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ANES 2020 Time Series Full Release

Political Efficacy

V202212POST: [STD] Public officials don't care what people think
Percent N Value Label
25.4 1,882 1 1. Agree strongly
41.4 3,065 2 2. Agree somewhat
14.4 1,065 3 3. Neither agree nor disagree
15.7 1,164 4 4. Disagree somewhat
3.2 236 5 5. Disagree strongly


11 -9 -9. Refused


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


25 -5 -5. Interview breakoff (sufficient partial IW)


1 -4 -4. Technical error

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202213POST: [STD] Have no say about what goverment does
Percent N Value Label
21.8 1,614 1 1. Agree strongly
37.4 2,774 2 2. Agree somewhat
11.6 860 3 3. Neither agree nor disagree
22.7 1,687 4 4. Disagree somewhat
6.5 481 5 5. Disagree strongly


8 -9 -9. Refused


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


25 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202214POST: [REV] Politics/government too complicated to understand
Percent N Value Label
4.4 327 1 1. Always
18.5 1,370 2 2. Most of the time
23.7 1,760 3 3. About half the time
41.3 3,065 4 4. Some of the time
12.0 892 5 5. Never


8 -9 -9. Refused


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)


1 -4 -4. Technical error

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202215POST: [REV] How well does R understand important political issues
Percent N Value Label
11.7 871 1 1. Extremely well
27.8 2,063 2 2. Very well
44.3 3,289 3 3. Moderately well
12.8 949 4 4. Slightly well
3.3 246 5 5. Not well at all


5 -9 -9. Refused


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Differences Between the Parties

V202216POST: Important differences in what major parties stand for
Percent N Value Label
90.9 6,729 1 1. Yes, differences
9.1 671 2 2. No, no differences


21 -9 -9. Refused


2 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202217POST: Is one of the parties more conservative than the other
Percent N Value Label
90.5 6,686 1 1. Yes, one party more conservative
9.5 699 2 2. No, one party not more conservative


33 -9 -9. Refused


5 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202218POST: Which is the party that is more conservative
Percent N Value Label
9.4 624 1 1. Democrats
90.6 6,038 2 2. Republicans


19 -9 -9. Refused


5 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)


737 -1 -1. Inapplicable

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Fairness of Vote Counting

V202219POST: How often are votes counted fairly
Percent N Value Label
28.7 2,124 1 1. All of the time
42.7 3,158 2 2. Most of the time
9.4 696 3 3. About half of the time
13.2 979 4 4. Some of the time
5.9 440 5 5. Never


22 -9 -9. Refused


4 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Importance of Groups Elected to Political Offices

V202220POST: How important that more Hispanics get elected to political office
Percent N Value Label
10.1 744 1 1. Extremely important
22.4 1,654 2 2. Very important
33.9 2,498 3 3. Moderately important
13.9 1,026 4 4. A little important
19.7 1,449 5 5. Not at all important


48 -9 -9. Refused


4 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202221POST: How important that more blacks get elected to political office
Percent N Value Label
13.7 1,011 1 1. Extremely important
25.1 1,850 2 2. Very important
32.0 2,359 3 3. Moderately important
11.7 860 4 4. A little important
17.5 1,293 5 5. Not at all important


46 -9 -9. Refused


4 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202222POST: How important that more Asians get elected to political office
Percent N Value Label
10.1 741 1 1. Extremely important
22.2 1,633 2 2. Very important
33.7 2,484 3 3. Moderately important
14.3 1,057 4 4. A little important
19.7 1,451 5 5. Not at all important


52 -9 -9. Refused


5 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202223POST: How important that more LGBT people get elected to political office
Percent N Value Label
10.5 771 1 1. Extremely important
18.0 1,321 2 2. Very important
27.3 2,009 3 3. Moderately important
14.4 1,061 4 4. A little important
29.8 2,196 5 5. Not at all important


61 -9 -9. Refused


4 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202224POST: How important that more women get elected to political office
Percent N Value Label
20.4 1,509 1 1. Extremely important
25.9 1,914 2 2. Very important
28.2 2,080 3 3. Moderately important
9.5 698 4 4. A little important
16.0 1,181 5 5. Not at all important


38 -9 -9. Refused


3 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0

Campaign Finance

V202225POST: Limits on campaign spending
Percent N Value Label
70.0 5,185 1 1. Favor
4.1 304 2 2. Oppose
25.9 1,918 3 3. Neither favor nor oppose


12 -9 -9. Refused


4 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202226POST: Congress pass laws that benefit contributor organization
Percent N Value Label
13.6 987 1 1. A great deal
24.7 1,798 2 2. A lot
32.4 2,362 3 3. A moderate amount
20.2 1,467 4 4. A little
9.1 666 5 5. Not at all


132 -9 -9. Refused


11 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202227POST: Congress pass laws that benefit contributor individuals
Percent N Value Label
5.8 423 1 1. A great deal
12.1 883 2 2. A lot
25.9 1,883 3 3. A moderate amount
28.5 2,074 4 4. A little
27.7 2,017 5 5. Not at all


125 -9 -9. Refused


18 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202228POST: Congress change votes because of donation to campaign
Percent N Value Label
1.5 110 1 1. Never
8.9 652 2 2. Rarely
43.5 3,173 3 3. A moderate amount of time
33.3 2,426 4 4. Very often
12.8 930 5 5. All the time


110 -9 -9. Refused


22 -8 -8. Don't know


77 -7 -7. No post-election data, deleted due to incomplete interview


754 -6 -6. No post-election interview


26 -5 -5. Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
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