ATTITUDES TOWARDS FAMILY AND GENDER ROLES 1994
A SWEDISH SURVEY
SSD 0481
Principal investigator
Stefan Svallfors
Department of Sociology
Umeå university
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Svensk samhällsvetenskaplig datatjänst
Pilgatan 19A
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ACKNOWLEDGEMENT OF ASSISTANCE
All manuscripts utilizing data made available through the
Swedish Social Science Data Service (SSD) 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 adaptation of this statement with the parentheses
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 TOWARDS FAMILY AND GENDER
ROLES 1994 - A SWEDISH SURVEY were originally collected by
Stefan Svallfors, Department of Sociology, Umeå university.
Neither the collector of the original data nor SSD bear any
responsibility for the analyses or interpretations presented
here.
According to an agreement between the principal investigator
and the Swedish Social Science Data Service ATTITUDES TOWARDS
FAMILY AND GENDER ROLES 1994 - 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).
BACKGROUND
This survey is part of the International Social Survey Program
(ISSP). The 1994 survey was conducted in 22 countries.
Context 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.
Sample size: 2 000 individuals
Fieldwork:
The fieldwork was conducted by Statistics Sweden, February
1994 to May 1994.
n %
Original sample: 2 000
Emigrated, living in institutions,
no known address 12
Net sample: 1 988 100.0
Responses: (weighted) 1 472 74.0
- by mail 1 093 55.0
- by telephone 379 19.1
Responses: (unweighted) 1 272 64.0
- by mail 1 093 55.0
- by telephone 179 9.0
Non-responses: 716 36.0
- refusals 182 9.2
- no contact 534 26.8
Weighting:
A subsample was drawn among those who had still not responded
after two subsequent reminders. About 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 2.05. In order
to keep the representativeness of the sample, all calculations
should be made using the weight.
PUBLICATIONS
Edlund, J., Sundström, E. & Svallfors, S. (1994): Attitudes
towards family and gender roles - A Swedish Survey. Codebook
for Machine-Readable Datafile. Umeå: Department of Sociology.
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 14 (2)BOTH CONTRIBUTE INCOME 2 (3)LOC 28 width 1
(4)MD=9
(6) 2 And, do you agree or disagree...? Please tick one
box for the alternative most in line with your
opinion.
2a Both the man and woman should contribute to the
household income.
(7) ......................
(8) (9) (10)
411 1. Strongly agree
606 2. Agree
181 3. Neither agree nor disagree
41 4. Disagree
9 5. Strongly disagree
15 8. Don't know
16 9. NA
............................................................
(1) Variablenumber.
(2) Variable name. An abbreviation of the question at issue
(maximum of 24 characters).
(3) Position. Indicates the starting location and width of the
variable.
(4) Missing data. Indicates the code values of missing data.
(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 occurrence of each code value.
(9) Code values occurring in the data.
(10) Textual definitions of the codes.
SSD DOCUMENTATION
The documentation has been processed using a computer-based
documentation system developed at the Swedish Social Science
Data Service. The system is called A-side, Archival System for
Interoperable Data Exchange.
Variable list
1 SSD Study NR 0481
2 SSD Edition NR 1
3 SSD Part NR 001
4 ID-nummer
5 Type of interview
6 Weight
7 A working mother can establish a warm relationship
with her children
8 A pre-school child suffer if the mother works
9 Family life suffers when the woman has a full-time job
10 Women wants home and children
11 Being a housewife is just as fullfilling as working
for pay
12 Having a job is the best way for a woman to be an
independent person
13 Women have to work to support their families
14 Both the man and woman should contribute to the
household income
15 A woman's job is to look after the home and family
16 Not good if the man stays at home and the woman goes
out to work
17 Family life suffers because men concentrate too much
on their work
18 Women work outside home: After marrying and before
there are children
19 Women work outside home: Child under school age
20 Women work outside home: School child
21 Women work outside home: Children left home
22 Married people are generally happier than unmarried
people
23 Marriage gives financial security
24 The main purpose of marriage is to have children.
25 Better to have a bad marriage than no marriage at all
26 People who want children ought to get married
27 One parent can bring up a child as well as two parents
together
28 All right for a couple to live together without
getting married
29 Good idea for a couple who intend to get married to
live together first
30 Divorce best solution when a couple can't work out
their problems
31 Ideal number of children for a family
32 Watching children grow up is life's greatest joy
33 Children interferes too much with the freedom of
parents
34 Empty life without children
35 When there are children in the family parents should
stay together
36 Married couple without children should stay together
37 Important in preparing children for life
38 Mother worked for pay
39 Mother alive
40 Visit mother
41 Divorced
42 Partner divorced
43 Living together before getting married
44 Ever lived together with a partner without marrying
45 Working women should receive paid maternity leave
46 Financial benefits for child care when both parents
work
47 Legal right to abortion
48 Sexual relations before marriage
49 Sexual relations in the early teens
50 Sexual relations outside of marriage
51 Sexual relations with someone of the same sex
52 Sexual harassment at work
53 Family income distribution
54 Housework: Laundering
55 Housework: Small repairs
56 Housework: Cares for sick family members
57 Housework: Shops for groceries
58 Housework: Decides what to have for dinner
59 Earns most in the family
60 Work outside home after marrying and before having
children
61 Work outside home with pre-school child
62 Work outside home with school child
63 Work outside home after the children left home
64 Partner worked outside home after marrying and before
having children
65 Partner worked outside home with pre-school child
66 Partner worked outside home with school child
67 Partner worked outside home after the children left
home
68 Current employment status
69 Hours worked weekly
70 Occupation
71 Occupation - socio-economic classification
72 Employee or self-employed
73 Supervises other
74 Private or public sector
75 Trade union membership
76 Education: Highest educational qualification
77 Education: Years in school
78 Income per month
79 Marital status
80 Current employment status of spouse/partner
81 Spouse: Occupation
82 Spouse: Occupation - socio-economic classification
83 Spouse: Employee or self-employed
84 Family income
85 2nd person in household: Age
86 2nd person in household: Sex
87 3rd person in household: Age
88 3rd person in household: Sex
89 4th person in household: Age
90 4th person in household: Sex
91 5th person in household: Age
92 5th person in household: Sex
93 6th person in household: Age
94 6th person in household: Sex
95 7th person in household: Age
96 7th person in household: Sex
97 8th person in household: Age
98 8th person in household: Sex
99 9th person in household: Age
100 9th person in household: Sex
101 Parents citizens of Sweden
102 Party affiliation
103 Subjective social class
104 Church or religious group belonging
105 Religious denomination
106 Frequency of religious attendance
107 Sex
108 Age
109 Marital status
110 Size of household
111 Primary and present nationality
112 Birth country
113 Region
114 Urban - rural area
115 Annual income
116 Education II
117 Employee or self-employed
118 Number of employees
VAR 1 SSD STUDY NR 0481 Loc 1 width 4
Swedish Social Science Data Service study 0481
VAR 2 SSD EDITION NR 1 Loc 5 width 1
July 1995
VAR 3 SSD PART NR 001 Loc 6 width 3
SSD Part Identification NR
VAR 4 ID-NUMMER Loc 9 width 7
ID-nummer
VAR 5 TYPE OF INTERVIEW Loc 16 width 1
Type of interview
1093 1. Mail questionnaire
179 2. Telephone interview
VAR 6 WEIGHT Loc 17 width 4
Weight. 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 2.12. In
order to keep the representativeness of the sample, all
calculations should be made using the weight.
1093 100. Mail questionnaire
179 212. Telephone interview
VAR 7 WARM RELATION CHILD OK 1 Loc 21 width 1
MD=9
1 To begin, we have some questions about women. Do you agree
or disagree...? Please tick one box for the alternative most
in line with your opinion.
1a A working mother can establish just as warm and secure
relationship with her children as a mother who does not work.
282 1. Strongly agree
549 2. Agree
167 3. Neither agree nor disagree
193 4. Disagree
43 5. Strongly disagree
26 8. Don't know
12 9. NA
VAR 8 PRE SCHOOL CHILD SUFF. 1 Loc 22 width 1
MD=9
1b A pre-school child is likely to suffer if his or her
mother works.
<See Q.1 for complete questiontext>
79 1. Strongly agree
267 2. Agree
280 3. Neither agree nor disagree
404 4. Disagree
182 5. Strongly disagree
53 8. Don't know
7 9. NA
VAR 9 FAMILY LIFE SUFFERS 1 Loc 23 width 1
MD=9
1c All in all, family life suffers when the woman has a
full-time job.
<See Q.1 for complete questiontext>
82 1. Strongly agree
291 2. Agree
265 3. Neither agree nor disagree
359 4. Disagree
218 5. Strongly disagree
44 8. Don't know
13 9. NA
VAR 10 WISHING HOME AND CHILD 1 Loc 24 width 1
MD=9
1d A job is all right, but what a woman really wants is a
home and children.
<See Q.1 for complete questiontext>
76 1. Strongly agree
314 2. Agree
323 3. Neither agree nor disagree
256 4. Disagree
162 5. Strongly disagree
119 8. Don't know
22 9. NA
VAR 11 HOUSEHOLD SATISFIES 1 Loc 25 width 1
MD=9
1e Being a housewife is just as fullfilling as working for
pay.
<See Q.1 for complete questiontext>
85 1. Strongly agree
249 2. Agree
399 3. Neither agree nor disagree
303 4. Disagree
87 5. Strongly disagree
136 8. Don't know
13 9. NA
VAR 12 WORKING BEST FOR INDEP 1 Loc 26 width 1
MD=9
1f Having a job is the best way for a woman to be an
independent person.
<See Q.1 for complete questiontext>
218 1. Strongly agree
538 2. Agree
261 3. Neither agree nor disagree
135 4. Disagree
42 5. Strongly disagree
66 8. Don't know
12 9. NA
VAR 13 WORK TO SUPPORT FAMILY 1 Loc 27 width 1
MD=9
1g Most women have to work these days to support their
families.
<See Q.1 for complete questiontext>
492 1. Strongly agree
655 2. Agree
63 3. Neither agree nor disagree
25 4. Disagree
7 5. Strongly disagree
22 8. Don't know
8 9. NA
VAR 14 BOTH CONTRIBUTE INCOME 2 Loc 28 width 1
MD=9
2 And, do you agree or disagree ...? Please tick one box for
the alternative most in line with your opinion.
2a Both the man and woman should contribute to the household
income.
411 1. Strongly agree
606 2. Agree
181 3. Neither agree nor disagree
41 4. Disagree
9 5. Strongly disagree
15 8. Don't know
9 9. NA
VAR 15 HOUSEHOLD WOMANS JOB 2 Loc 29 width 1
MD=9
2b A man's job is to earn money; a woman's job is to look
after the home and family.
<See Q.2 for complete questiontext>
31 1. Strongly agree
111 2. Agree
236 3. Neither agree nor disagree
427 4. Disagree
439 5. Strongly disagree
18 8. Don't know
10 9. NA
VAR 16 NOT GOOD IF WOMAN WORK 2 Loc 30 width 1
MD=9
2c It is not good if the man stays at home and cares for the
children and the woman goes out to work.
<See Q.2 for complete questiontext>
51 1. Strongly agree
136 2. Agree
298 3. Neither agree nor disagree
418 4. Disagree
303 5. Strongly disagree
57 8. Don't know
9 9. NA
VAR 17 FAMILY SUFF MAN WORKG 2 Loc 31 width 1
MD=9
2d Family life often suffers because men concentrate too much
on their work.
<See Q.2 for complete questiontext>
85 1. Strongly agree
448 2. Agree
364 3. Neither agree nor disagree
240 4. Disagree
52 5. Strongly disagree
72 8. Don't know
11 9. NA
VAR 18 WOMEN WORK: NO CHILD 3 Loc 32 width 1
MD=9
3 Do you think that women should work outside the home
full-time, part time or not at all under those circumstances?
Please tick one box for the alternative most in line with
your opinion.
3a After marrying and before there are children.
1123 1. Work full-time
75 3. Work part-time
3 5. Stay at home
58 8. Don't know
13 9. NA
VAR 19 WOM WORK: PRE-SCHOOL 3 Loc 33 width 1
MD=9
3b When there is a child under school age.
<See Q.3 for complete questiontext>
100 1. Work full-time
724 3. Work part-time
345 5. Stay at home
83 8. Don't know
20 9. NA
VAR 20 WOM WORK: SCHOOL CHILD 3 Loc 34 width 1
MD=9
3c After the youngest child starts school.
<See Q.3 for complete questiontext>
295 1. Work full-time
833 3. Work part-time
39 5. Stay at home
80 8. Don't know
25 9. NA
VAR 21 WOM WORK: CHILD MOVED 3 Loc 35 width 1
MD=9
3d After the children leave home.
<See Q.3 for complete questiontext>
1045 1. Work full-time
131 3. Work part-time
4 5. Stay at home
74 8. Don't know
18 9. NA
VAR 22 MARRIAGE: HAPPIER 4 Loc 36 width 1
MD=9
4 Do you agree or disagree ...? Please tick one box for the
alternative most in line with your opinion.
4a Married people are generally happier than unmarried
people.
53 1. Strongly agree
156 2. Agree
431 3. Neither agree nor disagree
260 4. Disagree
208 5. Strongly disagree
155 8. Don't know
9 9. NA
VAR 23 MARRIAGE: FIN SECURITY 4 Loc 37 width 1
MD=9
4b The main advantage of marriage is that it gives financial
security.
<See Q.4 for complete questiontext>
60 1. Strongly agree
210 2. Agree
338 3. Neither agree nor disagree
360 4. Disagree
215 5. Strongly disagree
79 8. Don't know
10 9. NA
VAR 24 MARRIAGE: CHILDREN 4 Loc 38 width 1
MD=9
4c The main purpose of marriage these days is to have
children.
<See Q.4 for complete questiontext>
17 1. Strongly agree
132 2. Agree
291 3. Neither agree nor disagree
445 4. Disagree
246 5. Strongly disagree
131 8. Don't know
10 9. NA
VAR 25 MARR: BETTER THAN SING 4 Loc 39 width 1
MD=9
4d It is better to have a bad marriage than no marriage at
all.
<See Q.4 for complete questiontext>
26 1. Strongly agree
24 2. Agree
61 3. Neither agree nor disagree
344 4. Disagree
774 5. Strongly disagree
35 8. Don't know
8 9. NA
VAR 26 MARR: IF CHILDREN WANT 4 Loc 40 width 1
MD=9
4e People who want children ought to get married.
<See Q.4 for complete questiontext>
159 1. Strongly agree
356 2. Agree
276 3. Neither agree nor disagree
256 4. Disagree
186 5. Strongly disagree
32 8. Don't know
7 9. NA
VAR 27 SINGLE RAISE CHILD 4 Loc 41 width 1
MD=9
4f One parent can bring up a child as well as two parents
together.
<See Q.4 for complete questiontext>
107 1. Strongly agree
313 2. Agree
271 3. Neither agree nor disagree
389 4. Disagree
136 5. Strongly disagree
47 8. Don't know
9 9. NA
VAR 28 LIVE TOGETHER NOT MARR 4 Loc 42 width 1
MD=9
4g It is all right for a couple to live together without
intending to get married.
<See Q.4 for complete questiontext>
448 1. Strongly agree
586 2. Agree
128 3. Neither agree nor disagree
50 4. Disagree
38 5. Strongly disagree
14 8. Don't know
8 9. NA
VAR 29 LIVE TOGETHER BEF MARR 4 Loc 43 width 1
MD=9
4h It's a good idea for a couple who intend to get married to
live together first.
<See Q.4 for complete questiontext>
513 1. Strongly agree
572 2. Agree
111 3. Neither agree nor disagree
27 4. Disagree
22 5. Strongly disagree
21 8. Don't know
6 9. NA
VAR 30 DIVORCE BEST SOLUTION 4 Loc 44 width 1
MD=9
4i Divorce is usually the best solution when a couple can't
seem to work out their marriage problems.
<See Q.4 for complete questiontext>
211 1. Strongly agree
462 2. Agree
295 3. Neither agree nor disagree
144 4. Disagree
54 5. Strongly disagree
97 8. Don't know
9 9. NA
VAR 31 IDEAL NUMBER OF CHILDR 5 Loc 45 width 2
MD=99
5 All in all, what do you think is the ideal number of
children for a family to have?
8 01. One child
741 02. Two children
329 03. Three children
65 04. Four children
9 05. Five children
3 06. Six children
2 07. Seven children
1 08. Eight children
1 09. Nine children
113 99. NA
VAR 32 CHILDREN GROWING A JOY 6 Loc 47 width 1
MD=9
6 Do you agree or disagree? Please tick one box for the
alternative most in line with your opinion.
6a Watching children grow up is life's greatest joy.
615 1. Strongly agree
472 2. Agree
86 3. Neither agree nor disagree
14 4. Disagree
3 5. Strongly disagree
75 8. Don't know
7 9. NA
VAR 33 CHILD INTERF FREEDOM 6 Loc 48 width 1
MD=9
6b Having children interferes too much with the freedom of
parents.
<See Q.6 for complete questiontext>
7 1. Strongly agree
55 2. Agree
252 3. Neither agree nor disagree
575 4. Disagree
323 5. Strongly disagree
46 8. Don't know
14 9. NA
VAR 34 NO CHILD EMPTY LIFE 6 Loc 49 width 1
MD=9
6c People who have never had children lead empty lives.
<See Q.6 for complete questiontext>
66 1. Strongly agree
140 2. Agree
336 3. Neither agree nor disagree
342 4. Disagree
230 5. Strongly disagree
148 8. Don't know
10 9. NA
VAR 35 IF CHILD PARENTS STAY 6 Loc 50 width 1
MD=9
6d When there are children in the family, parents should stay
together even if they don't get along.
<See Q.6 for complete questiontext>
37 1. Strongly agree
212 2. Agree
355 3. Neither agree nor disagree
407 4. Disagree
197 5. Strongly disagree
50 8. Don't know
14 9. NA
VAR 36 MARRIED STAY TOGETHER 6 Loc 51 width 1
MD=9
6e Even when there are no children, a married couple should
stay together even if they don't get along.
<See Q.6 for complete questiontext>
17 1. Strongly agree
30 2. Agree
167 3. Neither agree nor disagree
482 4. Disagree
512 5. Strongly disagree
52 8. Don't know
12 9. NA
VAR 37 IMPORTANT FOR CHILDREN 7 Loc 52 width 1
MD=9
7 Which of these would you say is more important in preparing
children for life?
89 1. To be obedient
1092 2. To think independent
76 8. Don't know
15 9. NA
VAR 38 MOTHER WORKED FOR PAY 8 Loc 53 width 1
MD=9
8 Did your mother ever work for pay as long as one year,
before you were 14? Please tick one box only.
613 1. Yes
635 5. No
19 7. Did not grow up with mother
5 9. NA
VAR 39 MOTHER ALIVE 9 Loc 54 width 1
MD=9
9a Is your mother still alive?
829 1. Yes
442 5. No
1 9. NA
VAR 40 HOW OFTEN VISIT MOTHER 9 Loc 55 width 1
MD=0
9b How often do you see or visit your mother? Please tick one
box only.
76 1. She lives in the same household
38 2. Daily
104 3. Several times a week
177 4. At least once a week
197 5. At least once a month
186 6. Several times a year
46 7. Less often
448 0. INAP/NA
VAR 41 DIVORCED 10 Loc 56 width 1
MD=9
10 Have you ever been divorced?
206 1. Yes
754 5. No
306 7. Never married
6 9. NA
VAR 42 PARTNER DIVORCED 11 Loc 57 width 1
MD=0
11 (MARRIED OR LIVING AS MARRIED) Have your husband or wife
or partner ever been divorced? Tick one box only.
139 1. Yes
687 5. No
133 7. Never married
313 0. INAP/NA
VAR 43 LIV TOGETHER BEF MARR 12 Loc 58 width 1
MD=0
12 (MARRIED) Did you live with your husband/wife before you
got married?
400 1. Yes
350 5. No
522 0. INAP/NA
VAR 44 LIVING TOGETH NOT MAR 13 Loc 59 width 1
MD=9
13 Did you ever live together with a partner you didn't
marry?
203 1. Yes, with a previous partner
116 2. Yes, with my present partner
81 3. Yes, both with a previous partner and with my
present partner
834 5. No never
38 9. NA
VAR 45 PAID MATERNITY LEAVE 14 Loc 60 width 1
MD=9
14 Do you agree or disagree ... ?
14a Working women should receive paid maternity leave when
they have a baby.
646 1. Strongly agree
462 2. Agree
87 3. Neither agree nor disagree
21 4. Disagree
10 5. Strongly disagree
32 8. Don't know
14 9. NA
VAR 46 FIN BENEF CHILD CARE 14 Loc 61 width 1
MD=9
14b Families should receive financial benefits for child care
when both parents work.
<See Q.14 for complete questiontext>
220 1. Strongly agree
357 2. Agree
315 3. Neither agree nor disagree
241 4. Disagree
61 5. Strongly disagree
60 8. Don't know
18 9. NA
VAR 47 LEGAL RIGHT ABORTION 14 Loc 62 width 1
MD=9
14c A pregnant woman should be able to obtain a legal
abortion for any reason whatsoever, if she chooses not to
have the baby.
<See Q.14 for complete questiontext>
462 1. Strongly agree
470 2. Agree
143 3. Neither agree nor disagree
64 4. Disagree
58 5. Strongly disagree
63 8. Don't know
12 9. NA
VAR 48 SEX BEFORE MARRIAGE 15 Loc 63 width 1
MD=9
15 Do you think it is wrong or not wrong if a man and a woman
have sexual relations before marriage?
50 1. Always wrong
19 2. Almost always wrong
59 3. Sometimes wrong
1086 4. Not wrong at all
57 8. Don't know
1 9. NA
VAR 49 TEENAGERS HAVING SEX 16 Loc 64 width 1
MD=9
16 What if they are in their early teens, say under 16 years
old, in that case is it ...
361 1. Always wrong
314 2. Almost always wrong
249 3. Sometimes wrong
193 4. Not wrong at all
128 8. Don't know
27 9. NA
VAR 50 SEX OUTSIDE MARRIAGE 17 Loc 65 width 1
MD=9
17 If a married person have sexual relations with someone
other than his or her husband or wife, it is ...
834 1. Always wrong
314 2. Almost always wrong
63 3. Sometimes wrong
14 4. Not wrong at all
41 8. Don't know
6 9. NA
VAR 51 SEX WITH SAME SEX 18 Loc 66 width 1
MD=9
18 If two adults of the same sex have sexual relations with
oneanother it is ...
562 1. Always wrong
62 2. Almost always wrong
56 3. Sometimes wrong
326 4. Not wrong at all
259 8. Don't know
7 9. NA
VAR 52 SEXUAL HARASSMENT 19 Loc 67 width 1
MD=9
19 Sometimes at work people find themselves the object of
sexual advances, propositions, or unwanted sexual discussions
from co-workers or supervisors. The advances sometimes
involve physical contact and sometimes just involve sexual
conversations. Has this ever happened to you?
177 1. Yes
1068 5. No
20 7. Never have worked
7 9. NA
VAR 53 FAMILY INCOME DISTRIB 20 Loc 68 width 1
MD=0
20 (MARRIED/LIVING AS MARRIED) How do you and your
spouse/partner organize the income that one or both of you
receive?
16 1. I manage all the money and give my partner his/her
share
15 2. My partner manages all the money and gives me my
share
566 3. We pool all the money and each take out what we
need
212 4. We pool some of the money and keep the rest
separate
96 5. We each keep our own money separate
367 0. INAP/NA
VAR 54 HOUSEWORK: LAUNDERING 21 Loc 69 width 1
MD=0
21 (MARRIED/LIVING AS MARRIED) In your household who does the
following things ...?
21a Does the laundry.
381 1. Always the woman
343 2. Usually the woman
146 3. About equal or both together
18 4. Usually the man
11 5. Always the man
2 7. It is done by a third person
1 8. Don't know
370 0. INAP/NA
VAR 55 HOUSEWORK: SMALL REP. 21 Loc 70 width 1
MD=0
21b Makes small repairs around the house.
<See Q.21 for complete questiontext>
4 1. Always the woman
15 2. Usually the woman
120 3. About equal or both together
377 4. Usually the man
357 5. Always the man
24 7. It is done by a third person
3 8. Don't know
372 0. INAP/NA
VAR 56 HOUSEWORK: CARES SICK 21 Loc 71 width 1
MD=0
21c Cares for sick family members.
<See Q.21 for complete questiontext>
101 1. Always the woman
249 2. Usually the woman
470 3. About equal or both together
13 4. Usually the man
4 5. Always the man
9 7. It is done by a third person
37 8. Don't know
389 0. INAP/NA
VAR 57 HOUSEWORK: SHOPS 21 Loc 72 width 1
MD=0
21d Shops for groceries
<See Q.21 for complete questiontext>
103 1. Always the woman
273 2. Usually the woman
448 3. About equal or both together
59 4. Usually the man
17 5. Always the man
1 7. It is done by a third person
1 8. Don't know
370 0. INAP/NA
VAR 58 HOUSEWORK: DECIDE DIN 21 Loc 73 width 1
MD=0
21e Decides what to have for dinner.
<See Q.21 for complete questiontext>
141 1. Always the woman
366 2. Usually the woman
372 3. About equal or both together
20 4. Usually the man
1 5. Always the man
0 7. It is done by a third person
2 8. Don't know
370 0. INAP/NA
VAR 59 EARNS MOST IN THE FAM 22 Loc 74 width 1
MD=0
22 (MARRIED/LIVING AS MARRIED AND BOTH WORKING FOR PAY) Who
earns more money?
368 1. The man earns much more
263 2. The man earns a bit more
103 3. We earn about the same amount
57 4. The woman earns a bit more
19 5. The woman earns much more
462 0. INAP/NA
VAR 60 WORK BEFORE CHILDREN 23 Loc 75 width 1
MD=0 or GE 9
23aa (HAVE EVER HAD CHILDREN) Did you work outside the home
full-time, part-time, or not at all after marrying and before
you had children?
705 1. Worked full-time
54 3. Worked part-time
57 5. Stayed home
65 0. INAP
391 9. NA
VAR 61 WORK PRE-SCHOOL CHILD 23 Loc 76 width 1
MD=0 or GE 9
23ab (HAVE EVER HAD CHILDREN) Did you work outside the home
full-time, part-time, or not at all when a child was under
school age?
425 1. Worked full-time
228 3. Worked part-time
166 5. Stayed home
46 0. INAP
407 9. NA
VAR 62 WORK SCHOOL CHILD 23 Loc 77 width 1
MD=0 or GE 9
23ac (HAVE EVER HAD CHILDREN) Did you work outside the home
full-time, part-time, or not at all after the youngest child
started school?
381 1. Worked full-time
234 3. Worked part-time
46 5. Stayed home
187 0. INAP
424 9. NA
VAR 63 WORK CHILD LEFT HOME 23 Loc 78 width 1
MD=0 or GE 9
23ad (HAVE EVER HAD CHILDREN) Did you work outside the home
full-time, part-time, or not at all after the children left
home?
347 1. Worked full-time
94 3. Worked part-time
19 5. Stayed home
367 0. INAP
445 9. NA
VAR 64 PART WORK BEF CHILD 23 Loc 79 width 1
MD=0 or GE 9
23ba (HAVE EVER HAD CHILDREN) What about your spouse/partner
at that time - did he or she work outside the home full-time,
part-time, or not at all after marrying and before you had
children?
695 1. Worked full-time
49 3. Worked part-time
60 5. Stayed home
75 0. INAP
393 9. NA
VAR 65 PART WORK PRE-SCHOOL 23 Loc 80 width 1
MD=0 or GE 9
23bb (HAVE EVER HAD CHILDREN) What about your spouse/partner
at that time - did he or she work outside the home full-time,
part-time, or not at all when a child was under school-age?
503 1. Worked full-time
180 3. Worked part-time
123 5. Stayed home
59 0. INAP
407 9. NA
VAR 66 PART WORK SCHOOLCHILD 23 Loc 81 width 1
MD=0 or GE 9
23bc (HAVE EVER HAD CHILDREN) What about your spouse/partner
at that time - did he or she work outside the home full-time,
part-time, or not at all after the youngest child started
school?
424 1. Worked full-time
159 3. Worked part-time
49 5. Stayed home
210 0. INAP
430 9. NA
VAR 67 PART WORK CHILD LEFT 23 Loc 82 width 1
MD=0 or GE 9
23bd (HAVE EVER HAD CHILDREN) What about your spouse/partner
at that time - did he or she work outside the home full-time,
part-time, or not at all after the children left home?
341 1. Worked full-time
74 3. Worked part-time
17 5. Stayed home
389 0. INAP
451 9. NA
VAR 68 EMPLOYMENT STATUS 24 Loc 83 width 2
MD=99
24 Which of the following groups do you belong to?
559 01. Employed full-time (more than 35 hours/week)
197 02. Employed part-time (15-35 hours/week)
6 03. Employed less than 15 hours/week
4 04. Helping family member
80 05. Unemployed
26 06. In vocational training
110 07. Student
174 08. Retired
13 09. Housewife/homeduties
46 10. Permanently disabled
50 11. Other
7 99. NA
VAR 69 HOURS WORKED WEEKLY 25 Loc 85 width 2
MD=99
25 How many hours weekly do you normally work?
00. 0 hours
.
.
84. 84 hours
3 99. NA
Kod: 0 4 5 6 7 8 9 10 12 13 14 15 16
Frek: 357 3 1 1 1 4 2 6 1 1 1 4 2
Kod: 17 19 20 21 22 23 24 25 26 27 28 29 30
Frek: 5 2 49 1 2 7 8 10 4 4 16 2 64
Kod: 31 32 33 34 35 36 37 38 39 40 41 42 43
Frek: 5 14 3 2 25 14 16 31 14 458 7 5 2
Kod: 45 46 47 48 50 54 55 57 58 60 65 70 84
Frek: 35 3 1 8 31 1 14 1 1 11 2 6 1
Kod: 99
Frek: 3
VAR 70 OCCUPATION 26 Loc 87 width 3
MD=999
26a What is your occupation? If you are retired or not
working at present, specify your latest occupation.
9 001. Architects, civil engineers and civil engineering
technicians
7 002. Electrical engineers and technicians
8 003. Electronics and teletechnical communications
9 004. Mechanical engineers and technicians
8 005. Chemical engineers and technicians
1 007. Engineers and engineering technicians n.e.c.
2 008. Surveyors and cartographical engineers and
technicians
20 009. Technical workers n.e.c.
4 012. Laboratory technicians and assistants (not
medical lab)
1 013. Laboratory assistants (medical lab)
4 016. Chemists, physicists, laboratory engineers
1 021. Biologists
2 022. Agricultural advisors
3 030. Principals, headmasters
6 031. University and higher education teachers
11 032. Secondary education teachers (theoretical
subjects)
17 033. Primary education teachers
6 034. Secondary education teachers
(aesthetical-practical subjects)
5 035. Technical education teachers
17 036. Pre-primary education teachers,
recreation-activities organizers
8 039. Educational workers n.e.c.
3 041. Minister of religion
1 049. Religious workers n.e.c.
3 051. Judges and lawyers in courts of justice
1 052. Prosecutors, police commissioners
3 054. Legal advisers (in enterprises or other
organisations)
6 061. Journalists, authors
3 062. Public relations and publicity officers
3 069. Literary and journalistic work
3 071. Sculptors, painters and commercial artists
1 073. Designers
2 075. Performing artists
1 076. Musicians
5 091. Librarians
2 092. Archivists and museum curators
5 101. Physicians and surgeons
1 102. Nursing administrators
17 103. Registered nurses
2 104. Midwives
6 105. Medical technicians
10 106. Attendants in psychiatric care
42 107. Assistant nurses and hospital aids
2 109. Health and nursing workers n.e.c.
1 111. Physiotherapists
3 112. Occupational therapists
4 121. Dentists
2 122. Dental hygienists
4 123. Dental assistants
1 131. Pharmacists
1 139. Pharmaceutical workers n.e.c.
6 151. Social and social welfare workers
4 152. Managers of social welfare institutions
41 153. Children's nurses
36 154. Home helpers
7 155. Managers and assistants (for the mentally
retarded)
1 161. Occupational safety and public health inspectors
1 191. Psychologists
2 192. Dieticians and nutritionists
3 201. Legislators and administrators (central
government)
5 203. Legislators and administrators (local government)
4 209. Government legislators and administrators n.e.c.
6 211. Business administrators
6 212. Organisation administrators
4 221. Personnel officers
1 222. Employment exchange officials
2 231. Auditors
32 232. Financial managers, accountants
20 241. Secretaries, stenographers
3 242. Typists
40 249. Clerical and related workers n.e.c.
16 251. Systems analysts, programmers
3 252. Computer operators
3 259. Computer processing workers (ADP) n.e.c.
7 261. Economists
12 292. Bank tellers and finance clerks
2 293. Insurance clerks
2 294. National insurance clerks
3 295. Tourists- and travel agency clerks
5 296. Forwarders, transport planners
4 297. Property managers
2 299. Administrative, managerial and clerical workers
n.e.c.
2 312. Real estate and securities brokers
1 313. Business services salesmen
3 321. Buyers
19 331. Working proprietors, wholesale and retail trade
24 332. Salesmen (wholesale)
56 333. Shop assistants
5 339. Sales workers n.e.c.
17 400. Working proprietors in agriculture and forestry
1 403. Horticultural managers and supervisors
2 404. Forestry managers and supervisors
2 412. Livestock, dairy and poultry farm workers
6 413. Horticultural workers
1 419. Agricultural, horticultural and livestock workers
n.e.c.
5 441. Loggers
1 501. Miners, quarrymen
1 612. Engine-room ratings
2 631. Railway engine drivers
5 640. Bus and taxi drivers
19 641. Lorry and pickup drivers
1 651. Air traffic controllers
6 652. Railway conductors and yardmen
6 671. Postmasters, post office clerks
3 674. Telephone operators
10 681. Mail sorting clerks and postmen
8 682. Messengers
1 705. Weaving and knitting machine setters
1 709. Textile workers n.e.c.
3 714. Upholsterers
6 716. Dressmakers and sewers
2 719. Tailoring and sewing workers n.e.c.
2 721. Shoemakers and shoe repairers
1 722. Shoe cutters, lasters and sewers
3 731. Furnacemen
1 733. Rolling-mill workers
1 735. Wire and tube drawers
2 736. Blacksmiths, hammersmiths and forgers
2 737. Metal casters and moulders
1 739. Metal processing workers n.e.c.
1 741. Precision-instrument makers
1 742. Watchmakers
10 751. Toolmakers, machinetool setters and operators
13 752. Machinery fitters
8 753. Machine assemblers and engine mechanics
1 754. Sheet-metal workers
8 755. Plumbers and pipe fitters
10 756. Welders and flame cutters
2 757. Structural metal prepares and erectors
9 759. Metal machine workers and building metal workers
n.e.c.
14 761. Electrical fitters and wiremen
4 764. Tele- and electronic repairmen and litters
4 765. Electric linemen
1 766. Recording, sound and light equipment operators
7 772. Wood processing workers
1 775. Wooden boatbuilders coachbody builders
1 776. Cabinet makers and joiners
6 777. Woodworking machine operators
1 779. Wood workers n.e.c.
8 781. Building painters
1 782. Floor layers
4 783. Painters (others than building)
7 791. Bricklayers
5 793. Concrete workers
11 794. Construction carpenters
1 795. Insulators
1 796. Glaziers
8 799. Building and construction workers n.e.c.
4 803. Printing pressmen
2 804. Bookbinders
4 809. Printing workers n.e.c.
2 822. Bakers and pastry cooks
2 824. Brewers and other beverage makers
1 825. Canning workers
4 826. Butchers and meat preparers
3 829. Food processing and tobacco workers n.e.c.
1 831. Chemical process workers
2 833. Crushers, grinders and calender operators
(chemical products)
3 834. Rubber products makers
2 835. Plastic products makers
1 839. Chemical processing workers n.e.c.
1 841. Paper pulp preparers
1 842. Paper makers
4 843. Paper products makers
4 859. Other production and related workers n.e.c.
4 861. Stationery engine and related equipment operators
4 872. Earth-moving and related machinery operators
6 873. Truck and conveyor operators
1 879. Material handling and related equipment operators
n.e.c.
7 881. Packers
9 882. Store and warehouse workers
1 891. Unskilled manual workers
2 902. Chimney sweeps
5 903. Policemen
1 904. Custom officials
1 905. Prison and reformatory officials
3 906. Watchmen
1 909. Civilian protective service workers n.e.c.
6 911. Catering supervisors
7 912. Cooks
16 913. Kitchen assistants, restaurants workers
8 914. Waiters
2 915. Hotel managers, hotel receptionists
1 916. Pursers, stewards, stewardesses
9 931. Building caretakers
29 932. Cleaners
4 941. Hairdressers, beauticians
1 942. Bath attendants
2 951. Launderers and dry-cleaners
1 952. Pressers
3 961. Coaches, horse trainers
1 979. Service workers n.e.c.
6 981. Officers
140 999. NA
VAR 71 OCCUPATION SEI 26 Loc 90 width 2
MD=99
26a(1) Occupation - socio-economic classification
<See Q.26a for complete questiontext>
107 11. Unskilled employees in goods production
228 12. Unskilled employees in service production
140 21. Skilled employees in goods production
89 22. Skilled employees in service production
72 33. Assistant non-manual employees, lower level
112 36. Assistant non-manual employees, higher level
209 46. Intermediate non-manual employees
68 56. Professionals and other higher non-manual
employees
24 57. Upper-level executives
46 60. Self-employed professionals
36 79. Entrepreneurs
17 89. Farmers
124 99. NA
VAR 72 EMPLOYEE OR SELF-EMPL 27 Loc 92 width 1
MD=9
27 Are you (were you) an employee or self-employed?
61 1. Self-employed, no employee
32 2. Self-employed, 1-9 employees
3 3. Self-employed, more than 10 employees
1043 4. Employee
45 5. Never worked
15 6. Combined self employed and employee
73 9. NA
VAR 73 SUPERVISES OTHER 28 Loc 93 width 1
MD=9
28 Do you (did you) supervise the work of other employees?
364 1. Yes
794 5. No
43 7. Never worked
71 9. NA
VAR 74 PRIV OR PUBLIC SECTOR 29 Loc 94 width 1
MD=9
29 Do you (did you) mainly work in the private or public
sector?
445 1. Public sector
106 2. Corporation owned by state
583 3. Private sector
45 7. Never worked
93 9. NA
VAR 75 TRADE UNION MEMBER 30 Loc 95 width 1
MD=9
30 Are you a member of a trade union?
438 1. LO
212 2. TCO
89 3. SACO
148 4. Other
345 5. None
40 9. NA
VAR 76 EDUCATION: CATEGORIES 31 Loc 96 width 2
MD=99
31a What is your highest educational qualification?
331 01. Primary school
170 02. Secondary school (2-years)
142 03. Vocational school
30 04. Residential college for adult education
73 05. Realskola
166 06. Secondary school (3 years)
37 07. Studentexamen
92 08. University - no completed degree
206 09. University - degree completed
25 99. NA
VAR 77 YEARS IN SCHOOL 31 Loc 98 width 2
MD=99
31b How many years have you attended school, all full time
education included? Count from 1st grade of school.
01. 1 year
.
.
48. 48 years
123 99. NA
Kod: 1 2 3 4 5 6 7 8 9 10 11 12 13
Frek: 3 5 5 11 4 44 90 60 114 90 174 168 102
Kod: 14 15 16 17 18 19 20 21 23 25 27 40 45
Frek: 73 60 55 37 28 5 9 3 3 1 2 1 1
Kod: 48 99
Frek: 1 123
VAR 78 INCOME PER MONTH 32 Loc 100 width 2
MD=99
32 What is your approximate income per month before taxes?
112 01. 0 - 4 000 SEK
206 02. 4 001 - 8 000 SEK
322 03. 8 001 - 12 000 SEK
313 04. 12 001 - 16 000 SEK
141 05. 16 001 - 20 000 SEK
51 06. 20 001 - 24 000 SEK
29 07. 24 001 - 28 000 SEK
31 08. 28 000 SEK and more
27 88. Don't know
40 99. NA
VAR 79 MARITAL STATUS 33 Loc 102 width 1
MD=9
33 Are you married, cohabiting or single?
656 1. Married
217 2. Living as married
59 3. Divorced
44 4. Widowed
263 5. Single
33 9. NA
VAR 80 SPOUSE EMPLOYM STATUS 34 Loc 103 width 2
MD= 0
34 (MARRIED/COHABITING) Which of following groups does your
spouse/partner belong to?
432 01. Employed full time (35+ hours weekly)
144 02. Employed part time (15-35 hours weekly)
4 03. Employed less than 15 hours weekly
2 04. Helping family member
49 05. Unemployed
14 06. Vocational training, relief work
23 07. Student
129 08. Retired
14 09. Housewife/home duties
34 10. Permanently disabled
34 11. Other
393 00. INAP/NA
VAR 81 SPOUSE OCCUPATION 35 Loc 105 width 3
MD= 0 or GE 999
35a (MARRIED/COHABITING) What is your spouse's/partner's
occupation? If he/she is retired or not working at present,
specify his/her latest occupation.
15 001. Architects, civil engineers and civil engineering
technicians
9 003. Electronics and teletechnical communications
11 004. Mechanical engineers and technicians
4 005. Chemical engineers and technicians
1 006. Metallurgists, mining and petroleum engineers and
technicians
1 007. Engineers and engineering technicians n.e.c.
1 008. Surveyors and cartographical engineers and
technicians
20 009. Technical workers n.e.c.
2 012. Laboratory technicians and assistants (not
medical lab)
3 013. Laboratory assistants (medical lab)
6 016. Chemists, physicists, laboratory engineers
2 021. Biologists
2 023. Forestry advisors
2 030. Principals, headmasters
2 031. University and higher education teachers
8 032. Secondary education teachers (theoretical
subjects)
5 033. Primary education teachers
11 034. Secondary education teachers
(aesthetical-practical subjects)
5 035. Technical education teachers
15 036. Pre-primary education teachers,
recreation-activities organizers
2 039. Educational workers n.e.c.
3 041. Minister of religion
2 049. Religious workers n.e.c.
1 051. Judges and lawyers in courts of justice
1 053. Other jurists (private practice)
4 054. Legal advisers (in enterprises or other
organisations)
4 061. Journalists, authors
3 062. Public relations and publicity officers
1 069. Literary and journalistic work
2 071. Sculptors, painters and commercial artists
1 073. Designers
1 075. Performing artists
2 076. Musicians
2 079. Artistic workers n.e.c.
3 091. Librarians
7 101. Physicians and surgeons
7 103. Registered nurses
1 104. Midwives
2 105. Medical technicians
7 106. Attendants in psychiatric care
38 107. Assistant nurses and hospital aids
1 109. Health and nursing workers n.e.c.
2 111. Physiotherapists
6 112. Occupational therapists
2 121. Dentists
6 123. Dental assistants
1 131. Pharmacists
2 139. Pharmaceutical workers n.e.c.
5 151. Social and social welfare workers
4 152. Managers of social welfare institutions
26 153. Children's nurses
21 154. Home helpers
3 155. Managers and assistants (for the mentally
retarded)
1 159. Social workers n.e.c.
1 161. Occupational safety and public health inspectors
1 162. Safety engineers, ergonomists
2 191. Psychologists
1 199. Health, nursing and social workers n.e.c.
1 201. Legislators and administrators (central
government)
4 203. Legislators and administrators (local government)
1 209. Government legislators and administrators n.e.c.
22 211. Business administrators
2 212. Organisation administrators
2 221. Personnel officers
2 222. Employment exchange officials
6 231. Auditors
7 232. Financial managers, accountants
1 239. Accounting workers n.e.c.
6 241. Secretaries, stenographers
31 249. Clerical and related workers n.e.c.
5 251. Systems analysts, programmers
1 252. Computer operators
2 259. Computer processing workers (ADP) n.e.c.
7 261. Economists
13 292. Bank tellers and finance clerks
2 293. Insurance clerks
3 296. Forwarders, transport planners
1 297. Property managers
1 299. Administrative, managerial and clerical workers
n.e.c.
4 311. Advertising salesmen
2 312. Real estate and securities brokers
3 313. Business services salesmen
3 321. Buyers
16 331. Working proprietors, wholesale and retail trade
18 332. Salesmen (wholesale)
30 333. Shop assistants
2 339. Sales workers n.e.c.
12 400. Working proprietors in agriculture and forestry
1 401. Horticultural farmers
2 403. Horticultural managers and supervisors
2 404. Forestry managers and supervisors
2 412. Livestock, dairy and poultry farm workers
3 413. Horticultural workers
1 431. Fishermen
5 441. Loggers
1 449. Forestry workers n.e.c.
2 501. Miners, quarrymen
1 601. Ships' deck officers
1 611. Ship's deck ratings
1 621. Aircraft pilots, navigators and flight engineers
5 631. Railway engine drivers
6 640. Bus and taxi drivers
23 641. Lorry and pickup drivers
3 652. Railway conductors and yardmen
2 662. Air-control officers, flight dispatchers
1 663. Railway station masters, train dispatchers
1 664. Road transport supervisors
1 671. Postmasters, post office clerks
6 673. Telecommunications clerks
2 681. Mail sorting clerks and postmen
3 682. Messengers
1 709. Textile workers n.e.c.
1 714. Upholsterers
1 715. Patternmakers and cutters
1 716. Dressmakers and sewers
1 731. Furnacemen
1 736. Blacksmiths, hammersmiths and forgers
1 741. Precision-instrument makers
7 751. Toolmakers, machinetool setters and operators
10 752. Machinery fitters
9 753. Machine assemblers and engine mechanics
5 754. Sheet-metal workers
7 755. Plumbers and pipe fitters
4 756. Welders and flame cutters
1 757. Structural metal prepares and erectors
6 759. Metal machine workers and building metal workers
n.e.c.
13 761. Electrical fitters and wiremen
1 763. Electrical machinery assemblers and repairmen
3 764. Tele- and electronic repairmen and litters
1 765. Electric linemen
1 766. Recording, sound and light equipment operators
2 772. Wood processing workers
2 776. Cabinet makers and joiners
1 777. Woodworking machine operators
1 779. Wood workers n.e.c.
11 781. Building painters
1 783. Painters (others than building)
5 791. Bricklayers
2 793. Concrete workers
8 794. Construction carpenters
1 796. Glaziers
11 799. Building and construction workers n.e.c.
1 803. Printing pressmen
1 804. Bookbinders
4 809. Printing workers n.e.c.
1 811. Glassformers and cutters
1 823. Chocolate and confectionery makers
3 829. Food processing and tobacco workers n.e.c.
2 831. Chemical process workers
2 834. Rubber products makers
1 842. Paper makers
1 843. Paper products makers
1 851. Cast concrete product makers
1 853. Musical instrument makers and tuners
3 859. Other production and related workers n.e.c.
1 861. Stationery engine and related equipment operators
2 871. Crane and hoist operators
5 872. Earth-moving and related machinery operators
4 873. Truck and conveyor operators
1 879. Material handling and related equipment operators
n.e.c.
2 881. Packers
8 882. Store and warehouse workers
2 901. Fire-fighters
4 903. Policemen
1 904. Custom officials
1 905. Prison and reformatory officials
2 906. Watchmen
1 911. Catering supervisors
8 912. Cooks
13 913. Kitchen assistants, restaurants workers
2 914. Waiters
2 916. Pursers, stewards, stewardesses
4 931. Building caretakers
16 932. Cleaners
5 941. Hairdressers, beauticians
1 971. Undertakers
4 981. Officers
393 000. INAP
59 999. NA
VAR 82 SPOUSE OCCUPATION SEI 35 Loc 108 width 2
MD=99
35a(1) Spouse's/partner's occupation - socio-economic
classification
<See Q.35a for complete questiontext>
56 11. Unskilled employees in goods production
145 12. Unskilled employees in service production
112 21. Skilled employees in goods production
77 22. Skilled employees in service production
42 33. Assistant non-manual employees, lower level
81 36. Assistant non-manual employees, higher level
163 46. Intermediate non-manual employees
49 56. Professionals and other higher non-manual
employees
16 57. Upper-level executives
47 60. Self-employed professionals
29 79. Entrepreneurs
12 89. Farmers
50 98. Unidentified
393 99. INAP
VAR 83 SPOUSE: SELF-EMPLOYED 36 Loc 110 width 1
MD=0
36 Are your (were your) spouse/partner an employee or
self-employed?
62 1. Self-employed, no employee
31 2. Self-employed, 1-9 employees
10 3. Self-employed, more than 10 employees
729 4. Employee
15 5. Never worked
7 6. Combined self employed and employee
418 0. NA
VAR 84 FAMILY INCOME 37 Loc 111 width 2
MD=99
37 What is your household's approximate income per month
before taxes?
126 01. 0 - 4 000 SEK
160 02. 4 001 - 8 000 SEK
177 03. 8 001 - 12 000 SEK
150 04. 12 001 - 16 000 SEK
152 05. 16 001 - 20 000 SEK
144 06. 20 001 - 24 000 SEK
77 07. 24 001 - 28 000 SEK
59 08. 28 000 SEK and more
92 88. Don't know
135 99. NA
VAR 85 2ND PERSON: AGE 38 Loc 113 width 2
MD= 0
38 How many persons apart from yourself are included in your
household.
38(1) 2nd person in household: Age
01. 1 year
.
.
92. 92 years
312 00. INAP/NA
Kod: 1 2 3 4 5 6 7 8 9 10 11 12 13
Frek: 12 5 6 8 9 10 2 8 2 8 2 4 5
Kod: 14 15 16 17 18 19 20 21 22 23 24 25 26
Frek: 6 6 5 6 8 7 8 8 9 13 14 13 10
Kod: 27 28 29 30 31 32 33 34 35 36 37 38 39
Frek: 15 23 14 22 11 7 15 13 13 17 18 14 18
Kod: 40 41 42 43 44 45 46 47 48 49 50 51 52
Frek: 17 14 20 19 12 23 22 21 26 22 37 18 31
Kod: 53 54 55 56 57 58 59 60 61 62 63 64 65
Frek: 21 16 17 16 13 7 10 20 11 10 15 7 11
Kod: 66 67 68 69 70 71 72 73 74 75 76 77 78
Frek: 9 18 8 11 12 8 10 7 5 7 5 2 2
Kod: 79 80 82 84 0
Frek: 3 1 1 1 312
VAR 86 2ND PERSON: SEX 38 Loc 115 width 1
MD=0
38(2) 2nd person in household: Sex
<See Q.38 for complete questiontext>
559 1. Male
402 2. Female
311 0. INAP/NA
VAR 87 3RD PERSON: AGE 38 Loc 116 width 2
MD= 0
38(3) 3rd person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
723 00. INAP/NA
Kod: 1 2 3 4 5 6 7 8 9 10 11 12 13
Frek: 26 25 19 21 22 20 18 17 9 18 15 19 25
Kod: 14 15 16 17 18 19 20 21 22 23 24 25 26
Frek: 22 20 22 23 31 17 27 10 4 6 2 3 1
Kod: 27 28 29 30 32 33 34 35 37 38 40 41 42
Frek: 2 2 3 1 3 3 1 1 2 4 2 3 1
Kod: 43 44 45 46 47 48 49 50 51 53 54 55 56
Frek: 3 5 1 6 7 6 5 5 3 2 1 1 2
Kod: 57 58 62 66 67 69 70 71 72 73 75 76 77
Frek: 1 1 2 2 2 1 3 2 2 1 1 2 3
Kod: 78 79 80 82 83 87 89 91 0
Frek: 1 1 1 1 1 2 1 1 723
VAR 88 3RD PERSON: SEX 38 Loc 118 width 1
MD=0
38(4) 3rd person in household: Sex
<See Q.38 for complete questiontext>
270 1. Male
282 2. Female
720 0. INAP/NA
VAR 89 4TH PERSON: AGE 38 Loc 119 width 2
MD= 0
38(5) 4th person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
929 00. INAP/NA
Kod: 1 2 3 4 5 6 7 8 9 10 11 12 13
Frek: 26 20 25 16 14 13 13 10 14 15 17 12 14
Kod: 14 15 16 17 18 19 20 21 22 23 26 28 30
Frek: 17 11 12 9 10 6 5 7 5 2 4 3 2
Kod: 31 32 33 34 35 37 38 40 41 43 44 45 46
Frek: 1 1 1 2 2 1 2 2 1 2 3 2 3
Kod: 47 48 49 67 76 77 78 79 80 81 84 86 89
Frek: 1 1 1 1 3 1 2 2 1 1 1 1 1
Kod: 92 0
Frek: 1 929
VAR 90 4TH PERSON: SEX 38 Loc 121 width 1
MD=0
38(6) 4th person in household: Sex
<See Q.38 for complete questiontext>
166 1. Male
178 2. Female
928 0. INAP/NA
VAR 91 5TH PERSON: AGE 38 Loc 122 width 2
MD= 0
38(7) 5th person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
1166 00. INAP/NA
Kod: 1 2 3 4 5 6 7 8 9 10 11
Frek: 14 7 4 3 4 6 9 3 5 9 5
Kod: 12 13 14 15 16 17 18 19 20 21 23
Frek: 6 4 1 3 1 1 2 2 1 1 1
Kod: 27 33 36 40 41 42 45 49 84 85 87
Frek: 1 1 1 1 1 1 2 2 1 1 1
Kod: 88 0
Frek: 1 1166
VAR 92 5TH PERSON: SEX 38 Loc 124 width 1
MD=0
38(8) 5th person in household: Sex
<See Q.38 for complete questiontext>
55 1. Male
51 2. Female
1166 0. INAP/NA
VAR 93 6TH PERSON: AGE 38 Loc 125 width 2
MD= 0
38(9) 6th person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
1243 00. INAP/NA
Kod: 1 2 3 4 5 7 10 11 12 18 20
Frek: 4 1 3 2 3 1 2 1 2 2 1
Kod: 32 37 48 50 86 91 0
Frek: 2 1 1 1 1 1 1243
VAR 94 6TH PERSON: SEX 38 Loc 127 width 1
MD=0
38(10) 6th person in household: Sex
<See Q.38 for complete questiontext>
14 1. Male
15 2. Female
1243 0. INAP/NA
VAR 95 7TH PERSON: AGE 38 Loc 128 width 2
MD= 0
38(11) 7th person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
1265 00. INAP/NA
Kod: 1 3 8 37 44 51 0
Frek: 2 1 1 1 1 1 1265
VAR 96 7TH PERSON: SEX 38 Loc 130 width 1
MD=0
38(12) 7th person in household: Sex
<See Q.38 for complete questiontext>
5 1. Male
2 2. Female
1265 0. INAP/NA
VAR 97 8TH PERSON: AGE 38 Loc 131 width 2
MD= 0
38(13) 8th person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
1270 00. INAP/NA
Kod: 2 4 0
Frek: 1 1 1270
VAR 98 8TH PERSON: SEX 38 Loc 133 width 1
MD=0
38(14) 8th person in household: Sex
<See Q.38 for complete questiontext>
2 1. Male
0 2. Female
1270 0. INAP/NA
VAR 99 9TH PERSON: AGE 38 Loc 134 width 2
MD= 0
38(15) 9th person in household: Age
<See Q.38 for complete questiontext>
01. 1 year
.
.
92. 92 years
1271 00. INAP/NA
Kod: 2 0
Frek: 1 1271
VAR 100 9TH PERSON: SEX 38 Loc 136 width 1
MD=0
38(16) 9th person in household: Sex
<See Q.38 for complete questiontext>
1 1. Male
0 2. Female
1271 0. INAP/NA
VAR 101 PARENTS SWED CITIZENS 39 Loc 137 width 1
MD=9
39 Were both of your parents citizens of Sweden at the time
of your birth?
1100 1. Yes
23 2. No, only one parent was a citizen of Sweden
136 3. No, neither parent was a citizen of Sweden
13 9. NA
VAR 102 PARTY AFFILIATION 40 Loc 138 width 2
MD=99
40 Which political party do you most agree with?
44 01. Centerpartiet (Centre Party)
51 02. Folkpartiet liberalerna (Peoples Party the
Liberals)
26 03. Kristdemokratiska samhällspartiet (Christian
Democrats)
24 04. Miljöpartiet - de gröna (Green Party)
167 05. Moderata samlingspartiet (Conservative Party)
19 06. Ny demokrati (New Democracy)
463 07. Socialdemokratiska arbetarpartiet (Social
Democrats)
30 08. Vänsterpartiet (Left Party)
12 09. Other party
389 10. No party preference
47 99. NA
VAR 103 SUBJ. SOCIAL CLASS 41 Loc 140 width 1
MD=9
41 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?
15 1. Lower class
440 2. Working class
5 3. Upper working class/lower middle class
537 4. Middle class
129 5. Upper middle class
13 6. Upper class
113 8. Don't know
20 9. NA
VAR 104 CHURCH OR REL. GROUP 42 Loc 141 width 1
MD=9
42a Do you belong to any church or religious group?
892 1. Yes
352 5. No
28 9. NA
VAR 105 RELIGIOUS DENOMIN. 42 Loc 142 width 1
MD=0
42b (BELONGS TO CHURCH/RELIGIOUS GROUP) Which church or
religious group?
835 1. Church of Sweden
72 2. Other christian community
19 3. Other non-christian religion
346 0. INAP, NA
VAR 106 CHURCH ATTENDANCE 43 Loc 143 width 1
MD=9
43 How often do you attend church or other religious
meetings?
45 1. At least once a week
27 2. 2-3 times a month
38 3. Once a month
121 4. Several times a year
656 5. Less often
344 6. Never
18 8. Don't know
23 9. NA
VAR 107 SEX Loc 144 width 1
Sex
597 1. Male
675 2. Female
VAR 108 AGE Loc 145 width 2
Age
18. 18 years
.
.
76. 76 years
Kod: 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
Frek: 4 28 20 29 25 31 26 23 13 31 29 24 23 20 18 34 30 29
Kod: 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
Frek: 29 14 19 22 23 24 30 20 32 27 27 18 31 30 24 27 20 20
Kod: 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71
Frek: 22 22 20 14 18 19 15 20 13 24 12 22 15 18 15 15 19 23
Kod: 72 73 74 75 76
Frek: 12 23 21 9 7
VAR 109 MARITAL STATUS Loc 147 width 1
Marital status of respondent
660 1. Married
47 2. Widowed
116 3. Divorced
9 4. Separated
440 5. Single, never married
VAR 110 SIZE OF HOUSEHOLD Loc 148 width 1
Number of persons in household (including respondent)
310 1. One person
410 2. Two persons
209 3. Three persons
237 4. Four persons
77 5. Five persons
22 6. Six persons
5 7. Seven persons
1 8. Eight persons
1 9. Nine persons
VAR 111 NATIONALITY Loc 149 width 1
Primary and present nationality
1133 1. Swedish citizen since birth
80 2. Primary: foreign citizen; present: Swedish citizen
59 3. Foreign citizen
VAR 112 BIRTH COUNTRY Loc 150 width 1
Birth country
1146 1. Born in Sweden
126 2. Born outside Sweden
VAR 113 REGION Loc 151 width 1
Region
"Län" approximate to English "county"
240 1. Stockholm (Stockholms län)
219 2. East mid (Uppsala, Södermanlands, Östergötlands,
Örebro and Västmanlands län)
109 3. Småland and Gotland (Jönköpings, Kronobergs, Kalmar
and Gotlands län)
180 4. South (Blekinge, Kristianstads and Malmöhus län)
251 5. West (Hallands, Göteborgs and Bohus, Älvsborgs and
Skaraborgs län)
132 6. North mid (Värmlands, Kopparbergs and Gävleborgs
län)
60 7. Mid north (Västernorrlands and Jämtlands län)
81 8. North (Västerbottens and Norrbottens län)
VAR 114 URBAN - RURAL AREA Loc 152 width 1
Urban - rural area
232 1. Stockholm including the suburb municipalities
461 3. Municipalities (MC) with more than 90 000
inhabitants within an area of 30 kilometres radius
from the MC centre
250 4. 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
74 5. 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
63 6. MC:s with less than 27 000 inhabitants within an
area of 30 kilometres radius of the centre
115 8. Göteborg including the suburb municipalities
77 9. Malmö, Lund, Trelleborg including the suburb
municipalities
VAR 115 ANNUAL INCOME Loc 153 width 3
Annual income before taxes
30 000. No income
001. 1 000 SEK
.
.
951. 951 000 SEK
Valid-n=1272 Min=0 Max=951 Mean=138.5 St.Dev=95.1
VAR 116 EDUCATION II Loc 156 width 1
MD=9
Education II
The numbers within brackets refer to values on question 31 a
(VAR 76).
331 1. Primary school (1)
415 2. Secondary 2-year (2-5)
203 3. Secondary 3-year (6-7)
298 4. University (8-9)
25 9. NA
VAR 117 EMPLOYEE OR SELFEMPLOYED Loc 157 width 1
MD=9
Employee or self-employed
96 1. Self-employed
1043 2. Employee
15 3. Combination self-employed and employee
45 4. Never worked
73 9. NA
VAR 118 NUMBER OF EMPLOYEES Loc 158 width 1
MD=9
Number of employees
1164 0. No employees
32 1. 1-10 employees
3 2. More than 10 employees
73 9. NA