Codebook

Norwegian Citizen Panel

Round 17

v-103 - 2023-11-22









Produced by ideas2evidence










Citation

Primary investigators

Name Affiliation
Elisabeth Ivarsflaten UiB
Sveinung Arnesen NORCE
Stefan Dahlberg UiB
Erla Løvseth UiB
Marta Eidheim UiB
Yvette Peters UiB
Erik Knudsen UiB
Endre Tvinnereim UiB
Gisela Böhm UiB
Hege Høivik Bye UiB
Lise Lund Bjånesøy UiB
Anne Lise Fimreite UiB
Arjan Schakel UiB
Thea Gregersen UiB

Producers

Name Affiliation Role
Øivind Skjervheim ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project team member
Amund Eikrem ideas2evidence Project team member
Asle Høgestøl ideas2evidence Quality assurance

Study Description

Abstract

The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by the Norwegian Social Science Data services (NSD). The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.medborger.uib.no

Scope

Geographic coverage: National geographic coverage. Counties as geographic coding.
Unit of analysis: Individuals
Univers: Norwegian Citizens above the age of 18.

Methodology

Sampling procedure

Members of the Norwegian Citizen Panel have been recruited in six waves:
In wave 1, 4 870 panel members were recruited (see documentation from wave 1).
In wave 3, 5 623 members were recruited (see documentation from wave 3).
In wave 8, 4 245 new members were recruited (see documentation from wave 8).
In wave 11, 2 069 panel members were recruited (see documentation from wave 11).
In wave 14, 2 036 panel members were recruited (see documentation from wave 14).
In wave 16, 5 163 panel members were recruited (see documentation from wave 16).

In wave 1 and 3 a gross sample of 25 000 individuals was randomly drawn from the Norwegian National Population Registry, while in wave 8 the gross sample amounted to 22 000 individuals. In wave 11 and 14, a corresponding gross sample of 14 000 people was drawn. In wave 16, the gross sample was 34 000.

This National Population Registry includes everyone born in Norway as well as former and current inhabitants. The Norwegian Tax Administration is responsible for the register, but the administration is partly outsourced to the private IT-company Evry. Evry drew the sample on behalf of the Citizen Panel after the necessary permissions were acquired from the Norwegian Tax Administration.

The extracted data was a) last name, b) first name, c) address, d) gender, e) age, and f) phone number. The sample excluded people with no current home address in Norway.

Mode of Data Collection

The survey is based on a web-based questionnaire with postal recruitment. Please refer to the Documentation Report from Wave 16. The report is available here: http://digsscore.uib.no/download-data-and-documentation

In wave 17, emails were sent out on 15th of january, 2020.

E-mail with reminder was sent out three times, January 21st, January 27th and January 31st, respectively, to respondents who: a) had not logged in to the survey, or b) had not completed the survey. Panel members with registered mobile numbers received the last reminder via text message. Panel members without registered phone number were reminded by e-mail.

Wave 17 ended February 22nd, 2020.

Weighting

To compensate for observed bias, a set of weights has been calculated. The weights equal the relation between a given strata in the population and the total population, divided by the relation between a given strata in the net sample and the total net sample. This procedure returns values around 1, but above 0. Respondents who are underrepresented will receive a weight above 1 and respondents who are overrepresented a weight below 1. The weights of the different stratums are listed in the documentation report. When calculating the weights, the information regarding the respondent’s geographical location, gender and age are based on registry data. These attributes were included in the sample file we received from the Norwegian Population Register. Information regarding the level of education is provided by the respondents when answering the questionnaire.

Two different weights have been calculated:

When applied, both weights will provide a weighted N equal to the number of cases in the dataset.

We will strongly recommend using weight 2 in any statistical analysis, as this weight provides the most accurate compensation for the various sources of bias in the net sample.

Note: In 2018 NCP changed the age variables in the datasets in order to make the respondents less identifiable. The weights are calculated with the old age variables, which no longer are publically available.


Change Log

Version Release date / Date changed Variable Changes and notes
v-103 2023-11-22 NA Revised release of round 17
NA 2023-10-25 r17Weight4 New variable: Added r17Weight4
NA 2023-10-25 r17Weight4 Variable documentation inserted
v-103 2023-10-25 NA Revised release of round 17
NA 2022-02-10 r17pk_vekst Variable documentation updated
NA 2021-05-12 r17pk204_kodet New variable: New version of r17pk204 that also includes coded other-statements
NA 2021-05-12 r17bk26_kodet New variable: New version of r17bk26 that also includes coded other-statements
NA 2021-05-12 r17bk33_kodet New variable: New version of r17bk33 that also includes coded other-statements
NA 2021-05-12 r17bk21_kodet New variable: New version of r17bk21 that also includes coded other-statements
NA 2021-05-12 r17pk204_kodet Variable documentation inserted
NA 2021-05-12 r17bk26_kodet Variable documentation inserted
NA 2021-05-12 r17bk33_kodet Variable documentation inserted
NA 2021-05-12 r17bk21_kodet Variable documentation inserted
v-102 2021-02-12 NA Revised release of round 17
NA 2021-02-11 r17oppvekstfylke New variable: Aggregated variable with respondents home county at 15 years of age, based on registered municipality in r17oppvekstkom
NA 2021-02-11 r17oppvekstfylke Variable documentation inserted
NA 2021-02-03 r17P3_2 New variable: Constituency of parliament election 2021
NA 2021-02-03 r17P3_2 Variable documentation inserted
NA 2020-06-15 r17tittel Variable documentation updated
v-101 2020-06-15 NA Revised release of round 17
NA 2020-06-12 r17bk21_7_other Variable documentation updated
NA 2020-06-12 r17tittel Variable documentation updated
v-100 2020-04-02 NA Initial release of round 17


Dataset contents

File name Norwegian Citizen Panel - round 17 - v-103-O.sav
Distribution type Public
# Cases 11384
# Variables 126


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17rekruttert


Variable label: [The wave the respondent was recruited. ]
Technical description: [The wave the respondent was recruited. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-16]

Value Label Cases Percentage
1 Wave 1 1677 14.7% 0.14731202
3 Wave 3 1835 16.1% 0.16119115
8 Wave 8 1818 16.0% 0.15969782
11 Wave 11 1081 9.5% 0.09495784
14 Wave 14 1233 10.8% 0.10830991
16 Wave 16 3740 32.9% 0.32853127


r17interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical description: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical description: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical attributes: [Question type: -] [Format:character] [Valid:11110] [Invalid:274] [Range:-]



r17browsertype


Variable label: [Browertype used by respondent]
Technical description: [Browertype used by respondent]
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17browserversion


Variable label: [Browser version used by respondent]
Technical description: [Browser version used by respondent]
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17mobil


Variable label: [Determines if the respondents uses mobile ]
Technical description: [Determines if the respondents uses mobile ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Other 6728 59.1% 0.5910049
1 Mobile 4656 40.9% 0.4089951


r17opplosning


Variable label: [Screen resolution of the applied device]
Technical description: [Screen resolution of the applied device]
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17enhetstype


Variable label: [Determines respondents device type.]
Technical description: [Determines respondents device type.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 PC 6863 60.3% 0.602863668
2 Touch 4489 39.4% 0.394325369
3 Generic 32 0.3% 0.002810963


r17advancedwifeaturesenabled


Variable label: [Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.]
Technical description: [Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.]
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17getrenderingmode


Variable label: [Detects the browsers rendering mode]
Technical description: [Detects the browsers rendering mode]
Technical attributes: [Question type: -] [Format:character] [Valid:11384] [Invalid:0] [Range:-]



r17pk15


Variable label: Whether people in general can be trusted
Literal question: Would you say that most people in general can be trusted, or do you think that one cannot be careful enough when dealing with others?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:0-10]

Value Label Cases Percentage
0 0 - Cannot be careful enough 109 1.0% 0.009574842
1 1 62 0.5% 0.005446240
2 2 181 1.6% 0.015899508
3 3 366 3.2% 0.032150387
4 4 418 3.7% 0.036718201
5 5 1120 9.8% 0.098383696
6 6 1070 9.4% 0.093991567
7 7 2569 22.6% 0.225667604
8 8 2966 26.1% 0.260541110
9 9 1179 10.4% 0.103566409
10 10 - Most people can be trusted 1320 11.6% 0.115952214
97 Not answered 24 0.2% 0.002108222


r17pktilfreds1


Variable label: All in all, how satisfied are you with life?
Literal question: All in all, how satisfied are you with life?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 3439 30.2% 0.302090654
2 Satisfied 6273 55.1% 0.551036543
3 Somewhat satisfied 1333 11.7% 0.117094167
4 Dissatisfied 264 2.3% 0.023190443
5 Very dissatisfied 39 0.3% 0.003425861
97 Not answered 36 0.3% 0.003162333


r17pk9_1


Variable label: Open: The most important political issues for you personally (1) [Data withheld for the sake of anonymity]
Literal question: What are the most important political issues or areas for you personally?
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Technical description: [All respondents asked.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17pk9_2


Variable label: Open: The most important political issues for you personally (2) [Data withheld for the sake of anonymity]
Literal question: What are the most important political issues or areas for you personally?
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Technical description: [All respondents asked.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17pk9_3


Variable label: Open: The most important political issues for you personally (3) [Data withheld for the sake of anonymity]
Literal question: What are the most important political issues or areas for you personally?
Post-question: Please list the three most important issues where 1 is the most important, 2 the second most important and 3 is the third most important.
Technical description: [All respondents asked.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17pk10


Variable label: How do you perceive the current economic situation to be in Norway?
Literal question: How do you perceive the current economic situation to be in Norway?
Post-question: Do you think it is:
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 3133 27.5% 0.275210822
2 Good 5816 51.1% 0.510892481
3 Quite good 1424 12.5% 0.125087843
4 Neither good nor bad 512 4.5% 0.044975404
5 Quite bad 303 2.7% 0.026616304
6 Bad 118 1.0% 0.010365425
7 Very Bad 45 0.4% 0.003952916
97 Not answered 33 0.3% 0.002898805


r17tdr17


Variable label: The economic situation in your region of the country compared to the rest of Norway
Literal question: If you compare the economic situation [in your region of the country] with the rest of Norway, do you consider the situation [in your region of the country] as better, worse or the same?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Better 3331 29.3% 0.2926037
2 Worse 1605 14.1% 0.1409874
3 The same 6333 55.6% 0.5563071
97 Not answered 115 1.0% 0.0101019


r17pktilfreds4


Variable label: How satisfied are you with the way in which democracy works in Norway?
Literal question: How satisfied are you with the way in which democracy works in Norway?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 1164 10.2% 0.10224877
2 Satisfied 5828 51.2% 0.51194659
3 Somewhat satisfied 2999 26.3% 0.26343992
4 Dissatisfied 1089 9.6% 0.09566058
5 Very dissatisfied 246 2.2% 0.02160928
97 Not answered 58 0.5% 0.00509487


r17pktilfreds3


Variable label: How satisfied are you with the present government in Norway?
Literal question: How satisfied are you with the present government in Norway?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very satisfied 245 2.2% 0.02152143
2 Satisfied 2443 21.5% 0.21459944
3 Somewhat satisfied 3633 31.9% 0.31913212
4 Dissatisfied 3357 29.5% 0.29488756
5 Very dissatisfied 1583 13.9% 0.13905481
97 Not answered 123 1.1% 0.01080464


r17pk204


Variable label: Which party would you vote for if there were a parliamentary election tomorrow?
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 351 3.1% 0.030832748
2 The Conservative Party 2134 18.7% 0.187456079
3 The Progress Party 957 8.4% 0.084065355
4 The Liberal Party 340 3.0% 0.029866479
5 The Socialist Left Party 1053 9.2% 0.092498243
6 The Centre Party 1712 15.0% 0.150386507
7 The Green Party 852 7.5% 0.074841883
8 The Labour Party 2286 20.1% 0.200808152
9 The Red Party 627 5.5% 0.055077301
10 Would not vote 203 1.8% 0.017832045
11 Would cast a blank vote 307 2.7% 0.026967674
12 Not entitled to vote 194 1.7% 0.017041462
13 Other: 287 2.5% 0.025210822
97 Not answered 81 0.7% 0.007115249


r17pk204_kodet


Variable label: Which party would you vote for if there were a parliamentary election tomorrow? [coded]
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Technical description:

[Alle respondentene spurt.]

[Lagt til omokdede verdier fra _other-variabler]

[Added recoded values from _other-variables]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 The Christian Democrats 352 3.1% 0.030920590
2 The Conservative Party 2134 18.7% 0.187456079
3 The Progress Party 958 8.4% 0.084153197
4 The Liberal Party 340 3.0% 0.029866479
5 The Socialist Left Party 1053 9.2% 0.092498243
6 The Centre Party 1712 15.0% 0.150386507
7 The Green Party 852 7.5% 0.074841883
8 The Labour Party 2286 20.1% 0.200808152
9 The Red Party 627 5.5% 0.055077301
10 Would not vote 203 1.8% 0.017832045
11 Would cast a blank vote 307 2.7% 0.026967674
12 Not entitled to vote 194 1.7% 0.017041462
13 Other: 285 2.5% 0.025035137
97 Not answered 81 0.7% 0.007115249


r17pk204_13_other


Variable label: Open: Which party would you vote for if there were a parliamentary election tomorrow? [Data withheld for the sake of anonymity]
Literal question: Which party would you vote for if there were a parliamentary election tomorrow?
Technical description: [All respondents asked.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17pk6_1


Variable label: Like/dislike: The Christian Democratic Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Christian Democratic Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1947 17.1% 0.17102952
2 Really dislike 2397 21.1% 0.21055868
3 Dislike somewhat 2738 24.1% 0.24051300
4 Neither dislike nor like 2098 18.4% 0.18429375
5 Like somewhat 1500 13.2% 0.13176388
6 Really like 422 3.7% 0.03706957
7 Intensely like 115 1.0% 0.01010190
97 Not answered 167 1.5% 0.01466971


r17pk6_2


Variable label: Like/dislike: The Conservative Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Conservative Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 680 6.0% 0.05973296
2 Really dislike 1659 14.6% 0.14573085
3 Dislike somewhat 2301 20.2% 0.20212579
4 Neither dislike nor like 1482 13.0% 0.13018271
5 Like somewhat 2683 23.6% 0.23568166
6 Really like 1964 17.3% 0.17252284
7 Intensely like 443 3.9% 0.03891427
97 Not answered 172 1.5% 0.01510892


r17pk6_3


Variable label: Like/dislike: The Progress Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Progress Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 3800 33.4% 0.33380183
2 Really dislike 2074 18.2% 0.18218552
3 Dislike somewhat 1588 13.9% 0.13949403
4 Neither dislike nor like 995 8.7% 0.08740337
5 Like somewhat 1584 13.9% 0.13914266
6 Really like 870 7.6% 0.07642305
7 Intensely like 308 2.7% 0.02705552
97 Not answered 165 1.4% 0.01449403


r17pk6_4


Variable label: Like/dislike: The Liberal Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Liberal Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1425 12.5% 0.125175685
2 Really dislike 1845 16.2% 0.162069571
3 Dislike somewhat 2460 21.6% 0.216092762
4 Neither dislike nor like 2704 23.8% 0.237526353
5 Like somewhat 2082 18.3% 0.182888264
6 Really like 585 5.1% 0.051387913
7 Intensely like 93 0.8% 0.008169361
97 Not answered 190 1.7% 0.016690091


r17pk6_5


Variable label: Like/dislike: The Socialist Left Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Socialist Left Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 1450 12.7% 0.12737175
2 Really dislike 1760 15.5% 0.15460295
3 Dislike somewhat 1714 15.1% 0.15056219
4 Neither dislike nor like 2021 17.8% 0.17752987
5 Like somewhat 2197 19.3% 0.19299016
6 Really like 1548 13.6% 0.13598032
7 Intensely like 504 4.4% 0.04427266
97 Not answered 190 1.7% 0.01669009


r17pk6_6


Variable label: Like/dislike: The Centre Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Centre Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 503 4.4% 0.04418482
2 Really dislike 998 8.8% 0.08766690
3 Dislike somewhat 1786 15.7% 0.15688686
4 Neither dislike nor like 2551 22.4% 0.22408644
5 Like somewhat 3138 27.6% 0.27565004
6 Really like 1754 15.4% 0.15407590
7 Intensely like 466 4.1% 0.04093465
97 Not answered 188 1.7% 0.01651441


r17pk6_7


Variable label: Like/dislike: The Green Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Green Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 2064 18.1% 0.18130710
2 Really dislike 1579 13.9% 0.13870344
3 Dislike somewhat 1696 14.9% 0.14898103
4 Neither dislike nor like 1580 13.9% 0.13879129
5 Like somewhat 2457 21.6% 0.21582923
6 Really like 1412 12.4% 0.12403373
7 Intensely like 439 3.9% 0.03856290
97 Not answered 157 1.4% 0.01379129


r17pk6_8


Variable label: Like/dislike: The Labour Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Labour Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 497 4.4% 0.04365777
2 Really dislike 905 7.9% 0.07949754
3 Dislike somewhat 1900 16.7% 0.16690091
4 Neither dislike nor like 1789 15.7% 0.15715039
5 Like somewhat 3433 30.2% 0.30156360
6 Really like 2231 19.6% 0.19597681
7 Intensely like 456 4.0% 0.04005622
97 Not answered 173 1.5% 0.01519677


r17pk6_9


Variable label: Like/dislike: The Red Party
Pre-question text: We would like you to rate how much you like or dislike the various Norwegian political parties.
Literal question: The Red Party
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Intensely dislike 2349 20.6% 0.20634223
2 Really dislike 1708 15.0% 0.15003514
3 Dislike somewhat 1576 13.8% 0.13843992
4 Neither dislike nor like 1971 17.3% 0.17313774
5 Like somewhat 2123 18.6% 0.18648981
6 Really like 1054 9.3% 0.09258609
7 Intensely like 404 3.5% 0.03548840
97 Not answered 199 1.7% 0.01748067


r17pkdv5


Variable label: Advantage/disadvantage for Norway that immigrants come to live here
Literal question: In your opinion how great an advantage or disadvantage is it for Norway that immigrants come to live here?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very great advantage 459 4.0% 0.040319747
2 Great advantage 2057 18.1% 0.180692200
3 Slightly advantageous 4347 38.2% 0.381851722
4 Neither an advantage nor a disadvantage 1661 14.6% 0.145906535
5 A slight disadvantage 1782 15.7% 0.156535488
6 A great disadvantage 629 5.5% 0.055252987
7 Very great disadvantage 403 3.5% 0.035400562
97 Not answered 46 0.4% 0.004040759


r17pkmeme9


Variable label: Your opinion on refugees’ opportunity to be granted residence in Norway
Literal question: What is your opinion on refugees who come to Norway and seek asylum and their opportunity to be granted residence here? Compared to how it is today, do you mean it should be:
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Much easier 301 2.6% 0.026440618
2 Easier 1320 11.6% 0.115952214
3 Somewhat easier 2499 22.0% 0.219518623
4 Same as today 3897 34.2% 0.342322558
5 Slightly more difficult 1589 14.0% 0.139581869
6 More difficult 870 7.6% 0.076423050
7 Much more difficult 825 7.2% 0.072470134
97 Not answered 83 0.7% 0.007290935


r17pk101


Variable label: Your opinion on Norway’s preconditions for integrating refugees
Literal question: As you see it, how good or poor are the preconditions in Norwegian society for integrating refugees?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Very good 736 6.5% 0.064652143
2 Good 3104 27.3% 0.272663387
3 Somewhat good 2480 21.8% 0.217849613
4 Neither good nor bad 1343 11.8% 0.117972593
5 Somewhat poor 2091 18.4% 0.183678848
6 Poor 1145 10.1% 0.100579761
7 Very poor 391 3.4% 0.034346451
97 Not answered 94 0.8% 0.008257203


r17pk12


Variable label: What degree of confidence do you have in the Norwegian Parliament (Stortinget)?
Literal question: What degree of confidence do you have in the Norwegian Parliament (Stortinget)?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 575 5.1% 0.050509487
2 To a great extent 4799 42.2% 0.421556571
3 To some extent 4483 39.4% 0.393798313
4 To a small extent 1226 10.8% 0.107695011
5 Not at all 254 2.2% 0.022312017
97 Not answered 47 0.4% 0.004128602


r17pk53


Variable label: Generally speaking, how much confidence do you have in Norwegian politicians?
Literal question: Generally speaking, how much confidence do you have in Norwegian politicians?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 128 1.1% 0.01124385
2 To a great extent 2957 26.0% 0.25975053
3 To some extent 5837 51.3% 0.51273717
4 To a small extent 2002 17.6% 0.17586086
5 Not at all 371 3.3% 0.03258960
97 Not answered 89 0.8% 0.00781799


r17pk54


Variable label: Generally speaking, what degree of confidence do you have in the Norwegian news media?
Literal question: Generally speaking, what degree of confidence do you have in the Norwegian news media?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 429 3.8% 0.037684469
2 To a great extent 4123 36.2% 0.362174982
3 To some extent 5106 44.9% 0.448524245
4 To a small extent 1281 11.3% 0.112526353
5 Not at all 353 3.1% 0.031008433
97 Not answered 92 0.8% 0.008081518


r17pk_sentral


Variable label: Assertion: Government authorities show little consideration for non-urban/rural Norway
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Government authorities show little consideration for non-urban/rural Norway.
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 2399 21.1% 0.21073436
2 Agree 3189 28.0% 0.28013001
3 Agree somewhat 3023 26.6% 0.26554814
4 Neither agree nor disagree 1338 11.8% 0.11753338
5 Disagree somewhat 681 6.0% 0.05982080
6 Disagree 567 5.0% 0.04980675
7 Strongly disagree 133 1.2% 0.01168306
97 Not answered 54 0.5% 0.00474350


r17pk55


Variable label: Assertion: The number of municipalities should be reduced further
Pre-question text: To what extent do you agree or disagree with the following assertions:
Literal question: Norway now has 356 municipalities instead of 422 as before. The number of municipalities should be reduced further by more mergers.
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 983 8.6% 0.086349262
2 Agree 1706 15.0% 0.149859452
3 Agree somewhat 1776 15.6% 0.156008433
4 Neither agree nor disagree 2164 19.0% 0.190091356
5 Disagree somewhat 1301 11.4% 0.114283204
6 Disagree 1959 17.2% 0.172083626
7 Strongly disagree 1418 12.5% 0.124560787
97 Not answered 77 0.7% 0.006763879


r17pkdv55


Variable label: Assertion: It should be possible for parents to send their children to Muslim schools
Pre-question text: Today, it is possible for parents to send their children to Christian schools that follow the national curriculum, but also teach the Christian faith.
Literal question: How much do you agree or disagree that it should be possible for parents to send their children to Muslim schools that follow the national curriculum, but also teach the Islamic faith?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 Strongly agree 213 1.9% 0.018710471
2 Agree 887 7.8% 0.077916374
3 Agree somewhat 1166 10.2% 0.102424455
4 Neither agree nor disagree 1340 11.8% 0.117709065
5 Disagree somewhat 1135 10.0% 0.099701335
6 Disagree 1626 14.3% 0.142832045
7 Strongly disagree 1896 16.7% 0.166549543
8 Neither of these should be possible 3048 26.8% 0.267744202
97 Not answered 73 0.6% 0.006412509


r17pk60


Variable label: Proposition: The Government should work more to significantly reduce income differences
Pre-question text: To what extent do you agree or disagree with the following proposition:
Literal question: The Government should work more to significantly reduce the income differences in society.
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 3512 30.9% 0.308503162
2 Agree 3345 29.4% 0.293833450
3 Agree somewhat 2249 19.8% 0.197557976
4 Neither agree nor disagree 990 8.7% 0.086964160
5 Disagree somewhat 622 5.5% 0.054638089
6 Disagree 444 3.9% 0.039002108
7 Strongly disagree 152 1.3% 0.013352073
97 Not answered 70 0.6% 0.006148981


r17pkmeme21


Variable label: Assertion: It is women’s own responsibility to avoid unwanted sexual attention
Literal question: To what extent do you agree or disagree that it is women’s own responsibility to avoid unwanted sexual attention?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 182 1.6% 0.015987351
2 Agree 490 4.3% 0.043042867
3 Agree somewhat 1548 13.6% 0.135980323
4 Neither agree nor disagree 1065 9.4% 0.093552354
5 Disagree somewhat 1335 11.7% 0.117269852
6 Disagree 3209 28.2% 0.281886859
7 Strongly disagree 3472 30.5% 0.304989459
97 Not answered 83 0.7% 0.007290935


r17pk103


Variable label: How much of an advantage or disadvantage would you say the EEA Agreement represents for Norway?
Literal question: How much of an advantage or disadvantage would you say the EEA Agreement represents for Norway?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 A very great advantage 950 8.3% 0.08345046
2 A great advantage 2713 23.8% 0.23831694
3 An advantage to some extent 3554 31.2% 0.31219255
4 Neither an advantage nor a disadvantage 1522 13.4% 0.13369642
5 A disadvantage to some extent 1426 12.5% 0.12526353
6 A great disadvantage 670 5.9% 0.05885453
7 A very great disadvantage 373 3.3% 0.03276528
97 Not answered 176 1.5% 0.01546030


r17skepsis_qtext


Variable label: [Randomly decides question text of r17skepsis]
Technical description: [Randomly decides question text of r17skepsis]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11329] [Invalid:55] [Range:1-2]

Value Label Cases Percentage
1 Based on what you know, which of the following assertions best describes your view on climate change? 5708 50.4% 0.5038397
2 You may have heard that the global climate is changing due to the increase in temperature over the last 100 years. Based on what you know, which of the following assertions best describes your view on climate change? 5621 49.6% 0.4961603
Sysmiss 55 NA


r17skepsis


Variable label: Your view on climate change
Literal question: [Based on what you know, which of the following assertions best describes your view on climate change?/ You may have heard that the global climate is changing due to the increase in temperature over the last 100 years. Based on what you know, which of the following assertions best describes your view on climate change?]
Technical description: [All respondents asked. The wording depends on r17skepsis_qtext.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 I don’t believe that the climate is changing 74 0.7% 0.006500351
2 I don't know whether the climate is changing or not 529 4.6% 0.046468728
3 I believe that the climate is changing, but that it is only to a small extent due to human action 2634 23.1% 0.231377372
4 I believe that the climate is changing, and that it is to a large extent due to human action 8027 70.5% 0.705112439
97 Not answered 120 1.1% 0.010541110


r17pkkm2


Variable label: How concerned are you about climate change?
Literal question: How concerned are you about climate change?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Not at all concerned 539 4.7% 0.047347154
2 Not very concerned 1554 13.7% 0.136507379
3 Slightly concerned 3342 29.4% 0.293569923
4 Very concerned 3666 32.2% 0.322030921
5 Extremely concerned 2209 19.4% 0.194044273
97 Not answered 74 0.7% 0.006500351


r17pkkm42_ask


Variable label: [Randomizes if r17rekruttert !=16 and chooses randomly if r17pkkm42 is asked or not. =1 if r17rekruttert = 16. ]
Technical description: [Randomizes if r17rekruttert !=16 and chooses randomly if r17pkkm42 is asked or not. =1 if r17rekruttert = 16. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11324] [Invalid:60] [Range:0-1]

Value Label Cases Percentage
0 Respondent not asked r17pkKM42 3780 33.4% 0.3338043
1 Respondent asked r17pkKM42 7544 66.6% 0.6661957
Sysmiss 60 NA


r17pkkm42


Variable label: Proposal: From 2025, all new private vehicles should be either electric or run on hydrogen
Pre-question text: The National Transport Plan for 2018-29 proposes that all new private vehicles should either be electric or run on hydrogen with effect from 2025.
Literal question: Which of the following statements most closely reflects your views:
Technical description: [Asked if r17pkKM42_ask = 1]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 In 2025 all new private vehicles that are sold should either be electric or run on hydrogen 2569 34.1% 0.340535525
2 In 2025, people should still have the opportunity to purchase new private cars which run on diesel or petrol. 4907 65.0% 0.650450689
97 Not answered 68 0.9% 0.009013786
98 Not asked 3840 NA


r17pkkm4_ask


Variable label: [Randomizes if r17rekruttert !=16 and chooses randomly if r17pkkm4 is asked or not. =1 if r17rekruttert = 16. ]
Technical description: [Randomizes if r17rekruttert !=16 and chooses randomly if r17pkkm4 is asked or not. =1 if r17rekruttert = 16. ]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11323] [Invalid:61] [Range:0-1]

Value Label Cases Percentage
0 Respondent not asked r17pkKM4 3776 33.3% 0.3334805
1 Respondent asked r17pkKM4 7547 66.7% 0.6665195
Sysmiss 61 NA


r17pkkm4


Variable label: Whether we should not allow oil and gas extraction in the Lofoten, Vesterålen and Senja areas
Pre-question text: Please look at the statement below. To what extent do you agree/disagree with this?
Literal question: We should not allow oil and gas extraction in the Lofoten, Vesterålen and Senja areas.
Technical description: [Asked if r17pkKM4_ask = 1]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 2380 31.5% 0.315357096
2 Agree 1276 16.9% 0.169073804
3 Agree somewhat 850 11.3% 0.112627534
4 Neither agree nor disagree 1041 13.8% 0.137935604
5 Disagree somewhat 710 9.4% 0.094077117
6 Disagree 747 9.9% 0.098979727
7 Strongly disagree 522 6.9% 0.069166556
97 Not answered 21 0.3% 0.002782563
98 Not asked 3837 NA


r17pk_vekst


Variable label: Agree/Disagree: Economic growth should be secured through development of industry, despite conflict with environmental interests.
Pre-question text: To what extent do you agree or disagree with the following assertion?
Literal question: Economic growth should be safeguarded through the development of industry, even if it comes into conflict with environmental interests.
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 423 3.7% 0.037157414
2 Agree 1082 9.5% 0.095045678
3 Agree somewhat 2291 20.1% 0.201247365
4 Neither agree nor disagree 1393 12.2% 0.122364722
5 Disagree somewhat 2601 22.8% 0.228478566
6 Disagree 2219 19.5% 0.194922699
7 Strongly disagree 1266 11.1% 0.111208714
97 Not answered 109 1.0% 0.009574842


r17pkby3


Variable label: To what extent do you fear that there will be a new terrorist attack in Norway?
Literal question: To what extent do you fear that there will be a new terrorist attack in Norway?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 566 5.0% 0.049718904
2 To a great extent 1796 15.8% 0.157765285
3 Somewhat 4977 43.7% 0.437192551
4 Slightly 3508 30.8% 0.308151792
5 Not at all 461 4.0% 0.040495432
97 Not answered 76 0.7% 0.006676037


r17pk52


Variable label: Agree/disagree: More measures to protect citizens from terrorist threats, even at the expense of privacy
Pre-question text: To what extent do you agree or disagree with the following proposition:
Literal question: The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 1091 9.6% 0.095836261
2 Agree 2391 21.0% 0.210031623
3 Agree somewhat 3212 28.2% 0.282150387
4 Neither agree nor disagree 1358 11.9% 0.119290232
5 Disagree somewhat 1335 11.7% 0.117269852
6 Disagree 1300 11.4% 0.114195362
7 Strongly disagree 613 5.4% 0.053847505
97 Not answered 84 0.7% 0.007378777


r17sdo7_1


Variable label: Assertion: Ideally some groups in society should be on top and others on the bottom
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: An ideal society requires some groups to be on top and others to be on the bottom
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 1975 30.8% 0.30806426
2 2 - Somewhat oppose 1219 19.0% 0.19014194
3 3 - Slightly oppose 847 13.2% 0.13211667
4 4 - Neutral 866 13.5% 0.13508033
5 5 - Slightly favor 793 12.4% 0.12369365
6 6 - Somewhat favor 528 8.2% 0.08235845
7 7 - Strongly favor 116 1.8% 0.01809390
97 Not answered 67 1.0% 0.01045079
98 Not asked 4973 NA


r17sdo7_2


Variable label: Assertion: Some groups of people are simply inferior to other groups
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: Some groups of people are simply inferior to other groups.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 3719 58.0% 0.580096709
2 2 - Somewhat oppose 771 12.0% 0.120262050
3 3 - Slightly oppose 428 6.7% 0.066760256
4 4 - Neutral 726 11.3% 0.113242864
5 5 - Slightly favor 450 7.0% 0.070191858
6 6 - Somewhat favor 204 3.2% 0.031820309
7 7 - Strongly favor 44 0.7% 0.006863204
97 Not answered 69 1.1% 0.010762752
98 Not asked 4973 NA


r17sdo7_3


Variable label: Assertion: No one group should dominate in society
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: No one group should dominate in society.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 486 7.6% 0.07580721
2 2 - Somewhat oppose 358 5.6% 0.05584152
3 3 - Slightly oppose 405 6.3% 0.06317267
4 4 - Neutral 658 10.3% 0.10263609
5 5 - Slightly favor 610 9.5% 0.09514896
6 6 - Somewhat favor 1200 18.7% 0.18717829
7 7 - Strongly favor 2623 40.9% 0.40914054
97 Not answered 71 1.1% 0.01107472
98 Not asked 4973 NA


r17sdo7_4


Variable label: Assertion: Groups at the bottom are just as deserving as groups at the top
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: Groups at the bottom are just as deserving as groups at the top.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 275 4.3% 0.04289502
2 2 - Somewhat oppose 479 7.5% 0.07471533
3 3 - Slightly oppose 620 9.7% 0.09670878
4 4 - Neutral 899 14.0% 0.14022773
5 5 - Slightly favor 714 11.1% 0.11137108
6 6 - Somewhat favor 1310 20.4% 0.20433630
7 7 - Strongly favor 2025 31.6% 0.31586336
97 Not answered 89 1.4% 0.01388239
98 Not asked 4973 NA


r17sdo7_5


Variable label: Assertion: Equality between groups should not be our main goal
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: Equality between groups should not be our main goal.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 1370 21.4% 0.21369521
2 2 - Somewhat oppose 1267 19.8% 0.19762908
3 3 - Slightly oppose 712 11.1% 0.11105912
4 4 - Neutral 1107 17.3% 0.17267197
5 5 - Slightly favor 895 14.0% 0.13960381
6 6 - Somewhat favor 632 9.9% 0.09858056
7 7 - Strongly favor 336 5.2% 0.05240992
97 Not answered 92 1.4% 0.01435034
98 Not asked 4973 NA


r17sdo7_6


Variable label: Assertion: It is unjust to try to make groups equal
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: It is unjust to try to make groups equal.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 1468 22.9% 0.22898144
2 2 - Somewhat oppose 1144 17.8% 0.17844330
3 3 - Slightly oppose 715 11.2% 0.11152706
4 4 - Neutral 1343 20.9% 0.20948370
5 5 - Slightly favor 840 13.1% 0.13102480
6 6 - Somewhat favor 547 8.5% 0.08532210
7 7 - Strongly favor 240 3.7% 0.03743566
97 Not answered 114 1.8% 0.01778194
98 Not asked 4973 NA


r17sdo7_7


Variable label: Assertion: We should equalize conditions for different groups
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: We should do what we can to equalize conditions for different groups.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 55 0.9% 0.008579005
2 2 - Somewhat oppose 164 2.6% 0.025581033
3 3 - Slightly oppose 373 5.8% 0.058181251
4 4 - Neutral 660 10.3% 0.102948058
5 5 - Slightly favor 1192 18.6% 0.185930432
6 6 - Somewhat favor 1510 23.6% 0.235532678
7 7 - Strongly favor 2374 37.0% 0.370301045
97 Not answered 83 1.3% 0.012946498
98 Not asked 4973 NA


r17sdo7_8


Variable label: Assertion: We should give all groups an equal chance to succeed
Pre-question text: Indicate how strongly you support or oppose the following assertions by selecting a number from 1 to 7 on the scale.
Literal question: We should work to give all groups an equal chance to succeed.
Post-question: You can look through the assertions quickly, your first assessment is usually the best.
Technical description: [Asked if r17rekruttert <= 11]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1 - Strongly oppose 26 0.4% 0.004055530
2 2 - Somewhat oppose 34 0.5% 0.005303385
3 3 - Slightly oppose 55 0.9% 0.008579005
4 4 - Neutral 304 4.7% 0.047418499
5 5 - Slightly favor 570 8.9% 0.088909686
6 6 - Somewhat favor 1235 19.3% 0.192637654
7 7 - Strongly favor 4116 64.2% 0.642021526
97 Not answered 71 1.1% 0.011074715
98 Not asked 4973 NA


r17bktivi_1


Variable label: Resembles you: Respect for parents and for older people is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: [He/She] believes that [he/she] should always show respect for [his/her] parents and for older people. It’s important to [him/her] to be obedient.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 166 3.3% 0.03338025
2 2 - Does not resemble me 440 8.8% 0.08847778
3 3 - Slightly resembles me 860 17.3% 0.17293384
4 4 - Somewhat resembles me 1849 37.2% 0.37180776
5 5 - Resembles me 1083 21.8% 0.21777599
6 6 - Very much resembles me 479 9.6% 0.09632013
97 Not answered 96 1.9% 0.01930424
98 Not asked 6411 NA


r17bktivi_2


Variable label: Resembles you: Religious faith is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: Religious faith is important to [him/her]. [He/She] endeavours to do what [his/her] religion requires.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 2657 53.4% 0.53428514
2 2 - Does not resemble me 916 18.4% 0.18419465
3 3 - Slightly resembles me 596 12.0% 0.11984717
4 4 - Somewhat resembles me 453 9.1% 0.09109190
5 5 - Resembles me 164 3.3% 0.03297808
6 6 - Very much resembles me 97 2.0% 0.01950533
97 Not answered 90 1.8% 0.01809773
98 Not asked 6411 NA


r17bktivi_3


Variable label: Resembles you: To help people around you is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: It’s very important to [him/her] to help the people around him. [He/She] wants to do something to make sure they are doing well.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 8 0.2% 0.001608687
2 2 - Does not resemble me 50 1.0% 0.010054293
3 3 - Slightly resembles me 253 5.1% 0.050874724
4 4 - Somewhat resembles me 1726 34.7% 0.347074201
5 5 - Resembles me 1863 37.5% 0.374622964
6 6 - Very much resembles me 985 19.8% 0.198069576
97 Not answered 88 1.8% 0.017695556
98 Not asked 6411 NA


r17bktivi_4


Variable label: Resembles you: To have all people in the world be treated equally is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: [He/She] thinks it’s important that all people in the world be treated equally. [He/She] thinks everyone should have equal opportunities in life.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 28 0.6% 0.005630404
2 2 - Does not resemble me 114 2.3% 0.022923788
3 3 - Slightly resembles me 263 5.3% 0.052885582
4 4 - Somewhat resembles me 1286 25.9% 0.258596421
5 5 - Resembles me 1794 36.1% 0.360748039
6 6 - Very much resembles me 1399 28.1% 0.281319123
97 Not answered 89 1.8% 0.017896642
98 Not asked 6411 NA


r17bktivi_5


Variable label: Resembles you: To be interested in things and to be curious is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: [He/She] thinks it’s important to be interested in things. [He/She] likes to be curious and tries to understand all sorts of issues.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 22 0.4% 0.004423889
2 2 - Does not resemble me 94 1.9% 0.018902071
3 3 - Slightly resembles me 429 8.6% 0.086265836
4 4 - Somewhat resembles me 1589 32.0% 0.319525437
5 5 - Resembles me 1716 34.5% 0.345063342
6 6 - Very much resembles me 1034 20.8% 0.207922783
97 Not answered 89 1.8% 0.017896642
98 Not asked 6411 NA


r17bktivi_6


Variable label: Resembles you: To take risks and look for new experiences is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: [He/She] likes to take risks. [He’s/she’s] always looking for new experiences.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 497 10.0% 0.09993967
2 2 - Does not resemble me 1061 21.3% 0.21335210
3 3 - Slightly resembles me 1674 33.7% 0.33661774
4 4 - Somewhat resembles me 1168 23.5% 0.23486829
5 5 - Resembles me 374 7.5% 0.07520611
6 6 - Very much resembles me 109 2.2% 0.02191836
97 Not answered 90 1.8% 0.01809773
98 Not asked 6411 NA


r17bktivi_7


Variable label: Resembles you: To seek out opportunites to have fun is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: [He/She] seeks out any opportunity to have fun. It is important for [him/her] to do things that give [him/her] pleasure.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 176 3.5% 0.03539111
2 2 - Does not resemble me 587 11.8% 0.11803740
3 3 - Slightly resembles me 1431 28.8% 0.28775387
4 4 - Somewhat resembles me 1826 36.7% 0.36718279
5 5 - Resembles me 634 12.7% 0.12748844
6 6 - Very much resembles me 227 4.6% 0.04564649
97 Not answered 92 1.8% 0.01849990
98 Not asked 6411 NA


r17bktivi_8


Variable label: Resembles you: To be sucessful and to impress other people is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: It’s important to [him/her] to be successful. [He/She] likes to impress other people.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 523 10.5% 0.10516791
2 2 - Does not resemble me 1022 20.6% 0.20550975
3 3 - Slightly resembles me 1663 33.4% 0.33440579
4 4 - Somewhat resembles me 1114 22.4% 0.22400965
5 5 - Resembles me 421 8.5% 0.08465715
6 6 - Very much resembles me 143 2.9% 0.02875528
97 Not answered 87 1.7% 0.01749447
98 Not asked 6411 NA


r17bktivi_9


Variable label: Resembles you: To take the lead and tell others what to do is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: It is important for [him/her] to take the lead and tell others what to do. [He/She] wants people to do as he says.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 563 11.3% 0.11321134
2 2 - Does not resemble me 1053 21.2% 0.21174341
3 3 - Slightly resembles me 1562 31.4% 0.31409612
4 4 - Somewhat resembles me 1323 26.6% 0.26603660
5 5 - Resembles me 313 6.3% 0.06293988
6 6 - Very much resembles me 71 1.4% 0.01427710
97 Not answered 88 1.8% 0.01769556
98 Not asked 6411 NA


r17bktivi_10


Variable label: Resembles you: To have things tidy and clean is important
Pre-question text: Here we briefly describe some people. Read each description, and think about how much this person resembles you.
Literal question: It’s important to [him/her] that things are tidy and clean. [He/She] really doesn’t like things to be messy.
Post-question: For each person described, check the form for how much this person resembles or does not resemble you.
Technical description: [Asked if r17rekruttert = 14 or 16]

[Question text depends on the gender of the respondent]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 1 - Does not resemble me at all 82 1.6% 0.01648904
2 2 - Does not resemble me 264 5.3% 0.05308667
3 3 - Slightly resembles me 685 13.8% 0.13774382
4 4 - Somewhat resembles me 1703 34.2% 0.34244923
5 5 - Resembles me 1364 27.4% 0.27428112
6 6 - Very much resembles me 786 15.8% 0.15805349
97 Not answered 89 1.8% 0.01789664
98 Not asked 6411 NA


r17bk42


Variable label: Do you have children under the age of 16 living at home with you, and in that case how many?
Literal question: Do you have children under the age of 16 living at home with you, and in that case how many?
Technical description: [Asked if r17rekruttert < 15]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:0-6]

Value Label Cases Percentage
0 None 6039 79.0% 0.7900313972
1 1 675 8.8% 0.0883045526
2 2 672 8.8% 0.0879120879
3 3 162 2.1% 0.0211930926
4 4 24 0.3% 0.0031397174
5 5 4 0.1% 0.0005232862
6 6 or more 1 0.0% 0.0001308216
97 Not answered 67 0.9% 0.0087650445
98 Not asked 3740 NA


r17pk14


Variable label: Assertion: Sometimes politics is so complicated that it’s hard to understand
Pre-question text: To what extent do you agree or disagree with the following statement:
Literal question: Sometimes politics is so complicated that people like me do not understand what it’s about.
Technical description: [Asked if r17rekruttert = 16]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 245 6.6% 0.06550802
2 Agree 528 14.1% 0.14117647
3 Agree somewhat 998 26.7% 0.26684492
4 Neither agree nor disagree 358 9.6% 0.09572193
5 Disagree somewhat 456 12.2% 0.12192513
6 Disagree 768 20.5% 0.20534759
7 Strongly disagree 327 8.7% 0.08743316
97 Not answered 60 1.6% 0.01604278
98 Not asked 7644 NA


r17pk13


Variable label: Whether the political system in Norway allow you to have a say
Literal question: How much would you say the political system in Norway allows people like you to have a say in what the government does?
Technical description: [Asked if r17rekruttert = 16]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 To a very great extent 32 0.9% 0.00855615
2 To a great extent 409 10.9% 0.10935829
3 To some extent 1649 44.1% 0.44090909
4 To a small extent 1256 33.6% 0.33582888
5 Not at all 323 8.6% 0.08636364
97 Not answered 71 1.9% 0.01898396
98 Not asked 7644 NA


r17oppvekstkom


Variable label: Municipality of residence at age 15. [Data withheld for the sake of anonymity]
Literal question: We would like to ask you for the municipality in which you lived the year you turned 15. If you lived in several municipalities the year you turned 15, you can give the municipality where you lived for the largest part of the year.
Technical description: [All respondents asked. Custom built search function. Desktop and mobile differed slightly. Device decided upon loading the question.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17oppvekstkom_utland


Variable label: Municipality of residence: Did not live in Norway [Data withheld for the sake of anonymity]
Literal question: I did not live in Norway the year I turned 15.
Technical description: [All respondents asked. Custom built search function. Desktop and mobile differed slightly. Device decided upon loading the question.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17oppvekstkom_mangler


Variable label: Municipality of residence: Municipality not listed [Data withheld for the sake of anonymity]
Literal question: My municipality is not listed.
Technical description: [All respondents asked. Custom built search function. Desktop and mobile differed slightly. Device decided upon loading the question.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17oppvekstkom_other


Variable label: Open: Municipality of residence at age 15. [Data withheld for the sake of anonymity]
Literal question: When I turned 15, I lived in the following municipality:
Technical description: [Asked if r17oppvekstkom_mangler = 1 Custom built search function. Desktop and mobile differed slightly. Device decided upon loading the question.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17oppvekstfylke


Variable label: Respondents home county at 15 years of age
Technical description: [Aggregated variable based on registered municipality in r17oppvekstkom]
Technical attributes: [Question type: -] [Format:integer] [Valid:9680] [Invalid:1704] [Range:-]

Value Label Cases Percentage
3 Oslo 1028 10.6% 0.10619835
11 Rogaland 836 8.6% 0.08636364
15 Møre og Romsdal 569 5.9% 0.05878099
18 Nordland 551 5.7% 0.05692149
30 Viken 1949 20.1% 0.20134298
34 Innlandet 642 6.6% 0.06632231
38 Vestfold og Telemark 757 7.8% 0.07820248
42 Agder 492 5.1% 0.05082645
46 Vestland 1478 15.3% 0.15268595
50 Trøndelag 897 9.3% 0.09266529
54 Troms og Finnmark 481 5.0% 0.04969008
Sysmiss 1704 NA


r17pkby2


Variable label: Whether your local environment has become safer the last couple of years
Pre-question text: Think about your local environment and how it has evolved over the past couple of years.
Literal question: How much safer or more unsafe has it become?
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Much safer 193 1.7% 0.01695362
2 Somewhat safer 927 8.1% 0.08143008
3 No change in safety 6536 57.4% 0.57413914
4 Somewhat more unsafe 3161 27.8% 0.27767041
5 Much more unsafe 440 3.9% 0.03865074
97 Not answered 127 1.1% 0.01115601


r17bk26


Variable label: What is your highest completed education?
Literal question: What is your highest completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description: [Asked if r17rekruttert < 15]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 10 0.1% 0.001308216
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, upper secondary school, 7-year elementary school, secondary modern school or lower secondary school) 382 5.0% 0.049973836
3 Secondary education – general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School, business college) 644 8.4% 0.084249084
4 Secondary education – vocational line of study/education programme (e.g. VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam, business college) 964 12.6% 0.126111983
5 Craft training/shorter education programmes (e.g. vocational school, technical school/college, maritime vocational school, officer candidate school, pilot training, secretary school, home industry school/handicrafts school, master craftsman certificate training) 770 10.1% 0.100732601
6 University/College, less than 3 years, but at least 2 years (e.g. university college graduate 2 and 2½ years) 631 8.3% 0.082548404
7 College – 3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, maritime subjects, military subjects etc.) 1610 21.1% 0.210622711
8 University – 3-4 year education (BA, cand.mag.) 550 7.2% 0.071951858
9 University college – 5-6 year education (MA, hovedfag or longer vocational education on a university college level) 520 6.8% 0.068027211
10 University 5-6 year education (Master, majors or a longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics) 1245 16.3% 0.162872841
11 Researcher level (Doctorate, Ph.d.) 192 2.5% 0.025117739
12 None of the above (please enter): 53 0.7% 0.006933543
97 Not answered 73 1.0% 0.009549974
98 Not asked 3740 NA


r17bk26_kodet


Variable label: What is your highest completed education? [coded]
Literal question: What is your highest completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description:

[Spurt dersom r17rekruttert < 15]

[Lagt til omokdede verdier fra _other-variabler]

[Added recoded values from _other-variables]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 10 0.1% 0.001308216
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, upper secondary school, 7-year elementary school, secondary modern school or lower secondary school) 386 5.0% 0.050497122
3 Secondary education – general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School, business college) 652 8.5% 0.085295657
4 Secondary education – vocational line of study/education programme (e.g. VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam, business college) 968 12.7% 0.126635269
5 Craft training/shorter education programmes (e.g. vocational school, technical school/college, maritime vocational school, officer candidate school, pilot training, secretary school, home industry school/handicrafts school, master craftsman certificate training) 779 10.2% 0.101909995
6 University/College, less than 3 years, but at least 2 years (e.g. university college graduate 2 and 2½ years) 631 8.3% 0.082548404
7 College – 3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, maritime subjects, military subjects etc.) 1615 21.1% 0.211276818
8 University – 3-4 year education (BA, cand.mag.) 551 7.2% 0.072082679
9 University college – 5-6 year education (MA, hovedfag or longer vocational education on a university college level) 520 6.8% 0.068027211
10 University 5-6 year education (Master, majors or a longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics) 1245 16.3% 0.162872841
11 Researcher level (Doctorate, Ph.d.) 192 2.5% 0.025117739
12 None of the above (please enter): 22 0.3% 0.002878074
97 Not answered 73 1.0% 0.009549974
98 Not asked 3740 NA


r17bk26_12_other


Variable label: Open: What is your highest completed education? [Data withheld for the sake of anonymity]
Literal question: What is your highest completed education?
Post-question: If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Technical description: [Asked if r17rekruttert < 15]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17bk25


Variable label: Your gross annual income
Pre-question text: What is your current income?
Literal question: Gross annual income is:
Technical description: [Asked if r17rekruttert < 15]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-8]

Value Label Cases Percentage
1 <150 000 330 4.3% 0.04317111
2 150 000 - 300 000 914 12.0% 0.11957091
3 300 001 - 400 000 1149 15.0% 0.15031397
4 400 001 - 500 000 1290 16.9% 0.16875981
5 500 001 - 600 000 1292 16.9% 0.16902145
6 600 001 - 700 000 941 12.3% 0.12310309
7 700 001 - 1 000 000 1017 13.3% 0.13304553
8 >1 000 000 494 6.5% 0.06462585
97 Not answered 217 2.8% 0.02838828
98 Not asked 3740 NA


r17bk33


Variable label: Work status, the last 7 days
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Technical description: [All respondents asked.]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 In full-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) 5201 45.7% 0.4568692902
2 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of 30 hours per week or more 487 4.3% 0.0427793394
3 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of less than 30 hours per week 413 3.6% 0.0362789881
4 Self-employed 484 4.3% 0.0425158117
5 In education (not paid by an employer) 428 3.8% 0.0375966268
6 Unemployed and actively seeking a job 103 0.9% 0.0090477864
7 Unemployed and not actively seeking a job 41 0.4% 0.0036015460
8 Permanently ill or disabled 591 5.2% 0.0519149684
9 Retired 3141 27.6% 0.2759135629
10 In military service 9 0.1% 0.0007905833
11 Working at home, minding children or providing care to other persons 64 0.6% 0.0056219255
12 Other: 289 2.5% 0.0253865074
97 Not answered 133 1.2% 0.0116830639


r17bk33_kodet


Variable label: Work status, the last 7 days [coded]
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Technical description:

[Alle respondentene spurt.]

[Lagt til omokdede verdier fra _other-variabler]

[Added recoded values from _other-variables]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 In full-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) 5220 45.9% 0.4585382994
2 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of 30 hours per week or more 490 4.3% 0.0430428672
3 In part-time paid work (or on temporary leave such as vacation leave or leave of absence/maternity leave) with working hours of less than 30 hours per week 468 4.1% 0.0411103303
4 Self-employed 498 4.4% 0.0437456079
5 In education (not paid by an employer) 450 4.0% 0.0395291637
6 Unemployed and actively seeking a job 121 1.1% 0.0106289529
7 Unemployed and not actively seeking a job 44 0.4% 0.0038650738
8 Permanently ill or disabled 625 5.5% 0.0549016163
9 Retired 3190 28.0% 0.2802178496
10 In military service 9 0.1% 0.0007905833
11 Working at home, minding children or providing care to other persons 70 0.6% 0.0061489810
12 Other: 65 0.6% 0.0057097681
97 Not answered 134 1.2% 0.0117709065


r17bk33_12_other


Variable label: Open: Work status, the last 7 days [Data withheld for the sake of anonymity]
Literal question: Which of the following descriptions best applies to what you have been doing for the last 7 days.
Post-question: Tick one of the options.
Technical description: [All respondents asked.]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17tidlarbeid


Variable label: Have you previously had income-producing work?
Literal question: Have you previously had income-producing work?
Technical description: [Not asked to those who answered r12arbeid. Neither asked retirees (r12arbeid==8). Further conditions: r17bk33 != 9 and (r17bk33 = 6|7|8|9|10|11 OR (r17bk33 = 5 and respondent above the age of 28 years))]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 2505 96.9% 0.96942724
2 No 66 2.6% 0.02554180
97 Not answered 13 0.5% 0.00503096
98 Not asked 8800 NA


r17bk21


Variable label: Which type of business do you work/worked in?
Literal question: [Which type of business do you work in?/ What was the kind of business where you worked in your previous main occupation?]
Technical description: [Not asked to those who answered r12arbeid. Neither asked retirees (r12arbeid==8). Further conditions: r17bk33 != 9 and (r17bk33 = 6|7|8|9|10|11 OR (r17bk33 = 5 and respondent above the age of 28 years))]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 State, county or municipal administration 999 10.9% 0.108989745
2 Public sector (e.g. school and health services) 2727 29.8% 0.297512546
3 Publicly owned enterprise 571 6.2% 0.062295440
4 Private business 3825 41.7% 0.417303077
5 Family business 119 1.3% 0.012982762
6 Self-employed 551 6.0% 0.060113463
7 Other: 291 3.2% 0.031747763
97 Not answered 83 0.9% 0.009055204
98 Not asked 2218 NA


r17bk21_kodet


Variable label: Which type of business do you work/worked in? [coded]
Literal question: [Which type of business do you work in?/ What was the kind of business where you worked in your previous main occupation?]
Technical description:

[Spurt dersom Ikke stilt til de som har svart på r12arbeid. Heller ikke stilt til dem som oppga at de er pensjonster (r12arbeid==8) Videre vilkår: r17bk33 != 9 og (r17bk33 = 6|7|8|9|10|11 ELLER (r17bk33 = 5 og respondent over 28 år))]

[Lagt til omokdede verdier fra _other-variabler]

[Added recoded values from _other-variables]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-9]

Value Label Cases Percentage
1 State, county or municipal administration 1001 10.9% 0.1092079424
2 Public sector (e.g. school and health services) 2762 30.1% 0.3013310059
3 Publicly owned enterprise 583 6.4% 0.0636046258
4 Private business 3899 42.5% 0.4253763910
5 Family business 121 1.3% 0.0132009601
6 Self-employed 557 6.1% 0.0607680559
7 Other: 138 1.5% 0.0150556404
97 Not answered 103 1.1% 0.0112371809
98 Not asked 2218 NA
8 1 0.0% 0.0001090988
9 1 0.0% 0.0001090988


r17bk21_7_other


Variable label: Other: [Which type of business do you work in?]/[Which type of business have you worked in?] [Data withheld for the sake of anonymity]
Literal question: Other: [Which type of business do you work in?]/[Which type of business have you worked in?]
Technical description: [Not asked to those who answered r12arbeid. Neither asked retirees (r12arbeid==8)]

Further conditions: r17bk33 != 9 and (r17bk33 = 6|7|8|9|10|11 OR (r17bk33 = 5 and respondent above the age of 28 years))] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17ansatte


Variable label: How many employees [do/did] you have?
Literal question: How many employees [do/did] you have?
Technical description: [Asked if r17bk21 = 6]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 None 362 65.7% 0.656987296
2 Fewer than 10 employees 164 29.8% 0.297640653
3 More than 10 employees 24 4.4% 0.043557169
97 Not answered 1 0.2% 0.001814882
98 Not asked 10833 NA


r17leder


Variable label: [Do/Did] you have responsibility for managing other employees’ work in your main job?
Literal question: [Do/Did] you have responsibility for managing other employees’ work in your main job?
Technical description: [Not asked to those who answered r12arbeid. Neither asked retirees (r12arbeid==8). Further conditions: (r17bk33 != 9 and r17bk33 = 1|2|3|4) or r17tidlarbeid = 1]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No 6092 67.0% 0.670187019
2 Yes, I [manage/managed] fewer than 10 employees 1775 19.5% 0.195269527
3 Yes, I [manage/managed] 10 or more employees 1200 13.2% 0.132013201
97 Not answered 23 0.3% 0.002530253
98 Not asked 2294 NA


r17tittel


Variable label: Open: What [is/was] the name or title of your main occupation? [Data withheld for the sake of anonymity]
Literal question: What [is/was] the name or title of your main occupation?
Technical description: [Not asked to those who answered r12arbeid. Neither asked retirees (r12arbeid==8)]

Further conditions: (r17bk33 != 9 and r17bk33 = 1|2|3|4) or r17tidlarbeid = 1] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17arbeidopp


Variable label: Open: What kind of work [do/did] you mostly do in your main occupation? [Data withheld for the sake of anonymity]
Literal question: What kind of work [do/did] you mostly do in your main occupation?
Post-question: Please describe this so that we get a clear picture of what the work [entails/entailed].
Technical description: [Not asked to those who answered r12arbeid. Neither asked retirees (r12arbeid==8)]

[Data tilbakeholdt av hensyn til anonymitet] Further conditions: (r17bk33 != 9 and r17bk33 = 1|2|3|4) or r17tidlarbeid = 1] [Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17arbeid_par


Variable label: Does your spouse/partner currently have any income-producing work?
Literal question: Does your spouse/partner currently have any income-producing work?
Post-question: Tick the most suitable option
Technical description: [Asked if r17tidlarbeid = 2]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Yes 11 16.7% 0.1666667
2 No 29 43.9% 0.4393939
3 Do not have a spouse/partner 19 28.8% 0.2878788
4 Am a widow/widower 7 10.6% 0.1060606
97 Not answered 0 0.0% 0.0000000
98 Not asked 11318 NA


r17opp_par


Variable label: What are your spouse’s/partner’s main tasks or source of livelihood?
Literal question: What are your spouse’s/partner’s main tasks or source of livelihood?
Technical description: [Asked if r17arbeid_par = 2]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Student, pupil 4 13.8% 0.1379310
2 At home 0 0.0% 0.0000000
3 Pensioner 13 44.8% 0.4482759
4 Unemployed 3 10.3% 0.1034483
5 Early pensioner, disabled 5 17.2% 0.1724138
6 Conscript 0 0.0% 0.0000000
7 Other 4 13.8% 0.1379310
97 Not answered 0 0.0% 0.0000000
98 Not asked 11355 NA


r17tidlarb_par


Variable label: Did your spouse/partner have income-producing work?
Literal question: Did your spouse/partner have income-producing work?
Technical description: [Asked if r17opp_par = 2|3|4|5 or r17arbeid_par = 4]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Yes 13 46.4% 0.46428571
2 No 14 50.0% 0.50000000
97 Not answered 1 3.6% 0.03571429
98 Not asked 11356 NA


r17hovedyrke_par


Variable label: Your partner’s work status in their main occupation
Literal question: In their main occupation, [is, was, did] your partner/spouse…
Technical description: [Asked if r17arbeid_par = 1 or r17tidlarb_par = 1]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 employed 19 79.2% 0.79166667
2 self-employed 4 16.7% 0.16666667
3 [work/working] in a family-owned business 0 0.0% 0.00000000
97 Not answered 1 4.2% 0.04166667
98 Not asked 11360 NA


r17ansatte_par


Variable label: How many employees [does/did] your partner/spouse have?
Literal question: How many employees [does/did] your partner/spouse have?
Technical description: [Asked if r17hovedyrke_par = 2]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 None 2 50.0% 0.5
2 Fewer than 10 employees 2 50.0% 0.5
3 More than 10 employees 0 0.0% 0.0
97 Not answered 0 0.0% 0.0
98 Not asked 11380 NA


r17leder_par


Variable label: Your partner’s responsibility for managing other employees’ work
Literal question: [Do/Did] your partner/spouse have responsibility for managing other employees’ work in their main job?
Technical description: [Asked if r17hovedyrke_par = 1|3]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No 13 68.4% 0.6842105
2 Yes, he/she [has/had] fewer than 10 employees 4 21.1% 0.2105263
3 Yes, he/she [has/had] 10 or more employees 2 10.5% 0.1052632
97 Not answered 0 0.0% 0.0000000
98 Not asked 11365 NA


r17tittel_par


Variable label: Open: Name the main occupation of your partner [Data withheld for the sake of anonymity]
Literal question: What [is/was] the name or title of the main occupation of your partner/spouse?
Technical description: [Asked if r17arbeid_par = 1 or r17tidlarbe_par = 1]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17arbeidopp_par


Variable label: What kind of work does/did your partner do in their main occupation? [Data withheld for the sake of anonymity]
Literal question: What kind of work [does/did] your partner/spouse mostly do in their main occupation?
Post-question: Please describe this so that we get a clear picture of what the work [entails/entailed].
Technical description: [Asked if r17arbeid_par = 1 or r17tidlarbe_par = 1]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17arbeid_for


Variable label: When you were fourteen years old, who was the main breadwinner in your household?
Literal question: When you were fourteen years old, who was the main breadwinner in your household?
Technical description: [Asked if r17arbeid_par = 3 or r17tidlarb_par = 2 or r17opp_par = 1|6|7]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 My father 16 39.0% 0.39024390
2 My mother 5 12.2% 0.12195122
3 Both parents 18 43.9% 0.43902439
4 Someone else 0 0.0% 0.00000000
5 No one in the household worked 2 4.9% 0.04878049
6 Don't know 0 0.0% 0.00000000
97 Not answered 0 0.0% 0.00000000
98 Not asked 11343 NA


r17hovedyrke_far


Variable label: Your father’s main occupation when you were fourteen years old
Literal question: Your father’s main occupation when you were fourteen years old was…
Technical description: [Asked if r17arbeid_for = 1|3]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 employed 21 61.8% 0.61764706
2 self-employed 10 29.4% 0.29411765
3 worked in a family owned business 1 2.9% 0.02941176
4 Don't know 2 5.9% 0.05882353
97 Not answered 0 0.0% 0.00000000
98 Not asked 11350 NA


r17ansatte_far


Variable label: Approximately how many employees did your father have?
Literal question: Approximately how many employees did your father have?
Technical description: [Asked if r17hovedyrke_far = 2]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 None 4 40.0% 0.4
2 Fewer than 10 employees 4 40.0% 0.4
3 More than 10 employees 0 0.0% 0.0
4 Don't know 2 20.0% 0.2
97 Not answered 0 0.0% 0.0
98 Not asked 11374 NA


r17leder_far


Variable label: Did your father have responsibility for managing other employees’ work in their main job?
Literal question: Did your father have responsibility for managing other employees’ work in their main job?
Technical description: [Asked if r17hovedyrke_far = 1|3]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 No 15 68.2% 0.68181818
2 Yes, he managed fewer than 10 employees 4 18.2% 0.18181818
3 Yes, he managed 10 or more employees 1 4.5% 0.04545455
4 Don't know 1 4.5% 0.04545455
97 Not answered 1 4.5% 0.04545455
98 Not asked 11362 NA


r17ltittel_far


Variable label: Open: What was the name or title of your father’s main occupation? [Data withheld for the sake of anonymity]
Literal question: What was the name or title of your father’s main occupation?
Technical description: [Asked if r17hovedyrke_for = 1|3]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17arbeidopp_far


Variable label: Open: What kind of work did your father mainly do in his main occupation? [Data withheld for the sake of anonymity]
Literal question: What kind of work did your father mainly do in his main occupation?
Post-question: Please describe this so that we get a clear picture of what the work entailed.
Technical description: [Asked if r17hovedyrke_for = 1|3]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17hovedyrke_mor


Variable label: Your mother’s main occupation when you were fourteen years old
Literal question: Your mother’s main occupation when you were fourteen years old was…
Technical description: [Asked if r17arbeid_for = 2|3]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 employed 18 78.3% 0.78260870
2 self-employed 2 8.7% 0.08695652
3 worked in a family owned business 1 4.3% 0.04347826
4 Don't know 1 4.3% 0.04347826
97 Not answered 1 4.3% 0.04347826
98 Not asked 11361 NA


r17ansatte_mor


Variable label: Approximately how many employees did your mother have?
Literal question: Approximately how many employees did your mother have?
Technical description: [Asked if r17hovedyrke_mor = 2]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 None 1 50.0% 0.5
2 Fewer than 10 employees 1 50.0% 0.5
3 More than 10 employees 0 0.0% 0.0
4 Don't know 0 0.0% 0.0
97 Not answered 0 0.0% 0.0
98 Not asked 11382 NA


r17leder_mor


Variable label: Did your mother have responsibility for managing other employees’ work in their main job?
Literal question: Did your mother have responsibility for managing other employees’ work in their main job?
Technical description: [Asked if r17hovedyrke_mor = 1|3]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 No 15 78.9% 0.78947368
2 Yes, she managed fewer than 10 employees 0 0.0% 0.00000000
3 Yes, she managed 10 or more employees 1 5.3% 0.05263158
4 Don't know 3 15.8% 0.15789474
97 Not answered 0 0.0% 0.00000000
98 Not asked 11365 NA


r17tittel_mor


Variable label: Open: What was the name or title of your mother’s main occupation? [Data withheld for the sake of anonymity]
Literal question: What was the name or title of your mother’s main occupation?
Technical description: [Asked if r17arbeid_for = 2|3]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17arbeidopp_mor


Variable label: Open: What kind of work did your mother mainly do in her main occupation? [Data withheld for the sake of anonymity]
Literal question: What kind of work did your mother mainly do in her main occupation?
Post-question: Please describe this so that we get a clear picture of what the work entailed.
Technical description: [Asked if r17arbeid_for = 2|3]

[Text data will not be distributed due to privacy considerations. However, data can be made available for researchers after contacting The Norwegian Citizen Panel at University of Bergen.]
Technical attributes: [Question type: -] [Format:integer] [Valid:0] [Invalid:11384] [Range:-]



r17P1


Variable label: Gender
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 5636 49.5% 0.4950808
2 Female 5748 50.5% 0.5049192


r17P2


Variable label: Region
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo 1781 15.6% 0.15644765
2 Østlandet 4094 36.0% 0.35962755
3 Sørlandet 572 5.0% 0.05024596
4 Vestlandet 3089 27.1% 0.27134575
5 Trøndelag 963 8.5% 0.08459241
6 Nord-Norge 885 7.8% 0.07774069


r17P3


Variable label: County
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:3-54]

Value Label Cases Percentage
3 Oslo 1781 15.6% 0.15644765
11 Rogaland 1036 9.1% 0.09100492
15 Møre og Romsdal 479 4.2% 0.04207660
18 Nordland 425 3.7% 0.03733310
30 Viken 2643 23.2% 0.23216796
34 Innlandet 592 5.2% 0.05200281
38 Vestfold og Telemark 859 7.5% 0.07545678
42 Agder 572 5.0% 0.05024596
46 Vestland 1574 13.8% 0.13826423
50 Trøndelag 963 8.5% 0.08459241
54 Troms og Finnmark 460 4.0% 0.04040759


r17P3_2


Variable label: Constituencies parliament election 2021
Technical attributes: [Question type: -] [Format:numeric] [Valid:11380] [Invalid:4] [Range:1-19]

Value Label Cases Percentage
3 Østfold 559 4.9% 0.04912127
1 Akershus 1565 13.8% 0.13752197
2 Oslo 1781 15.7% 0.15650264
5 Hedmark 327 2.9% 0.02873462
6 Oppland 264 2.3% 0.02319859
7 Buskerud 519 4.6% 0.04560633
4 Vestfold 535 4.7% 0.04701230
8 Telemark 324 2.8% 0.02847100
10 Aust-Agder 209 1.8% 0.01836555
9 Vest-Agder 362 3.2% 0.03181019
11 Rogaland 1036 9.1% 0.09103691
12 Hordaland 1366 12.0% 0.12003515
13 Sogn og Fjordane 207 1.8% 0.01818981
14 Møre og Romsdal 478 4.2% 0.04200351
16 Sør-Trøndelag 746 6.6% 0.06555360
15 Nord-Trøndelag 217 1.9% 0.01906854
17 Nordland 425 3.7% 0.03734622
18 Troms 339 3.0% 0.02978910
19 Finnmark 121 1.1% 0.01063269
Sysmiss 4 NA


r17P4_1


Variable label: Highest completed education
Technical description: [This variable is a compilation of bk26-variables and k26-variables. These variables has been somewhat modified over time]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 611 5.4% 0.05367182
2 Upper secondary education 3609 31.7% 0.31702389
3 University/University college 6948 61.0% 0.61033029
97 Not answered 216 1.9% 0.01897400


r17P4_2


Variable label: Highest completed education
Technical description: [This variable recodes the compilation of bk26-variables and k26-variables. These variables has been somewhat modified over time]
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-12]

Value Label Cases Percentage
1 No completed education 20 0.2% 0.001756852
2 Primary and lower secondary school (completed either the first part of compulsory education (elementary school), primary and lower secondary school, 7-year elementary school, secondary modern school or lower secondary school) 591 5.2% 0.051914968
3 Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School) 1003 8.8% 0.088106114
4 Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam ) 1483 13.0% 0.130270555
5 Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college) 1123 9.9% 0.098647224
6 University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years) 906 8.0% 0.079585383
7 College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.) 2403 21.1% 0.211085734
8 University-3-4 year education (Bachelor, cand.mag.) 812 7.1% 0.071328180
9 College-5-6 year education (Master, major) 761 6.7% 0.066848208
10 University 5-6 year education (Master, majors (longer professional education (MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economic 1779 15.6% 0.156271961
11 Researcher level (Doctorate, Ph.d.) 287 2.5% 0.025210822
12 None of the above (please enter): 142 1.2% 0.012473647
97 Not answered 74 0.7% 0.006500351


r17P5_1


Variable label: Year of birth
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 1939 or earlier 310 2.7% 0.02723120
2 1940-1949 1883 16.5% 0.16540759
3 1950-1959 2742 24.1% 0.24086437
4 1960-1969 2455 21.6% 0.21565355
5 1970-1979 1759 15.5% 0.15451511
6 1980-1989 1259 11.1% 0.11059382
7 1990 or later 976 8.6% 0.08573436


r17P5_2


Variable label: Year of birth
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 4935 43.4% 0.43350316
2 1960-1989 5473 48.1% 0.48076247
3 1990 or later 976 8.6% 0.08573436


r17Weight1


Variable label: Weight based on variables P3, P5_2, and P1. See documentation report.
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:0-4]



r17Weight2


Variable label: Weight based on variables P3, P5_2, P4, and P1. See documentation report.
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:0-30]



r17Weight4


Variable label: Weight based on variables P1, P2, P4_1 (Note! recoded to two-level: 1) upper secondary and lower, and 2) University/University college), and age. Similiar to Weight2 only with capped weight value (x is >= .2 and x <= 5).
Technical attributes: [Question type: -] [Format:numeric] [Valid:11384] [Invalid:0] [Range:0-4]