 9500 9900 10000
Frek: 70 1 3 1 19 5 1 71
Kod: 10500 11000 11500 12000 12500 13000 13500 14000
Frek: 11 86 7 171 9 76 4 42
Kod: 14500 15000 16000 17000 17500 18000 19000 20000
Frek: 1 88 18 15 1 16 2 13
Kod: 20008 23000 24000 25000 26000 30000 40000 45000
Frek: 1 1 1 7 1 2 1 1
Kod: 50000 60000 80000
Frek: 1 1 1
VAR 38 EARNS: SHOP OWNER 5D Loc 64 width 5
MD= 0
Q.5d. An owner of a small shop
<See Q.5 for complete question text>
01000. 1 000 SEK
.
.
60000. 60 000 SEK
102 00000. No answer
Kod: 0 1000 5000 6000 7000 8000 8500 9000
Frek: 102 1 1 1 5 25 3 11
Kod: 10000 10500 11000 11500 12000 12500 13000 14000
Frek: 83 1 40 1 85 6 40 32
Kod: 15000 15500 16000 16500 17000 17500 18000 19000
Frek: 151 1 19 3 20 2 25 3
Kod: 20000 21000 22000 23000 25000 28000 30000 60000
Frek: 64 1 2 1 12 1 6 1
VAR 39 EARNS: CHAIRMAN 5E Loc 69 width 5
MD= 0
Q.5e. A chairman of a large company
<See Q.5 for complete question text>
01500. 1 500 SEK
.
.
90000. 90 000 SEK
48 99999. More than 100 000 SEK
80 00000. No answer
Kod: 0 1500 4000 5000 6000 7000 8000 10000
Frek: 80 1 1 2 1 1 2 7
Kod: 11000 12000 14000 15000 15500 16000 17000 18000
Frek: 1 2 3 21 1 2 7 14
Kod: 18500 19000 20000 21000 22000 22500 23000 24000
Frek: 2 5 61 5 7 2 1 1
Kod: 25000 26000 27000 27500 28000 30000 32000 35000
Frek: 76 1 4 2 5 98 3 48
Kod: 36000 37000 37500 38000 40000 45000 46000 47500
Frek: 2 1 1 2 68 12 1 1
Kod: 48000 50000 55000 60000 65000 67500 70000 75000
Frek: 2 87 3 27 2 1 8 7
Kod: 80000 85000 90000 99999
Frek: 6 2 1 48
VAR 40 EARNS: SKILLED WORKER 5F Loc 74 width 5
MD= 0
Q.5f. A skilled worker in a factory
<See Q.5 for complete question text>
08000. 8 000 SEK
.
.
35000. 35 000 SEK
1 99999. More than 100 000 SEK
69 00000. No answer
Kod: 0 8000 8500 9000 9500 10000 10500 11000
Frek: 69 3 1 5 1 35 5 38
Kod: 11500 12000 12500 13000 13500 14000 14500 14700
Frek: 1 127 11 127 4 111 3 1
Kod: 15000 16000 17000 17500 18000 18500 19000 20000
Frek: 126 32 15 1 11 1 4 8
Kod: 21000 22000 25000 30000 35000 99999
Frek: 1 1 2 3 1 1
VAR 41 EARNS: FARM LABORER 5G Loc 79 width 5
MD= 0
Q.5g. A farm laborer
<See Q.5 for complete question text>
04000. 4 000 SEK
.
.
95000. 95 000 SEK
85 00000. No answer
Kod: 0 4000 5000 6000 7000 8000 8500 9000
Frek: 85 1 4 6 7 34 5 56
Kod: 9100 9500 9800 10000 10500 11000 11500 12000
Frek: 1 5 1 178 8 79 4 144
Kod: 12500 13000 13500 13800 14000 15000 16000 17000
Frek: 5 35 2 1 16 39 6 3
Kod: 18000 20000 25000 80000 95000
Frek: 6 14 2 1 1
VAR 42 EARNS: SECRETARY 5H Loc 84 width 5
MD= 0
Q.5h. A secretary
<See Q.5 for complete question text>
05000. 5 000 SEK
.
.
25000. 25 000 SEK
73 00000. No answer
Kod: 0 5000 6000 7500 8000 8500 9000 9200
Frek: 73 1 1 1 6 1 34 1
Kod: 9500 9900 10000 10500 11000 11500 12000 12500
Frek: 10 1 103 8 126 10 154 8
Kod: 13000 13500 14000 15000 15500 16000 17000 18000
Frek: 88 2 39 54 1 6 4 7
Kod: 19000 20000 24000 25000
Frek: 1 5 1 3
VAR 43 EARNS: BUS DRIVER 5I Loc 89 width 5
MD= 0
Q.5i. A city bus driver
<See Q.5 for complete question text>
01300. 1 300 SEK
.
.
20000. 20 000 SEK
72 00000. No answer
Kod: 0 1300 6000 8000 8500 9000 9800 10000
Frek: 72 1 2 3 2 25 1 82
Kod: 10006 10500 11000 11500 11700 11750 11800 12000
Frek: 1 7 104 12 1 1 3 203
Kod: 12500 13000 13500 14000 14500 15000 16000 17000
Frek: 15 106 3 49 3 38 9 2
Kod: 18000 19000 20000
Frek: 1 1 2
VAR 44 EARNS: UNSKILLED 5J Loc 94 width 5
MD= 0
Q.5j. An unskilled worker in a factory
<See Q.5 for complete question text>
01200. 1 200 SEK
.
.
90000. 90 000 SEK
71 00000. No answer
Kod: 0 1200 5000 6500 7000 7500 8000 8500
Frek: 71 1 1 1 4 1 21 3
Kod: 9000 9100 9500 9800 10000 10500 10800 11000
Frek: 62 1 9 1 156 2 1 129
Kod: 11500 12000 12500 12600 13000 13500 14000 15000
Frek: 14 146 11 1 57 1 22 23
Kod: 16000 17000 17500 18000 20000 90000
Frek: 4 1 2 1 1 1
VAR 45 EARNS: MINISTER 5K Loc 99 width 5
MD= 0
Q.5k. A cabinet minister
<See Q.5 for complete question text>
03000. 3 000 SEK
.
.
90000. 90 000 SEK
14 99999. More than 100 000 SEK
72 00000. No answer
Kod: 0 3000 4500 10000 15000 18000 19500 20000
Frek: 72 1 1 1 4 2 1 16
Kod: 20001 21000 22000 23000 24000 25000 26000 27000
Frek: 1 1 5 7 3 72 5 19
Kod: 27500 28000 29000 29200 30000 30200 32000 32500
Frek: 2 12 2 1 129 1 14 1
Kod: 33000 35000 36000 37000 38000 40000 41000 42000
Frek: 2 99 2 5 10 127 1 4
Kod: 42500 43000 45000 47000 47500 48000 50000 52000
Frek: 2 2 25 1 1 4 48 1
Kod: 55000 60000 65000 70000 75000 80000 85000 90000
Frek: 2 12 2 3 3 2 1 3
Kod: 99999
Frek: 14
VAR 46 SHLD EARN: BRICKLAYER 6A Loc 104 width 5
MD= 0
Q.6. 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.
Q.6a. A bricklayer
05000. 5 000 SEK
.
.
70002. 70 002 SEK
113 00000. No answer
Kod: 0 5000 6000 10000 11000 11500 12000 12500
Frek: 113 1 1 20 8 1 51 3
Kod: 13000 14000 15000 15200 15500 16000 17000 17500
Frek: 58 64 228 1 1 45 38 1
Kod: 18000 19000 20000 22000 25000 30000 32000 70002
Frek: 47 6 53 1 5 1 1 1
VAR 47 SHLD EARN: DOCTOR 6B Loc 109 width 5
MD= 0
Q.6b. A doctor in general practice
<See Q.6 for complete question text>
08000. 8 000 SEK
.
.
80000. 80 000 SEK
1 99999. More than 100 000 SEK
108 00000. No answer
Kod: 0 8000 9000 10000 12000 13000 14000 14500
Frek: 108 1 2 1 3 2 4 1
Kod: 15000 15500 16000 17000 18000 19000 19500 20000
Frek: 38 1 16 27 42 14 1 147
Kod: 21000 22000 22500 23000 24000 25000 26000 27000
Frek: 3 17 1 7 4 144 2 7
Kod: 27500 28000 30000 32000 34000 35000 38000 40000
Frek: 1 6 89 1 1 28 1 15
Kod: 40009 45000 50000 51000 60000 75000 80000 99999
Frek: 1 2 5 1 2 1 1 1
VAR 48 SHLD EARN: BANK CLERK 6C Loc 114 width 5
MD= 0
Q.6c. A bank clerk
<See Q.6 for complete question text>
01000. 1 000 SEK
.
.
45000. 45 000 SEK
111 00000. No answer
Kod: 0 1000 7000 8000 9000 10000 10400 10500
Frek: 111 1 1 4 3 42 1 4
Kod: 11000 11500 12000 12500 13000 13500 14000 14001
Frek: 40 4 141 2 84 2 56 1
Kod: 14500 15000 15500 16000 16500 17000 18000 19000
Frek: 1 162 1 19 1 15 17 2
Kod: 20000 22000 25000 30000 40000 41000 45000
Frek: 20 1 6 4 1 1 1
VAR 49 SHLD EARN: SHOP OWNER 6D Loc 119 width 5
MD= 0
Q.6d. An owner of a small shop
<See Q.6 for complete question text>
06000. 6 000 SEK
.
.
80000. 80 000 SEK
128 00000. No answer
Kod: 0 6000 8000 10000 10500 11000 11500 12000
Frek: 128 2 1 31 1 10 2 60
Kod: 13000 14000 15000 16000 16500 17000 17500 18000
Frek: 37 41 214 39 1 16 1 35
Kod: 18500 19000 20000 21000 22000 22500 24000 25000
Frek: 1 1 88 1 4 1 2 17
Kod: 28000 30000 40000 80000
Frek: 2 11 1 1
VAR 50 SHLD EARN: CHAIRMAN 6E Loc 124 width 5
MD= 0
Q.6e. The chairman of a large company
<See Q.6 for complete question text>
01500. 1 500 SEK
.
.
85000. 85 000 SEK
22 99999. More than 100 000 SEK
126 00000. No answer
Kod: 0 1500 2000 3000 4000 5000 6000 8000
Frek: 126 2 1 1 2 4 2 2
Kod: 9000 10000 11000 12000 13000 14000 15000 16000
Frek: 3 15 3 7 6 6 44 9
Kod: 16500 16700 17000 17500 18000 19000 20000 21000
Frek: 1 1 15 1 26 6 129 1
Kod: 22000 22500 23000 24000 25000 26000 27500 28000
Frek: 3 1 2 3 91 1 1 5
Kod: 30000 32000 35000 37000 37500 38000 40000 45000
Frek: 75 1 28 1 1 1 36 2
Kod: 49900 50000 55000 60000 65000 70000 75000 80000
Frek: 1 35 1 9 1 2 11 1
Kod: 85000 99999
Frek: 1 22
VAR 51 SHLD EARN: SKILLED 6F Loc 129 width 5
MD= 0
Q.6f. A skilled worker in a factory
<See Q.6 for complete question text>
00100. 100 SEK
.
.
35000. 35 000 SEK
114 00000. No answer
Kod: 0 100 1400 8000 8500 10000 10800 11000
Frek: 114 1 1 1 1 13 1 7
Kod: 11500 12000 12500 13000 13500 14000 14500 15000
Frek: 1 70 2 76 1 73 2 208
Kod: 15500 16000 17000 17500 18000 19000 20000 21000
Frek: 4 42 29 1 44 3 38 2
Kod: 22000 25000 30000 35000
Frek: 3 9 1 1
VAR 52 SHLD EARN: FARM LAB 6G Loc 134 width 5
MD= 0
Q.6g. A farm laborer
<See Q.6 for complete question text>
01200. 1 200 SEK
.
.
30000. 30 000 SEK
124 00000. No answer
Kod: 0 1200 6000 7500 8000 9000 9800 10000
Frek: 124 1 1 1 2 4 1 48
Kod: 10400 10500 11000 11500 12000 12500 13000 13500
Frek: 1 2 28 1 109 5 81 1
Kod: 14000 14500 15000 15500 16000 17000 17500 18000
Frek: 68 1 169 1 20 11 2 14
Kod: 19000 20000 25000 30000
Frek: 2 42 7 2
VAR 53 SHLD EARN: SECRETARY 6H Loc 139 width 5
MD= 0
Q.6h. A secretary
<See Q.6 for complete question text>
06000. 6 000 SEK
.
.
35000. 35 000 SEK
113 00000. No answer
Kod: 0 6000 8000 9000 9500 10000 10500 11000
Frek: 113 2 4 6 5 47 4 57
Kod: 11500 11700 12000 12500 13000 13500 14000 14500
Frek: 3 1 131 5 102 3 62 1
Kod: 15000 16000 17000 18000 19000 20000 22000 24000
Frek: 148 13 7 11 2 15 1 1
Kod: 25000 30000 35000
Frek: 3 1 1
VAR 54 SHLD EARN: BUS DRIVER 6I Loc 144 width 5
MD= 0
Q.6i. A city bus driver
<See Q.6 for complete question text>
05000. 5 000 SEK
.
.
30000. 30 000 SEK
113 00000. No answer
Kod: 0 5000 7000 8000 8500 9000 10000 10400
Frek: 113 1 1 3 1 3 49 1
Kod: 11000 11500 11800 12000 12500 13000 13500 13800
Frek: 40 3 1 143 7 107 3 1
Kod: 14000 14500 15000 16000 17000 17500 18000 19000
Frek: 59 1 153 14 12 1 13 2
Kod: 20000 25000 30000
Frek: 13 3 1
VAR 55 SHLD EARN: UNSKILLED 6J Loc 149 width 5
MD= 0
Q.6j. An unskilled worker in a factory
<See Q.6 for complete question text>
06000. 6 000 SEK
.
.
90000. 90 000 SEK
113 00000. No answer
Kod: 0 6000 6500 7000 8000 9000 9500 10000
Frek: 113 1 1 2 12 20 1 94
Kod: 10500 11000 11500 12000 12001 12500 13000 13500
Frek: 2 61 8 165 1 3 86 4
Kod: 14000 14500 15000 16000 17000 17500 18000 18500
Frek: 47 2 83 9 7 2 7 1
Kod: 19000 20000 25000 75000 90000
Frek: 1 13 1 1 1
VAR 56 SHLD EARN: MINISTER 6K Loc 154 width 5
MD= 0
Q.6k. A cabinet minister
<See Q.6 for complete question text>
05000. 5 000 SEK
.
.
80003. 80 003 SEK
8 99999. More than 100 000 SEK
114 00000. No answer
Kod: 0 5000 6000 8000 8500 10000 11000 12000
Frek: 114 2 1 1 1 14 2 3
Kod: 13000 14000 15000 16000 16700 17000 17500 18000
Frek: 1 5 45 8 1 10 1 16
Kod: 19000 19500 20000 21000 22000 23000 24000 25000
Frek: 4 1 131 1 12 5 4 115
Kod: 27000 28000 29000 30000 32500 33000 33433 35000
Frek: 3 10 1 87 1 2 1 33
Kod: 38000 40000 42000 45000 47500 50000 55000 60000
Frek: 1 54 2 5 1 31 1 5
Kod: 75000 80000 80003 99999
Frek: 2 2 1 8
VAR 57 PAY: RESPONSIBILITY 7A Loc 159 width 1
MD=9
Q.7. 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?
Q.7a. How much responsibility goes with the job?
88 1. Should be the single most important thing
448 2. Should be very important
177 3. Should be fairly important
12 4. Should not be very important
9 5. Should not matter at all
10 8. Don't know
5 9. No answer
VAR 58 PAY:DIFFICULT/COMPLEX 7B Loc 160 width 1
MD=9
Q.7b. How complex and difficult the job is?
<See Q.7 for complete question text>
88 1. Should be the single most important thing
449 2. Should be very important
167 3. Should be fairly important
16 4. Should not be very important
9 5. Should not matter at all
15 8. Don't know
5 9. No answer
VAR 59 PAY: YEARS STUDYING 7C Loc 161 width 1
MD=9
Q.7c. The number of years studying?
<See Q.7 for complete question text>
24 1. Should be the single most important thing
189 2. Should be very important
333 3. Should be fairly important
150 4. Should not be very important
28 5. Should not matter at all
18 8. Don't know
7 9. No answer
VAR 60 PAY: EXPERIENCE 7D Loc 162 width 1
MD=9
Q.7d. How much practical experience it takes?
<See Q.7 for complete question text>
43 1. Should be the single most important thing
325 2. Should be very important
328 3. Should be fairly important
24 4. Should not be very important
5 5. Should not matter at all
15 8. Don't know
9 9. No answer
VAR 61 PAY: SUPERVISION 7E Loc 163 width 1
MD=9
Q.7e. Whether the job requires supervising others?
<See Q.7 for complete question text>
48 1. Should be the single most important thing
349 2. Should be very important
274 3. Should be fairly important
44 4. Should not be very important
13 5. Should not matter at all
11 8. Don't know
10 9. No answer
VAR 62 PAY: AGE 7F Loc 164 width 1
MD=9
Q.7f. How old the worker is?
<See Q.7 for complete question text>
10 1. Should be the single most important thing
67 2. Should be very important
179 3. Should be fairly important
319 4. Should not be very important
147 5. Should not matter at all
16 8. Don't know
11 9. No answer
VAR 63 PAY: MARITAL STATUS 7G Loc 165 width 1
MD=9
Q.7g. Whether he or she is married?
<See Q.7 for complete question text>
4 1. Should be the single most important thing
8 2. Should be very important
26 3. Should be fairly important
145 4. Should not be very important
544 5. Should not matter at all
16 8. Don't know
6 9. No answer
VAR 64 PAY: GENDER 7H Loc 166 width 1
MD=9
Q.7h. Whether the worker is a man or a woman?
<See Q.7 for complete question text>
4 1. Should be the single most important thing
6 2. Should be very important
10 3. Should be fairly important
137 4. Should not be very important
570 5. Should not matter at all
15 8. Don't know
7 9. No answer
VAR 65 PAY: SUPPORT CHILDREN 7I Loc 167 width 1
MD=9
Q.7i. Whether he or she has children to support?
<See Q.7 for complete question text>
10 1. Should be the single most important thing
32 2. Should be very important
95 3. Should be fairly important
154 4. Should not be very important
421 5. Should not matter at all
27 8. Don't know
10 9. No answer
VAR 66 PAY: DECENT LIFE 7J Loc 168 width 1
MD=9
Q.7j. What it takes to support a family decently?
<See Q.7 for complete question text>
40 1. Should be the single most important thing
158 2. Should be very important
190 3. Should be fairly important
96 4. Should not be very important
202 5. Should not matter at all
48 8. Don't know
15 9. No answer
VAR 67 PAY: DANGEROUS JOB 7K Loc 169 width 1
MD=9
Q.7k. How dangerous the job is?
<See Q.7 for complete question text>
96 1. Should be the single most important thing
394 2. Should be very important
212 3. Should be fairly important
18 4. Should not be very important
7 5. Should not matter at all
17 8. Don't know
5 9. No answer
VAR 68 PAY: WORK CONDITIONS 7L Loc 170 width 1
MD=9
Q.7l. How dirty and unpleasant the working conditions are?
<See Q.7 for complete question text>
54 1. Should be the single most important thing
274 2. Should be very important
323 3. Should be fairly important
57 4. Should not be very important
13 5. Should not matter at all
21 8. Don't know
7 9. No answer
VAR 69 PAY: DEMAND IN LABOUR 7M Loc 171 width 1
MD=9
Q.7m. How great demand there is for their labour power in
the market?
<See Q.7 for complete question text>
22 1. Should be the single most important thing
161 2. Should be very important
235 3. Should be fairly important
205 4. Should not be very important
91 5. Should not matter at all
23 8. Don't know
12 9. No answer
VAR 70 PAY: UNION INFLUENCE 7N Loc 172 width 1
MD=9
Q.7n. The influence of trade unions?
<See Q.7 for complete question text>
14 1. Should be the single most important thing
60 2. Should be very important
127 3. Should be fairly important
199 4. Should not be very important
276 5. Should not matter at all
65 8. Don't know
8 9. No answer
VAR 71 INCOME DIFF TOO LARGE 8A Loc 173 width 1
MD=9
Q.8. Do you agree or disagree with the following
statements?
Q.8a. Differences in income in Sweden are too large.
177 1. Strongly agree
255 2. Agree
159 3. Neither agree nor disagree
99 4. Disagree
36 5. Strongly disagree
20 8. Don't know
3 9. No answer
VAR 72 REDUCE INCOME DIFF 8B Loc 174 width 1
MD=9
Q.8b. It is the responsibility of the government/the
parliament to reduce the differences in income between
people with high incomes and those with low incomes.
<See Q.8 for complete question text>
124 1. Strongly agree
254 2. Agree
128 3. Neither agree nor disagree
138 4. Disagree
70 5. Strongly disagree
30 8. Don't know
5 9. No answer
VAR 73 CHANCES GO TO UNIV 8C Loc 175 width 1
MD=9
Q.8c. The goverment/the parliament should provide more
chances for children from poor families to go to university.
<See Q.8 for complete question text>
143 1. Strongly agree
328 2. Agree
161 3. Neither agree nor disagree
55 4. Disagree
23 5. Strongly disagree
34 8. Don't know
5 9. No answer
VAR 74 JOB FOR EVERYONE 8D Loc 176 width 1
MD=9
Q.8d. The government/the parliament should provide a job
for everyone who wants one.
<See Q.8 for complete question text>
196 1. Strongly agree
329 2. Agree
124 3. Neither agree nor disagree
60 4. Disagree
16 5. Strongly disagree
20 8. Don't know
4 9. No answer
VAR 75 LESS BENEFITS 8E Loc 177 width 1
MD=9
Q.8e. The government/the parliament should spend less on
benefits for the poor.
<See Q.8 for complete question text>
16 1. Strongly agree
61 2. Agree
158 3. Neither agree nor disagree
274 4. Disagree
188 5. Strongly disagree
45 8. Don't know
7 9. No answer
VAR 76 LIVING STANDARD UNEMPL 8 Loc 178 width 1
MD=9
Q.8f. The government/the parliament should provide a decent
standard of living for the unemployed.
<See Q.8 for complete question text>
62 1. Strongly agree
359 2. Agree
199 3. Neither agree nor disagree
59 4. Disagree
25 5. Strongly disagree
37 8. Don't know
8 9. No answer
VAR 77 BASIC INCOME 8G Loc 179 width 1
MD=9
Q.8g. The government/the parliament should provide everyone
with a guaranteed basic income.
<See Q.8 for complete question text>
69 1. Strongly agree
230 2. Agree
173 3. Neither agree nor disagree
143 4. Disagree
76 5. Strongly disagree
53 8. Don't know
5 9. No answer
VAR 78 TAXES: HIGH INCOMES 9A Loc 180 width 1
MD=9
Q.9. Generally, how would you describe taxes in Sweden
today?
Q.9a. For those with high incomes, taxes ares...
53 1. Much too high
113 2. Too high
199 3. About right
223 4. Too low
79 5. Much too low
75 8. Don't know
7 9. No answer
VAR 79 TAXES: MIDDLE INCOMES 9B Loc 181 width 1
MD=9
Q.9b. For those with middle incomes, taxes are...
<See Q.9 for complete question text>
82 1. Much too high
288 2. Too high
298 3. About right
5 4. Too low
5. Much too low
69 8. Don't know
7 9. No answer
VAR 80 TAXES: LOW INCOMES 9C Loc 182 width 1
MD=9
Q.9c. For those with low incomes, taxes are...
<See Q.9 for complete question text>
247 1. Much too high
326 2. Too high
111 3. About right
2 4. Too low
5. Much too low
57 8. Don't know
6 9. No answer
VAR 81 TAX RATES: SHARE 10 Loc 183 width 1
MD=9
Q.10. Do you think that 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?
101 1. Much larger share
447 2. Larger share
161 3. The same share
8 4. Smaller share
5. Much smaller share
29 8. Don't know
3 9. No answer
VAR 82 CONFL: POOR VS RICH 11A Loc 184 width 1
MD=9
Q.11. In all countries there are differences or even
conflicts between different social groups. In your opinion,
in Sweden, how much conflict is there between ... Please
tick the box most in line with your opinion.
Q.11a. Poor people and rich people?
42 1. Very strong conflicts
169 2. Strong conflicts
440 3. Not very strong conflicts
51 4. No conflicts
41 8. Don't know
6 9. No answer
VAR 83 CONFL: WORKING-MIDDL 11B Loc 185 width 1
MD=9
Q.11b. The working class and the middle class?
<See Q.11 for complete question text>
6 1. Very strong conflicts
53 2. Strong conflicts
497 3. Not very strong conflicts
149 4. No conflicts
38 8. Don't know
6 9. No answer
VAR 84 CONFL: UNEMPL-EMPL 11C Loc 186 width 1
MD=9
Q.11c. The unemployed and people with jobs?
<See Q.11 for complete question text>
15 1. Very strong conflicts
92 2. Strong conflicts
423 3. Not very strong conflicts
141 4. No conflicts
72 8. Don't know
6 9. No answer
VAR 85 CONFL: MANAGEM-WORKER 11 Loc 187 width 1
MD=9
Q.11d. Management and workers?
<See Q.11 for complete question text>
25 1. Very strong conflicts
164 2. Strong conflicts
424 3. Not very strong conflicts
68 4. No conflicts
58 8. Don't know
10 9. No answer
VAR 86 CONFL: FARMERS-CITY 11 Loc 188 width 1
MD=9
Q.11e. Farmers and city people?
<See Q.11 for complete question text>
13 1. Very strong conflicts
85 2. Strong conflicts
413 3. Not very strong conflicts
166 4. No conflicts
66 8. Don't know
6 9. No answer
VAR 87 CONFL: YOUNG-OLD 11 Loc 189 width 1
MD=9
Q.11f. Young people and older people
<See Q.11 for complete question text>
15 1. Very strong conflicts
86 2. Strong conflicts
422 3. Not very strong conflicts
173 4. No conflicts
46 8. Don't know
7 9. No answer
VAR 88 CONFL: IMMIGR-SWEDES 11G Loc 190 width 1
MD=9
Q.11g. Immigrants and Swedes?
<See Q.11 for complete question text>
103 1. Very strong conflicts
313 2. Strong conflicts
252 3. Not very strong conflicts
24 4. No conflicts
52 8. Don't know
5 9. No answer
VAR 89 CONFL: MEN-WOMEN 11H Loc 191 width 1
MD=9
Q.11h. Men and women?
<See Q.11 for complete question text>
14 1. Very strong conflicts
79 2. Strong conflicts
426 3. Not very strong conflicts
177 4. No conflicts
49 8. Don't know
4 9. No answer
VAR 90 PERCEPTION:SOCIAL POS 12 Loc 192 width 1
Q.12. 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!
36 0. Bottom
8 1.
31 2.
73 3.
123 4.
248 5.
134 6.
76 7.
14 8.
6 9. Top
VAR 91 GAIN INCOME EQUALITY 13 Loc 193 width 1
MD=9
Q.13. If there would be an increased equality of incomes in
Sweden, some people would get higher incomes, and some would
get lower incomes. Do you think that you would win or lose
from such increased equality?
312 1. Win
142 5. Lose
282 8. Don't know
13 9. No answer
VAR 92 FATHERS OCCUPATION 14A Loc 194 width 3
MD=900 or GE 999
Q.14a. What occupation did your father have when you were
16? If your father did not have a job then, please give the
job he used to have.
Remark: This is a question with an open answer that has been
coded according to the occupational classification NYK which
is roughly comparable to the ISO-codings (International
Standard Classification of Occupations).
PROFESSIONAL, TECHNICAL AND RELATED WORK
10 001. Architects, civil engineers and civil engineering
technicians
2 002. Electrical engineers and technicians
5 003. Electronics and teletechnical communications
engineers and technicians
21 004. Mechanical engineers and technicians
4 005. Chemical engineers and technicians
1 006. Metallurgists, mining and petroleum engineers and
technicians
7 007. Engineers and engineering technicians nec
2 008. Surveyors and cartographical engineers and
technicians
4 009. Technical workers nec
1 022. Agricultural advisors
1 031. University and higher education teachers
5 032. Secondary education teachers (theoretical
subjects)
6 033. Primary education teachers
2 034. Secondary education teachers
(aesthetical-practical subjects)
5 035. Technical education teachers
1 037. Educational methods advisors
5 041. Ministers of religion
1 051. Judges and lawyers in courts of justice
2 053. Other jurists (private practice)
2 054. Legal advisors (in enterprises or other
organizations)
1 061. Journalists, authors
1 062. Public relations and publicity officers
1 071. Sculptors, painters and commercial artists
1 075. Performing artists
1 076. Composers and musicians
1 077. Producers, directors, stage managers (film,
theatre)
HEALTH AND NURSING WORK, SOCIAL WORK
4 101. Physicians and surgeons
1 106. Attendants in psychiatric care
1 107. Assistant nurses and hospital aids
3 121. Dentists
1 131. Pharmacists
ADMINISTRATIVE, MANAGERIAL AND CLERICAL WORK
3 201. Legislators and administrators (central
government)
12 211. Business administrators
1 212. Organisation administrators
1 219. Business administrative workers nec
1 221. Personnel officers
1 231. Auditors
6 232. Financial managers, accountants
4 249. Clerical and related workers nec
2 251. Systems analysts, programmers
1 259. Computer processing workers (ADP) nec
5 292. Bank tellers and finance clerks
3 293. Insurance clerks
2 296. Forwarders, transport planners
4 297. Property managers
SALES WORK
2 311. Advertising salesmen
1 312. Real estate and securities brokers
6 321. Buyers
27 331. Working proprietors, wholesale and retail trade
13 332. Salesmen (wholesale)
13 333. Shop assistants
AGRICULTURAL, FORESTRY AND FISHING WORK
107 400. Working proprietors in agriculture and forestry
3 401. Horticultural farmers
3 403. Farm managers and supervisors
7 404. Forestry managers and supervisors
11 411. Agricultural workers
3 412. Livestock, dairy and poultry farm workers
3 431. Fishermen
17 441. Loggers
MINING, QUARRYING AND PETROLEUM EXTRACTION WORK
6 501. Miners, quarrymen
2 509. Mining and quarrying workers nec
2 511. Well and diamond drillers
TRANSPORT AND COMMUNICATIONS WORK
1 602. Ship pilots
3 603. Ships' engineers
2 611. Ships' deck ratings
1 612. Engine-room ratings
4 631. Railway engine drivers
3 640. Bus and taxi drivers
21 641. Lorry and pickup drivers
8 652. Railway conductors and yardmen
1 663. Railway station masters, train dispatchers
1 671. Postmasters, post office clerks
5 681. Mail sorting clerks and postmen
1 682. Messengers
1 689. Mail distributon clerks and messengers nec
PRODUCTION WORK
2 711. Tailors
2 719. Tailoring and sewing workers nec
2 721. Shoemakers and shoe repairers
1 722. Shoe cutters, lasters and sewers
3 736. Blacksmiths, hammersmiths and forgers
2 737. Metal casters and moulders
8 739. Metal processing workers nec
1 742. Watchmakers
1 743. Opticians
8 751. Toolmakers, machinetool setters and operators
7 752. Machinery fitters
10 753. Machine assemblers and engine mechanics
1 754. Sheet-metal workers
5 755. Plumbers and pipe fitters
9 756. Welders and flame cutters
1 757. Structural metal prepares and erectors
2 758. Metal platers and coaters
5 759. Metal machine workers and building metal workers
nec
7 761. Electrical fitters and wiremen
1 763. Electrical machinery assemblers and repairmen
1 764. Tele- and electronic repairmen and fitters
3 765. Electric linemen
3 772. Wood processing workers
1 773. Laminated wood and fibreboard workers
4 776. Cabinet makers and joiners
4 777. Woodworking machine operators
9 781. Building painters
2 782. Floor layers
1 783. Painters (others than building)
6 791. Bricklayers
21 793. Concrete workers
23 794. Construction carpenters
1 795. Insulators
6 799. Building and construction workers nec
1 801. Type-setters
1 802. Printing and photo engravers
2 819. Glass, pottery and tile workers nec
2 822. Bakers and pastry cooks
3 826. Butchers and meat preparers
2 827. Dairy workers
1 829. Food processing and tobacco workers nec
1 831. Chemical process workers
2 835. Plastic products makers
1 839. Chemical processing workers nec
2 841. Paper pulp preparers
2 842. Paper makers
2 843. Paper product makers
1 851. Cast concrete product makers
3 852. Tanners and fur dressers
1 854. Stone cutters and carvers
10 859. Other production and related workers nec
3 861. Stationary engine and related equipment operators
1 871. Crane and hoist operators
2 872. Earth-moving and related machinery operators
4 873. Truck and conveyor operators
2 881. Packers
6 882. Store and warehouse workers
1 891. Unskilled manual workers
3 901. Firefighters
2 902. Chimney sweeps
4 903. Policemen
3 904. Custom officials
1 905. Prison and reformatory officials
2 906. Watchmen
1 911. Catering supervisors
2 914. Waiters
1 915. Hotel managers, hotel receptionists
6 931. Building caretakers
2 939. Caretakers and cleaners nec
1 941. Hairdressers, beauticians
2 952. Pressers
1 961. Coaches, horse trainers
8 981. Officers
2 900. Workers reporting occupations unidentifiable or
inadequately described
62 999. No answer
VAR 93 FATHER: SEI 14A Loc 197 width 2
MD=99
Q.14a(1). Father: SEI-group
<See Q.14a for complete question text>
110 11. Unskilled employees in goods production
43 12. Unskilled employees in service production
114 21. Skilled employees in goods production
6 22. Skilled employees in service production
11 33. Assistant non-manual employees, lower level
60 36. Assistant non-manual employees, higher level
81 46. Intermediate non-manual employees
45 56. Professionals and other higher non-manual employees
13 57. Upper-level executives
8 60. Self employed professionals
89 79. Self-employed without employees, entrepeneurs
107 89. Medium-scale farmers
62 99. No answer
VAR 94 FATHER EMPLOYED 14C Loc 199 width 1
MD=9
Q.14c. Was your father self-employed, or did he work for
someone else?
131 1. Selfemployed without employees
82 2. Selfemployed with employeed
478 3. Employed
58 9. No answer
VAR 95 FIRST JOB 15 Loc 200 width 3
MD=999
Q.15a. What was your own first job, the first job you had
after you finished youl full-time education?
Remark: This is a question with an open answer that has been
coded according to the occupational classification NYK which
is roughly comparable to the ISO-codings (International
Standard Classifications of Occupations).
PROFESSIONAL, TECHNICAL AND RELATED WORK
7 001. Architects, civil engineers and civil engineering
technicians
002. Electrical engineers and technicians
2 003. Electronics and teletechnical communications
engineers and technicians
3 004. Mechanical engineers and technicians
3 005. Chemical engineers and technicians
1 006. Metallurgists, mining and petroleum engineers and
technicians
3 007. Engineers and engineering technicians nec
3 008. Surveyors and cartographical engineers and
technicians
4 009. Technical workers nec
3 012. Laboratory technicians and assistants (not medical
lab)
2 013. Laboratory assistants (medical lab)
1 015. Meterologists, hydrologists
2 016. Chemists, physicists, laboratory engineers
1 021. Biologists
2 022. Agricultural advisors
2 031. University and higher education teachers
7 032. Secondary education teachers (theoretical
subjects)
18 033. Primary education teachers
5 034. Secondary education teachers
(aesthetical-practical subjects)
7 036. Pre-primary education teachers,
recreationactivities organizers
1 039. Educational workers nec
2 041. Ministers of religion
1 049. Religious workers nec
1 054. Legal advisors (in enterprises or other
organizations)
1 061. Journalists, authors
1 072. Display artists
2 076. Composers and musicians
2 079. Artistic workers nec
1 092. Archivists and museum curators
HEALTH AND NURSING WORK, SOCIAL WORK
3 101. Physicians and surgeons
6 103. Registered nurses
4 105. Medical technicians
3 106. Attendants in psychiatric care
24 107. Assistant nurses and hospital aids
1 112. Occupational therapists
2 121. Dentists
1 123. Dental assistants
2 139. Pharmaceutical workers nec
2 152. Managers of social welfare institutions
10 153. Children nurses
10 154. Home helpers
3 155. Managers and assistants (for the mentally
retarded)
1 159. Social workers nec
1 161. Occupatinal, safety and public health inspectors
1 192. Dietitians and nutritionists
ADMINISTRATIVE, MANAGERIAL AND CLERICAL WORK
1 201. Legislators and administrators (central
government)
1 211. Business administrators
2 221. Personnel officers
8 232. Financial managers, accountants
6 241. Secretaries, stenographers
6 242. Typist
41 249. Clerical and related workers nec
2 251. Systems analysts, programmers
4 252. Computer operators
2 291. Cost computing and estimating clerks
8 292. Bank tellers and finance clerks
2 293. Insurance clerks
1 294. National insurance clerks
1 295. Tourist- and travel agency clerks
3 296. Forwarders, transport planners
SALES WORK
2 311. Advertising salesmen
2 321. Buyers
5 332. Salesmen (wholesale)
67 333. Shop assistants
3 339. Sales workers (goods) nec
AGRICULTURAL, FORESTRY AND FISHING WORK
5 400. Working proprietors in agriculture and forestry
1 404. Forestry managers and supervisors
25 411. Agricultural workers
1 412. Livestock, dairy and poultry farm workers
5 413. Horticultural workes
14 441. Loggers
1 449. Forestry workers nec
MINING, QUARRYING AND PETROLEUM EXTRACTION WORK
1 501. Miners, quarrymen
1 509. Mining and quarrying workers nec
TRANSPORT AND COMMUNICATIONS WORK
2 611. Ships' deck ratings
2 640. Bus and taxi drivers
9 641. Lorry and pickup drivers
12 643. Delivery men
1 651. Air traffic controllers
3 652. Railway conductors and yardmen
5 671. Postmasters, post office clerks
5 673. Telecommunications clerks
8 681. Mail sorting clerks and postmen
9 682. Messengers
1 689. Mail distributon clerks and messengers nec
PRODUCTION WORK
1 703. Weavers, knitters
1 709. Textile workers nec
1 712. Fur tailors
2 715. Patternmakers and cutters
8 716. Dressmakers and sewers
1 719. Tailoring and sewing workers nec
1 722. Shoe cutters, lasters and sewers
1 723. Leather goods makers
1 733. Rolling-mill workers
4 736. Blacksmiths, hammersmiths and forgers
1 739. Metal processing workers nec
1 745. Jewellery and precious metal workers
12 751. Toolmakers, machinetool setters and operators
9 752. Machinery fitters
12 753. Machine assemblers and engine mechanics
8 754. Sheet-metal workers
2 755. Plumbers and pipe fitters
6 756. Welders and flame cutters
5 757. Structural metal prepares and erectors
7 759. Metal machine workers and building metal workers
nec
8 761. Electrical fitters and wiremen
1 763. Electrical machinery assemblers and repairmen
5 764. Tele- and electronic repairmen and fitters
2 765. Electric linemen
6 772. Wood processing workers
1 776. Cabinet makers and joiners
4 777. Woodworking machine operators
2 779. Wood workers nec
6 781. Building painters
2 782. Floor layers
1 789. Painters and floor layers nec
3 791. Bricklayers
6 793. Concrete workers
5 794. Construction carpenters
1 799. Building and construction workers nec
1 801. Type-setters
3 803. Printing pressmen
1 804. Bookbinders
1 805. Photographic laboratory workers
2 809. Printing workers nec
4 822. Bakers and pastry cooks
1 823. Chocolate and confectionary makers
2 826. Butchers and meat preparers
1 827. Dairy workers
1 829. Food processing and tobacco workers nec
1 831. Chemical process workers
1 835. Plastic products makers
2 842. Paper makers
2 851. Cast concrete product makers
4 859. Other production and related workers nec
1 861. Stationary engine and related equipment operators
2 872. Earth-moving and related machinery operators
3 873. Truck and conveyor operators
1 879. Material handling and related equipment operators
nec
5 881. Packers
2 882. Store and warehouse workers
1 891. Unskilled manual workers
1 901. Firefighters
1 902. Chimney sweeps
2 903. Policemen
3 912. Cooks
10 913. Kitchen assistants, restaurants workers
7 914. Waiters
1 915. Hotel managers, hotel receptionists
1 919. Undocumented code
35 921. Housekeepers, domestic helps
1 931. Building caretakers
8 932. Cleaners
1 939. Caretakers and cleaners nec
4 941. Hairdressers, beauticians
1 942. Bath attendants
2 951. Launderers and dry-cleaners
1 961. Coaches, horse trainers
4 981. Officers
47 999. No answer
VAR 96 FIRST JOB: SEI 15A Loc 203 width 2
MD=99
Q.15a(1). First job: SEI-group
<See Q.15a for complete question text>
121 11. Unskilled employees in goods production
208 12. Unskilled employees in service production
100 21. Skilled employees in goods production
30 22. Skilled employees in service production
83 33. Assistant non-manual employees, lower level
31 36. Assistant non-manual employees, higher level
93 46. Intermediate non-manual employees
30 56. Professionals and other higher non-manual employees
57. Upper-level executives
60. Self employed professionals
1 79. Self-employed without employees, entrepeneurs
5 89. Medium-scale farmers
47 99. No answer
VAR 97 FIRST JOB EMPLOYED 15C Loc 205 width 1
MD=9
Q.15c. Were you self-employed, or did you work for someone
else?
11 1. Selfemployed without employees
5 2. Selfemployed with employeed
685 3. Employed
48 9. No answer
VAR 98 PRESENT OCCUPATION 16A Loc 206 width 3
MD=999
Q.16a. What is your present occupation? If you do not have
a job right now please give your last occupation?
Remark: This is a question with an open answer that has been
coded according to the occupational classification NYK which
is roughly comparable to the ISO-codings (International
Standard Classification of Occupation).
PROFESSIONAL, TECHNICAL AND RELATED WORK
8 001. Architects, civil engineers and civil engineering
technicians
2 002. Electrical engineers and technicians
9 003. Electronics and teletechnical communications
engineers and technicians
11 004. Mechanical engineers and technicians
5 005. Chemical engineers and technicians
2 006. Metallurgists, mining and petroleum engineers and
technicians
7 007. Engineers and engineering technicians nec
3 008. Surveyors and cartographical engineers and
technicians
5 009. Technical workers nec
1 012. Laboratory technicians and assistants (not medical
lab)
1 013. Laboratory assistans (medical lab)
1 015. Meteorologits, hydrologists
2 016. Chemists, physicists, laboratory engineers
1 022. Agricultural advisors
2 030. Principals, headmasters
4 031. University and higher education teachers
7 032. Secondary education teachers (theoretical
subjects)
17 033. Primary education teachers
3 034. Secondary education teachers
(aesthetical-practical subjects)
2 035. Technical education teachers
9 036. Pre-primary education teachers,
recreationactivitiesorganizers
1 037. Educational methods advisors
4 039. Educational workers nec
3 041. Ministers of religion
1 049. Religious workers nec
1 053. Other jursits (private practice)
7 061. Journalists, authors
1 071. Sculptors, painters and commercial artists
1 074. Photographers
3 076. Composers and musicians
1 077. Producers, directors, stage managers (film,
theatre)
2 079. Artistic workers nec
HEALTH AND NURSING WORK, SOCIAL WORK
4 101. Physicians and surgeons
7 103. Registered nurses
2 104. Midwives
4 105. Medical technicians
3 106. Attendants in psychiatric care
27 107. Assistant nurses and hospital aids
2 109. Health and nursing workers nec
1 112. Occupational therapists
3 121. Dentists
1 123. Dental assistants
1 131. Pharmacists
4 139. Pharmaceutical workers nec
3 151. Social and social welfare workers
2 152. Managers of social welfare instutions
18 153. Childrens nurses
17 154. Home helpers
1 155. Managers and assistans (fore the mentally
retarded)
1 159. Social workers nec
2 162. Safety engineers, ergonomists
1 169. Environment and health protection workers nec
1 191. Psychologists
ADMINISTRATIVE, MANAGERIAL AND CLERICAL WORK
3 201. Legislators and administrators (central
government)
2 202. Legislators and administrators (county council
administration)
3 203. Legislators and administrators (local government)
15 211. Business administrators
1 212. Organisation administrators
1 219. Business administrative workers nec
4 221. Personnel officers
3 222. Employment exchange officials
4 231. Auditors
9 232. Financial managers, accountants
7 241. Secretaries, stenographers
1 242. Typists
19 249. Clerical and related workers nec
4 251. Systems analysts, programmers
1 252. Computer operators
1 261. Economists
3 291. Cost computing and estimating clerks
5 292. Bank tellers and finance clerks
5 293. Insurance clerks
4 294. National insurance clerks
2 295. Tourist- and travel agency clerks
1 296. Forwarders, transport planners
3 297. Property managers
4 299. Administrative, managerial and clerical workers
nec
SALES WORK
5 311. Advertising salesmen
2 312. Real estate and securities brokers
1 313. Business services salesmen
2 321. Buyers
7 331. Working proprietors, wholesale and retail trade
14 332. Salesmen (wholesale)
30 333. Shop assistants
1 339. Sales workers nec
AGRICULTURAL, FORESTRY AND FISHING WORK
19 400. Working proprietors in agriculture and forestry
2 404. Forestry managers and supervisors
3 411. Agricultural workers
1 412. Livestock, dairy and poultry farm workers
1 413. Horticultural workers
1 414. Fur-bearing animal farm workers and reindeer
herdsmen
2 441. Loggers
TRANSPORT AND COMMUNICATIONS WORK
1 611. Ships' deck ratings
1 621. Aircraft pilots, navigators and flight engineers
2 631. Railway engine drivers
9 640. Bus and taxi drivers
18 641. Lorry and pickup drivers
1 642. Tram and underground drivers
2 652. Railway conductors and yardmen
1 664. Road transport supervisors
1 669. Transport supervisors nec
5 671. Postmasters, post office clerks
1 673. Telecommunications clerks
3 674. Telephone operators
7 681. Mail sorting clerks and postmen
4 682. Messengers
PRODUCTION WORK
3 716. Dressmakers and sewers
1 733. Rolling-mill workers
1 737. Metal casters and moulders
2 739. Metal processing workers nec
2 741. Precision-instrument makers
1 744. Dental technicians
1 749. Precision-tool manufacturing workers nec
7 751. Toolmakers, machinetool setters and operators
8 752. Machinery fitters
11 753. Machine assemblers and engine mechanics
4 754. Sheet-metal workers
1 755. Plumbers and pipe fitters
3 756. Welders and flame cutters
5 759. Metal machine workers and building metal workers
nec
4 761. Electrical fitters and wiremen
1 763. Electrical machinery assemblers and repairmen
6 764. Tele- and electronic repairmen and fitters
2 765. Electric linemen
2 772. Wood processing workers
1 777. Woodworking machine operators
6 781. Building painters
3 782. Floor layers
3 783. Painters (others than building)
3 791. Bricklayers
9 793. Concrete workers
7 794. Construction carpenters
1 796. Glaziers
1 799. Building and construction workers nec
2 801. Type-setters
1 802. Printing and photo engravers
1 803. Printing pressmen
1 805. Photographic laboratory workers
1 809. Printing workers nec
1 819. Glass, pottery and tile workers nec
2 822. Bakers and pastry cooks
4 826. Butchers and meat preparers
3 829. Food processing and tobacco workers nec
1 831. Chemical process workers
2 835. Plastic products makers
1 841. Paper pulp preparers
2 842. Paper makers
2 843. Paper product makers
3 859. Other production and related workers nec
1 861. Stationary engine and related equipment operators
5 872. Earth-moving and related machinery operators
4 873. Truck and conveyor operators
4 881. Packers
3 882. Store and warehouse workers
1 901. Firefighters
2 902. Chimney sweeps
2 903. Policemen
1 904. Custom officials
2 911. Catering supervisors
6 912. Cooks
9 913. Kitchen assistents, restaurants workers
2 914. Waiters
5 931. Building caretakers
20 932. Cleaners
3 941. Hairdressers, beauticians
2 981. Officers
67 999. No answer
VAR 99 OCCUPATION: SEI 16A Loc 209 width 2
MD=99
Q.16a(1). Present occupation: SEI-group
<See Q.16a for complete question text>
52 11. Unskilled employees in goods production
134 12. Unskilled employees in service production
80 21. Skilled employees in goods production
38 22. Skilled employees in service production
35 33. Assistant non-manual employees, lower level
66 36. Assistant non-manual employees, higher level
125 46. Intermediate non-manual employees
64 56. Professionals and other higher non-manual employees
19 57. Upper-level executives
9 60. Self employed professionals
39 79. Self-employed without employees, entrepeneurs
21 89. Medium-scale farmers
67 99. No answer
VAR 100 SELFEMPLOYED/EMPLOYD 16C Loc 211 width 1
MD=9
Q.16c. Are you self-employed, or do you work for someone
else?
45 1. Selfemployed without employees
37 2. Selfemployed with employeed
566 3. Employed
101 9. No answer
VAR 101 PUBLIC-PRIVATE SECTOR 16 Loc 212 width 1
MD=9
Q.16e. Do you primarily work in the public or private
sector?
308 1. Public sector
315 2. Private sector
126 9. No answer
VAR 102 STATUS: FATHER VS OWN 17 Loc 213 width 1
MD=9
Q.17. Please think of your present job, or the 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) ...
64 1. Much higher than my father's
171 2. Higher than my father's
258 3. About equal
119 4. Lower than my father's
51 5. Much lower than my father's
22 8. Don't know my fathers occupation
64 9. No answer
VAR 103 EDUCATION 18 Loc 214 width 1
MD=9
Q.18. What is your highest educational qualification?
236 1. Folkskola eller grundskola (primary school)
242 2. Realskola, folkhögskola, yrkesskola eller 2-årig
gymnasielinje (secondary 2-year)
108 3. Studentexamen, examen från 3-årig eller 4-årig
gymnasielinje (eller studerande på 3-årig eller
4-årig gymnasielinje) (secondary 3-year)
150 4. Universiitets- eller högskolestudier (eller
studerande på universitet eller högskola)
(university)
13 9. No answer
VAR 104 INCOME PER MONTH 19 Loc 215 width 1
MD=9
Q.19. What is your approximate income per month before
taxes?
77 1. - 5 999 SEK
94 2. 6 000 - 8 999 SEK
177 3. 9 000 - 11 999 SEK
169 4. 12 000 - 14 999 SEK
102 5. 15 000 - 17 999 SEK
23 6. 18 000 - 20 999 SEK
49 7. 21 000 SEK -
58 9. No answer
VAR 105 PARENTS NATIONALITY 20 Loc 216 width 1
MD=9
Q.20. Were both your parents Swedish citizens when you were
born?
667 1. Swedish citizen
13 2. One was non-Swedish citizen
64 3. Both were non-Swedish citizens
5 9. No answer
VAR 106 POLITICAL PARTY 21 Loc 217 width 1
MD=9
Q.21. Which political party do you most agree with?
228 0. None
46 1. Centerpartiet (Centre party)
58 2. Folkpartiet liberalerna (Liberals)
32 3. Kristdemokratiska samhällspartiet (Christian
democrates)
19 4. Miljöpartiet - de gröna (Ecologists)
125 5. Moderata samlingspartiet (Liberal conservatives)
151 6. Socialdemokratiska arbetarpartiet (Social democrats)
23 7. Vänsterpartiet (Socialists)
24 8. Other
43 9. No answer
VAR 107 MARITAL STATUS 22 Loc 218 width 1
MD=9
Q.22. Are you single or married/cohabiting?
206 1. Single
538 2. Married/cohabiting
5 9. No answer
VAR 108 SPOUSES OCCUPATION 23A Loc 219 width 3
MD=999
Q.23a. What is your spouses present occupation? If he/she
do not have a job right now please write down the last
regular job he/she has had.
Remark: This is a question with an open answer that has been
coded according to the occupational classification NYK which
is roughly comparable to the ISO-codings (International
Standard Classification of Occupations).
PROFESSIONAL, TECHNICAL AND RELATED WORK
11 001. Architects, civil engineers and civil engineering
technicians
4 002. Electrical engineers and technicians
3 003. Electronics and teletechnical communications
engineers and technicians
5 004. Mechanical engineers and technicians
1 005. Chemical engineers and technicians
2 006. Metallurgists, mining and petroleum engineers and
technicians
3 007. Engineers and engineering technicians nec
1 008. Surveyors and cartographical engineers and
technicians
8 009. Technical workers nec
1 012. Laboratory technicians and assistants (not medical
lab)
2 013. Laboratory assistans (medical lab)
3 016. Chemists, physicists, laboratory engineers
1 021. Biologists
1 022. Agricultural advisors
1 030. Principals, headmasters
3 031. University and higher education teachers
2 032. Secondary education teachers (theoretical
subjects)
14 033. Primary education teachers
2 034. Secondary education teachers
(aesthetical-practical subjects)
2 035. Technical education teachers
5 036. Pre-primary education teachers,
recreationactivities organizers
2 039. Educational workers nec
2 049. Religious workers nec
3 061. Journalists, authors
1 063. Programme editors (radio, TV)
1 071. Sculptors, painters and commercial artists
1 073. Designers
1 074. Photographers
1 076. Composers and musicians
1 077. Producers, directors, stage managers (film,
theatre)
1 079. Artistic workers nec
1 091. Librarians
HEALTH AND NURSING WORK, SOCIAL WORK
3 101. Physicians and surgeons
1 102. Nursing administrators
11 103. Registered nurses
2 104. Midwives
1 105. Medical technicians
3 106. Attendants in psychiatric care
13 107. Assistant nurses and hospital aids
1 109. Health and nursing workers nec
4 111. Physiotherapists
2 112. Occupational therapists
1 121. Dentists
3 123. Dental assistants
1 131. Pharmacists
1 139. Pharmaceutical workers nec
5 151. Social and social welfare workers
4 152. Managers of social welfare instutions
13 153. Childrens nurses
11 154. Home helpers
1 155. Managers and assistans (fore the mentally
retarded)
1 162. Safety engineers, ergonomists
1 192. Dietitians and nutrionists
1 199. Health, nursing and social workers nec
ADMINISTRATIVE, MANAGERIAL AND CLERICAL WORK
1 201. Legislators and administrators (central
government)
2 203. Legislators and administrators (local government)
9 211. Business administrators
3 212. Organisation administrators
3 221. Personnel officers
3 222. Employment exchange officials
1 229. Personnel workers nec
2 231. Auditors
8 232. Financial managers, accountants
3 239. Accounting workers nec
8 241. Secretaries, stenographers
2 242. Typists
24 249. Clerical and related workers nec
3 251. Systems analysts, programmers
1 259. Computer processing workers (ADP) nec
3 261. Economists
1 291. Cost computing and estimating clerks
2 292. Bank tellers and finance clerks
1 293. Insurance clerks
1 295. Tourist- and travel agency clerks
1 296. Forwarders, transport planners
6 297. Property managers
1 299. Administrative, managerial and clerical workers
nec
SALES WORK
1 311. Advertising salesmen
2 312. Real estate and securities brokers
1 319. Sales workers (business services and assets) nec
3 321. Buyers
10 331. Working proprietors, wholesale and retail trade
6 332. Salesmen (wholesale)
26 333. Shop assistants
1 339. Sales workers nec
AGRICULTURAL, FORESTRY AND FISHING WORK
16 400. Working proprietors in agriculture and forestry
1 401. Horticultural farmers
1 411. Agricultural workers
1 412. Undocumented code
2 413. Horticultural workers
3 441. Loggers
1 462.
MINING, QUARRYING AND PETROLEUM EXTRACTION WORK
1 501. Miners, quarrymen
1 509. Mining and quarrying workers nec
1 631. Railway engine drivers
6 640. Bus and taxi drivers
13 641. Lorry and pickup drivers
1 643. Delivery men
1 649. Motor vehicle drivers and delivery workers nec
2 652. Railway conductors and yardmen
1 669. Transport supervisors nec
2 671. Postmasters, post office clerks
1 674. Telephone operators
5 681. Mail sorting clerks and postmen
2 682. Messengers
PRODUCTION WORK
1 711. Tailors
1 716. Dressmakers and sewers
1 737. Metal casters and moulders
2 739. Metal processing workers nec
2 741. Precision-instrument makers
5 751. Toolmakers, machinetool setters and operators
5 752. Machinery fitters
4 753. Machine assemblers and engine mechanics
2 754. Sheet-metal workers
3 755. Plumbers and pipe fitters
3 756. Welders and flame cutters
2 759. Metal machine workers and building metal workers
nec
2 761. Electrical fitters and wiremen
4 764. Tele- and electronic repairmen and fitters
2 765. Electric linemen
2 772. Wood processing workers
3 777. Woodworking machine operators
3 781. Building painters
2 783. Painters (others than building)
1 791. Bricklayers
4 793. Concrete workers
7 794. Construction carpenters
2 803. Printing pressmen
2 809. Printing workers nec
1 822. Bakers and pastry cooks
1 826. Butchers and meat preparers
1 835. Plastic products makers
1 839. Chemical processing workers nec
1 842. Paper makers
1 851. Cast concrete product makers
1 854. Stone cutters and carvers
3 859. Other production and related workers nec
2 861. Stationary engine and related equipment operators
1 872. Earth-moving and related machinery operators
1 873. Truck and conveyor operators
1 881. Packers
2 882. Store and warehouse workers
3 901. Firefighters
4 903. Policemen
1 909. Civilian protective service workers nec
2 911. Catering supervisors
3 912. Cooks
11 913. Kitchen assistents, restaurants workers
5 914. Waiters
2 931. Building caretakers
13 932. Cleaners
3 941. Hairdressers, beauticians
1 951. Launderers and dry-cleaners
3 990. Workers reporting occupations unidentifiable or
inadequately described
241 999. No answer
VAR 109 SPOUSE: SEI 23A Loc 222 width 2
MD=99
Q.23a(1). Spouse: SEI-group
<See Q.23a for complete question text>
30 11. Unskilled employees in goods production
101 12. Unskilled employees in service production
57 21. Skilled employees in goods production
23 22. Skilled employees in service production
34 33. Assistant non-manual employees, lower level
49 36. Assistant non-manual employees, higher level
105 46. Intermediate non-manual employees
39 56. Professionals and other higher non-manual employees
18 57. Upper-level executives
6 60. Self employed professionals
30 79. Self-employed without employees, entrepeneurs
16 89. Medium-scale farmers
241 99. No answer
VAR 110 SPOUSE EMPLOYED 23C Loc 224 width 1
MD=9
Q.23c. Are your spouse self-employed, or does he/she work
for someone else?
34 1. Selfemployed without employees
27 2. Selfemployed with employeed
423 3. Employed
265 9. No answer
VAR 111 SPOUSE: MONTH INCOME 24 Loc 225 width 1
MD=9
Q.24. What is your spouses approximate income per month
before taxes?
43 1. - 5 999 SEK
65 2. 6 000 - 8 999 SEK
129 3. 9 000 - 11 999 SEK
122 4. 12 000 - 14 999 SEK
57 5. 15 000 - 17 999 SEK
24 6. 18 000 - 20 999 SEK
34 7. 21 000 SEK -
275 9. No answer
VAR 112 ANSWER Loc 226 width 1
Answer
Kod: 1 2 4
Frek: 641 107 1
VAR 113 INFL Loc 227 width 2
Infl
Kod: 10 11 15 64
Frek: 429 107 212 1
VAR 114 V96 Loc 229 width 2
MD=10
V96
Kod: 1 2 3 4 5 6 7 8 10
Frek: 131 80 83 105 57 6 30 16 241