Codebook

Norwegian Citizen Panel

Round 29

v-102 - 2024-06-27

Produced by ideas2evidence

Citation

Researchers responsible

Name	Affiliation
Elisabeth Ivarsflaten	UiB
Stefan Dahlberg	UiB
Sina Storelv	UiB
Erla Løvseth	UiB
Lise Lund Bjånesøy	UiB
Troy Saghaug Broderstad	UiT
Hege Høivik Bye	UiB
Gisela Böhm	UiB
Marta Rekdal Eidheim	UiB
Thea Gregersen	NORCE
Erik Knudsen	UiB
Åsta Dyrnes Nordø	NORCE
Arjan Schakel	UiB
Endre Tvinnereim	UiB

Coordinating team

Name
Erla Løvseth
Sina Storelv

Producers

Name	Affiliation	Role
Øivind Skjervheim	ideas2evidence	Coordinator
Olav Bjørnebekk	ideas2evidence	Project team member
Joachim Wettergreen	ideas2evidence	Project team member
Ola Grendal	ideas2evidence	Project team member
Georg Stokke	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 in 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 Sikt - Norwegian Agency for Shared Services in Education and Research. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at uib.no/en/citizen

Scope

Geographic coverage: National geographic coverage. Counties as geographic coding.
Unit of analysis: Individuals
Universe: Norwegian citizens 18 years or older.

Methodology

Sampling procedure

Members of the Norwegian Citizen Panel have been recruited in the following waves:

Round	Sample size	Recruited
1	25 000	4 870
3	25 000	5 623
8	22 000	4 245
11	14 000	2 069
14	14 000	2 036
16	34 000	5 163
18	14 000	2 048
22	23 000	3 221
25	18 000	2 405

All samples are drawn from the Norwegian National Population Registry. 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.

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 documentation and other information from previous waves: https://surveybanken.sikt.no/en/series/ed271b1c-2595-47e4-8c97-3fcc00f02368. Screenshots of the questions are available on request from DIGSSCORE.

In wave 29, email invitations were sent out on 15th of January 2024 for softlaunch, and on the 15th of January for the main launch.

An email with reminder was sent out three times; 19th of January, 24th of January, and 29th of January 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 email.

Wave 29 ended on the 5th of February 2024.

Weighting

To compensate for observed bias, a weight has been calculated. The weight 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.

When calculating the weight, 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. Respondents with missing data on the education variable are only weighted on demography (the education component of the weight is set to 1 in these cases).

One weight have been calculated:

Weight combining gender, age, geography, and two-part education.

When applied, the weight will provide a weighted N equal to the number of cases in the dataset. In other words, the weight are calculated using the whole dataset. NCP has an extensive use of (randomized) sub-groups, which might alter the demographic profile of the sub-group compared to the whole dataset. If custom weights are necessary, data is included in the dataset which indicates the proportion size of strata in the population.

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-102	2024-06-27	NA	Revised release of round 29
NA	2024-06-27	c26_bginc	Variable documentation updated
NA	2024-06-27	c26_bgchi	Variable documentation updated
NA	2024-06-27	c27_bgoily_decade	Variable documentation updated
NA	2024-06-27	r29_pcmipo_1_coded1	Variable documentation updated
NA	2024-06-27	r29_pcmipo_2_coded1	Variable documentation updated
NA	2024-06-27	r29_pcmipo_3_coded1	Variable documentation updated
NA	2024-06-27	r29P1	Variable documentation updated
NA	2024-06-27	r29P2	Variable documentation updated
NA	2024-06-27	r29P3	Variable documentation updated
NA	2024-06-27	r29P3_2	Variable documentation updated
NA	2024-06-27	r29P4_1	Variable documentation updated
NA	2024-06-27	r29P4_2	Variable documentation updated
NA	2024-06-27	r29P5_1	Variable documentation updated
NA	2024-06-27	r29P5_2	Variable documentation updated
NA	2024-06-27	r29_Weight4	Variable documentation updated
NA	2024-06-27	r29_Weight4_stratapop	Variable documentation updated
NA	2024-06-27	r29_generic_stratapop	Variable documentation updated
NA	2024-06-27	r29P_moved	Variable documentation updated
NA	2024-06-27	r29P5_3	Variable documentation updated
v-101	2024-06-21	NA	Revised release of round 29
NA	2024-06-18	c26_pcipe	Variable documentation updated
NA	2024-06-18	c26_pcepe	Variable documentation updated
NA	2024-06-18	r29_pcldpsv	Variable documentation updated
NA	2024-06-18	r29_rekruttert	Variable documentation updated
NA	2024-06-18	r29_pcldpk	Variable documentation updated
NA	2024-06-18	r29_pcldph	Variable documentation updated
NA	2024-06-18	r29_pcldpf	Variable documentation updated
NA	2024-06-18	r29_pcldpv	Variable documentation updated
NA	2024-06-18	r29_pcldpsp	Variable documentation updated
NA	2024-06-18	r29_pcldpm	Variable documentation updated
NA	2024-06-18	r29_pcldpa	Variable documentation updated
NA	2024-06-18	r29_pcldpr	Variable documentation updated
NA	2024-06-18	r29_pcmipo_1_coded1	Variable documentation inserted
NA	2024-06-18	r29_pcmipo_2_coded1	Variable documentation inserted
NA	2024-06-18	r29_pcmipo_3_coded1	Variable documentation inserted
NA	2024-06-13	r29_pcmipo_1_coded1	Variable documentation updated
NA	2024-06-13	r29_pcmipo_2_coded1	Variable documentation updated
NA	2024-06-13	r29_pcmipo_3_coded1	Variable documentation updated
NA	2024-06-13	r29_bgciv	Variable documentation updated
NA	2024-06-13	r29_pcpar	Variable documentation updated
NA	2024-06-13	r29_bgedu	Variable documentation updated
NA	2024-06-13	r29_bgday	Variable documentation updated
NA	2024-06-13	r29_bgsct	Variable documentation updated
NA	2024-06-13	r29_bgscp	Variable documentation updated
NA	2024-06-13	r29_bgind_1	Variable documentation updated
NA	2024-06-13	r29_bgind_2	Variable documentation updated
NA	2024-06-13	r29_bgind_3	Variable documentation updated
NA	2024-06-13	r29_bgind_4	Variable documentation updated
NA	2024-06-13	r29_bgind_5	Variable documentation updated
NA	2024-06-13	r29_bgind_6	Variable documentation updated
NA	2024-06-13	r29_bgind_7	Variable documentation updated
NA	2024-06-13	r29_bgind_8	Variable documentation updated
NA	2024-06-13	r29_bgind_9	Variable documentation updated
NA	2024-06-13	r29_bgind_10	Variable documentation updated
NA	2024-06-13	r29_bgind_11	Variable documentation updated
NA	2024-06-13	r29_bgind_12	Variable documentation updated
NA	2024-06-13	r29_bgind_13	Variable documentation updated
NA	2024-06-13	r29_bgind_14	Variable documentation updated
NA	2024-06-13	r29_bgind_15	Variable documentation updated
NA	2024-06-13	r29_bgind_16	Variable documentation updated
NA	2024-06-13	r29_bgind_17	Variable documentation updated
NA	2024-06-13	r29_bgind_18	Variable documentation updated
NA	2024-06-13	r29_bgind_19	Variable documentation updated
NA	2024-06-13	r29_bgind_20	Variable documentation updated
NA	2024-06-13	r29_bgind_21	Variable documentation updated
NA	2024-06-13	r29_mobil	Variable documentation updated
NA	2024-06-13	r29_dvase_4	Variable documentation updated
NA	2024-06-13	r29_pcmsc	Variable documentation updated
NA	2024-06-13	r29_pcmsc_txt	Variable documentation updated
NA	2024-06-13	r29_pcpar_14_other	Variable documentation updated
NA	2024-06-13	r29_bgedu_12_other	Variable documentation updated
NA	2024-06-13	r29_bgday_12_other	Variable documentation updated
NA	2024-06-13	r29_bgsct_6_other	Variable documentation updated
NA	2024-06-13	r29_bgscp_6_other	Variable documentation updated
NA	2024-06-13	r29_bgind_21_other	Variable documentation updated
NA	2024-06-13	r29_hewor_1_other	Variable documentation updated
NA	2024-06-13	r29P5_1	Variable documentation updated
NA	2024-06-13	r29P5_2	Variable documentation updated
NA	2024-06-13	r29P5_3	Variable documentation inserted
NA	2024-06-12	r29_bgciv	Added variable: Coded version of r29_bgciv_raw
NA	2024-06-12	r29_pcpar	Added variable: Coded version of r29_pcpar_raw
NA	2024-06-12	r29_bgedu	Added variable: Coded version of r29_bgedu_raw
NA	2024-06-12	r29_bgday	Added variable: Coded version of r29_bgday_raw
NA	2024-06-12	r29_bgsct	Added variable: Coded version of r29_bgsct_raw
NA	2024-06-12	r29_bgscp	Added variable: Coded version of r29_bgscp_raw
NA	2024-06-12	r29_bgind_1	Added variable: Coded version of r29_bgind_1_raw
NA	2024-06-12	r29_bgind_2	Added variable: Coded version of r29_bgind_2_raw
NA	2024-06-12	r29_bgind_3	Added variable: Coded version of r29_bgind_3_raw
NA	2024-06-12	r29_bgind_4	Added variable: Coded version of r29_bgind_4_raw
NA	2024-06-12	r29_bgind_5	Added variable: Coded version of r29_bgind_5_raw
NA	2024-06-12	r29_bgind_6	Added variable: Coded version of r29_bgind_6_raw
NA	2024-06-12	r29_bgind_7	Added variable: Coded version of r29_bgind_7_raw
NA	2024-06-12	r29_bgind_8	Added variable: Coded version of r29_bgind_8_raw
NA	2024-06-12	r29_bgind_9	Added variable: Coded version of r29_bgind_9_raw
NA	2024-06-12	r29_bgind_10	Added variable: Coded version of r29_bgind_10_raw
NA	2024-06-12	r29_bgind_11	Added variable: Coded version of r29_bgind_11_raw
NA	2024-06-12	r29_bgind_12	Added variable: Coded version of r29_bgind_12_raw
NA	2024-06-12	r29_bgind_13	Added variable: Coded version of r29_bgind_13_raw
NA	2024-06-12	r29_bgind_14	Added variable: Coded version of r29_bgind_14_raw
NA	2024-06-12	r29_bgind_15	Added variable: Coded version of r29_bgind_15_raw
NA	2024-06-12	r29_bgind_16	Added variable: Coded version of r29_bgind_16_raw
NA	2024-06-12	r29_bgind_17	Added variable: Coded version of r29_bgind_17_raw
NA	2024-06-12	r29_bgind_18	Added variable: Coded version of r29_bgind_18_raw
NA	2024-06-12	r29_bgind_19	Added variable: Coded version of r29_bgind_19_raw
NA	2024-06-12	r29_bgind_20	Added variable: Coded version of r29_bgind_20_raw
NA	2024-06-12	r29_bgind_21	Added variable: Coded version of r29_bgind_21_raw
NA	2024-06-12	r29_pcmipo_1_coded1	Added variable: Coded version of r29_pcmipo_1
NA	2024-06-12	r29_pcmipo_2_coded1	Added variable: Coded version of r29_pcmipo_2
NA	2024-06-12	r29_pcmipo_3_coded1	Added variable: Coded version of r29_pcmipo_3
v-100	2024-03-26	NA	Initial release of round 29
NA	2024-03-12	r28_pcvot23m	Updated variable: New versions of r28_pcvot23m that includes coded other-statements
NA	2024-03-12	r28_pcvot23c	Updated variable: New versions of r28_pcvot23c that includes coded other-statements
NA	2024-03-12	r28_pcvot23m	Variable documentation updated
NA	2024-03-12	r28_pcvot23c	Variable documentation updated
NA	2024-01-23	r28_pcvot23m	Variable documentation updated

Dataset contents

File name	Norwegian Citizen Panel - round 29 - v-102-O.sav
Distribution type	Public
# Cases	10099
# Variables	254

Variable Documentation

responseid

Variable label:	responseid
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_rekruttert

Variable label:	The wave the respondent was recruited
Field period:	15.01.2024 - 05.02.2024
Technical description:	The wave the respondent was recruited
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-25]

Value	Label	Cases	Percentage
1	Wave 1	1279	12.7%	0.12664620
3	Wave 3	1326	13.1%	0.13130013
8	Wave 8	1239	12.3%	0.12268541
11	Wave 11	669	6.6%	0.06624418
14	Wave 14	698	6.9%	0.06911575
16	Wave 16	1798	17.8%	0.17803743
18	Wave 18	712	7.1%	0.07050203
22	Wave 22	1284	12.7%	0.12714130
25	Wave 25	1094	10.8%	0.10832756

r29_interview_start

Variable label:	[Date and time of when the respondent first opened the questionnaire. Excel-format.]
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Date and time of when the respondent first opened the questionnaire. Excel-format.]
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_interview_end

Variable label:	[Date and time of when the respondent completed the questionnaire. Excel-format.]
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Date and time of when the respondent completed the questionnaire. Excel-format.]
Technical attributes:	[Question type: -] [Format:character] [Valid:9345] [Invalid:754] [Range:-]

r29_browsertype

Variable label:	Browertype used by respondent
Field period:	15.01.2024 - 05.02.2024
Technical description:	Browertype used by respondent
Technical attributes:	[Question type:Open] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_browserversion

Variable label:	Browser version used by respondent
Field period:	15.01.2024 - 05.02.2024
Technical description:	Browser version used by respondent
Technical attributes:	[Question type:Open] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_mobil

Variable label:	Determines if the respondents uses mobile/tablet
Field period:	15.01.2024 - 05.02.2024
Technical description:	Determines if the respondents uses mobile/tablet
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
0	Other	5311	52.6%	0.5258937
1	Mobile	4788	47.4%	0.4741063

r29_opplosning

Variable label:	Screen resolution of the applied device
Field period:	15.01.2024 - 05.02.2024
Technical description:	Screen resolution of the applied device
Technical attributes:	[Question type:Open] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_enhetstype

Variable label:	Determines respondents device type
Field period:	15.01.2024 - 05.02.2024
Technical description:	Determines respondents device type
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	PC	5311	52.6%	0.525893653
2	Touch	4736	46.9%	0.468957323
3	Generic	52	0.5%	0.005149025

r29_advancedwifeaturesenabled

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.
Field period:	15.01.2024 - 05.02.2024
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:Open] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_getrenderingmode

Variable label:	Detects the browsers rendering mode
Field period:	15.01.2024 - 05.02.2024
Technical description:	Detects the browsers rendering mode
Technical attributes:	[Question type:Open] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r29_pcmipo_1

Variable label:	Open: What are the most important political issues or areas for you personally? (1)
Pre-question text:	What are the most important political issues or areas for you personally?
Literal question:	1:
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.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:0] [Invalid:10099] [Range:-]

r29_pcmipo_2

Variable label:	Open: What are the most important political issues or areas for you personally? (2)
Pre-question text:	What are the most important political issues or areas for you personally?
Literal question:	2:
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.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:0] [Invalid:10099] [Range:-]

r29_pcmipo_3

Variable label:	Open: What are the most important political issues or areas for you personally? (3)
Pre-question text:	What are the most important political issues or areas for you personally?
Literal question:	3:
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.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:0] [Invalid:10099] [Range:-]

r29_pcldpk

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1213	12.0%	0.12011090
2	Really dislike	1793	17.8%	0.17754233
3	Dislike somewhat	2261	22.4%	0.22388355
4	Neither like nor dislike	2452	24.3%	0.24279632
5	Like somewhat	1721	17.0%	0.17041291
6	Really like	443	4.4%	0.04386573
7	Intensely like	114	1.1%	0.01128825
97	Not answered	102	1.0%	0.01010001

r29_pcldph

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	558	5.5%	0.055252995
2	Really dislike	1421	14.1%	0.140707001
3	Dislike somewhat	1858	18.4%	0.183978612
4	Neither like nor dislike	1149	11.4%	0.113773641
5	Like somewhat	2380	23.6%	0.235666898
6	Really like	1969	19.5%	0.194969799
7	Intensely like	675	6.7%	0.066838301
97	Not answered	89	0.9%	0.008812754

r29_pcldpf

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	2684	26.6%	0.26576889
2	Really dislike	2081	20.6%	0.20606001
3	Dislike somewhat	1416	14.0%	0.14021190
4	Neither like nor dislike	934	9.2%	0.09248440
5	Like somewhat	1650	16.3%	0.16338251
6	Really like	898	8.9%	0.08891970
7	Intensely like	335	3.3%	0.03317160
97	Not answered	101	1.0%	0.01000099

r29_pcldpv

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	556	5.5%	0.05505496
2	Really dislike	1043	10.3%	0.10327755
3	Dislike somewhat	1919	19.0%	0.19001881
4	Neither like nor dislike	2629	26.0%	0.26032280
5	Like somewhat	2705	26.8%	0.26784830
6	Really like	944	9.3%	0.09347460
7	Intensely like	200	2.0%	0.01980394
97	Not answered	103	1.0%	0.01019903

r29_pcldpsv

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1070	10.6%	0.10595108
2	Really dislike	1420	14.1%	0.14060798
3	Dislike somewhat	1528	15.1%	0.15130211
4	Neither like nor dislike	1498	14.8%	0.14833152
5	Like somewhat	2232	22.1%	0.22101198
6	Really like	1636	16.2%	0.16199624
7	Intensely like	608	6.0%	0.06020398
97	Not answered	107	1.1%	0.01059511

r29_pcldpsp

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1162	11.5%	0.115060897
2	Really dislike	1952	19.3%	0.193286464
3	Dislike somewhat	2445	24.2%	0.242103179
4	Neither like nor dislike	2020	20.0%	0.200019804
5	Like somewhat	1898	18.8%	0.187939400
6	Really like	448	4.4%	0.044360828
7	Intensely like	77	0.8%	0.007624517
97	Not answered	97	1.0%	0.009604911

r29_pcldpm

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1829	18.1%	0.181107040
2	Really dislike	1531	15.2%	0.151599168
3	Dislike somewhat	1658	16.4%	0.164174671
4	Neither like nor dislike	1456	14.4%	0.144172690
5	Like somewhat	2212	21.9%	0.219031587
6	Really like	1043	10.3%	0.103277552
7	Intensely like	282	2.8%	0.027923557
97	Not answered	88	0.9%	0.008713734

r29_pcldpa

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	712	7.1%	0.070502030
2	Really dislike	1212	12.0%	0.120011882
3	Dislike somewhat	1826	18.1%	0.180809981
4	Neither like nor dislike	1349	13.4%	0.133577582
5	Like somewhat	2980	29.5%	0.295078721
6	Really like	1656	16.4%	0.163976631
7	Intensely like	281	2.8%	0.027824537
97	Not answered	83	0.8%	0.008218636

r29_pcldpr

Variable label:	Like or dislike party: 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
Post-question:	Click on your desired answer
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	1924	19.1%	0.19051391
2	Really dislike	1609	15.9%	0.15932271
3	Dislike somewhat	1505	14.9%	0.14902466
4	Neither like nor dislike	1425	14.1%	0.14110308
5	Like somewhat	2145	21.2%	0.21239727
6	Really like	1025	10.1%	0.10149520
7	Intensely like	365	3.6%	0.03614219
97	Not answered	101	1.0%	0.01000099

r29_pcecz

Variable label:	Assessment of: The financial situation in Norway in a year
Literal question:	What do you think about the financial situation in Norway in a year?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
5	Much better than today	71	0.7%	0.007030399
4	Better than today	2965	29.4%	0.293593425
3	Neither worse nor better than today	4683	46.4%	0.463709278
2	Worse than today	2112	20.9%	0.209129617
1	Much worse than today	206	2.0%	0.020398059
97	Not answered	62	0.6%	0.006139222

r29_dcd_ran

Variable label:	Experiment: Conditional randomization: 3/5 of the respondents get [r29_dvase], 1/5 gets [r29_ceinjo], and 1/5 gets [r29_dmptrx].
Literal question:	Experiment: Conditional randomization: 3/5 of the respondents get [r29_dvase], 1/5 gets [r29_ceinjo], and 1/5 gets [r29_dmptrx].
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Randomized for all respondents]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	[r29_dvase]	6214	61.5%	0.6153084
2	[r29_ceinjo]	1923	19.0%	0.1904149
3	[r29_dmptrx]	1962	19.4%	0.1942767

r29_dvase_1

Variable label:	Your experience with asylum seekers: Greeted some of the asylum seekers.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Greeted some of the asylum seekers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 1)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	2409	38.8%	0.38767300
2	No	2939	47.3%	0.47296427
3	Not relevant	780	12.6%	0.12552301
97	Not answered	86	1.4%	0.01383972
98	Not asked	3885		NA

r29_dvase_2

Variable label:	Your experience with asylum seekers: Had contact via the internet with asylum seekers
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Had contact via the internet with asylum seekers (for example Facebook or Finn).
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 1)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	688	11.1%	0.11071773
2	No	4392	70.7%	0.70679112
3	Not relevant	1015	16.3%	0.16334084
97	Not answered	119	1.9%	0.01915031
98	Not asked	3885		NA

r29_dvase_3

Variable label:	Your experience with asylum seekers: Become friends with some of the asylum seekers.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Become friends with some of the asylum seekers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 1)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	754	12.1%	0.12133891
2	No	4804	77.3%	0.77309302
3	Not relevant	548	8.8%	0.08818796
97	Not answered	108	1.7%	0.01738011
98	Not asked	3885		NA

r29_dvase_4

Variable label:	Your experience with asylum seekers: Become a member of a support group for asylum seekers
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Become a member of a support group for asylum seekers (for example on the internet).
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 1)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	187	3.0%	0.03009334
2	No	4745	76.4%	0.76359833
3	Not relevant	1158	18.6%	0.18635340
97	Not answered	124	2.0%	0.01995494
98	Not asked	3885		NA

r29_dvase_5

Variable label:	Your experience with asylum seekers: Expressed scepticism towards asylum seekers to others.
Pre-question text:	Norway has received many asylum seekers recently. People have had different experiences of this. What have your experiences been? I have:
Literal question:	Expressed scepticism towards asylum seekers to others.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 1)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	Yes	2316	37.3%	0.37270679
2	No	3175	51.1%	0.51094303
3	Not relevant	623	10.0%	0.10025748
97	Not answered	100	1.6%	0.01609269
98	Not asked	3885		NA

r29_dvaso

Variable label:	I have other experiences. Please write:
Pre-question text:	I have other experiences.
Literal question:	Please write:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 1)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_ceinjo

Variable label:	Injustice in relation to climate change: What do you think might be unfair?
Literal question:	There is sometimes talk of injustice in relation to climate change. What, if anything, do you think might be unjust?
Post-question:	Please write down the first thing you think of. All types of responses are welcome, preferably a couple of sentences, or just a few words if you prefer.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 2)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_dmptrx_ran1

Variable label:	Experiment: Decides random element for text piping in [r29_dmptrx].
Literal question:	Experiment: Decides random element for text piping in [r29_dmptrx].
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Randomized if (r29_dcd_ran = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1962] [Invalid:8137] [Range:1-2]

Value	Label	Cases	Percentage
1	, for example The Labour Party,	972	49.5%	0.4954128
2	, for example The Conservative Party,	990	50.5%	0.5045872
Sysmiss		8137		NA

r29_dmptrx_ran2

Variable label:	Experiment: Decides random element for text piping in [r29_dmptrx].
Literal question:	Experiment: Decides random element for text piping in [r29_dmptrx].
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Randomized if (r29_dcd_ran = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:1962] [Invalid:8137] [Range:1-3]

Value	Label	Cases	Percentage
1	male politician	658	33.5%	0.3353721
2	female politician	635	32.4%	0.3236493
3	politician	669	34.1%	0.3409786
Sysmiss		8137		NA

r29_dmptrx_1

Variable label:	Able to become a minister after: given fraudulent information about commuter expenses/commuter accommodation
Pre-question text:	We want to know what Norwegian citizens think about the political future of politicians who break ethical guidelines. How much do you agree or disagree that a [r29_dmptrx_ran1] allows a [r29_dmptrx_ran2] to become a minister after having …
Literal question:	… given fraudulent information about commuter expenses/commuter accommodation
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 3)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Completely agree	62	3.2%	0.03160041
2	Agree somewhat	75	3.8%	0.03822630
3	Neither agree nor disagree	140	7.1%	0.07135576
4	Slightly disagree	453	23.1%	0.23088685
5	Completely disagree	1212	61.8%	0.61773700
97	Not answered	20	1.0%	0.01019368
98	Not asked	8137		NA

r29_dmptrx_2

Variable label:	Able to become a minister after: given friends an advantage in awarding public office
Pre-question text:	We want to know what Norwegian citizens think about the political future of politicians who break ethical guidelines. How much do you agree or disagree that a [r29_dmptrx_ran1] allows a [r29_dmptrx_ran2] to become a minister after having …
Literal question:	… given friends an advantage in awarding public office
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 3)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Completely agree	60	3.1%	0.030581040
2	Agree somewhat	52	2.7%	0.026503568
3	Neither agree nor disagree	102	5.2%	0.051987768
4	Slightly disagree	418	21.3%	0.213047910
5	Completely disagree	1311	66.8%	0.668195719
97	Not answered	19	1.0%	0.009683996
98	Not asked	8137		NA

r29_dmptrx_3

Variable label:	Able to become a minister after: failed to assess their own impartiality when buying shares
Pre-question text:	We want to know what Norwegian citizens think about the political future of politicians who break ethical guidelines. How much do you agree or disagree that a [r29_dmptrx_ran1] allows a [r29_dmptrx_ran2] to become a minister after having …
Literal question:	… failed to assess their own impartiality when buying shares
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 3)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Completely agree	70	3.6%	0.035677880
2	Agree somewhat	76	3.9%	0.038735984
3	Neither agree nor disagree	165	8.4%	0.084097859
4	Slightly disagree	521	26.6%	0.265545362
5	Completely disagree	1116	56.9%	0.568807339
97	Not answered	14	0.7%	0.007135576
98	Not asked	8137		NA

r29_dmptrx_4

Variable label:	Able to become a minister after: exposed younger colleagues in politics to unwanted sexual harassment
Pre-question text:	We want to know what Norwegian citizens think about the political future of politicians who break ethical guidelines. How much do you agree or disagree that a [r29_dmptrx_ran1] allows a [r29_dmptrx_ran2] to become a minister after having …
Literal question:	… exposed younger colleagues in politics to unwanted sexual harassment
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 3)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Completely agree	56	2.9%	0.02854230
2	Agree somewhat	54	2.8%	0.02752294
3	Neither agree nor disagree	114	5.8%	0.05810398
4	Slightly disagree	234	11.9%	0.11926606
5	Completely disagree	1484	75.6%	0.75637105
97	Not answered	20	1.0%	0.01019368
98	Not asked	8137		NA

r29_dmptrx_5

Variable label:	Able to become a minister after: spread false rumors about a party colleague in the public
Pre-question text:	We want to know what Norwegian citizens think about the political future of politicians who break ethical guidelines. How much do you agree or disagree that a [r29_dmptrx_ran1] allows a [r29_dmptrx_ran2] to become a minister after having …
Literal question:	… spread false rumors about a party colleague in the public
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_dcd_ran = 3)] [Display order of questions in grid: Randomized]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Completely agree	52	2.7%	0.02650357
2	Agree somewhat	49	2.5%	0.02497452
3	Neither agree nor disagree	174	8.9%	0.08868502
4	Slightly disagree	432	22.0%	0.22018349
5	Completely disagree	1234	62.9%	0.62895005
97	Not answered	21	1.1%	0.01070336
98	Not asked	8137		NA

r29_pcsad

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?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very satisfied	1041	10.3%	0.103079513
2	Satisfied	4846	48.0%	0.479849490
3	Somewhat satisfied	2736	27.1%	0.270917913
4	Dissatisfied	1106	11.0%	0.109515794
5	Not satisfied at all	351	3.5%	0.034755916
97	Not answered	19	0.2%	0.001881374

r29_pcsag

Variable label:	How satisfied are you with the present government in Norway?
Literal question:	How satisfied are you with the present government in Norway?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Very satisfied	143	1.4%	0.01415982
2	Satisfied	1691	16.7%	0.16744232
3	Somewhat satisfied	3332	33.0%	0.32993366
4	Dissatisfied	3203	31.7%	0.31716011
5	Not satisfied at all	1534	15.2%	0.15189623
97	Not answered	196	1.9%	0.01940786

r29_pccoo

Variable label:	Most 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?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Cannot be careful enough	40	0.4%	0.003960788
1	1	81	0.8%	0.008020596
2	2	169	1.7%	0.016734330
3	3	380	3.8%	0.037627488
4	4	405	4.0%	0.040102980
5	5	810	8.0%	0.080205961
6	6	1055	10.4%	0.104465789
7	7	2554	25.3%	0.252896326
8	8	3187	31.6%	0.315575800
9	9	1067	10.6%	0.105654025
10	10 – Most people can be trusted	315	3.1%	0.031191207
97	Not answered	36	0.4%	0.003564709

r29_pcsaf

Variable label:	How much safer or more unsafe has your local environment become
Literal question:	Think about your local environment and how it has evolved over the past couple of years. How much safer or more unsafe has it become?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Much safer	80	0.8%	0.007921576
2	Somewhat safer	429	4.2%	0.042479453
3	No change in safety	7319	72.5%	0.724725220
4	Somewhat more unsafe	2036	20.2%	0.201604119
5	Much more unsafe	214	2.1%	0.021190217
97	Not answered	21	0.2%	0.002079414

r29_pceco

Variable label:	Assessment of: Your own financial situation today
Literal question:	How would you assess your own financial situation today?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	1058	10.5%	0.104762848
2	Good	4404	43.6%	0.436082780
3	Quite good	1956	19.4%	0.193682543
4	Neither good nor bad	1453	14.4%	0.143875631
5	Quite bad	803	8.0%	0.079512823
6	Bad	301	3.0%	0.029804931
7	Very bad	83	0.8%	0.008218636
97	Not answered	41	0.4%	0.004059808

r29_pcecy

Variable label:	Assessment of: Your own financial situation in a year
Literal question:	How would you assess your own financial situation in a year?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Much worse than today	75	0.7%	0.007426478
2	Worse than today	1296	12.8%	0.128329538
3	Neither worse nor better than today	6900	68.3%	0.683235964
4	Better than today	1701	16.8%	0.168432518
5	Much better than today	89	0.9%	0.008812754
97	Not answered	38	0.4%	0.003762749

r29_pc22j

Variable label:	How often do you read about, think or talk about something related to 22. july?
Literal question:	It’s now been more than ten years since the attacks of 22 July 2011. When it comes to you personally, how often would you say that you now think about, read or talk about something that is related to 22 July?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Daily	45	0.4%	0.004455887
2	Weekly	377	3.7%	0.037330429
3	A couple of times a month	1904	18.9%	0.188533518
4	Less often, but it happens	6672	66.1%	0.660659471
5	Never	1062	10.5%	0.105158927
97	Not answered	39	0.4%	0.003861768

r29_pccop

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?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	166	1.6%	0.016437271
2	A high degree	2990	29.6%	0.296068918
3	Some degree	4551	45.1%	0.450638677
4	A low degree	1825	18.1%	0.180710961
5	Not at all	517	5.1%	0.051193187
97	Not answered	50	0.5%	0.004950985

r29_pccos

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)?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	511	5.1%	0.05059907
2	A high degree	4089	40.5%	0.40489157
3	Some degree	3829	37.9%	0.37914645
4	A low degree	1186	11.7%	0.11743737
5	Not at all	376	3.7%	0.03723141
97	Not answered	108	1.1%	0.01069413

r29_pccom

Variable label:	What degree of confidence do you have in the Norwegian news media?
Literal question:	What degree of confidence do you have in the Norwegian news media?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	444	4.4%	0.043964749
2	A high degree	4063	40.2%	0.402317061
3	Some degree	4047	40.1%	0.400732746
4	A low degree	1140	11.3%	0.112882464
5	Not at all	324	3.2%	0.032082384
97	Not answered	81	0.8%	0.008020596

r29_pcecs

Variable label:	Perception of current economic situation
Literal question:	How do you perceive the current economic situation to be in Norway? Do you think it is:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	786	7.8%	0.07782949
2	Good	3590	35.5%	0.35548074
3	Quite good	2398	23.7%	0.23744925
4	Neither good nor bad	1137	11.3%	0.11258540
5	Quite bad	1575	15.6%	0.15595604
6	Bad	466	4.6%	0.04614318
7	Very bad	112	1.1%	0.01109021
97	Not answered	35	0.3%	0.00346569

r29_pcrew

Variable label:	Agree/Disagree: Large gaps in income are necessary in order to reward talent and effort
Literal question:	To what extent do you agree or disagree with the following statements: Large differences in people’s incomes are necessary in order to reward talent and effort.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	170	1.7%	0.01683335
2	Agree	863	8.5%	0.08545401
3	Agree somewhat	2652	26.3%	0.26260026
4	Neither agree nor disagree	955	9.5%	0.09456382
5	Disagree somewhat	2006	19.9%	0.19863353
6	Disagree	2107	20.9%	0.20863452
7	Strongly disagree	1313	13.0%	0.13001287
97	Not answered	33	0.3%	0.00326765

r29_pcgro

Variable label:	Agree/disagree: Economic growth should be secured through development of industry, despite conflict with environmental interests.
Literal question:	To what extent do you agree or disagree with the following assertion: Economic growth should be safeguarded through the development of industry, even if it comes into conflict with environmental interests.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	409	4.0%	0.040499059
2	Agree	1044	10.3%	0.103376572
3	Agree somewhat	2231	22.1%	0.220912962
4	Neither agree nor disagree	1040	10.3%	0.102980493
5	Disagree somewhat	2258	22.4%	0.223586494
6	Disagree	1928	19.1%	0.190909991
7	Strongly disagree	1125	11.1%	0.111397168
97	Not answered	64	0.6%	0.006337261

r29_pccen

Variable label:	In general, which of the statements to do agree the most with?
Literal question:	Generally speaking, which of the following statements do you agree with the most:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Answer list display order: Randomized]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	There should be larger and fewer public institutions, such as municipalities, hospitals, educational institutions and police districts.	3591	35.6%	0.35557976
2	There should be smaller and more public institutions, such as municipalities, hospitals, educational institutions and police districts.	6264	62.0%	0.62025943
97	Not answered	244	2.4%	0.02416081

r29_cered

Variable label:	Agree/Disagree: Citizens of rich countries should reduce their consumption
Literal question:	To what extent do you agree or disagree with the following statement: The inhabitants of rich countries such as Norway should reduce their consumption in order to help solve our climate challenges.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1925	19.1%	0.190612932
2	Agree	2756	27.3%	0.272898307
3	Agree somewhat	2837	28.1%	0.280918903
4	Neither agree nor disagree	1002	9.9%	0.099217744
5	Disagree somewhat	653	6.5%	0.064659867
6	Disagree	522	5.2%	0.051688286
7	Strongly disagree	353	3.5%	0.034953956
97	Not answered	51	0.5%	0.005050005

r29_pcpri

Variable label:	Agree/disagree: The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Literal question:	To what extent do you agree or disagree with the following proposition: The authorities should introduce more measures to protect citizens from potential terrorist threats, even though this may be at the expense of privacy.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	802	7.9%	0.079413803
2	Agree	2338	23.2%	0.231508070
3	Agree somewhat	3217	31.9%	0.318546391
4	Neither agree nor disagree	1281	12.7%	0.126844242
5	Disagree somewhat	1257	12.4%	0.124467769
6	Disagree	785	7.8%	0.077730468
7	Strongly disagree	337	3.3%	0.033369641
97	Not answered	82	0.8%	0.008119616

r29_pcoil

Variable label:	Development of the oil and gas industry in Norway. In 10 to 15 years, the industry should be…
Literal question:	There is frequent debate about how the oil and gas industry in Norway should be developed over the next 10 to 15 years. Which of the following options is closest to your view? In 10 to 15 years, the industry should be …
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	As large as possible	558	5.5%	0.055252995
2	Larger than today	598	5.9%	0.059213784
3	Just as large as today	3433	34.0%	0.339934647
4	Smaller than today	3695	36.6%	0.365877810
5	As small as possible	1730	17.1%	0.171304090
97	Not answered	85	0.8%	0.008416675

r29_cpres

Variable label:	Agree/disagree: Financial resources should be transferred from the rich parts of the country to parts that are not so rich, to ensure that everyone receives public services of the same quality.
Literal question:	To what extent do you agree or disgree with the following statement: Financial resources should be transferred from the rich parts of the country to parts that are not so rich, to ensure that everyone receives public services of the same quality.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1272	12.6%	0.125953065
2	Agree	3262	32.3%	0.323002277
3	Agree somewhat	3318	32.9%	0.328547381
4	Neither agree nor disagree	1104	10.9%	0.109317754
5	Disagree somewhat	669	6.6%	0.066244183
6	Disagree	296	2.9%	0.029309833
7	Strongly disagree	103	1.0%	0.010199030
97	Not answered	75	0.7%	0.007426478

r29_pcmsc

Variable label:	Agree/disagree: It should be possible for parents to send their children to Muslim schools.
Literal question:	Today, it is possible for parents to send their children to Christian schools that follow the national curriculum, but also teach the Christian faith. 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?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	227	2.2%	0.022477473
2	Agree	997	9.9%	0.098722646
3	Agree somewhat	1275	12.6%	0.126250124
4	Neither agree nor disagree	1742	17.2%	0.172492326
5	Disagree somewhat	1377	13.6%	0.136350134
6	Disagree	2002	19.8%	0.198237449
7	Strongly disagree	2393	23.7%	0.236954154
97	Not answered	86	0.9%	0.008515695

r29_pcmsc_txt

Variable label:	Open: Comments to [r29_pcmsc]. Showed on the same page as [r29_pcmsc].
Literal question:	If you have comments to the question, you can write them here.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open] [Format:numeric] [Valid:0] [Invalid:10099] [Range:-]

r29_pcwet

Variable label:	Agree/Disagree: The wealth tax should be abolished
Literal question:	To what extent do you agree or disagree with the following proposition: The wealth tax should be abolished.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1448	14.3%	0.143380533
2	Agree	1442	14.3%	0.142786414
3	Agree somewhat	1698	16.8%	0.168135459
4	Neither agree nor disagree	1424	14.1%	0.141004060
5	Disagree somewhat	1429	14.1%	0.141499158
6	Disagree	1722	17.1%	0.170511932
7	Strongly disagree	842	8.3%	0.083374592
97	Not answered	94	0.9%	0.009307852

r29_cewip_1

Variable label:	Agree/disagree: More onshore wind power should be developed in Norway.
Pre-question text:	To what extent do you agree or disagree with the following statements
Literal question:	More onshore wind power should be developed in Norway.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	708	7.0%	0.07010595
2	Agree	1415	14.0%	0.14011288
3	Agree somewhat	2185	21.6%	0.21635806
4	Neither agree nor disagree	1144	11.3%	0.11327854
5	Disagree somewhat	1324	13.1%	0.13110209
6	Disagree	1392	13.8%	0.13783543
7	Strongly disagree	1824	18.1%	0.18061194
97	Not answered	107	1.1%	0.01059511

r29_cewip_2

Variable label:	Agree/disagree: More offshore wind power should be developed in Norway.
Pre-question text:	To what extent do you agree or disagree with the following statements
Literal question:	More offshore wind power should be developed in Norway.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1323	13.1%	0.13100307
2	Agree	2645	26.2%	0.26190712
3	Agree somewhat	2438	24.1%	0.24141004
4	Neither agree nor disagree	1119	11.1%	0.11080305
5	Disagree somewhat	686	6.8%	0.06792752
6	Disagree	695	6.9%	0.06881869
7	Strongly disagree	1076	10.7%	0.10654520
97	Not answered	117	1.2%	0.01158531

r29_pcinc

Variable label:	Agree/disagree: The Government should work to reduce income inequality in society
Literal question:	To what extent do you agree or disagree with the following suggestion: The Government should work to reduce income inequality in society to greater extent.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	2384	23.6%	0.236062977
2	Agree	2818	27.9%	0.279037528
3	Agree somewhat	2417	23.9%	0.239330627
4	Neither agree nor disagree	1040	10.3%	0.102980493
5	Disagree somewhat	772	7.6%	0.076443212
6	Disagree	437	4.3%	0.043271611
7	Strongly disagree	145	1.4%	0.014357857
97	Not answered	86	0.9%	0.008515695

r29_pcimm

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?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	A very great advantage	370	3.7%	0.036637291
2	A great advantage	1811	17.9%	0.179324686
3	A slight advantage	4275	42.3%	0.423309239
4	Neither an advantage nor a disadvantage	1313	13.0%	0.130012873
5	A slight disadvantage	1506	14.9%	0.149123676
6	A great disadvantage	490	4.9%	0.048519655
7	A very great disadvantage	250	2.5%	0.024754926
97	Not answered	84	0.8%	0.008317655

r29_pcldi

Variable label:	Like/dislike: immigrants in Norway
Literal question:	In general, how much do you like or dislike immigrants in Norway?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Intensely dislike	108	1.1%	0.01069413
2	Really dislike	240	2.4%	0.02376473
3	Dislike somewhat	916	9.1%	0.09070205
4	Neither dislike nor like	3343	33.1%	0.33102287
5	Like somewhat	2798	27.7%	0.27705713
6	Really like	2187	21.7%	0.21655609
7	Intensely like	383	3.8%	0.03792455
97	Not answered	124	1.2%	0.01227844

r29_pcref

Variable label:	Your opinion on refugees who come to Norway and seek asylum.
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:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Much easier	145	1.4%	0.014357857
2	Easier	698	6.9%	0.069115754
3	Somewhat easier	1439	14.2%	0.142489355
4	Same as today	4151	41.1%	0.411030795
5	Slightly more difficult	1967	19.5%	0.194771760
6	More difficult	917	9.1%	0.090801069
7	Much more difficult	688	6.8%	0.068125557
97	Not answered	94	0.9%	0.009307852

r29_pcint

Variable label:	As you see it, how good or poor are the preconditions in Norwegian society for integrating refugees?
Literal question:	As you see it, how good or poor are the preconditions in Norwegian society for integrating refugees?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very good	430	4.3%	0.04257847
2	Good	2599	25.7%	0.25735221
3	Somewhat good	2385	23.6%	0.23616200
4	Neither good nor bad	1191	11.8%	0.11793247
5	Somewhat poor	2003	19.8%	0.19833647
6	Poor	1034	10.2%	0.10238637
7	Very poor	343	3.4%	0.03396376
97	Not answered	114	1.1%	0.01128825

r29_pceum

Variable label:	How positive or negative are you towards Norwegian EU membership?
Literal question:	How positive or negative are you towards Norwegian EU membership?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Very positive	1139	11.3%	0.112783444
2	Positive	1669	16.5%	0.165263888
3	Somewhat positive	1474	14.6%	0.145955045
4	Neither positive nor negative	1138	11.3%	0.112684424
5	Somewhat negative	1447	14.3%	0.143281513
6	Negative	1589	15.7%	0.157342311
7	Very negative	1567	15.5%	0.155163878
97	Not answered	76	0.8%	0.007525498

r29_pceea

Variable label:	How great advantage or disadvantage is the EEA Agreement for Norway?
Literal question:	How great advantage or disadvantage is the EEA Agreement for Norway?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	A very great advantage	1300	12.9%	0.12872562
2	A great advantage	2534	25.1%	0.25091593
3	A slight advantage	2977	29.5%	0.29478166
4	Neither an advantage nor a disadvantage	1031	10.2%	0.10208932
5	A slight disadvantage	1215	12.0%	0.12030894
6	A great disadvantage	558	5.5%	0.05525300
7	A very great disadvantage	335	3.3%	0.03317160
97	Not answered	149	1.5%	0.01475394

r29_innae

Variable label:	How do you rate the increased military presence of NATO in Eastern Europe?
Literal question:	NATO has recently increased its military forces and military equipment in Eastern Europe considerably. How do you rate the increased military presence in Eastern Europe?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	Very positively	2898	28.7%	0.286959105
2	Somewhat positively	3471	34.4%	0.343697396
3	Neither positively, nor negatively	1276	12.6%	0.126349143
4	Somewhat negatively	1126	11.1%	0.111496188
5	Very negatively	626	6.2%	0.061986335
6	Don't know	604	6.0%	0.059807902
97	Not answered	98	1.0%	0.009703931

r29_pcnat

Variable label:	Norways membership status in NATO
Literal question:	Which of the following alternatives is closest to your point of view:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Norway should continue to be a member of NATO.	9656	95.6%	0.95613427
2	Norway should opt out of NATO.	332	3.3%	0.03287454
97	Not answered	111	1.1%	0.01099119

r29_bginc_v2

Variable label:	Current gross annual income?
Literal question:	What is your current income? Gross annual income is:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-10]

Value	Label	Cases	Percentage
1	Less than 300 000 NOK	828	8.2%	0.08198832
2	300 001 - 400 000 NOK	1474	14.6%	0.14595505
3	400 001 - 500 000 NOK	1561	15.5%	0.15456976
4	500 001 - 600 000 NOK	1367	13.5%	0.13535994
5	600 001 - 700 000 NOK	1286	12.7%	0.12733934
6	700 001 - 800 000 NOK	1034	10.2%	0.10238637
7	800 001 - 900 000 NOK	676	6.7%	0.06693732
8	900 001 - 1 000 000 NOK	543	5.4%	0.05376770
9	1 000 001 - 1 300 000 NOK	647	6.4%	0.06406575
10	More than 1 300 000 NOK	476	4.7%	0.04713338
97	Not answered	207	2.0%	0.02049708

r29_bghea

Variable label:	In general, how would you say your health is?
Literal question:	In general, how would you say your health is?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Excellent	1058	10.5%	0.104762848
2	Very good	2957	29.3%	0.292801267
3	Good	3947	39.1%	0.390830775
4	Somewhat good	1628	16.1%	0.161204080
5	Poor	414	4.1%	0.040994158
97	Not answered	95	0.9%	0.009406872

r29_bgciv_7_other

Variable label:	Other: Marital status
Pre-question text:	What is your marital status? Select the most appropriate
Literal question:	Other:
Post-question:	Select the most appropriate
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_pcpar_14_other

Variable label:	Would vote for which party if there were a parliamentary election tomorrow: Other
Pre-question text:	Which party would you vote for if there were a parliamentary election tomorrow?
Literal question:	Other:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Answer list display order: Randomized] [The order for the alternatives ‘Would not vote’, ‘Would cast a blank vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_bgedu_12_other

Variable label:	Open: Highest completed education: None of the above
Pre-question text:	What is the highest level of completed education?
Literal question:	None of the above
Post-question:	If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if respondent has not answered (r25_bgedu), (r26_bgedu) or (r27_bgedu)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_bgday_12_other

Variable label:	Open: Which of the following descriptions best applies to what you have been doing for the last seven days: Other
Pre-question text:	Which of the following descriptions best applies to what you have been doing for the last seven days?
Literal question:	Other:
Post-question:	Select one alternative.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if respondent has not answered one or both of (r27_bgsct/r27_bgscp) and (r27_bgind)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_bgsct_6_other

Variable label:	Open: Which type of business do you work in: Other
Pre-question text:	Which type of business do you work in?
Literal question:	Other:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_bgscp_mask

Variable label:	Experiment: Decides text piping for [r29_bgscp].
Literal question:	Experiment: Decides text piping for [r29_bgscp].
Field period:	15.01.2024 - 05.02.2024
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:941] [Invalid:9158] [Range:1-5]

Value	Label	Cases	Percentage
1	a student	50	5.3%	0.053134963
2	unemployed	31	3.3%	0.032943677
3	permanently ill or disabled	118	12.5%	0.125398512
4	retired	740	78.6%	0.786397450
5	a stay-at-home parent or caregiver	2	0.2%	0.002125399
Sysmiss		9158		NA

r29_bgscp_6_other

Variable label:	Open: What type of business did you work for before you became [r29_bgscp_mask]: Other
Pre-question text:	What type of business did you work for before you became [r29_bgscp_mask]?
Literal question:	Other:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 5,6,7,8,9,11)] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_bgind_21_other

Variable label:	Open: What industry [do/did] you (your company) work in: Other
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Other
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_hewor

Variable label:	Do you work or have you previously worked as a healthcare professional?
Literal question:	Do you work or have you previously worked as a healthcare professional?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Yes, as:	1881	18.6%	0.18625606
2	No	8114	80.3%	0.80344589
97	Not answered	104	1.0%	0.01029805

r29_hewor_1_other

Variable label:	Open: Do you work or have you previously worked as a healthcare professional: Other
Pre-question text:	Do you work or have you previously worked as a healthcare professional?
Literal question:	Other:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Single - Other] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29_bgurb

Variable label:	Which description best fits the area you live in?
Literal question:	Which description best fits the area you live in?
Post-question:	We are thinking about Norwegian conditions here.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if respondent has not answered (r26k2_bgurb) or (r27_bgurb)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A city	439	24.8%	0.24830317
2	A suburb or the outskirts of a city	310	17.5%	0.17533937
3	A small or medium sized town	475	26.9%	0.26866516
4	A village	308	17.4%	0.17420814
5	A sparsely inhabited area	201	11.4%	0.11368778
97	Not answered	35	2.0%	0.01979638
98	Not asked	8331		NA

r29_bglrs

Variable label:	Personal placement on political left and right wing scale
Pre-question text:	In politics people often talk about the “left wing” and the “right wing.” Below is a scale where 0 represents those who are on the far left politically, while 10 represents those who are on the far right.
Literal question:	Where would you place yourself on such a scale?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if respondent has not answered (r25_bglrs), (r26k2_bglrs) or (r28_bglrs)]
Technical attributes:	[Question type:Numeric] [Format:numeric] [Valid:647] [Invalid:9452] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Left wing	17	2.6%	0.02627512
1	1	51	7.9%	0.07882535
2	2	66	10.2%	0.10200927
3	3	78	12.1%	0.12055641
4	4	44	6.8%	0.06800618
5	5	109	16.8%	0.16846986
6	6	76	11.7%	0.11746522
7	7	96	14.8%	0.14837713
8	8	69	10.7%	0.10664606
9	9	25	3.9%	0.03863988
10	10 - Right wing	16	2.5%	0.02472952
Sysmiss		9452		NA

r29_bgcla

Variable label:	Social class, personal placement.
Pre-question text:	We sometimes talk about whether or not there are different social groups or classes.
Literal question:	If you were to place yourself in such a social class, which one would it be?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Lower class	123	1.2%	0.01217942
2	Working class	1419	14.1%	0.14050896
3	Lower middle class	1125	11.1%	0.11139717
4	Middle class	5564	55.1%	0.55094564
5	Upper middle class	1426	14.1%	0.14120210
6	Upper class	35	0.3%	0.00346569
7	Don't know	297	2.9%	0.02940885
97	Not answered	110	1.1%	0.01089217

r29_avslutt

Variable label:	Closing comments:
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes:	[Question type:Open] [Format:character] [Valid:0] [Invalid:10099] [Range:-]

r29P_moved

Variable label:	Change in home municipality
Literal question:	Respondents were asked what county and municipality they live in. Respondents who moved abroad are assigned the value 1, and exposed to a follow-up question on what their registered address in Norway is. Respondents who moved to Svalbard/Jan Mayen are assigned the value 1, and exposed to a follow-up question on what their mainland address is.
Technical description:	[Asked if respondent has not answered (r27_bgmov) or has a registered address in Ålesund, due to the municipality changes of 2024]
Technical attributes:	[Question type: -] [Format:numeric] [Valid:1829] [Invalid:8270] [Range:0-1]

Value	Label	Cases	Percentage
1	The respondent has changed home municipality	196	10.7%	0.1071624
0	The respondent has not changed home municipality	1633	89.3%	0.8928376
Sysmiss		8270		NA

r29P1

Variable label:	Gender
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-2]

Value	Label	Cases	Percentage
1	Male	5248	52.0%	0.5196554
2	Female	4851	48.0%	0.4803446

r29P2

Variable label:	Region
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	Oslo	1549	15.3%	0.15338152
2	Østlandet	3691	36.5%	0.36548173
3	Sørlandet	491	4.9%	0.04861868
4	Vestlandet	2792	27.6%	0.27646302
5	Trøndelag	815	8.1%	0.08070106
6	Nord-Norge	761	7.5%	0.07535400

r29P3

Variable label:	County
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:3-56]

Value	Label	Cases	Percentage
3	Oslo	1549	15.3%	0.153381523
11	Rogaland	978	9.7%	0.096841271
15	Møre og Romsdal	390	3.9%	0.038617685
18	Nordland	381	3.8%	0.037726508
31	Østfold	473	4.7%	0.046836320
32	Akershus	1403	13.9%	0.138924646
33	Buskerud	447	4.4%	0.044261808
34	Innlandet	560	5.5%	0.055451035
39	Vestfold	529	5.2%	0.052381424
40	Telemark	279	2.8%	0.027626498
42	Agder	491	4.9%	0.048618675
46	Vestland	1424	14.1%	0.141004060
50	Trøndelag	815	8.1%	0.080701060
55	Troms	294	2.9%	0.029111793
56	Finnmark	86	0.9%	0.008515695

r29P3_2

Variable label:	Constituencies parliament election 2021
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-19]

Value	Label	Cases	Percentage
3	Østfold	473	4.7%	0.046836320
1	Akershus	1389	13.8%	0.137538370
2	Oslo	1549	15.3%	0.153381523
5	Hedmark	292	2.9%	0.028913754
6	Oppland	268	2.7%	0.026537281
7	Buskerud	461	4.6%	0.045648084
4	Vestfold	529	5.2%	0.052381424
8	Telemark	279	2.8%	0.027626498
10	Aust-Agder	163	1.6%	0.016140212
9	Vest-Agder	328	3.2%	0.032478463
11	Rogaland	978	9.7%	0.096841271
12	Hordaland	1251	12.4%	0.123873651
13	Sogn og Fjordane	173	1.7%	0.017130409
14	Møre og Romsdal	390	3.9%	0.038617685
16	Sør-Trøndelag	655	6.5%	0.064857907
15	Nord-Trøndelag	160	1.6%	0.015843153
17	Nordland	381	3.8%	0.037726508
18	Troms	294	2.9%	0.029111793
19	Finnmark	86	0.9%	0.008515695

r29P4_1

Variable label:	Highest completed education
Technical attributes:	[Question type: -] [Format:integer] [Valid:10099] [Invalid:0] [Range:-]

Value	Label	Cases	Percentage
1	No education/elementary school	427	4.2%	0.042281414
2	Upper secondary education	2955	29.3%	0.292603228
3	University/University college	6679	66.1%	0.661352609
97	Not answered	38	0.4%	0.003762749

r29P4_2

Variable label:	Highest completed education
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-12]

Value	Label	Cases	Percentage
1	No completed education	22	0.2%	0.0021784335
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)	405	4.0%	0.0401029805
3	Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School)	864	8.6%	0.0855530251
4	Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam )	1172	11.6%	0.1160510942
5	Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college)	919	9.1%	0.0909991088
6	University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years)	882	8.7%	0.0873353797
7	College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.)	2112	20.9%	0.2091296168
8	University-3-4 year education (Bachelor, cand.mag.)	698	6.9%	0.0691157540
9	College-5-6 year education (Master, major)	786	7.8%	0.0778294881
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	1883	18.6%	0.1864541044
11	Researcher level (Doctorate, Ph.d.)	318	3.1%	0.0314882662
12	None of the above (please enter):	32	0.3%	0.0031686306
97	Not answered	6	0.1%	0.0005941182

r29P5_1

Variable label:	Year of birth (expanded, from 1939)
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	1939 or earlier	180	1.8%	0.01782355
2	1940-1949	1590	15.7%	0.15744133
3	1950-1959	2711	26.8%	0.26844242
4	1960-1969	2384	23.6%	0.23606298
5	1970-1979	1541	15.3%	0.15258937
6	1980-1989	1000	9.9%	0.09901970
7	1990 or later	693	6.9%	0.06862066

r29P5_2

Variable label:	Year of birth (condensed)
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	1959 or earlier	4481	44.4%	0.44370730
2	1960-1989	4925	48.8%	0.48767205
3	1990 or later	693	6.9%	0.06862066

r29_Weight4

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.
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-5]

r29_Weight4_stratapop

Variable label:	Indicates the proportion size of strata in the population. Strata constructed with P1, P2, P4_1 (Note! recoded to two-level: 1) upper secondary and lower, and 2) University/University college), and age.
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10058] [Invalid:41] [Range:0-0]

r29_generic_stratapop

Variable label:	Indicates the proportion size of strata in the population. Strata constructed with P1, P2, and age.
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-0]

r29_bgciv

Variable label:	Marital status
Literal question:	What is your marital status?
Post-question:	Select the most appropriate.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Single	1197	11.9%	0.118526587
2	Non-domestic relationship	497	4.9%	0.049212793
3	Cohabitant	1480	14.7%	0.146549163
4	Married/legally registered partner	5807	57.5%	0.575007426
5	Divorced/separated/formerly legally registered partner	551	5.5%	0.054559857
6	Widow/widower	452	4.5%	0.044756907
7	Other:	22	0.2%	0.002178434
97	Not answered	93	0.9%	0.009208833

r29_pcpar

Variable label:	Would vote for which party if there were a parliamentary election tomorrow
Literal question:	Which party would you vote for if there were a parliamentary election tomorrow?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [Answer list display order: Randomized] [The order for the alternatives ‘Would not vote’, ‘Would cast a blank vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-14]

Value	Label	Cases	Percentage
1	The Christian Democrats	317	3.1%	0.03138925
2	The Conservative Party	2387	23.6%	0.23636004
3	The Progress Party	781	7.7%	0.07733439
4	The Liberal Party	630	6.2%	0.06238241
5	The Socialist Left Party	1362	13.5%	0.13486484
6	The Centre Party	351	3.5%	0.03475592
7	The Green Party	495	4.9%	0.04901475
8	The Labour Party	1623	16.1%	0.16070898
9	The Red Party	580	5.7%	0.05743143
10	The Industry and Business Party	404	4.0%	0.04000396
11	Would not vote	215	2.1%	0.02128924
12	Would cast a blank vote	357	3.5%	0.03535003
13	Not entitled to vote	149	1.5%	0.01475394
14	Other:	326	3.2%	0.03228042
97	Not answered	122	1.2%	0.01208040

r29_bgedu

Variable label:	Highest completed education
Literal question:	What is the highest level of completed education?
Post-question:	If you have obtained multiple qualifications of the same level, select the one that is the most relevant to you.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if respondent has not answered (r25_bgedu), (r26_bgedu) or (r27_bgedu)] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-12]

Value	Label	Cases	Percentage
1	No completed education	3	0.1%	0.001497753
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)	84	4.2%	0.041937094
3	Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School)	160	8.0%	0.079880180
4	Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam )	245	12.2%	0.122316525
5	Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college)	173	8.6%	0.086370444
6	University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years)	162	8.1%	0.080878682
7	College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.)	433	21.6%	0.216175736
8	University-3-4 year education (Bachelor, cand.mag.)	126	6.3%	0.062905642
9	College-5-6 year education (Master, major)	150	7.5%	0.074887668
10	University 5-6 year education (Master, majors, or longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics))	357	17.8%	0.178232651
11	Researcher level (Doctorate, Ph.d.)	49	2.4%	0.024463305
12	None of the above (please enter):	6	0.3%	0.002995507
97	Not answered	55	2.7%	0.027458812
98	Not asked	8096		NA

r29_bgday

Variable label:	Which of the following descriptions best applies to what you have been doing for the last seven days?
Literal question:	Which of the following descriptions best applies to what you have been doing for the last seven days?
Post-question:	Select one alternative.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if respondent has not answered one or both of (r27_bgsct/r27_bgscp) and (r27_bgind)] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [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)	960	43.2%	0.431848853
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	78	3.5%	0.035087719
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	75	3.4%	0.033738192
4	Self-employed	86	3.9%	0.038686460
5	In education (not paid by an employer)	53	2.4%	0.023841655
6	Unemployed and actively seeking a job	24	1.1%	0.010796221
7	Unemployed and not actively seeking a job	6	0.3%	0.002699055
8	Permanently ill or disabled	126	5.7%	0.056680162
9	Retired	754	33.9%	0.339181287
10	In military service	0	0.0%	0.000000000
11	Working at home, minding children or providing care to other persons	3	0.1%	0.001349528
12	Other:	12	0.5%	0.005398111
97	Not answered	46	2.1%	0.020692758
98	Not asked	7876		NA

r29_bgsct

Variable label:	Which type of business do you work in?
Literal question:	Which type of business do you work in?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3)] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	State, county or municipal administration	177	16.0%	0.160326087
2	Other public sector (e.g. school and health services)	317	28.7%	0.287137681
3	Publicly owned enterprise	84	7.6%	0.076086957
4	Private business	505	45.7%	0.457427536
5	Self-employed	5	0.5%	0.004528986
6	Other:	16	1.4%	0.014492754
97	Not answered	0	0.0%	0.000000000
98	Not asked	8995		NA

r29_bgscp

Variable label:	What type of business did you work for before you became [r29_bgscp_mask]?
Literal question:	What type of business did you work for before you became [r29_bgscp_mask]?
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 5,6,7,8,9,11)] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	State, county or municipal administration	108	11.5%	0.115138593
2	Other public sector (e.g. school and health services)	267	28.5%	0.284648188
3	Publicly owned enterprise	87	9.3%	0.092750533
4	Private business	385	41.0%	0.410447761
5	Self-employed	63	6.7%	0.067164179
6	Other:	6	0.6%	0.006396588
7	Have not previously been working	20	2.1%	0.021321962
97	Not answered	2	0.2%	0.002132196
98	Not asked	9161		NA

r29_bgind_1

Variable label:	What industry [do/did] you (your company) work in: Public central administration
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Public central administration
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	182	8.7%	0.08658421
0	Not selected	1920	91.3%	0.91341579
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_2

Variable label:	What industry [do/did] you (your company) work in: Kindergarten/school/teaching
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Kindergarten/school/teaching
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	356	16.9%	0.1693625
0	Not selected	1746	83.1%	0.8306375
97	Not answered	0	0.0%	0.0000000
98	Not asked	7997		NA

r29_bgind_3

Variable label:	What industry [do/did] you (your company) work in: Health services
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Health services
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	268	12.7%	0.1274976
0	Not selected	1834	87.3%	0.8725024
97	Not answered	0	0.0%	0.0000000
98	Not asked	7997		NA

r29_bgind_4

Variable label:	What industry [do/did] you (your company) work in: Social services/child protection
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Social services/child protection
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	43	2.0%	0.02045671
0	Not selected	2059	98.0%	0.97954329
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_5

Variable label:	What industry [do/did] you (your company) work in: Nursing and care services
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Nursing and care services
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	110	5.2%	0.05233111
0	Not selected	1992	94.8%	0.94766889
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_6

Variable label:	What industry [do/did] you (your company) work in: Defence/police/judicial system/security
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Defence/police/judicial system/security
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	58	2.8%	0.02759277
0	Not selected	2044	97.2%	0.97240723
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_7

Variable label:	What industry [do/did] you (your company) work in: Agriculture/forestry/fishing
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Agriculture/forestry/fishing
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	61	2.9%	0.02901998
0	Not selected	2041	97.1%	0.97098002
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_8

Variable label:	What industry [do/did] you (your company) work in: Industry/technology
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Industry/technology
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	189	9.0%	0.08991437
0	Not selected	1913	91.0%	0.91008563
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_9

Variable label:	What industry [do/did] you (your company) work in: Building/construction
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Building/construction
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	153	7.3%	0.07278782
0	Not selected	1949	92.7%	0.92721218
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_10

Variable label:	What industry [do/did] you (your company) work in: Retailing/shop
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Retailing/shop
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	118	5.6%	0.05613701
0	Not selected	1984	94.4%	0.94386299
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_11

Variable label:	What industry [do/did] you (your company) work in: Transport/communications
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Transport/communications
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	132	6.3%	0.06279734
0	Not selected	1970	93.7%	0.93720266
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_12

Variable label:	What industry [do/did] you (your company) work in: Culture/sport/organisations
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Culture/sport/organisations
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	101	4.8%	0.04804948
0	Not selected	2001	95.2%	0.95195052
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_13

Variable label:	What industry [do/did] you (your company) work in: Media/advertising/PR/information
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Media/advertising/PR/information
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	66	3.1%	0.03139867
0	Not selected	2036	96.9%	0.96860133
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_14

Variable label:	What industry [do/did] you (your company) work in: Research/analysis
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Research/analysis
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	80	3.8%	0.03805899
0	Not selected	2022	96.2%	0.96194101
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_15

Variable label:	What industry [do/did] you (your company) work in: Travel/hotels
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Travel/hotels
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	32	1.5%	0.0152236
0	Not selected	2070	98.5%	0.9847764
97	Not answered	0	0.0%	0.0000000
98	Not asked	7997		NA

r29_bgind_16

Variable label:	What industry [do/did] you (your company) work in: Restaurants/catering
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Restaurants/catering
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	23	1.1%	0.01094196
0	Not selected	2079	98.9%	0.98905804
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_17

Variable label:	What industry [do/did] you (your company) work in: Telecommunications/IT
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Telecommunications/IT
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	103	4.9%	0.04900095
0	Not selected	1999	95.1%	0.95099905
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_18

Variable label:	What industry [do/did] you (your company) work in: Banking/insurance/finance
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Banking/insurance/finance
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	63	3.0%	0.02997146
0	Not selected	2039	97.0%	0.97002854
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_19

Variable label:	What industry [do/did] you (your company) work in: Commercial services
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Commercial services
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	107	5.1%	0.0509039
0	Not selected	1995	94.9%	0.9490961
97	Not answered	0	0.0%	0.0000000
98	Not asked	7997		NA

r29_bgind_20

Variable label:	What industry [do/did] you (your company) work in: Oil/gas
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Oil/gas
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	140	6.7%	0.06660324
0	Not selected	1962	93.3%	0.93339676
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_bgind_21

Variable label:	What industry [do/did] you (your company) work in: Other
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Other
Post-question:	It is possible to select up to three answers.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[Asked if (r29_bgday = 1,2,3,4 \| r29_bgscp = 1,2,3,4,5,6)] [Answer list display order: Randomize] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	143	6.8%	0.06803045
0	Not selected	1959	93.2%	0.93196955
97	Not answered	0	0.0%	0.00000000
98	Not asked	7997		NA

r29_pcmipo_1_coded1

Variable label:	Open: What are the most important political issues or areas for you personally? (1)
Pre-question text:	What are the most important political issues or areas for you personally?
Literal question:	1:
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.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:9626] [Invalid:473] [Range:1001-9797]

Value	Label	Cases	Percentage
1001	Health	2023	21.0%	0.2101599834
2002	Environment	1703	17.7%	0.1769166840
3003	Education	545	5.7%	0.0566174943
4004	Public infrastructure	188	2.0%	0.0195304384
5005	Immigration	238	2.5%	0.0247247039
6006	Economy (private and societal)	1250	13.0%	0.1298566383
7007	Labour	187	1.9%	0.0194265531
8008	Welfare	840	8.7%	0.0872636609
9009	Equality	79	0.8%	0.0082069395
1010	Culture	18	0.2%	0.0018699356
1111	Defence	272	2.8%	0.0282568045
1212	Justice	152	1.6%	0.0157905672
1313	Industry and trade	427	4.4%	0.0443590276
1414	Foreign affairs	495	5.1%	0.0514232288
1515	Regional / urban-rural	86	0.9%	0.0089341367
1616	International	224	2.3%	0.0232703096
1717	Senior citizen policies	101	1.0%	0.0104924164
1818	Family	308	3.2%	0.0319966757
1919	Tradition	18	0.2%	0.0018699356
2020	Democracy	81	0.8%	0.0084147102
2121	Ideology	6	0.1%	0.0006233119
2222	Freedom and responsibility)	62	0.6%	0.0064408893
2323	Public and private sector	49	0.5%	0.0050903802
2424	Ethics	97	1.0%	0.0100768751
3030	Other	152	1.6%	0.0157905672
9696	Incomplete answers / Do not know	19	0.2%	0.0019738209
9797	Unanswered	6	0.1%	0.0006233119
Sysmiss		473		NA

r29_pcmipo_2_coded1

Variable label:	Open: What are the most important political issues or areas for you personally? (2)
Pre-question text:	What are the most important political issues or areas for you personally?
Literal question:	2:
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.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:9552] [Invalid:547] [Range:1001-9797]

Value	Label	Cases	Percentage
1001	Health	1670	17.5%	0.1748324958
2002	Environment	1444	15.1%	0.1511725293
3003	Education	1073	11.2%	0.1123324958
4004	Public infrastructure	467	4.9%	0.0488902848
5005	Immigration	262	2.7%	0.0274288107
6006	Economy (private and societal)	1052	11.0%	0.1101340034
7007	Labour	218	2.3%	0.0228224456
8008	Welfare	755	7.9%	0.0790410385
9009	Equality	77	0.8%	0.0080611390
1010	Culture	48	0.5%	0.0050251256
1111	Defence	225	2.4%	0.0235552764
1212	Justice	229	2.4%	0.0239740369
1313	Industry and trade	438	4.6%	0.0458542714
1414	Foreign affairs	392	4.1%	0.0410385260
1515	Regional / urban-rural	123	1.3%	0.0128768844
1616	International	164	1.7%	0.0171691792
1717	Senior citizen policies	117	1.2%	0.0122487437
1818	Family	332	3.5%	0.0347571189
1919	Tradition	11	0.1%	0.0011515913
2020	Democracy	74	0.8%	0.0077470687
2121	Ideology	13	0.1%	0.0013609715
2222	Freedom and responsibility)	55	0.6%	0.0057579564
2323	Public and private sector	111	1.2%	0.0116206030
2424	Ethics	75	0.8%	0.0078517588
3030	Other	112	1.2%	0.0117252931
9696	Incomplete answers / Do not know	7	0.1%	0.0007328308
9797	Unanswered	8	0.1%	0.0008375209
Sysmiss		547		NA

r29_pcmipo_3_coded1

Variable label:	Open: What are the most important political issues or areas for you personally? (3)
Pre-question text:	What are the most important political issues or areas for you personally?
Literal question:	3:
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.
Field period:	15.01.2024 - 05.02.2024
Technical description:	[All respondents asked] [This question is asked as an open text answer, where the respondent can write in three boxes, one for each issue. Here, the issues are manually coded into higher-level categories, according to a coding scheme. Contact us if you want to know more.]
Technical attributes:	[Question type:Open Text List] [Format:numeric] [Valid:9351] [Invalid:748] [Range:1001-9797]

Value	Label	Cases	Percentage
1001	Health	1349	14.4%	0.144262646
2002	Environment	1251	13.4%	0.133782483
3003	Education	955	10.2%	0.102128115
4004	Public infrastructure	624	6.7%	0.066730831
5005	Immigration	409	4.4%	0.043738638
6006	Economy (private and societal)	914	9.8%	0.097743557
7007	Labour	231	2.5%	0.024703240
8008	Welfare	681	7.3%	0.072826436
9009	Equality	93	1.0%	0.009945460
1010	Culture	97	1.0%	0.010373222
1111	Defence	220	2.4%	0.023526896
1212	Justice	295	3.2%	0.031547428
1313	Industry and trade	493	5.3%	0.052721634
1414	Foreign affairs	355	3.8%	0.037963854
1515	Regional / urban-rural	149	1.6%	0.015934125
1616	International	202	2.2%	0.021601968
1717	Senior citizen policies	130	1.4%	0.013902256
1818	Family	274	2.9%	0.029301679
1919	Tradition	20	0.2%	0.002138809
2020	Democracy	128	1.4%	0.013688376
2121	Ideology	10	0.1%	0.001069404
2222	Freedom and responsibility)	45	0.5%	0.004812320
2323	Public and private sector	162	1.7%	0.017324350
2424	Ethics	69	0.7%	0.007378890
3030	Other	176	1.9%	0.018821516
9696	Incomplete answers / Do not know	7	0.1%	0.000748583
9797	Unanswered	12	0.1%	0.001283285
Sysmiss		748		NA

r29P5_3

Variable label:	Year of birth (expanded, from 1949)
Technical attributes:	[Question type: -] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	1949 or earlier	1770	17.5%	0.175264878
2	1950-1959	2711	26.8%	0.268442420
3	1960-1969	2384	23.6%	0.236062977
4	1970-1979	1541	15.3%	0.152589365
5	1980-1989	1000	9.9%	0.099019705
6	1990-1999	605	6.0%	0.059906921
7	2000 or later	88	0.9%	0.008713734

c16_bgbfi_1

Variable label:	I see myself as: Reserved
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	…is reserved
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_1, r16bfi10_1]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6482] [Invalid:3617] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1153	18.8%	0.188491090
2	Disagree a little	1491	24.4%	0.243746935
3	Neither agree nor disagree	998	16.3%	0.163151872
4	Agree a little	2049	33.5%	0.334968122
5	Agree strongly	384	6.3%	0.062775871
97	Not answered	42	0.7%	0.006866111
98	Not asked	365		NA
Sysmiss		3617		NA

c16_bgbfi_2

Variable label:	I see myself as: Generally trusting
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	…is generally trusting
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_2, r16bfi10_2]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6524] [Invalid:3575] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	136	2.2%	0.022081507
2	Disagree a little	508	8.2%	0.082480922
3	Neither agree nor disagree	713	11.6%	0.115765546
4	Agree a little	2998	48.7%	0.486767332
5	Agree strongly	1762	28.6%	0.286085403
97	Not answered	42	0.7%	0.006819289
98	Not asked	365		NA
Sysmiss		3575		NA

c16_bgbfi_3

Variable label:	I see myself as: Tends to be lazy
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	…tends to be lazy
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_3, r16bfi10_3]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6521] [Invalid:3578] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	2133	34.6%	0.346491228
2	Disagree a little	1696	27.6%	0.275503574
3	Neither agree nor disagree	1013	16.5%	0.164554906
4	Agree a little	1068	17.3%	0.173489279
5	Agree strongly	204	3.3%	0.033138402
97	Not answered	42	0.7%	0.006822612
98	Not asked	365		NA
Sysmiss		3578		NA

c16_bgbfi_4

Variable label:	I see myself as: Relaxed, handles stress well
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… is relaxed, handles stress well
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_4, r16bfi10_4]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6520] [Invalid:3579] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	252	4.1%	0.040942323
2	Disagree a little	1136	18.5%	0.184565394
3	Neither agree nor disagree	1003	16.3%	0.162956946
4	Agree a little	2511	40.8%	0.407961007
5	Agree strongly	1211	19.7%	0.196750609
97	Not answered	42	0.7%	0.006823721
98	Not asked	365		NA
Sysmiss		3579		NA

c16_bgbfi_5

Variable label:	I see myself as: Has few artistic interests
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… has few artistic interests
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_5, r16bfi10_5]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6522] [Invalid:3577] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1813	29.4%	0.294461588
2	Disagree a little	1949	31.7%	0.316550268
3	Neither agree nor disagree	975	15.8%	0.158356342
4	Agree a little	1054	17.1%	0.171187267
5	Agree strongly	324	5.3%	0.052623031
97	Not answered	42	0.7%	0.006821504
98	Not asked	365		NA
Sysmiss		3577		NA

c16_bgbfi_6

Variable label:	I see myself as: Outgoing, sociable
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… is outgoing, sociable
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_6, r16bfi10_6]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6535] [Invalid:3564] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	266	4.3%	0.043111831
2	Disagree a little	975	15.8%	0.158022690
3	Neither agree nor disagree	997	16.2%	0.161588331
4	Agree a little	2283	37.0%	0.370016207
5	Agree strongly	1607	26.0%	0.260453809
97	Not answered	42	0.7%	0.006807131
98	Not asked	365		NA
Sysmiss		3564		NA

c16_bgbfi_7

Variable label:	I see myself as: Tends to find fault with others
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… tends to find fault with others
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_7, r16bfi10_7]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6528] [Invalid:3571] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1050	17.0%	0.170371572
2	Disagree a little	1833	29.7%	0.297420088
3	Neither agree nor disagree	1784	28.9%	0.289469414
4	Agree a little	1307	21.2%	0.212072043
5	Agree strongly	147	2.4%	0.023852020
97	Not answered	42	0.7%	0.006814863
98	Not asked	365		NA
Sysmiss		3571		NA

c16_bgbfi_8

Variable label:	I see myself as: Does a thorough job
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… does a thorough job
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_8, r16bfi10_8]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6533] [Invalid:3566] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	95	1.5%	0.015402075
2	Disagree a little	121	2.0%	0.019617380
3	Neither agree nor disagree	536	8.7%	0.086900130
4	Agree a little	2552	41.4%	0.413748379
5	Agree strongly	2822	45.8%	0.457522698
97	Not answered	42	0.7%	0.006809339
98	Not asked	365		NA
Sysmiss		3566		NA

c16_bgbfi_9

Variable label:	I see myself as: Get nervous easily
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… get nervous easily
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_9, r16bfi10_9]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6527] [Invalid:3572] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	1901	30.9%	0.308503733
2	Disagree a little	1843	29.9%	0.299091204
3	Neither agree nor disagree	1082	17.6%	0.175592340
4	Agree a little	1059	17.2%	0.171859786
5	Agree strongly	235	3.8%	0.038136969
97	Not answered	42	0.7%	0.006815969
98	Not asked	365		NA
Sysmiss		3572		NA

c16_bgbfi_10

Variable label:	I see myself as: Has an active imagination
Pre-question text:	How well do the following statements describe your personality? I see myself as someone who…
Literal question:	… has an active imagination
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 15 and 16. [Source variables: r15bfi10_10, r16bfi10_10]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:6527] [Invalid:3572] [Range:1-5]

Value	Label	Cases	Percentage
1	Disagree strongly	398	6.5%	0.064589419
2	Disagree a little	847	13.7%	0.137455372
3	Neither agree nor disagree	1568	25.4%	0.254462837
4	Agree a little	2110	34.2%	0.342421292
5	Agree strongly	1197	19.4%	0.194255112
97	Not answered	42	0.7%	0.006815969
98	Not asked	365		NA
Sysmiss		3572		NA

c16_bgbfi_source

Variable label:	Source for c16_bgbfi
Technical attributes:	[Question type: -] [Format:character] [Valid:6569] [Invalid:3530] [Range:-]

c23_bgsdo_1

Variable label:	Degree of support/opposition: An ideal society requires some groups to be on top and others to be 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	An ideal society requires some groups to be on top and others to be on the bottom
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_1, r23sdo7_1]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8423] [Invalid:1676] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	2751	35.1%	0.350892857
2	2 – Somewhat oppose	1418	18.1%	0.180867347
3	3 – Slightly oppose	944	12.0%	0.120408163
4	4 - Neutral	1012	12.9%	0.129081633
5	5 – Slightly favor	945	12.1%	0.120535714
6	6 – Somewhat favor	599	7.6%	0.076403061
7	7 – Strongly favor	140	1.8%	0.017857143
97	Not answered	31	0.4%	0.003954082
98	Not asked	583		NA
Sysmiss		1676		NA

c23_bgsdo_2

Variable label:	Degree of support/opposition: 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	Some groups of people are simply inferior to other groups
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_2, r23sdo7_2]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8420] [Invalid:1679] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	4796	61.2%	0.611968866
2	2 – Somewhat oppose	869	11.1%	0.110884267
3	3 – Slightly oppose	434	5.5%	0.055378334
4	4 - Neutral	858	10.9%	0.109480669
5	5 – Slightly favor	509	6.5%	0.064948322
6	6 – Somewhat favor	259	3.3%	0.033048360
7	7 – Strongly favor	81	1.0%	0.010335588
97	Not answered	31	0.4%	0.003955595
98	Not asked	583		NA
Sysmiss		1679		NA

c23_bgsdo_3

Variable label:	Degree of support/opposition: 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	No one group should dominate in society.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_3, r23sdo7_3]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8427] [Invalid:1672] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	441	5.6%	0.056221316
2	2 – Somewhat oppose	370	4.7%	0.047169811
3	3 – Slightly oppose	420	5.4%	0.053544110
4	4 - Neutral	779	9.9%	0.099311576
5	5 – Slightly favor	745	9.5%	0.094977053
6	6 – Somewhat favor	1576	20.1%	0.200917899
7	7 – Strongly favor	3482	44.4%	0.443906170
97	Not answered	31	0.4%	0.003952065
98	Not asked	583		NA
Sysmiss		1672		NA

c23_bgsdo_4

Variable label:	Degree of support/opposition: 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	Groups at the bottom are just as deserving as groups at the top.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_4, r23sdo7_4]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8405] [Invalid:1694] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	334	4.3%	0.042700077
2	2 – Somewhat oppose	570	7.3%	0.072871388
3	3 – Slightly oppose	765	9.8%	0.097801074
4	4 - Neutral	1064	13.6%	0.136026592
5	5 – Slightly favor	887	11.3%	0.113398108
6	6 – Somewhat favor	1687	21.6%	0.215673741
7	7 – Strongly favor	2484	31.8%	0.317565840
97	Not answered	31	0.4%	0.003963181
98	Not asked	583		NA
Sysmiss		1694		NA

c23_bgsdo_5

Variable label:	Degree of support/opposition: 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	Equality between groups should not be our main goal.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_5, r23sdo7_5]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8410] [Invalid:1689] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	1633	20.9%	0.208636770
2	2 – Somewhat oppose	1639	20.9%	0.209403347
3	3 – Slightly oppose	896	11.4%	0.114475533
4	4 - Neutral	1333	17.0%	0.170307909
5	5 – Slightly favor	1074	13.7%	0.137217325
6	6 – Somewhat favor	793	10.1%	0.101315958
7	7 – Strongly favor	428	5.5%	0.054682509
97	Not answered	31	0.4%	0.003960649
98	Not asked	583		NA
Sysmiss		1689		NA

c23_bgsdo_6

Variable label:	Degree of support/opposition: 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	It is unjust to try to make groups equal.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_6, r23sdo7_6]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8388] [Invalid:1711] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	1866	23.9%	0.239077514
2	2 – Somewhat oppose	1418	18.2%	0.181678411
3	3 – Slightly oppose	862	11.0%	0.110442024
4	4 - Neutral	1664	21.3%	0.213196669
5	5 – Slightly favor	970	12.4%	0.124279308
6	6 – Somewhat favor	689	8.8%	0.088276746
7	7 – Strongly favor	305	3.9%	0.039077514
97	Not answered	31	0.4%	0.003971813
98	Not asked	583		NA
Sysmiss		1711		NA

c23_bgsdo_7

Variable label:	Degree of support/opposition: We should do what we can to 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	We should do what we can to equalize conditions for different groups.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_7, r23sdo7_7]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8415] [Invalid:1684] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	71	0.9%	0.009065373
2	2 – Somewhat oppose	214	2.7%	0.027323800
3	3 – Slightly oppose	397	5.1%	0.050689479
4	4 - Neutral	763	9.7%	0.097420838
5	5 – Slightly favor	1386	17.7%	0.176966292
6	6 – Somewhat favor	1888	24.1%	0.241062308
7	7 – Strongly favor	3082	39.4%	0.393513790
97	Not answered	31	0.4%	0.003958121
98	Not asked	583		NA
Sysmiss		1684		NA

c23_bgsdo_8

Variable label:	Degree of support/opposition: We should work to 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. You can look through the assertions quickly, your first assessment is usually the best.
Literal question:	We should work to give all groups an equal chance to succeed.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17 and 23. [Source variables: r17sdo7_8, r23sdo7_8]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:8432] [Invalid:1667] [Range:1-7]

Value	Label	Cases	Percentage
1	1 – Strongly oppose	41	0.5%	0.005223595
2	2 – Somewhat oppose	35	0.4%	0.004459167
3	3 – Slightly oppose	76	1.0%	0.009682762
4	4 - Neutral	321	4.1%	0.040896930
5	5 – Slightly favor	697	8.9%	0.088801121
6	6 – Somewhat favor	1558	19.8%	0.198496624
7	7 – Strongly favor	5090	64.8%	0.648490254
97	Not answered	31	0.4%	0.003949548
98	Not asked	583		NA
Sysmiss		1667		NA

c23_bgsdo_source

Variable label:	Source for c23_bgsdo
Technical attributes:	[Question type: -] [Format:character] [Valid:8451] [Invalid:1648] [Range:-]

c25_bgcit

Variable label:	Citizenship
Literal question:	Citizenship. Are you:
Technical description:	Combined variable. Each respondent has been asked this question once. The question has been asked during new recruitment. [Source variables: w01_k28, w03_r3k28, r4k28, r5k28, r8k28, r11bk28, r14bk28, r16bk28, r18bk28, r22bk28, r25_bgcit]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10086] [Invalid:13] [Range:1-2]

Value	Label	Cases	Percentage
1	Norwegian citizen	9473	94.7%	0.946826587
2	Citizen of a different country. Please indicate which country:	477	4.8%	0.047676162
97	Not answered	55	0.5%	0.005497251
98	Not asked	81		NA
Sysmiss		13		NA

c25_bgcit_source

Variable label:	Source for c25_bgcit
Technical attributes:	[Question type: -] [Format:character] [Valid:10086] [Invalid:13] [Range:-]

c25_bgimm

Variable label:	Have you or your parents (mother, father, or both parents) immigrated to Norway?
Literal question:	Have you or your parents (mother, father, or both parents) immigrated to Norway?
Technical description:	Combined variable. Each respondent has been asked this question once. The question has been asked during new recruitment. [Source variables: w01_k29, w03_r3k29, r4k29, r5k29, r11bk29, r14bk29, r16bk29, r18bk29, r22bk29, r25_bgimm]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10060] [Invalid:39] [Range:1-5]

Value	Label	Cases	Percentage
1	No	8961	90.9%	0.909100132
2	I myself have immigrated to Norway	537	5.4%	0.054479050
3	Both my parents have immigrated to Norway, but I was born in Norway	34	0.3%	0.003449325
4	My mother has immigrated to Norway, but myself and my father have not immigrated	161	1.6%	0.016333570
5	My father has immigrated to Norway, but myself and my mother have not immigrated	114	1.2%	0.011565385
97	Not answered	50	0.5%	0.005072537
98	Not asked	203		NA
Sysmiss		39		NA

c25_bgimm_source

Variable label:	Source for c25_bgimm
Technical attributes:	[Question type: -] [Format:character] [Valid:10060] [Invalid:39] [Range:-]

c25_bgrel

Variable label:	Belongs to a religion or a religious denomination
Literal question:	Do you belong to a religion or a religious denomination?
Technical description:	[Source variables: r25_bgrel]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:0] [Invalid:10099] [Range:-]

Value	Label	Cases
1	The Church of Norway	0	NaN
2	The Catholic Church	0	NaN
3	The Orthodox Church (Greek, Russian, others)	0	NaN
4	Other Protestant religious communities (e.g. free churches, Anglican churches, Pentecostal church and others)	0	NaN
5	Other Christian denominations (e.g. Jehovah's Witnesses, The Latter-day Saints and others)	0	NaN
6	Mosaic Religious Community (Jewish)	0	NaN
7	Islamic (Muslim)	0	NaN
8	Eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism)	0	NaN
9	Other religions	0	NaN
10	Do not belong to any religion or religious denominations	0	NaN
Sysmiss		10099	NA

c25_bgrel_recode

Variable label:	Belongs to a religion or a religious denomination [Recoded]
Literal question:	Do you belong to a religion or a religious denomination?
Technical description:	Combined variable. Each respondent has been asked this question at least once, some have been asked several times. Here you will find the respondent’s most recent value. The variable is aggregated, see “c25_bgrel” for original response options. [Source variables: r4k40_recode, r5k40_recode, r11bk40_recode, r14bk40_recode, r16bk40_recode, r18bk40_recode, r22bk40_recode, r25_bgrelrecode]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10039] [Invalid:60] [Range:1-6]

Value	Label	Cases	Percentage
1	The Church of Norway	6165	63.1%	0.630884159
2	The Catholic Church	105	1.1%	0.010744986
3	Other Christian faiths (Orthodox church, and other christian faiths, e.g. free churches, Anglican church, Pentecostalists, Jehovah's Witnesses, and Mormons)	340	3.5%	0.034793287
4	Other non-Christian religions (The Mosaic faith, eastern religions (e.g. Buddhism, Hinduism, Sikh, Shintoism, Taoism, Confucianism), and others)	66	0.7%	0.006753991
5	Islam	43	0.4%	0.004400327
6	Do not belong to any religion or religious denominations	2991	30.6%	0.306078592
97	Not answered	62	0.6%	0.006344658
98	Not asked	267		NA
Sysmiss		60		NA

c25_bgrel_recode_source

Variable label:	Source for c25_bgrel_recode
Technical attributes:	[Question type: -] [Format:character] [Valid:10039] [Invalid:60] [Range:-]

c25_bgrem

Variable label:	How often have you participated in religious meetings during the last 12 months?
Literal question:	Apart from special occasions such as weddings and funerals, how often have you participated in religious meetings during the last 12 months?
Technical description:	Combined variable. Each respondent has been asked this question at least once. The question was first asked this way in r16, most recently in r25. Here you will find the respondent’s most recent value. [Source variables: r16bk41, r18bk41, r22bk41, r25_bgrem]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9934] [Invalid:165] [Range:1-8]

Value	Label	Cases	Percentage
1	Every day	1	0.0%	0.0002065262
2	More than once a week	50	1.0%	0.0103263114
3	Once a week	82	1.7%	0.0169351508
4	Once or a few times a month	167	3.4%	0.0344898802
5	Several times a year	466	9.6%	0.0962412226
6	Once a year	645	13.3%	0.1332094176
7	Less than once a year	820	16.9%	0.1693515076
8	Never	2581	53.3%	0.5330441966
97	Not answered	30	0.6%	0.0061957869
98	Not asked	5092		NA
Sysmiss		165		NA

c25_bgrem_source

Variable label:	Source for c25_bgrem
Technical attributes:	[Question type: -] [Format:character] [Valid:9934] [Invalid:165] [Range:-]

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	[He/She] believes that [he/she] should always show respect for [him/her] parents and for older people. It’s important to [his/hers] to be obedient.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_1, r17bktivi_1, r21bktivi_1, r22bktivi_1, r25_bgtiv_1]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9895] [Invalid:204] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	675	7.4%	0.073577502
5	5 Resembles me	2056	22.4%	0.224111620
4	4 Somewhat resembles me	3464	37.8%	0.377588838
3	3 Slightly resembles me	1762	19.2%	0.192064530
2	2 Does not resemble me	848	9.2%	0.092435143
1	1 Does not resemble me at all	316	3.4%	0.034445171
97	Not answered	53	0.6%	0.005777196
98	Not asked	721		NA
Sysmiss		204		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	Religious faith is important to [him/her]. [He/She] endeavours to do what [him/her] religion requires.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_2, r17bktivi_2, r21bktivi_2, r22bktivi_2, r25_bgtiv_2]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9910] [Invalid:189] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	160	1.7%	0.017412123
5	5 Resembles me	336	3.7%	0.036565459
4	4 Somewhat resembles me	821	8.9%	0.089345957
3	3 Slightly resembles me	1212	13.2%	0.131896833
2	2 Does not resemble me	1824	19.8%	0.198498204
1	1 Does not resemble me at all	4783	52.1%	0.520513658
97	Not answered	53	0.6%	0.005767766
98	Not asked	721		NA
Sysmiss		189		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble 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.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_3, r17bktivi_3, r21bktivi_3, r22bktivi_3, r25_bgtiv_3]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9903] [Invalid:196] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	1543	16.8%	0.168046177
5	5 Resembles me	3470	37.8%	0.377913309
4	4 Somewhat resembles me	3447	37.5%	0.375408408
3	3 Slightly resembles me	552	6.0%	0.060117621
2	2 Does not resemble me	97	1.1%	0.010564147
1	1 Does not resemble me at all	20	0.2%	0.002178175
97	Not answered	53	0.6%	0.005772163
98	Not asked	721		NA
Sysmiss		196		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble 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.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_4, r17bktivi_4, r21bktivi_4, r22bktivi_4, r25_bgtiv_4]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9916] [Invalid:183] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	2345	25.5%	0.255029908
5	5 Resembles me	3426	37.3%	0.372593801
4	4 Somewhat resembles me	2517	27.4%	0.273735726
3	3 Slightly resembles me	555	6.0%	0.060358891
2	2 Does not resemble me	227	2.5%	0.024687330
1	1 Does not resemble me at all	72	0.8%	0.007830343
97	Not answered	53	0.6%	0.005764002
98	Not asked	721		NA
Sysmiss		183		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble 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.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_5, r17bktivi_5, r21bktivi_5, r22bktivi_5, r25_bgtiv_5]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9905] [Invalid:194] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	1894	20.6%	0.206228223
5	5 Resembles me	3218	35.0%	0.350391986
4	4 Somewhat resembles me	3091	33.7%	0.336563589
3	3 Slightly resembles me	734	8.0%	0.079921603
2	2 Does not resemble me	160	1.7%	0.017421603
1	1 Does not resemble me at all	34	0.4%	0.003702091
97	Not answered	53	0.6%	0.005770906
98	Not asked	721		NA
Sysmiss		194		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	[He/She] likes to take risks. [He/She]’s always looking for new experiences.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_6, r17bktivi_6, r21bktivi_6, r22bktivi_6, r25_bgtiv_6]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9907] [Invalid:192] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	163	1.8%	0.017744394
5	5 Resembles me	660	7.2%	0.071848465
4	4 Somewhat resembles me	2292	25.0%	0.249510124
3	3 Slightly resembles me	3110	33.9%	0.338558676
2	2 Does not resemble me	2010	21.9%	0.218811234
1	1 Does not resemble me at all	898	9.8%	0.097757457
97	Not answered	53	0.6%	0.005769649
98	Not asked	721		NA
Sysmiss		192		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	[He/She] seeks out any opportunity to have fun. It is important for [his/hers] to do things that give [his/hers] pleasure.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_7, r17bktivi_7, r21bktivi_7, r22bktivi_7, r25_bgtiv_7]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9908] [Invalid:191] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	272	3.0%	0.029607053
5	5 Resembles me	1093	11.9%	0.118972461
4	4 Somewhat resembles me	3422	37.2%	0.372482856
3	3 Slightly resembles me	2823	30.7%	0.307282029
2	2 Does not resemble me	1160	12.6%	0.126265375
1	1 Does not resemble me at all	364	4.0%	0.039621204
97	Not answered	53	0.6%	0.005769021
98	Not asked	721		NA
Sysmiss		191		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	It’s important to [him/her] to be successful. [He/She] likes to impress other people.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_8, r17bktivi_8, r21bktivi_8, r22bktivi_8, r25_bgtiv_8]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9909] [Invalid:190] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	140	1.5%	0.015237266
5	5 Resembles me	663	7.2%	0.072159338
4	4 Somewhat resembles me	2258	24.6%	0.245755333
3	3 Slightly resembles me	3103	33.8%	0.337723117
2	2 Does not resemble me	1973	21.5%	0.214736613
1	1 Does not resemble me at all	998	10.9%	0.108619939
97	Not answered	53	0.6%	0.005768394
98	Not asked	721		NA
Sysmiss		190		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble you.
Literal question:	It’s important for [him/her] to take the lead and tell others what to do. [He/She] wants people to do as he says.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_9, r17bktivi_9, r21bktivi_9, r22bktivi_9, r25_bgtiv_9]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9905] [Invalid:194] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	84	0.9%	0.009146341
5	5 Resembles me	609	6.6%	0.066310976
4	4 Somewhat resembles me	2450	26.7%	0.266768293
3	3 Slightly resembles me	2974	32.4%	0.323824042
2	2 Does not resemble me	1976	21.5%	0.215156794
1	1 Does not resemble me at all	1038	11.3%	0.113022648
97	Not answered	53	0.6%	0.005770906
98	Not asked	721		NA
Sysmiss		194		NA

c25_bgtiv_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. For each person described, check the form for how much this person resembles or does not resemble 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.
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 11, 17, 21, 22 and 25. [Source variables: r11bktivi_10, r17bktivi_10, r21bktivi_10, r22bktivi_10, r25_bgtiv_10]
Technical attributes:	[Question type:Grid] [Format:numeric] [Valid:9908] [Invalid:191] [Range:1-6]

Value	Label	Cases	Percentage
6	6 Very much resembles me	1271	13.8%	0.138347665
5	5 Resembles me	2558	27.8%	0.278436922
4	4 Somewhat resembles me	3309	36.0%	0.360182867
3	3 Slightly resembles me	1343	14.6%	0.146184826
2	2 Does not resemble me	514	5.6%	0.055948623
1	1 Does not resemble me at all	139	1.5%	0.015130075
97	Not answered	53	0.6%	0.005769021
98	Not asked	721		NA
Sysmiss		191		NA

c25_bgtiv_source

Variable label:	Source for c25_bgtiv
Technical attributes:	[Question type: -] [Format:character] [Valid:9935] [Invalid:164] [Range:-]

c25_bgupc

Variable label:	Respondents home county at 15 years of age
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in round 17, 18, 22 and 25. [Source variables: r17oppvekstfylke, r18oppvekstfylke, r22oppvekstfylke, r25_bgupc]
Technical attributes:	[Question type:Single] [Format:integer] [Valid:8085] [Invalid:2014] [Range:-]

Value	Label	Cases	Percentage
3	Oslo	844	10.4%	0.10439085
11	Rogaland	763	9.4%	0.09437229
15	Møre og Romsdal	461	5.7%	0.05701917
18	Nordland	494	6.1%	0.06110080
30	Viken	1604	19.8%	0.19839208
34	Innlandet	561	6.9%	0.06938776
38	Vestfold og Telemark	631	7.8%	0.07804576
42	Agder	411	5.1%	0.05083488
46	Vestland	1258	15.6%	0.15559678
50	Trøndelag	690	8.5%	0.08534323
54	Troms og Finnmark	368	4.6%	0.04551639
Sysmiss		2014		NA

c25_bgupc_source

Variable label:	Source for c25_bgupc
Technical attributes:	[Question type: -] [Format:character] [Valid:8085] [Invalid:2014] [Range:-]

c25_pcvot21

Variable label:	Which party did you vote for in the previous parliamentary elections in 2021
Literal question:	Which party did you vote for in the previous parliamentary elections in 2021
Technical description:	Combined variable. Each respondent has been asked this question once. The question is asked in r22 and r25, for the 2021 parliamentary election. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r22k3_kodet, r25_pcvot21]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9618] [Invalid:481] [Range:1-13]

Value	Label	Cases	Percentage
1	The Christian Democrats	320	3.5%	0.035064650
2	The Conservative Party	1776	19.5%	0.194608810
3	The Progress Party	635	7.0%	0.069581416
4	The Liberal Party	448	4.9%	0.049090511
5	The Socialist Left Party	920	10.1%	0.100810870
6	The Centre Party	973	10.7%	0.106618453
7	The Green Party	500	5.5%	0.054788516
8	The Labour Party	2111	23.1%	0.231317116
9	The Red Party	594	6.5%	0.065088757
10	Other:	242	2.7%	0.026517642
11	Did not vote	191	2.1%	0.020929213
12	Not entitled to vote	343	3.8%	0.037584922
13	Voted blank	38	0.4%	0.004163927
97	Not answered	35	0.4%	0.003835196
98	Not asked	492		NA
Sysmiss		481		NA

c25_pcvot21_source

Variable label:	Source for c25_pcvot21
Technical attributes:	[Question type: -] [Format:character] [Valid:9618] [Invalid:481] [Range:-]

c26_bgchi

Variable label:	Living with children under 16 years
Literal question:	Do you have any children under the age of 16 who live at home with you, most of or part of the time, and if so, how many?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r4, most recently in r26. Most respondents have values from the last two years, but it is possible to have values back to r4. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r4k42, r5k42, r8k42, r11bk42, r16bk42, r17bk42, r18bk42, r22bk42, r23bk42, r25_bgchi, r26k2_bgchi]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10067] [Invalid:32] [Range:0-6]

Value	Label	Cases	Percentage
0	None	8218	81.9%	0.8190969800
1	1	770	7.7%	0.0767467358
2	2	758	7.6%	0.0755506827
3	3	218	2.2%	0.0217282966
4	4	26	0.3%	0.0025914482
5	5	2	0.0%	0.0001993422
6	6 or more	5	0.0%	0.0004983554
97	Not answered	36	0.4%	0.0035881591
98	Not asked	34		NA
Sysmiss		32		NA

c26_bgchi_source

Variable label:	Source for c26_bgchi
Technical attributes:	[Question type: -] [Format:character] [Valid:10067] [Invalid:32] [Range:-]

c26_bginc

Variable label:	Gross annual income
Literal question:	What is your current income? Gross annual income is:
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r8, most recently in r26. Most respondents have values from the last year, but it is possible to have values back to r8. You can filter using the source-variabel if you only want respondents with the newer values. If you only want to use newest data, use r29_bginc_v2. If you want data on as many as possible, recode and combine c26_bginc with r29_bginc_v2 [Source variables: r8k25, r9k25, r11bk25, r14bk25, r16bk25, r18bk25, r20bk25, r22bk25, r23bk25, r25_bginc, r26k2_bginc]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10060] [Invalid:39] [Range:1-8]

Value	Label	Cases	Percentage
1	Less than 150 000	282	2.8%	0.028098844
2	150 001 - 300 000	1041	10.4%	0.103726584
3	300 001 - 400 000	1488	14.8%	0.148266242
4	400 001 - 500 000	1581	15.8%	0.157532882
5	500 001 - 600 000	1449	14.4%	0.144380231
6	600 001 - 700 000	1435	14.3%	0.142985253
7	700 001 - 1 000 000	1762	17.6%	0.175567955
8	More than 1 000000	934	9.3%	0.093064966
97	Not answered	64	0.6%	0.006377043
98	Not asked	24		NA
Sysmiss		39		NA

c26_bginc_source

Variable label:	Source for c26_bginc
Technical attributes:	[Question type: -] [Format:character] [Valid:10060] [Invalid:39] [Range:-]

c26_pcepe

Variable label:	How much would you say the political system in Norway allows people like you to have a say in what the government does?
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:	Combined variable. Each respondent has been asked this question at least once, some have been asked several times, first in r8, most recently in r26. Here you will find the respondent’s most recent value. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r8k13, r10kmini13, r14pk13, r17pk13, r20pk13, r23pk13, r26_pcepe]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9864] [Invalid:235] [Range:1-5]

Value	Label	Cases	Percentage
1	To a very great extent	88	0.9%	0.009343810
2	To a great extent	1113	11.8%	0.118177957
3	Somewhat	4169	44.3%	0.442662986
4	Slightly	3208	34.1%	0.340624336
5	Not at all	797	8.5%	0.084625186
97	Not answered	43	0.5%	0.004565725
98	Not asked	446		NA
Sysmiss		235		NA

c26_pcepe_source

Variable label:	Source for c26_pcepe
Technical attributes:	[Question type: -] [Format:character] [Valid:9864] [Invalid:235] [Range:-]

c26_pcipe

Variable label:	Agree/disagree: Sometimes politics is so complicated that people like me do not understand what it’s about.
Literal question:	To what extent do you agree or disagree with the following statement: Sometimes politics is so complicated that people like me do not understand what it’s about.
Technical description:	Combined variable. Each respondent has been asked this question at least once, some have been asked several times. The question was first asked in r1, most recently in r26. Here you will find the respondent’s most recent value. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: w01_k14_1, w03_r3k14_1, r8k14, r14pk14, r17pk14, r20pk14, r23pk14, r26_pcipe]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9910] [Invalid:189] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	365	3.8%	0.037941788
2	Agree	977	10.2%	0.101559252
3	Agree somewhat	2657	27.6%	0.276195426
4	Neither agree nor disagree	913	9.5%	0.094906445
5	Disagree somewhat	1256	13.1%	0.130561331
6	Disagree	2472	25.7%	0.256964657
7	Strongly disagree	959	10.0%	0.099688150
97	Not answered	21	0.2%	0.002182952
98	Not asked	290		NA
Sysmiss		189		NA

c26_pcipe_source

Variable label:	Source for c26_pcipe
Technical attributes:	[Question type: -] [Format:character] [Valid:9910] [Invalid:189] [Range:-]

c26_pcpin

Variable label:	How interested are you in politics?
Literal question:	In general, how interested are you in politics?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r1, most recently in r26. Most respondents have values from the last three years, but it is possible to have values back to r1. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: w01_k1, w03_r3k1, r5k1, r8k1, r9k1, r10k1, r11pk1, r14pk1, r20pk1, r22pk1, r25_pcpin, r26_pcpin]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10032] [Invalid:67] [Range:1-5]

Value	Label	Cases	Percentage
1	Very interested	1614	16.4%	0.163708287
2	Interested	4787	48.6%	0.485546201
3	Somewhat interested	2760	28.0%	0.279947256
4	Not very interested	607	6.2%	0.061568110
5	Not interested at all	79	0.8%	0.008012983
97	Not answered	12	0.1%	0.001217162
98	Not asked	173		NA
Sysmiss		67		NA

c26_pcpin_source

Variable label:	Source for c26_pcpin
Technical attributes:	[Question type: -] [Format:character] [Valid:10032] [Invalid:67] [Range:-]

c26_pcsal

Variable label:	How satisfied are you with life
Literal question:	All in all, how satisfied are you with life?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r11, most recently in r26. Most respondents have values from the last two years, but it is possible to have values back to r11. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r11pktilfreds1, r14pktilfreds1, r17pktilfreds1, r18pktilfreds1, ft1covid14, r20pktilfreds1, r22pktilfreds1, r23pktilfreds1, r26_pcsal]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9946] [Invalid:153] [Range:1-5]

Value	Label	Cases	Percentage
1	Very satisfied	2703	27.2%	0.2724523738
2	Satisfied	5738	57.8%	0.5783691160
3	Somewhat satisfied	1179	11.9%	0.1188388267
4	Dissatisfied	249	2.5%	0.0250982764
5	Not satisfied at all	48	0.5%	0.0048382220
97	Not answered	4	0.0%	0.0004031852
98	Not asked	25		NA
Sysmiss		153		NA

c26_pcsal_source

Variable label:	Source for c26_pcsal
Technical attributes:	[Question type: -] [Format:character] [Valid:9946] [Invalid:153] [Range:-]

c27_bgoil

Variable label:	[Do/did] you work in the oil or gas industry, or is your job closely associated with it?
Literal question:	[Do/did] you work in the oil or gas industry, or is your job closely associated with it?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r9, most recently in r27. Most respondents have values from the last year, but it is possible to have values back to r9. You can filter using the source-variabel if you only want respondents with the newer values. It can also be relevant to combine with c29_bgind_20. [Source variables: r9k24a, r12arbeidolje_1, r15arbeidolje1, r16arbeidolje1, r26_bgoil, r27_bgoil]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:9799] [Invalid:300] [Range:1-4]

Value	Label	Cases	Percentage
1	Yes, I [work/worked] in the oil or gas industry	363	4.3%	0.042902730
2	Yes, my job [is/was] closely associated with the oil or gas industry	322	3.8%	0.038056967
3	No, but previously I have worked in the oil/gas industry, or have been closely associated with it	243	2.9%	0.028720009
4	No	7512	88.8%	0.887838317
97	Not answered	21	0.2%	0.002481976
98	Not asked	1338		NA
Sysmiss		300		NA

c27_bgoil_source

Variable label:	Source for c27_bgoil
Technical attributes:	[Question type: -] [Format:character] [Valid:9799] [Invalid:300] [Range:-]

c27_bgoily

Variable label:	When did you start your first job in the oil or gas industry?
Literal question:	When did you start your first job in the oil or gas industry (or your first job closely associated with the oil and gas industry)? Enter the approximate year as best you can remember.
Technical description:	[Source variables: r26_bgoily, r27_bgoily]
Technical attributes:	[Question type:Open] [Format:numeric] [Valid:0] [Invalid:10099] [Range:-]

c27_bgoily_decade

Variable label:	Recoded version of [c27_bgoily].
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r12, most recently in r27. Most respondents have values from the last year, but it is possible to have values back to r12. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r12arbeidolje_2_1, r15_arbeidolje2, r16_arbeidolje2, r26_bgoily, r27_bgoily_decade]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:6809] [Invalid:3290] [Range:1-7]

Value	Label	Cases	Percentage
1	1960 - 1969	10	1.1%	0.011049724
2	1970 - 1979	149	16.5%	0.164640884
3	1980 - 1989	262	29.0%	0.289502762
4	1990 - 1999	191	21.1%	0.211049724
5	2000 - 2009	186	20.6%	0.205524862
6	2010 - 2019	93	10.3%	0.102762431
7	2020 or later	8	0.9%	0.008839779
97	Not answered	6	0.7%	0.006629834
98	Not asked	5904		NA
Sysmiss		3290		NA

c27_bgoily_decade_source

Variable label:	Source for c27_bgoily_decade
Technical attributes:	[Question type: -] [Format:character] [Valid:6809] [Invalid:3290] [Range:-]

c29_bgciv

Variable label:	Marital status
Literal question:	What is your marital status?
Post-question:	Select the most appropriate.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r29. Most respondents have values from the last two years, but it is possible to have values back to r14. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r14bk27_kodet, r16bk27_kodet, r18bk27, r22bk27_kodet, r23bk27_kodet, r25_bgciv, r26_bgciv, r27_bgciv, r29_bgciv]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Single	1214	12.0%	0.1202099218
2	Non-domestic relationship	508	5.0%	0.0503020101
3	Cohabitant	1495	14.8%	0.1480344589
4	Married/legally registered partner	5846	57.9%	0.5788691950
5	Divorced/separated/formerly legally registered partner	552	5.5%	0.0546588771
6	Widow/widower	453	4.5%	0.0448559263
7	Other:	22	0.2%	0.0021784335
97	Not answered	9	0.1%	0.0008911773

c29_bgciv_source

Variable label:	Source for c29_bgciv
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgcla

Variable label:	Social class, personal placement.
Pre-question text:	We sometimes talk about whether or not there are different social groups or classes.
Literal question:	If you were to place yourself in such a social class, which one would it be?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r10, most recently in r29. Most respondents have values from the last two years, but it is possible to have values back to r10. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r10pad13, r11pkklasse, r14pkklasse, r16pkklasse, r18pkklasse, r22pkklasse, r23pkklasse, r25_bgcla, r29_bgcla]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	Lower class	125	1.2%	0.012377463
2	Working class	1429	14.1%	0.141499158
3	Lower middle class	1133	11.2%	0.112189326
4	Middle class	5621	55.7%	0.556589761
5	Upper middle class	1440	14.3%	0.142588375
6	Upper class	36	0.4%	0.003564709
7	Don't know	303	3.0%	0.030002971
97	Not answered	12	0.1%	0.001188236

c29_bgcla_source

Variable label:	Source for c29_bgcla
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgday

Variable label:	Which of the following descriptions best applies to what you have been doing for the last seven days?
Literal question:	Which of the following descriptions best applies to what you have been doing for the last seven days?
Post-question:	Select one alternative.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r14. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r14bk33_kodet, r16bk33_kodet, r17bk33_kodet, r18bk33_kodet, r22bk33_kodet, r25_bgday, r26_bgday, r27_bgday, r29_bgday]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [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)	4404	43.6%	0.4360827805
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	302	3.0%	0.0299039509
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	308	3.0%	0.0304980691
4	Self-employed	412	4.1%	0.0407961184
5	In education (not paid by an employer)	180	1.8%	0.0178235469
6	Unemployed and actively seeking a job	67	0.7%	0.0066343202
7	Unemployed and not actively seeking a job	40	0.4%	0.0039607882
8	Permanently ill or disabled	614	6.1%	0.0607980988
9	Retired	3667	36.3%	0.3631052579
10	In military service	1	0.0%	0.0000990197
11	Working at home, minding children or providing care to other persons	45	0.4%	0.0044558867
12	Other:	53	0.5%	0.0052480444
97	Not answered	6	0.1%	0.0005941182
98	Not asked	0		NA

c29_bgday_source

Variable label:	Source for c29_bgday
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgedu

Variable label:	Highest completed education
Literal question:	What is the highest level of 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:	Combined variable, with the respondent’s most recent value. The question has been asked regularly since r11. Most respondents have values from the last year, but it is possible to have values back to r11. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field is coded into the answer categories where possible. [Source variables: r11bk26_kodet, r14bk26_kodet, r16bk26_kodet, r17bk26_kodet, r18bk26_kodet, r20bk26, r22bk26_kodet, r25_bgedu, r26k2_bgedu, r27_bgedu, r29_bgedu]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-12]

Value	Label	Cases	Percentage
1	No completed education	22	0.2%	0.0021784335
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)	405	4.0%	0.0401029805
3	Secondary education-general studies/programme for general studies, one-year supplementary study for university and college admission certification (VK2, VG3, High School)	864	8.6%	0.0855530251
4	Secondary education-vocational line of study/education programme (VK2, VK3, VG3, apprenticeship examination, apprentices’ final exam )	1171	11.6%	0.1159520745
5	Diploma from supplementary programme for general university and college admissions certification (tertiary vocational education, vocational technical college)	919	9.1%	0.0909991088
6	University/College, less than 3 years, but at least 2 years (university college graduate 2 and 2½ years)	881	8.7%	0.0872363600
7	College-3-4 year education (Bachelor-, cand.mag., teacher training college, school of nursing, preschool teacher, engineer, business graduate, etc.)	2112	20.9%	0.2091296168
8	University-3-4 year education (Bachelor, cand.mag.)	698	6.9%	0.0691157540
9	College-5-6 year education (Master, major)	786	7.8%	0.0778294881
10	University 5-6 year education (Master, majors, or longer professional education (e.g. MA in Theology., MA in Psychology., Doctor of Medicine, Doctor of Veterinary Medicine, chartered engineer, graduate in architecture, Master of Science in Business and Economics))	1883	18.6%	0.1864541044
11	Researcher level (Doctorate, Ph.d.)	318	3.1%	0.0314882662
12	None of the above (please enter):	31	0.3%	0.0030696109
97	Not answered	9	0.1%	0.0008911773
98	Not asked	0		NA

c29_bgedu_source

Variable label:	Source for c29_bgedu
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgedu3

Variable label:	Highest completed education
Literal question:	What is the highest level of 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:	Aggregated variable, based on c29_bgedu Combined variable, with the respondent’s most recent value. The question has been asked regularly since r11. Most respondents have values from the last year, but it is possible to have values back to r11. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field is coded into the answer categories where possible. [Source variables: r11bk26_kodet, r14bk26_kodet, r16bk26_kodet, r17bk26_kodet, r18bk26_kodet, r20bk26, r22bk26_kodet, r25_bgedu, r26k2_bgedu, r27_bgedu, r29_bgedu]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-3]

Value	Label	Cases	Percentage
1	No education/elementary school	427	4.2%	0.042281414
2	Upper secondary education	2954	29.3%	0.292504208
3	University/University college	6678	66.1%	0.661253589
97	Not answered	40	0.4%	0.003960788

c29_bgedu3_source

Variable label:	Source for c29_bgedu3
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bghea

Variable label:	In general, how would you say your health is?
Literal question:	In general, how would you say your health is?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r2, most recently in r29. Most respondents have values from the last two years, but it is possible to have values back to r2. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: w02_hp1, w03_r3hp1, r8hp1, r9hp1, r11bkhelse, r14bkhelse, r16bkhelse, r18bkhelse, r20bkhelse, r22bkhelse, r23bkhelse, r25_bghea, r26_bghea, r27_bghea, r29_bghea]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	Excellent	1069	10.6%	0.1058520646
2	Very good	2993	29.6%	0.2963659768
3	Good	3983	39.4%	0.3943954847
4	Somewhat good	1636	16.2%	0.1619962373
5	Poor	416	4.1%	0.0411921972
97	Not answered	2	0.0%	0.0001980394

c29_bghea_source

Variable label:	Source for c29_bghea
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgind_1

Variable label:	What industry [do/did] you (your company) work in: Public central administration
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Public central administration
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_1, r8k34_1, r9k34_1, r27_bgind_1, r29_bgind_1]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	842	8.6%	0.0864387640
0	Not selected	8897	91.3%	0.9133559183
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_2

Variable label:	What industry [do/did] you (your company) work in: Kindergarten/school/teaching
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Kindergarten/school/teaching
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_2, r8k34_2, r9k34_2, r27_bgind_2, r29_bgind_2]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	1632	16.8%	0.1675392670
0	Not selected	8107	83.2%	0.8322554153
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_3

Variable label:	What industry [do/did] you (your company) work in: Health services
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Health services
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_3, r8k34_3, r9k34_3, r27_bgind_3, r29_bgind_3]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	1209	12.4%	0.1241145673
0	Not selected	8530	87.6%	0.8756801150
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_4

Variable label:	What industry [do/did] you (your company) work in: Social services/child protection
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Social services/child protection
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_4, r8k34_4, r9k34_4, r27_bgind_4, r29_bgind_4]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	228	2.3%	0.0234062211
0	Not selected	9511	97.6%	0.9763884611
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_5

Variable label:	What industry [do/did] you (your company) work in: Nursing and care services
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Nursing and care services
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_5, r8k34_5, r9k34_5, r27_bgind_5, r29_bgind_5]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	468	4.8%	0.0480443486
0	Not selected	9271	95.2%	0.9517503336
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_6

Variable label:	What industry [do/did] you (your company) work in: Defence/police/judicial system/security
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Defence/police/judicial system/security
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_6, r8k34_6, r9k34_6, r27_bgind_6, r29_bgind_6]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	334	3.4%	0.0342880608
0	Not selected	9405	96.6%	0.9655066215
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_7

Variable label:	What industry [do/did] you (your company) work in: Agriculture/forestry/fishing
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Agriculture/forestry/fishing
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_7, r8k34_7, r9k34_7, r27_bgind_7, r29_bgind_7]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	281	2.9%	0.0288471410
0	Not selected	9458	97.1%	0.9709475413
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_8

Variable label:	What industry [do/did] you (your company) work in: Industry/technology
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Industry/technology
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_8, r8k34_8, r9k34_8, r27_bgind_8, r29_bgind_8]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	810	8.3%	0.0831536803
0	Not selected	8929	91.7%	0.9166410020
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_9

Variable label:	What industry [do/did] you (your company) work in: Building/construction
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Building/construction
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_9, r8k34_9, r9k34_9, r27_bgind_9, r29_bgind_9]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	693	7.1%	0.0711425932
0	Not selected	9046	92.9%	0.9286520891
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_10

Variable label:	What industry [do/did] you (your company) work in: Retailing/shop
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Retailing/shop
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_10, r8k34_10, r9k34_10, r27_bgind_10, r29_bgind_10]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	532	5.5%	0.0546145160
0	Not selected	9207	94.5%	0.9451801663
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_11

Variable label:	What industry [do/did] you (your company) work in: Transport/communications
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Transport/communications
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_11, r8k34_11, r9k34_11, r27_bgind_11, r29_bgind_11]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	535	5.5%	0.0549224926
0	Not selected	9204	94.5%	0.9448721897
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_12

Variable label:	What industry [do/did] you (your company) work in: Culture/sport/organisations
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Culture/sport/organisations
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_12, r8k34_12, r9k34_12, r27_bgind_12, r29_bgind_12]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	417	4.3%	0.0428087465
0	Not selected	9322	95.7%	0.9569859357
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_13

Variable label:	What industry [do/did] you (your company) work in: Media/advertising/PR/information
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Media/advertising/PR/information
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_13, r8k34_13, r9k34_13, r27_bgind_13, r29_bgind_13]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	301	3.1%	0.0309003182
0	Not selected	9438	96.9%	0.9688943640
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_14

Variable label:	What industry [do/did] you (your company) work in: Research/analysis
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Research/analysis
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_14, r8k34_14, r9k34_14, r27_bgind_14, r29_bgind_14]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	462	4.7%	0.0474283954
0	Not selected	9277	95.2%	0.9523662868
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_15

Variable label:	What industry [do/did] you (your company) work in: Travel/hotels
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Travel/hotels
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_15, r8k34_15, r9k34_15, r27_bgind_15, r29_bgind_15]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	147	1.5%	0.0150908531
0	Not selected	9592	98.5%	0.9847038292
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_16

Variable label:	What industry [do/did] you (your company) work in: Restaurants/catering
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Restaurants/catering
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_16, r8k34_16, r9k34_16, r27_bgind_16, r29_bgind_16]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	104	1.1%	0.0106765219
0	Not selected	9635	98.9%	0.9891181604
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_17

Variable label:	What industry [do/did] you (your company) work in: Telecommunications/IT
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Telecommunications/IT
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_17, r8k34_17, r9k34_17, r27_bgind_17, r29_bgind_17]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	549	5.6%	0.0563597167
0	Not selected	9190	94.3%	0.9434349656
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_18

Variable label:	What industry [do/did] you (your company) work in: Banking/insurance/finance
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Banking/insurance/finance
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_18, r8k34_18, r9k34_18, r27_bgind_18, r29_bgind_18]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	386	4.0%	0.0396263217
0	Not selected	9353	96.0%	0.9601683605
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_19

Variable label:	What industry [do/did] you (your company) work in: Commercial services
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Commercial services
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_19, r8k34_19, r9k34_19, r27_bgind_19, r29_bgind_19]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	551	5.7%	0.0565650344
0	Not selected	9188	94.3%	0.9432296479
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_20

Variable label:	What industry [do/did] you (your company) work in: Oil/gas
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Oil/gas
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_20, r8k34_20, r9k34_20, r27_bgind_20, r29_bgind_20]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	616	6.3%	0.0632378606
0	Not selected	9123	93.7%	0.9365568217
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_21

Variable label:	What industry [do/did] you (your company) work in: Other
Pre-question text:	What industry [do/did] you (your company) work in?
Literal question:	Other
Post-question:	It is possible to select up to three answers.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k34_21, r8k34_21, r9k34_21, r27_bgind_21, r29_bgind_21]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:10099] [Invalid:0] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	799	8.2%	0.0820244328
0	Not selected	8940	91.8%	0.9177702495
97	Not answered	2	0.0%	0.0002053177
98	Not asked	358		NA

c29_bgind_source

Variable label:	Source for c29_bgind
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bglrs

Variable label:	Personal placement on political left and right wing scale
Pre-question text:	In politics people often talk about the “left wing” and the “right wing.” Below is a scale where 0 represents those who are on the far left politically, while 10 represents those who are on the far right.
Literal question:	Where would you place yourself on such a scale?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r1, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r1. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: w01_k8_1, w02_k207_1, w03_r3k8_1, r4k8_1, r5k8_1, r8k8_1, r9k8_1, r10k8_1, r11pk8_1, r14pk8_1, r16pk8_1, r18pk8, r20pk8, r22pk8, r25_bglrs, r26k2_bglrs, r28_bglrs, r29_bglrs]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10096] [Invalid:3] [Range:0-10]

Value	Label	Cases	Percentage
0	0 - Left wing	228	2.3%	0.022583201
1	1	604	6.0%	0.059825674
2	2	1182	11.7%	0.117076070
3	3	1382	13.7%	0.136885895
4	4	1088	10.8%	0.107765452
5	5	1339	13.3%	0.132626783
6	6	1019	10.1%	0.100931062
7	7	1347	13.3%	0.133419176
8	8	1211	12.0%	0.119948494
9	9	479	4.7%	0.047444532
10	10 - Right wing	209	2.1%	0.020701268
97	Not answered	8	0.1%	0.000792393
Sysmiss		3		NA

c29_bglrs_source

Variable label:	Source for c29_bglrs
Technical attributes:	[Question type: -] [Format:character] [Valid:10096] [Invalid:3] [Range:-]

c29_bgscp

Variable label:	What type of business did you work for before you became [r29_bgscp_mask]?
Literal question:	What type of business did you work for before you became [r29_bgscp_mask]?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked like this in r27, most recently in r29. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r27_bgscp, r29_bgscp]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-7]

Value	Label	Cases	Percentage
1	State, county or municipal administration	510	11.4%	0.114349776
2	Other public sector (e.g. school and health services)	1416	31.7%	0.317488789
3	Publicly owned enterprise	355	8.0%	0.079596413
4	Private business	1718	38.5%	0.385201794
5	Self-employed	325	7.3%	0.072869955
6	Other:	31	0.7%	0.006950673
7	Have not previously been working	84	1.9%	0.018834081
97	Not answered	21	0.5%	0.004708520
98	Not asked	5639		NA

c29_bgscp_source

Variable label:	Source for c29_bgscp
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgsct

Variable label:	Which type of business do you work in?
Literal question:	Which type of business do you work in?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r18, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r18. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r18bk21_kodet, r22bk21_kodet, r23bk21_kodet, r25_bgwor, r26_bgsct, r27_bgsct, r29_bgsct]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-6]

Value	Label	Cases	Percentage
1	State, county or municipal administration	818	14.8%	0.1477334297
2	Other public sector (e.g. school and health services)	1604	29.0%	0.2896875564
3	Publicly owned enterprise	371	6.7%	0.0670037927
4	Private business	2643	47.7%	0.4773342966
5	Self-employed	58	1.0%	0.0104749865
6	Other:	42	0.8%	0.0075853350
97	Not answered	1	0.0%	0.0001806032
98	Not asked	4562		NA

c29_bgsct_source

Variable label:	Source for c29_bgsct
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_bgurb

Variable label:	Which description best fits the area you live in?
Literal question:	Which description best fits the area you live in?
Post-question:	We are thinking about Norwegian conditions here.
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked in r6, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r6. You can filter using the source-variabel if you only want respondents with the newer values. [Source variables: r6k35, r7k35, r11bk35, r14bk35, r16bk35, r18bk35, r20bk35, r22bk35, r23bk35, r25_bgurb, r26k2_bgurb, r27_bgurb, r29_bgurb]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-5]

Value	Label	Cases	Percentage
1	A city	2481	24.6%	0.2456678879
2	A suburb or the outskirts of a city	2053	20.3%	0.2032874542
3	A small or medium sized town	2861	28.3%	0.2832953758
4	A village	1580	15.6%	0.1564511338
5	A sparsely inhabited area	1122	11.1%	0.1111001089
97	Not answered	2	0.0%	0.0001980394
98	Not asked	0		NA

c29_bgurb_source

Variable label:	Source for c29_bgurb
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

c29_pcpar

Variable label:	Would vote for which party if there were a parliamentary election tomorrow
Literal question:	Which party would you vote for if there were a parliamentary election tomorrow?
Technical description:	Combined variable, with the respondent’s most recent value. The question was first asked this way in r14, most recently in r29. Most respondents have values from the last year, but it is possible to have values back to r14. You can filter using the source-variabel if you only want respondents with the newer values. Text from the “other”-field has been coded into the response categories where possible. [Source variables: r14pk204, r16pk204_kodet, r17pk204_kodet, r18pk204, r19pk204_kodet, r20pk204_kodet, r21pk204, r23pk204_kodet, r24_pcpar, r26k2_pcpar, r27_pcpar, r28_pcpar, r29_pcpar]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:10099] [Invalid:0] [Range:1-13]

Value	Label	Cases	Percentage
1	The Christian Democrats	321	3.2%	0.0317853253
2	The Conservative Party	2409	23.9%	0.2385384692
3	The Progress Party	790	7.8%	0.0782255669
4	The Liberal Party	633	6.3%	0.0626794732
5	The Socialist Left Party	1375	13.6%	0.1361520943
6	The Centre Party	356	3.5%	0.0352510150
7	The Green Party	502	5.0%	0.0497078919
8	The Labour Party	1641	16.2%	0.1624913358
9	The Red Party	590	5.8%	0.0584216259
10	Would not vote	220	2.2%	0.0217843351
11	Would cast a blank vote	365	3.6%	0.0361421923
12	Not entitled to vote	150	1.5%	0.0148529557
13	Other:	740	7.3%	0.0732745816
97	Not answered	7	0.1%	0.0006931379

c29_pcpar_source

Variable label:	Source for c29_pcpar
Technical attributes:	[Question type: -] [Format:character] [Valid:10099] [Invalid:0] [Range:-]

r27_bgoily_decade

Variable label:	Recoded version of [r27_bgoily].
Field period:	02.06.2023 - 22.06.2023
Technical description:	Recoded version of [r27_bgoily].
Technical attributes:	[Question type: -] [Format:numeric] [Valid:261] [Invalid:9838] [Range:1-7]

Value	Label	Cases	Percentage
1	1960 - 1969	6	2.3%	0.02298851
2	1970 - 1979	42	16.1%	0.16091954
3	1980 - 1989	71	27.2%	0.27203065
4	1990 - 1999	56	21.5%	0.21455939
5	2000 - 2009	53	20.3%	0.20306513
6	2010 - 2019	26	10.0%	0.09961686
7	2020 or later	7	2.7%	0.02681992
Sysmiss		9838		NA

r23pkmeme21

Variable label:	Agree/disagree: 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?
Field period:	12.01.2022 - 31.01.2022
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7923] [Invalid:2176] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	86	1.1%	0.010854474
2	Agree	238	3.0%	0.030039127
3	Somewhat agree	939	11.9%	0.118515714
4	Neither agree nor disagree	757	9.6%	0.095544617
5	Somewhat disagree	838	10.6%	0.105768017
6	Disagree	2254	28.4%	0.284488199
7	Strongly disagree	2771	35.0%	0.349741260
97	Not answered	40	0.5%	0.005048593
Sysmiss		2176		NA

r26_pcsex

Variable label:	Agree/disagree: It is women’s own responsibility to avoid unwanted sexual attention?
Literal question:	To what extent do you agree with the following assertion: It is women’s own responsibility to avoid unwanted sexual attention.
Field period:	16.02.2023 - 14.03.2023
Technical description:	[Asked if (r26_group = 1,2)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8854] [Invalid:1245] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	74	1.3%	0.01302358
2	Agree	141	2.5%	0.02481521
3	Agree somewhat	583	10.3%	0.10260472
4	Neither agree nor disagree	438	7.7%	0.07708553
5	Disagree somewhat	555	9.8%	0.09767687
6	Disagree	1614	28.4%	0.28405491
7	Strongly disagree	2254	39.7%	0.39669131
97	Not answered	23	0.4%	0.00404787
98	Not asked	3172		NA
Sysmiss		1245		NA

r27_pcsex

Variable label:	Agree/disagree: It is women’s own responsibility to avoid unwanted sexual attention?
Literal question:	To what extent do you agree with the following assertion: It is women’s own responsibility to avoid unwanted sexual attention.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[Asked if (r27_group = 3)]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:7960] [Invalid:2139] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	14	0.9%	0.008968610
2	Agree	44	2.8%	0.028187060
3	Agree somewhat	165	10.6%	0.105701473
4	Neither agree nor disagree	116	7.4%	0.074311339
5	Disagree somewhat	193	12.4%	0.123638693
6	Disagree	502	32.2%	0.321588725
7	Strongly disagree	524	33.6%	0.335682255
97	Not answered	3	0.2%	0.001921845
98	Not asked	6399		NA
Sysmiss		2139		NA

r27_bgcha_0

Variable label:	Number of children: I do not have any children
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	I do not have any children
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_1 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Multi] [Format:numeric] [Valid:7960] [Invalid:2139] [Range:0-1]

Value	Label	Cases	Percentage
1	Selected	1582	19.9%	0.198743719
0	Not selected	6311	79.3%	0.792839196
97	Not answered	67	0.8%	0.008417085
Sysmiss		2139		NA

r27_bgcha_1

Variable label:	Number of children: 0-5 years old
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	0-5 years old
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:479] [Invalid:9620] [Range:0-5]

Value	Label	Cases	Percentage
0	0	20	4.2%	0.041753653
1	1	311	64.9%	0.649269311
2	2	134	28.0%	0.279749478
3	3	10	2.1%	0.020876827
4	4	3	0.6%	0.006263048
5	5	1	0.2%	0.002087683
Sysmiss		9620		NA

r27_bgcha_2

Variable label:	Number of children: 6-10 years old
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	6-10 years old
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:522] [Invalid:9577] [Range:0-10]

Value	Label	Cases	Percentage
0	0	21	4.0%	0.040229885
1	1	375	71.8%	0.718390805
2	2	112	21.5%	0.214559387
3	3	11	2.1%	0.021072797
6	6	1	0.2%	0.001915709
10	10	2	0.4%	0.003831418
Sysmiss		9577		NA

r27_bgcha_3

Variable label:	Number of children: 11-15 years old
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	11-15 years old
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:718] [Invalid:9381] [Range:0-12]

Value	Label	Cases	Percentage
0	0	19	2.6%	0.026462396
1	1	512	71.3%	0.713091922
2	2	168	23.4%	0.233983287
3	3	14	1.9%	0.019498607
4	4	2	0.3%	0.002785515
5	5	2	0.3%	0.002785515
12	12	1	0.1%	0.001392758
14	14	0	0.0%	0.000000000
Sysmiss		9381		NA

r27_bgcha_4

Variable label:	Number of children: 16-20 years old
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	16-20 years old
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:821] [Invalid:9278] [Range:0-4]

Value	Label	Cases	Percentage
0	0	21	2.6%	0.025578563
1	1	617	75.2%	0.751522533
2	2	171	20.8%	0.208282582
3	3	8	1.0%	0.009744214
4	4	4	0.5%	0.004872107
10	10	0	0.0%	0.000000000
Sysmiss		9278		NA

r27_bgcha_5

Variable label:	Number of children: 21-30 years old
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	21-30 years old
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:2008] [Invalid:8091] [Range:0-6]

Value	Label	Cases	Percentage
0	0	18	0.9%	0.008964143
1	1	1036	51.6%	0.515936255
2	2	731	36.4%	0.364043825
3	3	178	8.9%	0.088645418
4	4	37	1.8%	0.018426295
5	5	7	0.3%	0.003486056
6	6	1	0.0%	0.000498008
8	8	0	0.0%	0.000000000
Sysmiss		8091		NA

r27_bgcha_6

Variable label:	Number of children: 31-50 years old
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	31-50 years old
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_7], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:3539] [Invalid:6560] [Range:0-7]

Value	Label	Cases	Percentage
0	0	13	0.4%	0.003673354
1	1	1092	30.9%	0.308561741
2	2	1574	44.5%	0.444758406
3	3	700	19.8%	0.197795988
4	4	128	3.6%	0.036168409
5	5	22	0.6%	0.006216445
6	6	6	0.2%	0.001695394
7	7	4	0.1%	0.001130263
Sysmiss		6560		NA

r27_bgcha_7

Variable label:	Number of children: 51 years old and above
Pre-question text:	If you have children (your own children, stepchildren, adopted children, foster children, the children of a partner, etc.), how old are the children?
Literal question:	51 years old and above
Post-question:	If you have children, please enter how many children you have in the age categories below. If you don’t have any children, the fields may be left empty. Use whole numbers, not letters.
Field period:	02.06.2023 - 22.06.2023
Technical description:	[All respondents asked] [Shown on the same page as [r27_bgcha_0 - r27_bgcha_6], and [r27_bgchao].]
Technical attributes:	[Question type:Numeric List] [Format:numeric] [Valid:800] [Invalid:9299] [Range:0-6]

Value	Label	Cases	Percentage
0	0	20	2.5%	0.02500
1	1	359	44.9%	0.44875
2	2	306	38.2%	0.38250
3	3	95	11.9%	0.11875
4	4	18	2.2%	0.02250
5	5	1	0.1%	0.00125
6	6	1	0.1%	0.00125
Sysmiss		9299		NA

r28_pcvot23m

Variable label:	Which political party/party list did you vote for in the municipal elections this autumn?
Literal question:	Which political party/party list did you vote for in the municipal elections this autumn?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Answer list display order: Randomized] [The order for the alternatives ‘A joint party list’, ‘A local list’, ‘’Would cast a blank vote’, ‘Did not vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [Range:1-17]

Value	Label	Cases	Percentage
1	The Christian Democrats	275	3.3%	0.033240662
2	The Conservative Party	1938	23.4%	0.234256014
3	The Progress Party	575	7.0%	0.069503203
4	The Liberal Party	475	5.7%	0.057415690
5	The Socialist Left Party	825	10.0%	0.099721987
6	The Centre Party	446	5.4%	0.053910311
7	The Green Party	480	5.8%	0.058020065
8	The Labour Party	1648	19.9%	0.199202224
9	The Red Party	391	4.7%	0.047262178
10	People's Party FNB	13	0.2%	0.001571377
11	The Industry and Business Party	267	3.2%	0.032273661
12	A joint party list	17	0.2%	0.002054877
13	A local list	168	2.0%	0.020307023
14	Would cast a blank vote	104	1.3%	0.012571014
15	Did not vote	407	4.9%	0.049196180
16	Not entitled to vote	12	0.1%	0.001450502
17	Other:	196	2.4%	0.023691527
97	Not answered	36	0.4%	0.004351505
Sysmiss		1826		NA

r28_pcvot23c

Variable label:	Which political party/party list did you vote for in the county council election this autumn?
Literal question:	Which political party/party list did you vote for in the county council election this autumn?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [Answer list display order: Randomized] [The order for the alternatives ‘A joint party list’, ‘A local list’, ‘’Would cast a blank vote’, ‘Did not vote’, ‘Not entitled to vote’, and ‘Other’ was not randomized, but kept at the bottom after the other alternatives.] [Added recoded values from _other-variables]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [Range:1-17]

Value	Label	Cases	Percentage
1	The Christian Democrats	257	3.1%	0.0310649099
2	The Conservative Party	1872	22.6%	0.2262782546
3	The Progress Party	544	6.6%	0.0657560740
4	The Liberal Party	406	4.9%	0.0490753052
5	The Socialist Left Party	796	9.6%	0.0962166082
6	The Centre Party	431	5.2%	0.0520971836
7	The Green Party	483	5.8%	0.0583826907
8	The Labour Party	1556	18.8%	0.1880817116
9	The Red Party	427	5.2%	0.0516136831
10	People's Party FNB	13	0.2%	0.0015713768
11	The Industry and Business Party	340	4.1%	0.0410975462
12	A joint party list	4	0.0%	0.0004835005
13	A local list	72	0.9%	0.0087030098
14	Would cast a blank vote	141	1.7%	0.0170433942
15	Did not vote	604	7.3%	0.0730085821
16	Not entitled to vote	36	0.4%	0.0043515049
17	Other:	232	2.8%	0.0280430315
97	Not answered	59	0.7%	0.0071316330
Sysmiss		1826		NA

r28_pcter

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?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [Range:1-5]

Value	Label	Cases	Percentage
1	A very high degree	343	4.1%	0.04146017
2	A high degree	1194	14.4%	0.14432491
3	Some degree	3811	46.1%	0.46065514
4	A low degree	2534	30.6%	0.30629759
5	Not at all	308	3.7%	0.03722954
97	Not answered	83	1.0%	0.01003264
Sysmiss		1826		NA

r28_pcrur

Variable label:	Agree/disagree: Government authorities show little consideration for non-urban/rural Norway.
Literal question:	To what extent do you agree or disagree with the following assertion?: Government authorities show little consideration for non-urban/rural Norway.
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [Range:1-7]

Value	Label	Cases	Percentage
1	Strongly agree	1132	13.7%	0.136830654
2	Agree	1822	22.0%	0.220234498
3	Agree somewhat	2051	24.8%	0.247914904
4	Neither agree nor disagree	1386	16.8%	0.167532938
5	Disagree somewhat	824	10.0%	0.099601112
6	Disagree	723	8.7%	0.087392723
7	Strongly disagree	257	3.1%	0.031064910
97	Not answered	78	0.9%	0.009428261
Sysmiss		1826		NA

r28_pcscc

Variable label:	Based on what you know, which of the following assertions best describes your view on climate change?
Literal question:	Based on what you know, which of the following assertions best describes your view on climate change?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [Range:1-4]

Value	Label	Cases	Percentage
1	I don’t believe that the climate is changing.	59	0.7%	0.007131633
2	I don't know whether the climate is changing or not.	271	3.3%	0.032757162
3	I believe that the climate is changing, but that it is only to a small extent due to human action	1750	21.2%	0.211531488
4	I believe that the climate is changing, and that it is to a large extent due to human action.	6111	73.9%	0.738667956
97	Not answered	82	1.0%	0.009911761
Sysmiss		1826		NA

r28_pcwcc

Variable label:	How worried are you about climate change?
Literal question:	How worried are you about climate change?
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked] [The question was exposed to respondents in order dependent on [r28_group]. If [r28_group] == 1 \| 3 \| 4 \| 5 it was displayed after [r28_pcscc]. If [r28_group] == 2 it was displayed after [r28_cehfu].]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [Range:1-5]

Value	Label	Cases	Percentage
1	Not at all worried	393	4.8%	0.047503928
2	Not very worried	1133	13.7%	0.136951529
3	Somewhat worried	2307	27.9%	0.278858939
4	Worried	2770	33.5%	0.334824127
5	Very worried	1588	19.2%	0.191949716
97	Not answered	82	1.0%	0.009911761
Sysmiss		1826		NA

r28_pccar

Variable label:	Proposal that all new private vehicles should either be electric or run on hydrogen with effect from 2025.
Literal question:	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. Which of the following statements most closely reflects your views:
Post-question:	See National Transport Plan 2018-2029, p. 16, available here: https://www.regjeringen.no/no/dokumenter/meld.-st.-33-20162017/id2546287/
Field period:	23.10.2023 - 12.11.2023
Technical description:	[All respondents asked]
Technical attributes:	[Question type:Single] [Format:numeric] [Valid:8273] [Invalid:1826] [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.	2557	30.9%	0.30907772
2	In 2025, people should still have the opportunity to purchase new private cars which run on diesel or petrol.	5613	67.8%	0.67847214
97	Not answered	103	1.2%	0.01245014
Sysmiss		1826		NA

Codebook - Round 29 - Norwegian Citizen Panel