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ANES 2020 Time Series

Differences Between the Parties

V202216POST: Important differences in what major parties stand for
Percent N Value Label
90.9 6,733 1 Yes, differences
9.1 671 2 No, no differences


21 -9 Refused


2 -8 Don't know


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


750 -6 No post-election interview


26 -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 6,690 1 Yes, one party more conservative
9.5 699 2 No, one party not more conservative


33 -9 Refused


5 -8 Don't know


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


750 -6 No post-election interview


26 -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 Democrats
90.6 6,042 2 Republicans


19 -9 Refused


5 -8 Don't know


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


750 -6 No post-election interview


26 -5 Interview breakoff (sufficient partial IW)


737 -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 2,125 1 All of the time
42.7 3,160 2 Most of the time
9.4 696 3 About half of the time
13.2 980 4 Some of the time
5.9 440 5 Never


22 -9 Refused


4 -8 Don't know


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


750 -6 No post-election interview


26 -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 Extremely important
22.4 1,654 2 Very important
33.9 2,499 3 Moderately important
13.9 1,026 4 A little important
19.7 1,452 5 Not at all important


48 -9 Refused


4 -8 Don't know


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


750 -6 No post-election interview


26 -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 Extremely important
25.1 1,850 2 Very important
32.0 2,360 3 Moderately important
11.7 860 4 A little important
17.6 1,296 5 Not at all important


46 -9 Refused


4 -8 Don't know


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


750 -6 No post-election interview


26 -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 Extremely important
22.2 1,633 2 Very important
33.7 2,485 3 Moderately important
14.3 1,057 4 A little important
19.7 1,454 5 Not at all important


52 -9 Refused


5 -8 Don't know


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


750 -6 No post-election interview


26 -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 Extremely important
17.9 1,321 2 Very important
27.3 2,010 3 Moderately important
14.4 1,061 4 A little important
29.9 2,199 5 Not at all important


61 -9 Refused


4 -8 Don't know


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


750 -6 No post-election interview


26 -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 Extremely important
25.9 1,915 2 Very important
28.2 2,080 3 Moderately important
9.5 700 4 A little important
16.0 1,182 5 Not at all important


38 -9 Refused


3 -8 Don't know


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


750 -6 No post-election interview


26 -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 5,189 1 Favor
4.1 304 2 Oppose
25.9 1,918 3 Neither favor nor oppose


12 -9 Refused


4 -8 Don't know


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


750 -6 No post-election interview


26 -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 A great deal
24.7 1,799 2 A lot
32.4 2,363 3 A moderate amount
20.2 1,468 4 A little
9.1 666 5 Not at all


133 -9 Refused


11 -8 Don't know


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


750 -6 No post-election interview


26 -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 A great deal
12.1 883 2 A lot
25.9 1,886 3 A moderate amount
28.5 2,074 4 A little
27.7 2,018 5 Not at all


125 -9 Refused


18 -8 Don't know


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


750 -6 No post-election interview


26 -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 Never
8.9 652 2 Rarely
43.5 3,174 3 A moderate amount of time
33.3 2,428 4 Very often
12.8 930 5 All the time


111 -9 Refused


22 -8 Don't know


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


750 -6 No post-election interview


26 -5 Interview breakoff (sufficient partial IW)

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

Limits on Imports

V202229POST: Favor or oppose placing new limits on imports
Percent N Value Label
55.5 4,025 1 Favor
44.5 3,223 2 Oppose


156 -9 Refused


23 -8 Don't know


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


750 -6 No post-election interview


26 -5 Interview breakoff (sufficient partial IW)

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202230POST: Favor or oppose placing new limits on imports (STRENGTH)
Percent N Value Label
42.0 3,038 1 Strongly
58.0 4,201 2 Not strongly


9 -9 Refused


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


750 -6 No post-election interview


26 -5 Interview breakoff (sufficient partial IW)


179 -1 Inapplicable

100.0 8,280
Total
Properties
Data type: numeric
Minimum code defined as valid: 0
V202231xPOST: SUMMARY: Favor/oppose new limits on imports
Percent N Value Label
28.6 2,073 1 Favor strongly
26.9 1,946 2 Favor not strongly
31.2 2,255 3 Oppose not strongly
13.3 965 4 Oppose strongly


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


750 -6 No post-election interview


26 -5 Interview breakoff (sufficient partial IW)


188 -2 DK/RF in V202229 or V202230

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