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ANES 2024 Time Series Preliminary Release

Attitudes Concerning Gender

V242444POST: CSES6_Q24: Right percent women in congress
Percent N Value Label
2.0 92 1 1. Too high
56.8 2,626 2 2. Too low
41.2 1,908 3 3. About right


77 -9 -9. Refused


12 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


48 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242445POST: CSES6_Q25a: Gender better suited lead pandemic
Percent N Value Label
2.6 123 1 1. Always male political leaders
8.7 406 2 2. Usually male political leaders
10.9 512 3 3. Usually female political leaders
2.5 119 4 4. Always female political leaders
75.2 3,521 5 5. Both equally


27 -9 -9. Refused


5 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


48 -5 -5. Sufficient partial, breakoff


248 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242446POST: CSES6_Q25b: Gender better suited lead econ crisis
Percent N Value Label
3.5 164 1 1. Always male political leaders
13.8 646 2 2. Usually male political leaders
5.9 276 3 3. Usually female political leaders
1.7 79 4 4. Always female political leaders
75.1 3,511 5 5. Both equally


32 -9 -9. Refused


4 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


50 -5 -5. Sufficient partial, breakoff


247 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Treatment of Groups

V242447POST: CSES6_Q26a: Treatment of groups
Percent N Value Label
4.6 213 1 1. Very fairly
39.4 1,835 2 2. Quite fairly
44.1 2,053 3 3. Not very fairly
11.9 552 4 4. Not at all fairly


45 -9 -9. Refused


14 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Health Care

V242448POST: CSES6_Q26b: Health care
Percent N Value Label
3.5 165 1 1. Very well
25.9 1,211 2 2. Quite well
47.1 2,201 3 3. Not very well
23.5 1,099 4 4. Not well at all


31 -9 -9. Refused


5 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

COVID-related Feelings or Affect

V242449POST: CSES6_Q27a: COVID affect on united society
Percent N Value Label
2.1 99 1 1. Very positively
11.7 546 2 2. Fairly positively
14.3 672 3 3. Not at all
41.5 1,942 4 4. Fairly negatively
30.4 1,424 5 5. Very negatively


23 -9 -9. Refused


6 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242450POST: CSES6_Q27b: COVID affect on democracy
Percent N Value Label
1.4 66 1 1. Very positively
9.8 458 2 2. Fairly positively
28.2 1,319 3 3. Not at all
41.4 1,939 4 4. Fairly negatively
19.2 897 5 5. Very negatively


27 -9 -9. Refused


6 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242451POST: CSES6_Q27c: COVID affect on personal economics
Percent N Value Label
1.9 87 1 1. Very positively
8.9 415 2 2. Fairly positively
51.9 2,435 3 3. Not at all
26.4 1,236 4 4. Fairly negatively
11.0 516 5 5. Very negatively


21 -9 -9. Refused


2 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242452POST: CSES6_Q27d: COVID infection
Percent N Value Label
74.3 3,490 1 1. Yes
25.7 1,207 2 2. No


13 -9 -9. Refused


2 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


246 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Immigration and Identity

V242453POST: CSES6- Q05c: Out-group attitudes: Immigrants increase crime
Percent N Value Label
17.3 812 1 1. Agree strongly
26.1 1,222 2 2. Agree somewhat
20.4 954 3 3. Neither agree nor disagree
16.0 748 4 4. Disagree somewhat
20.3 950 5 5. Disagree strongly


21 -9 -9. Refused


4 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


472 -6 -6. No post interview


51 -5 -5. Sufficient partial, breakoff


247 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242454POST: CSES6- Q06a: National identity: to have been born in country
Percent N Value Label
22.6 1,105 1 1. Very important
29.0 1,414 2 2. Fairly important
29.0 1,418 3 3. Not very important
19.4 946 4 4. Not important at all


23 -9 -9. Refused


2 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


517 -6 -6. No post interview


52 -5 -5. Sufficient partial, breakoff


1 -4 -4. Error


3 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242455POST: CSES6- Q06c: National identity: to be able to speak English
Percent N Value Label
48.5 2,371 1 1. Very important
35.0 1,711 2 2. Fairly important
11.7 573 3 3. Not very important
4.7 232 4 4. Not important at all


18 -9 -9. Refused


2 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


517 -6 -6. No post interview


54 -5 -5. Sufficient partial, breakoff


2 -4 -4. Error


1 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Corruption

V242456POST: CSES6- Q07: How widespread is corruption
Percent N Value Label
31.4 1,527 1 1. Very widespread
46.3 2,250 2 2. Quite widespread
20.3 985 3 3. Not very widespread
2.1 101 4 4. Hardly happens at all


32 -9 -9. Refused


14 -8 -8. Don't know


40 -7 -7. Insufficient partial, interview deleted


517 -6 -6. No post interview


54 -5 -5. Sufficient partial, breakoff


1 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Transgender Females in Sports

V242457POST: PAPER: Does R favor or oppose banning transgender girls from sports
Percent N Value Label
52.0 104 1 1. Favor a great deal
5.5 11 2 2. Favor a moderate amount
3.5 7 3 3. Favor a little
16.5 33 4 4. Neither favor nor oppose
4.5 9 5 5. Oppose a little
4.0 8 6 6. Oppose a moderate amount
14.0 28 7 7. Oppose a great deal


45 -6 -6. No post interview


5,276 -1 -1. Inapplicable

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V242458xPRE-POST: SUMMARY: Does R favor/oppose banning transgender girls from sports
Percent N Value Label
39.8 2,163 1 1. Favor a great deal
8.7 470 2 2. Favor a moderate amount
2.7 148 3 3. Favor a little
25.6 1,390 4 4. Neither favor nor oppose
2.2 118 5 5. Oppose a little
7.4 400 6 6. Oppose a moderate amount
13.7 742 7 7. Oppose a great deal


45 -6 -6. No post interview


44 -2 -2. DK/RF in V241373 or V241374


1 -1

100.0 5,521
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
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