Survey 160 Tracking Poll, April 2026

Apr 23

Written By Pedro Antenucci and Kevin Collins

By Pedro Antenucci and Kevin Collins

Today, we are releasing the results from our ongoing Survey 160 tracking poll conducted between April 8 and April 13. In addition to our continued research on presidential approval and the congressional generic ballot, this poll introduces a new experiment to test how exposure to recent news stories involving specific political figures affects voters' baseline perceptions of party corruption.

Presidential Approval and Generic Congressional Ballot

In a mixed mode text-to-web and online panel survey of 1,539 registered voters nationwide (see full methodological details at the bottom of this blog post), we find that Donald Trump’s approval has changed only slightly since our last poll. 37% of respondents somewhat or strongly approve of the way Trump is handling his job as president (slightly down from 38% last poll), while 60% of respondents either somewhat or strongly disapprove (marginally up from 59% last poll).

Presidential Approval over Four Survey Waves

Our last Survey 160 tracking poll showed Democrats with a 10-point lead in the generic ballot for the US House – and that lead remains steady at 10 points in our latest poll. Overall, 47% of voters favor the Democratic candidate, 37% favor the Republican candidate, and 16% remain unsure or refused to answer.

Looking at the crosstabs, the partisan lines remain firmly drawn: 94% of Democrats support the Democratic candidate, while 87% of Republicans support the Republican candidate. Support among independent voters also remains largely stable. In March, 53% of independents preferred Democratic candidates, 21% preferred Republican candidates, and 25% were undecided. By April, that stood at 51% for Democratic candidates and 22% for Republican candidates, with the remaining 27% undecided.

Full question wording and crosstabs are available below.

Generic Congressional Ballot Preference over Four Survey Waves

Perception of Public Corruption

Turning to the topic of public corruption, we continued our experimental research to see how perceptions of the two major political parties are shaped by exposure to specific policy and news information.

In previous surveys, we tested the impact of a single news story on party perceptions. This month, we expanded this into a multi-story "dose-response" experiment to see how cumulative exposure to different corruption scandals affects baseline partisan views, including stories of corruption by Democratic elected officials.

In this study, respondents were randomly presented with three recent news events that media reports have called corrupt and asked to evaluate whether they viewed each event as very corrupt, somewhat corrupt, not very corrupt, or not at all corrupt. The three vignettes exposed to any particular respondent were drawn randomly from a pool of six real-world events:

Two Democratic vignettes: The indictments of Rep. Henry Cuellar and conviction of Sen. Bob Menendez on bribery charges.
Four Republican vignettes: Donald Trump’s pardon of Binance founder Changpeng Zhao, Trump's fundraising pitch to oil industry executives, alleged insider trading in oil futures prior to a Trump announcement on Iran, and Sen. Steve Daines' last-minute withdrawal to favor a handpicked successor.

The full text of these vignettes is in the questionnaire at the bottom of the blog post. To measure the impact of these stories, half of our respondents (the control group) were asked our standard tracking question—"Who do you think is more corrupt?"—before evaluating the news stories. The other half (the treatment group) were asked the party corruption question after reading and evaluating their three randomly assigned stories.

To preview the results, we found that

Exposing respondents to vignettes about corruption shaped who they thought was more corrupt, including among partisans
The effects varied by story of corruption, with some moving attitudes more strongly than others
The “dose-response” relationship, in terms of the share of stories that are about the GOP, is noisy at best, suggesting that which stories are included matter more than the volume
The effect of the story on in-party attitudes cannot easily be predicted from those partisans’ assessment of the seriousness of corruption in the vignette

Effect of Individual Stories

First, we isolated the marginal effect of each specific story to see if certain scandals resonated more powerfully than others.

Marginal Effects of Individual Scandal Stories on Corruption Perceptions

To test this, we used a linear regression, limiting to the half of cases in which that story was presented to respondents (either before or after the question about corruption. That regression also controlled for which other stories were presented. We found that not all scandals have the same effect. The Oil Industry fundraising story had the strongest independent effect, shifting overall voters to view the Republican Party as more corrupt by 9.3 percentage points (p<0.05). The Steve Daines ballot maneuvering story also resonated, shifting that same metric by 8.6 points (p<0.05). Meanwhile, stories like the Binance Pardon produced virtually no statistically significant movement, shifting views on Republican corruption by less than a single point (0.8 pp), which is somewhat surprising given our earlier experiment on that same topic.

Looking at the effect of the Democratic stories on Democratic voters, we see that Democrats are persuadable when confronted with specific evidence against their own side. Exposure to the Bob Menendez bribery story clearly had a positive effect on co-partisan blame, significantly increasing the perception among Democrats that the Democratic Party is more corrupt by 6.6 percentage points (p<0.05). The Henry Cuellar indictment story similarly pushed Democrats to view their own party as more corrupt by 4.7 percentage points, though this shift was not statistically significant in this sample.

Dose-Response Relationship

Because the three stories were drawn randomly from a pool weighted toward Republican events, respondents naturally received different "dosages" of partisan news. Some saw one Republican story and two Democratic stories, while others saw up to three Republican stories and zero Democratic stories. Given the distribution of story types, there were 20 possible combinations of stories: four with only Republican vignettes, twelve with one Democratic vignette and two Republican vignettes, and four with two Democratic vignettes and one Republican vignette.

Before getting into the dose-response or heterogeneity, it is useful to look at the overall effect of any treatment versus the control group. Overall, comparing all respondents who received any treatment combination to the all-control group, we saw that exposing respondents to this mix of vignettes shifted the baseline. It increased the perception that Republicans are more corrupt by 5.3 percentage points (p<0.1) and decreased the perception that Democrats are more corrupt by 4.4 percentage points, though this shift was not statistically significant.

Next, we looked at the predicted probabilities of how voters viewed party corruption based on the "dose" of Republican stories they received compared to the control group.

Turning to the dose-response relationship, the data shows that a mixed, high dosage of GOP stories successfully moved the needle. Receiving 2 GOP stories (and 1 Democratic story) shifted voters away from viewing the Democratic Party as more corrupt (a drop of 7.1 percentage points, p<0.05) and increased the likelihood of viewing the Republican Party as more corrupt by 6.7 points (p<0.1).

Disaggregating by party identification, we see heterogeneity similar to what we have seen in previous experiments on this topic. For Democrats, seeing a mixed dosage of 1 GOP and 2 Democratic stories decreased the likelihood they would identify the Republican party as more corrupt by 13.3 percentage points compared to the control group. Conversely, among Republicans, exposure to 2 GOP stories and 1 Democratic story shifted them away from viewing Democrats as more corrupt—17.6 percentage point drop (p<0.05)—and pushed them toward the "both are equally corrupt" option by 11.6 points.

Predicting Effects from Assessment of Corruption in a Vignette

Finally, we wanted to test a specific methodological question: Can a simple assessment of the level of corruption predict the effect on the attitudes of partisans towards their own party?

The scatterplot above maps how frequently co-partisans rated an act as "Very" or "Somewhat" corrupt (the X-axis) against that story's marginal effect on shifting out-party corruption perceptions (the Y-axis). We selected the effect on assessment of out-party corruption as an outcome, because in some cases the effect is to increase the perception that one’s own party is more corrupt, and in other cases it is to move towards “both parties are equally corrupt.” If simple assessments of how corrupt a story is were good predictors of effects on attitudes, then we would expect a slope from the upper left to the lower right, with more negative effects on the perception of out-party corruption.

But in fact we found the opposite, suggesting that it is not sufficient to ask voters about the level of corruption in a story of behavior of their co-partisans in power. We actually saw greater movement, on average, from stories that were viewed by co-partisans (of the politician described) as less corrupt. Part of this relationship is driven by smaller effects among Democrats who were more likely to rate the actions in the stories about Democrats as highly corrupt, but in either case, the relationship is noisy. So it seems that we need experiments to tell us about the causal effects of each vignette.

Crosstabs

  
  
  
      
      
        Topline
      
      
        Party ID
      
      
        Race
      
      
        Gender
      
      
        Education
      
      
        Age Group
      
      
        Region
      
      
        2024 Vote
      
    

      Overall
      Democrat
      Republican
      Independent
      Other Party
      White
      Black
      Hispanic
      AAPI/Other
      Man
      Woman
      Some other way
      College
      Non-college
      18-29
      30-44
      45-64
      65+
      Northeast
      Midwest
      South
      West
      Harris
      Trump
      Other
      Didn't Vote
    

  
      Do you think things in The United States are generally going in the right direction or the wrong direction?
    
Right direction
33
6
72
22
12
38
21
22
25
37
29
22
34
32
12
30
38
38
32
34
34
29
4
71
8
13
Wrong direction
62
91
22
71
80
57
74
70
67
58
65
73
62
61
81
65
55
58
60
60
60
67
93
22
80
76
IDK/Refused
6
3
7
7
8
5
6
8
8
5
6
5
4
7
7
4
8
4
8
6
6
4
2
8
12
11

      Do you approve or disapprove of the way Donald Trump is handling his job as president?
    
Strongly approve
25
3
58
15
10
30
12
16
20
26
24
27
24
26
6
19
30
33
24
26
26
24
2
56
5
10
Somewhat approve
12
1
25
11
8
14
5
11
15
14
11
1
13
12
9
12
14
11
12
13
13
10
1
26
9
9
Somewhat disapprove
8
7
5
12
10
6
9
17
10
9
7
NA
6
10
9
12
8
5
12
6
8
7
6
7
16
17
Strongly disapprove
52
88
9
60
67
49
71
55
51
49
55
67
56
50
72
55
46
50
50
53
50
56
91
9
58
56
IDK/Refused
2
2
2
2
5
2
4
2
4
2
3
5
1
3
4
2
3
2
1
2
3
3
1
2
13
8
Total approve
37
4
83
26
19
43
17
27
35
40
35
28
37
38
15
31
44
44
36
40
39
34
3
82
13
18
Total disapprove
60
95
14
72
77
55
79
71
61
58
62
67
62
59
81
67
53
54
63
59
58
63
97
16
74
74

      If the 2026 election for US Congress were held today, would you support the Democratic candidate or the Republican candidate on the ballot?
    
Democratic Candidate
47
94
5
51
38
43
69
50
40
43
50
57
52
44
54
52
43
44
51
46
46
48
90
6
38
30
Republican Candidate
37
2
87
22
20
43
17
30
32
41
34
23
37
38
17
33
42
43
32
39
39
37
2
82
10
24
IDK/Refused
16
4
8
27
42
14
15
20
29
16
15
20
11
18
29
14
14
13
17
15
15
16
8
13
52
46

      [Cuellar] Do you see these events as …
    
Very corrupt
82
85
80
82
82
83
89
73
79
83
81
85
83
81
81
77
84
84
78
87
81
81
85
82
69
78
Somewhat corrupt
13
12
12
15
15
13
7
17
13
12
14
5
13
13
15
14
10
14
16
8
12
16
12
12
24
17
Not very corrupt
4
4
6
2
1
4
3
7
3
4
4
10
2
5
1
8
4
2
5
4
4
2
3
5
7
3
Not at all corrupt
1
0
2
1
2
1
1
2
6
1
1
NA
2
1
3
1
2
0
0
1
2
NA
0
2
1
2

      [Menendez] Do you see these events as …
    
Very corrupt
87
89
89
84
83
90
79
82
86
88
87
62
89
86
86
82
86
94
86
92
84
88
90
85
92
82
Somewhat corrupt
10
8
7
13
15
8
18
10
8
8
11
32
10
10
10
14
10
6
11
6
13
8
8
10
8
16
Not very corrupt
2
2
3
2
1
1
2
7
1
3
1
6
1
3
1
4
3
0
2
2
2
4
2
4
NA
NA
Not at all corrupt
1
1
0
1
1
1
2
NA
5
1
1
NA
1
1
3
NA
1
0
1
0
1
NA
0
1
NA
2

      [Binance Pardon] Do you see these events as …
    
Very corrupt
58
88
20
68
75
53
77
69
61
54
62
73
62
56
71
59
57
54
57
58
54
66
94
18
68
63
Somewhat corrupt
19
8
28
17
21
22
8
14
14
22
17
NA
18
19
23
22
18
15
17
23
18
18
5
32
19
26
Not very corrupt
12
2
27
9
1
15
3
7
12
12
12
9
11
13
4
10
12
17
10
13
16
6
2
28
4
2
Not at all corrupt
10
1
25
6
3
11
11
10
14
12
9
18
10
11
2
8
12
14
16
6
11
10
0
22
8
8

      [Oil Industry Campaign Donations] Do you see these events as …
    
Very corrupt
54
86
13
62
63
51
73
51
51
50
57
85
56
52
61
57
47
56
52
60
47
59
90
11
73
61
Somewhat corrupt
16
12
21
15
14
14
12
28
14
17
15
NA
16
16
23
19
15
12
14
13
18
17
9
24
17
14
Not very corrupt
15
1
29
17
6
19
4
5
20
16
14
12
14
16
8
12
16
19
17
14
19
8
1
32
4
12
Not at all corrupt
15
1
38
6
17
16
11
16
14
17
14
3
14
16
9
12
22
13
17
13
16
16
0
33
6
12

      [Insider Trading] Do you see these events as …
    
Very corrupt
63
87
36
68
68
60
80
68
54
57
68
76
63
63
68
69
56
65
65
59
62
68
88
32
71
68
Somewhat corrupt
19
11
22
23
18
20
10
16
34
22
16
NA
18
19
20
22
20
14
18
19
18
21
11
28
11
19
Not very corrupt
10
2
21
6
5
12
3
4
6
9
10
24
10
10
6
6
11
13
9
11
11
6
1
20
3
12
Not at all corrupt
9
0
21
3
10
8
7
10
6
12
6
NA
9
8
6
3
14
8
8
11
10
5
NA
20
16
0

      [Daines] Do you see these events as …
    
Very corrupt
44
60
24
46
51
42
53
43
41
43
45
30
43
44
43
43
46
42
41
43
48
38
60
24
60
41
Somewhat corrupt
35
36
31
40
34
34
35
42
30
37
33
38
39
32
47
42
30
28
32
38
31
42
36
33
35
38
Not very corrupt
12
3
21
10
11
13
8
8
15
12
11
18
10
13
10
9
11
15
15
11
13
6
4
20
NA
14
Not at all corrupt
10
1
25
5
4
11
4
8
14
8
11
14
9
11
NA
6
13
15
12
8
8
14
0
22
5
7

      Who do you think is more corrupt?
    
Democratic Party
25
4
58
15
9
29
16
17
20
28
23
12
24
26
14
18
30
31
22
24
26
28
3
55
2
9
Republican Party
33
73
5
28
26
32
45
31
28
30
36
36
38
30
26
36
32
36
34
36
31
34
66
4
21
15
Both are equally corrupt
37
19
33
52
57
35
30
47
46
39
34
44
35
38
56
42
33
29
38
36
38
35
28
37
68
64
Neither
1
0
2
1
2
1
2
2
1
1
1
3
0
2
0
1
1
1
4
0
1
0
0
2
1
1
IDK/Refused
3
3
2
4
7
3
7
3
6
2
5
5
2
4
4
3
3
3
2
4
4
3
2
2
8
11

      Do you describe yourself as a man, a woman, or in some other way?
    
Man
48
37
49
55
50
44
52
56
61
100
NA
NA
48
47
58
53
48
38
46
51
44
50
41
55
57
45
Woman
51
62
50
43
46
54
47
43
37
NA
100
NA
51
51
38
46
52
61
53
47
55
48
58
45
40
54
Some other way
1
1
1
2
4
1
1
2
3
NA
NA
100
1
2
4
1
1
1
1
2
1
1
2
1
4
1

      Which of the following best describes your race and ethnic background?
    
African-American or Black
11
20
5
8
10
NA
100
NA
NA
12
10
11
9
12
6
12
14
8
11
8
16
6
16
5
3
14
Asian-American, South-Asian, or Pacific Islander
1
1
0
1
1
NA
NA
NA
30
1
1
NA
1
0
1
1
1
1
0
0
1
1
1
1
NA
2
Hispanic or Latino
17
20
12
17
18
NA
NA
100
NA
20
14
18
12
20
34
20
18
6
14
7
16
28
18
13
16
27
Native American
0
0
0
1
0
NA
NA
NA
14
1
0
NA
0
0
1
0
1
0
0
0
0
0
0
0
0
1
White or Caucasian
70
57
81
70
69
100
NA
NA
NA
65
74
65
76
66
56
66
65
84
72
83
66
62
64
80
78
53
More than one of the above
1
1
1
2
1
NA
NA
NA
42
1
1
2
1
1
2
1
1
1
1
1
1
1
1
1
1
2
Other
0
0
0
1
1
NA
NA
NA
14
0
0
3
0
0
NA
0
0
0
0
0
1
0
0
0
2
1

      What is the last year of education or degree you've finished?
    
1st through 11th grade
1
1
1
1
3
1
1
2
2
1
2
5
NA
2
4
1
0
1
1
1
0
2
0
1
4
4
High School degree or GED
20
21
21
18
21
20
22
20
18
18
21
13
NA
33
26
21
19
18
20
24
21
15
17
19
9
37
Technical or vocational school
6
4
6
8
6
6
3
7
7
7
6
4
NA
10
5
7
6
6
11
9
5
2
6
6
14
6
Some college but no degree
22
23
21
22
26
20
32
26
16
25
19
29
NA
37
27
18
25
22
21
23
22
24
22
23
13
23
Associate's (2 year) degree
11
12
11
9
12
10
11
15
15
8
13
18
NA
18
12
9
11
12
9
9
12
13
11
11
9
10
Bachelor's (4 year) degree
24
22
28
25
14
26
21
18
22
27
22
12
61
NA
22
28
23
22
22
19
24
30
24
27
31
12
Graduate or professional degree
16
18
12
16
17
17
10
10
20
13
18
19
39
NA
5
16
16
18
16
16
16
13
20
12
20
9

      In the 2024 election for US President, for whom did you vote?
    
Kamala Harris
45
92
4
47
35
41
67
47
35
38
50
60
50
41
49
46
42
45
45
46
43
47
100
NA
NA
NA
Donald Trump
41
2
91
31
22
47
19
33
37
48
36
22
40
42
24
38
46
47
38
43
44
38
NA
100
NA
NA
Chase Oliver
1
0
0
3
1
1
NA
3
1
1
1
3
2
1
0
1
1
1
1
0
1
2
NA
NA
33
NA
Jill Stein
2
1
NA
4
8
3
1
0
3
3
2
7
3
2
2
3
2
2
2
3
2
2
NA
NA
67
NA
Did not vote for President
9
4
4
14
29
7
13
14
22
9
10
NA
5
12
19
12
8
5
13
6
10
8
NA
NA
NA
88
Was not eligible to vote for President
1
1
0
1
5
1
0
2
2
1
1
9
0
2
6
0
1
0
0
1
1
2
NA
NA
NA
12

      And today, when it comes to politics, do you think of yourself as more of a...
    
Democrat
29
100
NA
NA
NA
24
55
35
26
23
35
26
30
29
34
27
30
28
35
26
28
30
60
1
8
15
Independent
28
NA
NA
100
NA
29
21
30
46
33
24
31
30
28
27
32
27
27
27
32
28
27
30
22
63
40
Republican
33
NA
100
NA
NA
38
16
25
16
34
32
17
33
32
17
29
34
40
28
30
37
31
3
72
3
14
Something else
7
NA
NA
NA
70
8
6
4
8
8
5
21
6
7
13
9
6
4
5
9
6
9
6
4
23
16
Unsure
3
NA
NA
NA
30
2
2
6
5
2
3
5
2
4
9
3
2
2
5
3
2
3
1
1
4
15

      Would you call yourself a strong Democrat or a not very strong Democrat?
    
Not very strong Democrat
28
28
NA
NA
NA
27
26
30
54
29
27
25
26
29
39
33
30
15
30
29
26
28
24
100
19
67
Strong Democrat
72
72
NA
NA
NA
73
74
70
46
71
73
75
74
71
61
67
70
85
70
71
74
72
76
NA
81
33

      Would you call yourself a strong Republican or a not very strong Republican?
    
Not very strong Republican
22
NA
22
NA
NA
22
16
27
20
21
23
NA
33
15
22
29
14
25
16
25
20
27
76
18
18
43
Strong Republican
78
NA
78
NA
NA
78
84
73
80
79
77
100
67
85
78
71
86
75
84
75
80
73
24
82
82
57

      Do you generally think of yourself as closer to...
    
The Democratic Party
37
NA
NA
37
NA
38
44
31
20
34
39
62
45
31
39
37
34
38
36
39
36
37
63
3
28
27
The Republican Party
25
NA
NA
25
NA
28
4
21
24
30
19
18
25
24
15
23
30
24
21
29
22
27
2
68
9
13
Neither
36
NA
NA
36
NA
32
48
46
52
34
40
16
27
43
40
39
34
35
44
29
39
35
32
27
63
56
Unsure
2
NA
NA
2
NA
2
3
2
3
3
2
3
2
3
5
1
2
3
NA
3
3
2
3
2
NA
4

      How often do you pay attention to what's going on in government and politics? All the time, most of the time, about half the time, once in a while, or never
    
All the time
42
48
40
35
48
42
38
42
32
43
41
39
47
38
28
37
44
48
36
41
42
45
50
39
37
18
Most of the time
34
32
37
37
23
35
36
29
44
36
34
24
38
32
32
42
30
34
38
36
32
35
33
38
27
27
About half the time
16
13
14
21
14
14
18
21
16
16
15
27
12
18
29
14
16
12
17
14
16
16
13
15
26
28
Once in a while
7
4
9
6
14
8
4
8
7
6
8
10
3
10
9
6
9
5
8
8
8
4
2
8
11
24
Never
1
2
1
1
1
1
4
0
1
0
2
NA
0
2
2
1
1
2
1
1
2
NA
2
0
NA
4

      In the past 12 months, how often did you discuss political, societal, or local issues with friends or family?
    
Basically every day
33
34
30
30
45
35
30
26
26
32
33
42
39
29
25
31
34
36
28
37
30
36
38
31
33
17
A few times a week
37
41
37
39
22
37
36
37
46
42
33
24
38
36
37
42
37
33
37
34
39
37
40
37
31
27
A few times a month
15
13
16
18
11
14
17
19
14
12
17
24
14
15
26
15
11
16
15
17
14
14
14
15
15
20
Once a month
4
3
4
4
3
3
2
8
2
4
4
8
3
4
3
5
5
2
5
3
2
6
2
5
5
6
Less than once a month
5
2
6
5
10
5
6
4
9
5
6
NA
4
6
2
4
7
5
5
5
6
4
1
6
5
19
Not at all
6
6
7
5
9
6
9
6
4
5
8
1
2
9
7
4
6
8
10
5
7
4
5
6
10
11

      How important is politics to your personal identity?
    
Extremely important
17
20
17
13
17
16
24
16
16
18
16
20
21
14
13
18
16
17
12
16
20
16
20
17
16
3
Very important
22
27
21
18
18
22
20
20
13
22
22
22
23
21
19
25
18
24
26
18
20
24
26
20
12
11
Somewhat important
29
31
27
32
17
28
27
30
38
29
28
19
27
30
30
28
27
31
26
31
27
30
31
29
18
20
Not too important
18
13
21
18
19
19
12
16
17
17
18
21
18
17
16
17
22
14
17
19
17
18
12
22
15
24
Not at all important
12
6
13
17
18
12
9
15
11
13
12
3
10
14
14
10
15
11
18
11
13
10
7
12
30
33
IDK/Refused
3
3
1
2
10
2
7
3
5
2
4
14
1
4
7
2
2
3
1
5
3
2
3
1
8
8

      Do you consider yourself to be a feminist?
    
Yes
33
53
11
36
44
35
23
37
23
25
40
75
44
27
52
39
28
28
36
33
29
38
56
11
40
25
No
54
37
78
48
38
53
64
50
57
62
47
15
45
59
35
50
59
57
54
53
58
47
33
77
43
52
IDK/Refused
13
10
11
17
18
13
13
14
20
13
13
10
11
14
14
10
13
15
10
14
13
15
12
12
17
23

      Age from voter file.
    
18-29
11
13
6
10
24
9
6
22
17
13
8
32
7
13
11
NA
NA
NA
10
11
9
14
12
6
7
26
30-44
27
25
24
31
32
26
30
32
26
30
24
22
30
25
NA
27
NA
NA
28
27
25
30
28
25
35
32
45-64
34
35
36
32
28
32
44
36
37
34
34
23
33
34
NA
NA
34
NA
42
33
36
25
32
37
29
29
65+
28
27
34
27
15
34
20
10
20
23
34
22
29
28
NA
NA
NA
28
20
30
30
30
28
32
28
14

      Region from voter file.
    
Northeast
17
20
15
16
16
18
16
15
17
16
17
13
16
17
16
18
21
12
17
NA
NA
NA
17
15
17
22
Midwest
23
20
21
26
27
27
17
10
19
24
21
28
20
24
22
22
22
24
NA
23
NA
NA
23
24
24
17
South
38
36
43
37
28
35
54
37
36
35
40
36
39
37
31
35
40
40
NA
NA
38
NA
36
40
28
39
West
23
24
22
21
28
20
13
39
28
24
22
23
25
21
30
25
17
24
NA
NA
NA
23
24
21
31
23

  
  

	Topline	Party ID	Race	Gender	Education	Age Group	Region	2024 Vote
Do you think things in The United States are generally going in the right direction or the wrong direction?
Right direction	33	6	72	22	12	38	21	22	25	37	29	22	34	32	12	30	38	38	32	34	34	29	4	71	8	13
Wrong direction	62	91	22	71	80	57	74	70	67	58	65	73	62	61	81	65	55	58	60	60	60	67	93	22	80	76
IDK/Refused	6	3	7	7	8	5	6	8	8	5	6	5	4	7	7	4	8	4	8	6	6	4	2	8	12	11
Do you approve or disapprove of the way Donald Trump is handling his job as president?
Strongly approve	25	3	58	15	10	30	12	16	20	26	24	27	24	26	6	19	30	33	24	26	26	24	2	56	5	10
Somewhat approve	12	1	25	11	8	14	5	11	15	14	11	1	13	12	9	12	14	11	12	13	13	10	1	26	9	9
Somewhat disapprove	8	7	5	12	10	6	9	17	10	9	7	NA	6	10	9	12	8	5	12	6	8	7	6	7	16	17
Strongly disapprove	52	88	9	60	67	49	71	55	51	49	55	67	56	50	72	55	46	50	50	53	50	56	91	9	58	56
IDK/Refused	2	2	2	2	5	2	4	2	4	2	3	5	1	3	4	2	3	2	1	2	3	3	1	2	13	8
Total approve	37	4	83	26	19	43	17	27	35	40	35	28	37	38	15	31	44	44	36	40	39	34	3	82	13	18
Total disapprove	60	95	14	72	77	55	79	71	61	58	62	67	62	59	81	67	53	54	63	59	58	63	97	16	74	74
If the 2026 election for US Congress were held today, would you support the Democratic candidate or the Republican candidate on the ballot?
Democratic Candidate	47	94	5	51	38	43	69	50	40	43	50	57	52	44	54	52	43	44	51	46	46	48	90	6	38	30
Republican Candidate	37	2	87	22	20	43	17	30	32	41	34	23	37	38	17	33	42	43	32	39	39	37	2	82	10	24
IDK/Refused	16	4	8	27	42	14	15	20	29	16	15	20	11	18	29	14	14	13	17	15	15	16	8	13	52	46
[Cuellar] Do you see these events as …
Very corrupt	82	85	80	82	82	83	89	73	79	83	81	85	83	81	81	77	84	84	78	87	81	81	85	82	69	78
Somewhat corrupt	13	12	12	15	15	13	7	17	13	12	14	5	13	13	15	14	10	14	16	8	12	16	12	12	24	17
Not very corrupt	4	4	6	2	1	4	3	7	3	4	4	10	2	5	1	8	4	2	5	4	4	2	3	5	7	3
Not at all corrupt	1	0	2	1	2	1	1	2	6	1	1	NA	2	1	3	1	2	0	0	1	2	NA	0	2	1	2
[Menendez] Do you see these events as …
Very corrupt	87	89	89	84	83	90	79	82	86	88	87	62	89	86	86	82	86	94	86	92	84	88	90	85	92	82
Somewhat corrupt	10	8	7	13	15	8	18	10	8	8	11	32	10	10	10	14	10	6	11	6	13	8	8	10	8	16
Not very corrupt	2	2	3	2	1	1	2	7	1	3	1	6	1	3	1	4	3	0	2	2	2	4	2	4	NA	NA
Not at all corrupt	1	1	0	1	1	1	2	NA	5	1	1	NA	1	1	3	NA	1	0	1	0	1	NA	0	1	NA	2
[Binance Pardon] Do you see these events as …
Very corrupt	58	88	20	68	75	53	77	69	61	54	62	73	62	56	71	59	57	54	57	58	54	66	94	18	68	63
Somewhat corrupt	19	8	28	17	21	22	8	14	14	22	17	NA	18	19	23	22	18	15	17	23	18	18	5	32	19	26
Not very corrupt	12	2	27	9	1	15	3	7	12	12	12	9	11	13	4	10	12	17	10	13	16	6	2	28	4	2
Not at all corrupt	10	1	25	6	3	11	11	10	14	12	9	18	10	11	2	8	12	14	16	6	11	10	0	22	8	8
[Oil Industry Campaign Donations] Do you see these events as …
Very corrupt	54	86	13	62	63	51	73	51	51	50	57	85	56	52	61	57	47	56	52	60	47	59	90	11	73	61
Somewhat corrupt	16	12	21	15	14	14	12	28	14	17	15	NA	16	16	23	19	15	12	14	13	18	17	9	24	17	14
Not very corrupt	15	1	29	17	6	19	4	5	20	16	14	12	14	16	8	12	16	19	17	14	19	8	1	32	4	12
Not at all corrupt	15	1	38	6	17	16	11	16	14	17	14	3	14	16	9	12	22	13	17	13	16	16	0	33	6	12
[Insider Trading] Do you see these events as …
Very corrupt	63	87	36	68	68	60	80	68	54	57	68	76	63	63	68	69	56	65	65	59	62	68	88	32	71	68
Somewhat corrupt	19	11	22	23	18	20	10	16	34	22	16	NA	18	19	20	22	20	14	18	19	18	21	11	28	11	19
Not very corrupt	10	2	21	6	5	12	3	4	6	9	10	24	10	10	6	6	11	13	9	11	11	6	1	20	3	12
Not at all corrupt	9	0	21	3	10	8	7	10	6	12	6	NA	9	8	6	3	14	8	8	11	10	5	NA	20	16	0
[Daines] Do you see these events as …
Very corrupt	44	60	24	46	51	42	53	43	41	43	45	30	43	44	43	43	46	42	41	43	48	38	60	24	60	41
Somewhat corrupt	35	36	31	40	34	34	35	42	30	37	33	38	39	32	47	42	30	28	32	38	31	42	36	33	35	38
Not very corrupt	12	3	21	10	11	13	8	8	15	12	11	18	10	13	10	9	11	15	15	11	13	6	4	20	NA	14
Not at all corrupt	10	1	25	5	4	11	4	8	14	8	11	14	9	11	NA	6	13	15	12	8	8	14	0	22	5	7
Who do you think is more corrupt?
Democratic Party	25	4	58	15	9	29	16	17	20	28	23	12	24	26	14	18	30	31	22	24	26	28	3	55	2	9
Republican Party	33	73	5	28	26	32	45	31	28	30	36	36	38	30	26	36	32	36	34	36	31	34	66	4	21	15
Both are equally corrupt	37	19	33	52	57	35	30	47	46	39	34	44	35	38	56	42	33	29	38	36	38	35	28	37	68	64
Neither	1	0	2	1	2	1	2	2	1	1	1	3	0	2	0	1	1	1	4	0	1	0	0	2	1	1
IDK/Refused	3	3	2	4	7	3	7	3	6	2	5	5	2	4	4	3	3	3	2	4	4	3	2	2	8	11
Do you describe yourself as a man, a woman, or in some other way?
Man	48	37	49	55	50	44	52	56	61	100	NA	NA	48	47	58	53	48	38	46	51	44	50	41	55	57	45
Woman	51	62	50	43	46	54	47	43	37	NA	100	NA	51	51	38	46	52	61	53	47	55	48	58	45	40	54
Some other way	1	1	1	2	4	1	1	2	3	NA	NA	100	1	2	4	1	1	1	1	2	1	1	2	1	4	1
Which of the following best describes your race and ethnic background?
African-American or Black	11	20	5	8	10	NA	100	NA	NA	12	10	11	9	12	6	12	14	8	11	8	16	6	16	5	3	14
Asian-American, South-Asian, or Pacific Islander	1	1	0	1	1	NA	NA	NA	30	1	1	NA	1	0	1	1	1	1	0	0	1	1	1	1	NA	2
Hispanic or Latino	17	20	12	17	18	NA	NA	100	NA	20	14	18	12	20	34	20	18	6	14	7	16	28	18	13	16	27
Native American	0	0	0	1	0	NA	NA	NA	14	1	0	NA	0	0	1	0	1	0	0	0	0	0	0	0	0	1
White or Caucasian	70	57	81	70	69	100	NA	NA	NA	65	74	65	76	66	56	66	65	84	72	83	66	62	64	80	78	53
More than one of the above	1	1	1	2	1	NA	NA	NA	42	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2
Other	0	0	0	1	1	NA	NA	NA	14	0	0	3	0	0	NA	0	0	0	0	0	1	0	0	0	2	1
What is the last year of education or degree you've finished?
1st through 11th grade	1	1	1	1	3	1	1	2	2	1	2	5	NA	2	4	1	0	1	1	1	0	2	0	1	4	4
High School degree or GED	20	21	21	18	21	20	22	20	18	18	21	13	NA	33	26	21	19	18	20	24	21	15	17	19	9	37
Technical or vocational school	6	4	6	8	6	6	3	7	7	7	6	4	NA	10	5	7	6	6	11	9	5	2	6	6	14	6
Some college but no degree	22	23	21	22	26	20	32	26	16	25	19	29	NA	37	27	18	25	22	21	23	22	24	22	23	13	23
Associate's (2 year) degree	11	12	11	9	12	10	11	15	15	8	13	18	NA	18	12	9	11	12	9	9	12	13	11	11	9	10
Bachelor's (4 year) degree	24	22	28	25	14	26	21	18	22	27	22	12	61	NA	22	28	23	22	22	19	24	30	24	27	31	12
Graduate or professional degree	16	18	12	16	17	17	10	10	20	13	18	19	39	NA	5	16	16	18	16	16	16	13	20	12	20	9
In the 2024 election for US President, for whom did you vote?
Kamala Harris	45	92	4	47	35	41	67	47	35	38	50	60	50	41	49	46	42	45	45	46	43	47	100	NA	NA	NA
Donald Trump	41	2	91	31	22	47	19	33	37	48	36	22	40	42	24	38	46	47	38	43	44	38	NA	100	NA	NA
Chase Oliver	1	0	0	3	1	1	NA	3	1	1	1	3	2	1	0	1	1	1	1	0	1	2	NA	NA	33	NA
Jill Stein	2	1	NA	4	8	3	1	0	3	3	2	7	3	2	2	3	2	2	2	3	2	2	NA	NA	67	NA
Did not vote for President	9	4	4	14	29	7	13	14	22	9	10	NA	5	12	19	12	8	5	13	6	10	8	NA	NA	NA	88
Was not eligible to vote for President	1	1	0	1	5	1	0	2	2	1	1	9	0	2	6	0	1	0	0	1	1	2	NA	NA	NA	12
And today, when it comes to politics, do you think of yourself as more of a...
Democrat	29	100	NA	NA	NA	24	55	35	26	23	35	26	30	29	34	27	30	28	35	26	28	30	60	1	8	15
Independent	28	NA	NA	100	NA	29	21	30	46	33	24	31	30	28	27	32	27	27	27	32	28	27	30	22	63	40
Republican	33	NA	100	NA	NA	38	16	25	16	34	32	17	33	32	17	29	34	40	28	30	37	31	3	72	3	14
Something else	7	NA	NA	NA	70	8	6	4	8	8	5	21	6	7	13	9	6	4	5	9	6	9	6	4	23	16
Unsure	3	NA	NA	NA	30	2	2	6	5	2	3	5	2	4	9	3	2	2	5	3	2	3	1	1	4	15
Would you call yourself a strong Democrat or a not very strong Democrat?
Not very strong Democrat	28	28	NA	NA	NA	27	26	30	54	29	27	25	26	29	39	33	30	15	30	29	26	28	24	100	19	67
Strong Democrat	72	72	NA	NA	NA	73	74	70	46	71	73	75	74	71	61	67	70	85	70	71	74	72	76	NA	81	33
Would you call yourself a strong Republican or a not very strong Republican?
Not very strong Republican	22	NA	22	NA	NA	22	16	27	20	21	23	NA	33	15	22	29	14	25	16	25	20	27	76	18	18	43
Strong Republican	78	NA	78	NA	NA	78	84	73	80	79	77	100	67	85	78	71	86	75	84	75	80	73	24	82	82	57
Do you generally think of yourself as closer to...
The Democratic Party	37	NA	NA	37	NA	38	44	31	20	34	39	62	45	31	39	37	34	38	36	39	36	37	63	3	28	27
The Republican Party	25	NA	NA	25	NA	28	4	21	24	30	19	18	25	24	15	23	30	24	21	29	22	27	2	68	9	13
Neither	36	NA	NA	36	NA	32	48	46	52	34	40	16	27	43	40	39	34	35	44	29	39	35	32	27	63	56
Unsure	2	NA	NA	2	NA	2	3	2	3	3	2	3	2	3	5	1	2	3	NA	3	3	2	3	2	NA	4
How often do you pay attention to what's going on in government and politics? All the time, most of the time, about half the time, once in a while, or never
All the time	42	48	40	35	48	42	38	42	32	43	41	39	47	38	28	37	44	48	36	41	42	45	50	39	37	18
Most of the time	34	32	37	37	23	35	36	29	44	36	34	24	38	32	32	42	30	34	38	36	32	35	33	38	27	27
About half the time	16	13	14	21	14	14	18	21	16	16	15	27	12	18	29	14	16	12	17	14	16	16	13	15	26	28
Once in a while	7	4	9	6	14	8	4	8	7	6	8	10	3	10	9	6	9	5	8	8	8	4	2	8	11	24
Never	1	2	1	1	1	1	4	0	1	0	2	NA	0	2	2	1	1	2	1	1	2	NA	2	0	NA	4
In the past 12 months, how often did you discuss political, societal, or local issues with friends or family?
Basically every day	33	34	30	30	45	35	30	26	26	32	33	42	39	29	25	31	34	36	28	37	30	36	38	31	33	17
A few times a week	37	41	37	39	22	37	36	37	46	42	33	24	38	36	37	42	37	33	37	34	39	37	40	37	31	27
A few times a month	15	13	16	18	11	14	17	19	14	12	17	24	14	15	26	15	11	16	15	17	14	14	14	15	15	20
Once a month	4	3	4	4	3	3	2	8	2	4	4	8	3	4	3	5	5	2	5	3	2	6	2	5	5	6
Less than once a month	5	2	6	5	10	5	6	4	9	5	6	NA	4	6	2	4	7	5	5	5	6	4	1	6	5	19
Not at all	6	6	7	5	9	6	9	6	4	5	8	1	2	9	7	4	6	8	10	5	7	4	5	6	10	11
How important is politics to your personal identity?
Extremely important	17	20	17	13	17	16	24	16	16	18	16	20	21	14	13	18	16	17	12	16	20	16	20	17	16	3
Very important	22	27	21	18	18	22	20	20	13	22	22	22	23	21	19	25	18	24	26	18	20	24	26	20	12	11
Somewhat important	29	31	27	32	17	28	27	30	38	29	28	19	27	30	30	28	27	31	26	31	27	30	31	29	18	20
Not too important	18	13	21	18	19	19	12	16	17	17	18	21	18	17	16	17	22	14	17	19	17	18	12	22	15	24
Not at all important	12	6	13	17	18	12	9	15	11	13	12	3	10	14	14	10	15	11	18	11	13	10	7	12	30	33
IDK/Refused	3	3	1	2	10	2	7	3	5	2	4	14	1	4	7	2	2	3	1	5	3	2	3	1	8	8
Do you consider yourself to be a feminist?
Yes	33	53	11	36	44	35	23	37	23	25	40	75	44	27	52	39	28	28	36	33	29	38	56	11	40	25
No	54	37	78	48	38	53	64	50	57	62	47	15	45	59	35	50	59	57	54	53	58	47	33	77	43	52
IDK/Refused	13	10	11	17	18	13	13	14	20	13	13	10	11	14	14	10	13	15	10	14	13	15	12	12	17	23
Age from voter file.
18-29	11	13	6	10	24	9	6	22	17	13	8	32	7	13	11	NA	NA	NA	10	11	9	14	12	6	7	26
30-44	27	25	24	31	32	26	30	32	26	30	24	22	30	25	NA	27	NA	NA	28	27	25	30	28	25	35	32
45-64	34	35	36	32	28	32	44	36	37	34	34	23	33	34	NA	NA	34	NA	42	33	36	25	32	37	29	29
65+	28	27	34	27	15	34	20	10	20	23	34	22	29	28	NA	NA	NA	28	20	30	30	30	28	32	28	14
Region from voter file.
Northeast	17	20	15	16	16	18	16	15	17	16	17	13	16	17	16	18	21	12	17	NA	NA	NA	17	15	17	22
Midwest	23	20	21	26	27	27	17	10	19	24	21	28	20	24	22	22	22	24	NA	23	NA	NA	23	24	24	17
South	38	36	43	37	28	35	54	37	36	35	40	36	39	37	31	35	40	40	NA	NA	38	NA	36	40	28	39
West	23	24	22	21	28	20	13	39	28	24	22	23	25	21	30	25	17	24	NA	NA	NA	23	24	21	31	23

Methodological Statement

Sampling

We sampled potential respondents from the L2 voter file of registered voters. The population was divided into 36 non-overlapping strata based on race, age, participation in the 2024 general election, party alignment, and educational attainment model category. This stratification schema was used to define a target number of completes for each stratum, sampled inversely proportional to expected response rates based on past surveys, oversampling to allow for variation from these expected response rates. After defining stratification and targets, we then limited the sample to records with cell-phones. We supplemented this text-to-web survey with a sample of Rep Data panelists who had been matched to the voter file, to mitigate concerns over coverage of a cell-only sample and other mode-specific non-response biases. We then reconstructed which sampling strata these Rep Data panelists belonged to based on voter file data.

Fielding

The text-to-web and live interviewer surveys were fielded from Thursday, April 9, 2026 through Sunday, April 12, 2026. The first day of fielding was a “soft launch” limiting the number of records. We then activated the DRASS sampling system to adjust for relative non-response across sampling strata. We also set quotas matching target numbers for the completed responses by strata, such that we did not initiate any new surveys to respondents from strata where the quotas had been met, but did not terminate respondents after their respective stratum-level quota had been met either.

We checked for duplicate records in the text sample and found none, resulting in a final total of 1044 completed interviews via text-to-web.

The panel-to-web surveys were from a list of registered voter targets from Rep Data, who matched their panelists to the L2 voter file, limiting the respondents to those who were affirmatively matched. These panelists were then interviewed from Wednesday, April 8, 2026 through Monday, April 13, 2026, with quotas in place matching the sample stratification targets. These responses were then matched back to the L2 file, appending the demographic necessary to reconstruct their sampling strata. We completed 495 interviews via panel-to-web fielding, for a combined mixed-mode sample of 1539 interviews.

Weighting

We first created base weights by rake weighting the text-to-web sample back to stratification benchmarks using fields associated with the respondents in the voter file. We then use these weights to estimate the frequency of survey taking, creating bins. Then we rake weight the panel-to-web responses using both the distribution of strata and this binned estimate of survey response frequency to create base weights for the panel-to-web survey. Finally, with these base weights as starting values, we pool the data together and rake the combined sample to the strata distribution, survey response frequency, census region, race, educational attainment, gender using self-reports, and party affiliation using self-reports. Weighting targets for census region, race, educational attainment, gender, and party affiliation are derived from the Pew NPORS survey conducted January 2025. Weights were trimmed at the 5th and 95th percentiles.

After accounting for the Kish 1+L approximation of the design effect from weighting, the margin of error is 1.62 percentage points.

Other Disclosures

This survey of registered voters in the United States was paid for by Survey 160 as part of our ongoing methodological research initiatives. All estimates of public opinion have sources of error beyond that which is captured by the margin of error, including non-ignorable (post weighting) non-response error, frame and coverage error, measurement error and processing error.

Survey Instrument

Right Direction / Wrong Direction

Q1: Right/Wrong Direction

First, do you think things in the United States are generally going in the right direction or the wrong direction?

Right direction
Wrong direction
Don't know / No Opinion / Not Sure
Refused

Attention Barometer

Q2: Attention Barometer

In a few words, what news story caught your attention this week? News can be anything you follow, whether local TV, websites, podcasts, or social media, on any topic like sports, entertainment, or politics. We just want to know what caught your attention. If you can't think of anything specific, that's okay, just say so. Please reply in your own words.

[Open end]

Presidential Job Approval & Favorability

Q3: Presidential Job Approval (Donald Trump)

Do you approve or disapprove of the way Donald Trump is handling his job as president?

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Don't know / No Opinion / Not Sure
Refused

Q4: Generic Ballot

If the 2026 election for US Congress were held today, would you support the Democratic candidate or the Republican candidate on the ballot?

The Democratic Candidate
The Republican Candidate
Don't know / No Opinion / Not Sure
Refused

Experiment Module: Corruption Evaluations

Q5: Open-Ended Corruption

Now to a different topic, we are interested in how you view political corruption. In a few words, can you give an example of something you see as corrupt in government?

[Open end; half of respondents randomly limited to 160 characters]

Q6 Instructions: Next we are going to ask you about three recent events that some people have called corrupt. For each, we want you to tell us whether you see these events as very corrupt, somewhat corrupt, not very corrupt, or not at all corrupt. [3 of 6 vignettes randomly selected and ordered]

Q6a: Cuellar

In May 2024, longtime Texas Democratic Congressman Henry Cuellar and his wife Imelda were indicted on charges of accepting approximately $600,000 in bribes from an Azerbaijani state-owned energy company and a Mexican bank. Prosecutors alleged the bribe payments were laundered through sham consulting contracts and shell companies, and that Cuellar used his congressional position to advance the interests of these foreign entities. Two of his political associates pleaded guilty.

Very corrupt
Somewhat corrupt
Not very corrupt
Not at all corrupt

Q6b: Menendez

In 2023, Democratic New Jersey Senator Bob Menendez and his wife were charged with accepting hundreds of thousands of dollars in bribes—including gold bars and envelopes of cash—from three New Jersey businessmen. Prosecutors alleged that in exchange, Menendez used his role as Chairman of the Senate Foreign Relations Committee to benefit the governments of Egypt and Qatar. He was convicted on 16 counts in July 2024 and sentenced to 11 years in prison in January 2025.

Very corrupt
Somewhat corrupt
Not very corrupt
Not at all corrupt

Q6c: Binance Pardon

Republican President Donald Trump recently pardoned Changpeng Zhao, the founder of the cryptocurrency platform Binance who had pled guilty in 2024 for violating US money laundering laws. The week after the pardon was issued, Binance announced it would begin allowing trading of two cryptocurrency coins that are issued by a company co-founded by Trump and his sons. Earlier this year, Binance accepted a $2 billion investment from a United Arab Emirates investment fund in one of those Trump-company crypto-currency coins. When asked about the pardon, the White House spokesperson said "The President has exercised his constitutional power to pardon Mr. CZ, who was prosecuted during the Biden administration's war on cryptocurrency."

Very corrupt
Somewhat corrupt
Not very corrupt
Not at all corrupt

Q6d: Oil Industry Campaign Donations

In April 2024, then-former Republican President Donald Trump asked oil industry executives last month to donate $1 billion to aid his presidential campaign. Giving $1 billion would be a "deal," Trump said, because of the taxation and regulation they would avoid thanks to him, according to the reporting in the Washington Post. At a separate fundraiser featuring donors from the oil and gas industry, Trump promised to lower barriers to mergers if re-elected. Two executives who reportedly attended Trump oil industry fundraisers this spring later made significant contributions to Trump-aligned political committees—something they had not done in previous presidential cycles.

Very corrupt
Somewhat corrupt
Not very corrupt
Not at all corrupt

Q6e: Insider Trading

Traders placed nearly half a billion dollars in bets on falling oil prices just 15 minutes before Republican President Trump's announcement of "productive" talks with Iran sent prices tumbling. On Monday, the unusually large bets in the oil future markets, worth roughly $580 million, came just minutes before Trump took to social media to declare that he was postponing his threatened strikes on Iran, an announcement that caused oil prices to fall and stock futures to jump. The trades seemed reminiscent of an anonymous bet on Polymarket in January that saw one lucky user win $436,000 by betting on Venezuelan President Nicolás Maduro's ouster just hours before he was captured by U.S. forces.

Very corrupt
Somewhat corrupt
Not very corrupt
Not at all corrupt

Q6f: Daines

On March 4, 2026, Montana Republican Sen. Steve Daines dropped his reelection bid with virtually no time to spare before the state's candidate filing deadline, but just enough for his handpicked successor to enter the race. Daines' decision to withdraw appeared to have been intended to dissuade anyone—except his chosen successor, Republican U.S. Attorney Kurt Alme—from joining the race. State campaign filing records show Alme registering his campaign eight minutes before the filing period ended. The incumbent Senator Daines then withdrew his own name five minutes later—exactly three minutes before the filing deadline.

Very corrupt
Somewhat corrupt
Not very corrupt
Not at all corrupt

Q7: Party Corruption

Who do you think is more corrupt?

The Democratic Party
The Republican Party
Both are equally corrupt
Neither
Don't know / No Opinion / Not Sure
Refused

Demographics

Q8: Gender

Do you describe yourself as a man, a woman, or in some other way?

Man
Woman
Some other way

Q9: Year of Birth

In what year were you born? Please respond with a four-digit year.

Q10: Race

Which of the following best describes your race and ethnic background?

African-American or Black
Asian-American, South-Asian, or Pacific Islander
Hispanic or Latino
Native American
White or Caucasian
More than one of the above
Other (please specify)

Q11: Education Level

What is the last year of education or degree you've finished?

1st through 11th grade
High School degree or GED
Technical or vocational school
Some college but no degree
Associate's (2 year) degree
Bachelor's (4 year) degree
Graduate or professional degree

Partisanship

Q12: Vote Choice 2024

In the 2024 election for US President, for whom did you vote?

Democrat Kamala Harris
Republican Donald Trump
Libertarian Chase Oliver
Green Party candidate Jill Stein
Some other candidate (please specify)
Did not vote for President
Was not eligible to vote for President

Q13: Party ID

And today, when it comes to politics, do you think of yourself as more of a …

Democrat → Q14a
Republican → Q14b
Independent → Q14c
Something else
Unsure

Q14a: Strength – Democrat

Would you call yourself a strong Democrat or a not very strong Democrat?

Strong Democrat
Not very strong Democrat

Q14b: Strength – Republican

Would you call yourself a strong Republican or a not very strong Republican?

Strong Republican
Not very strong Republican

Q14c: Party ID Lean

Do you generally think of yourself as closer to …

The Democratic Party
The Republican Party
Neither
Unsure

Q15: Feminist

Do you consider yourself to be a feminist?

Yes
No
Don't know / No Opinion / Not Sure

Political Interest / Attention

Q16: Political Attention

How often do you pay attention to what's going on in government and politics?

All the time
Most of the time
About half the time
Once in a while
Never

Q17: Political Talk

In the past 12 months, how often did you discuss political, societal, or local issues with friends or family?

Basically every day
A few times a week
A few times a month
Once a month
Less than once a month
Not at all

Q18: Importance of Politics to Identity

How important is politics to your personal identity?

Extremely important
Very important
Somewhat important
Not too important
Not at all important
Don't know / No Opinion / Not Sure

Q19–21: Embargoed

Q22: Other Polls

Sometimes, people answer multiple polls from different survey organizations. Besides this poll, how many polls have you answered in the last month? Please reply with a specific number, and if you cannot recall exactly, please just give your best guess.

Q23: Income

Finally, last year, that is in 2025, what was your total family income from all sources, before taxes?

Less than $30,000
$30,000 to less than $40,000
$40,000 to less than $50,000
$50,000 to less than $70,000
$70,000 to less than $100,000
$100,000 to less than $125,000
$125,000 to less than $150,000
$150,000 or more

Pedro Antenucci and Kevin Collins