Other
Tulsa
Oklahoma City
Other
Prefer not to say
Asian
Native American
Hispanic or Latino
Black
White
Graduate degree
4 year college degree
Some college but did not finish
Completed high school or less
60-69
70 or older
50-59
40-49
30-39
18-29
Male
Female
Libertarian
Independent
Democrat
Total
Republican
This survey was conducted from September 19 - 21, 2022 and included a pool of 500 likely voters in Oklahoma. These survey results were weighted based on party affiliation, age, gender, and level of education based on Amber Integrated's proprietary 2022 voter turnout modeling. This survey has a margin of error of 4.4% at a 95% confidence interval. It is important to remember that subsets based on party affiliation, gender, age, education, race/ethnicity, and location carry with them higher margins of error, as the sample size is reduced. The poll surveyed both cell phones and landlines and used a combination of live callers and an online sample of likely voters.
In November, there will be a general election for Governor of Oklahoma. If the election were held today which of these candidates would you vote for? [ROTATE]: Kevin Stitt the Republican, Joy Hofmeister the Democrat, Natalie Bruno the Libertarian, or Ervin Yen an Independent. (IF UNDECIDED, ASK:) “Toward whom to you lean? Sample Size
500
277
174
47
1
195
19
8
0
70% 11% 17%
0%
271
229
98
124
29
58
73
88
115
139
170
101
151
79
9
20
31
50
60
53
96
41
58
27
30% 34% 42% 56% 53% 38%
57%
41%
38%
35%
24
396
5
179
6
4
2
2
31
14
24
13
6
15
40% 40%
63%
161
117
222
60
41
121
Kevin Stitt, the Republican Count
222
Column % 44%
36% 54%
21% 45%
35% 58%
37% 35% 54%
Joy Hofmeister, the Democrat Count
207
Column % 41%
22
0
16% 80% 47%
46
139
0%
139
68
51% 30%
76
51
43
70
44
39% 45% 37% 30% 36% 55%
11
26
27
26
41
30%
43%
46%
56%
16
156
69% 39%
4
1
65% 30%
8
3
55% 60%
17
14%
79
65
63
49% 56% 28%
Natalie Bruno, the Libertarian Count
7
1
2
3
1
0
6
0
1
4
0
1
0
3
1
2
0
0
6
0
0
0
0
1
1
2
4
Column %
1%
0%
1%
7%
79%
0%
3%
1%
2%
6%
0%
1%
0%
2%
1%
1%
0%
0%
1%
0%
0%
0%
0%
4%
0%
2%
2%
Ervin Yen, an Independent Count
5
0
1
4
0
1
4
0
3
1
0
1
0
3
0
2
0
0
4
0
0
0
0
1
2
0
3
Column %
1%
0%
1%
8%
0%
0%
2%
0%
5%
1%
0%
1%
0%
2%
0%
1%
0%
0%
1%
0%
0%
0%
0%
4%
1%
0%
1%
0
0
0
0
1
6
5
1
0% 12%
0%
0%
3%
4%
4%
1%
LEAN Stitt Count
12
8
1
3
0
7
5
0
2
1
2
2
4
2
4
4
1
0
11
Column %
2%
3%
1%
7%
0%
2%
2%
0%
4%
2%
2%
2%
3%
1%
4%
3%
1%
0%
3%
LEAN Hofmeister Count
11
7
3
2
0
8
4
0
2
5
3
1
1
0
3
6
2
1
10
0
0
0
0
0
6
2
3
Column %
2%
2%
2%
3%
0%
3%
2%
0%
3%
6%
3%
0%
1%
0%
3%
4%
3%
4%
3%
0%
0%
0%
0%
0%
4%
2%
1%
LEAN Bruno Count
2
1
0
0
0
0
1
0
0
1
0
0
0
0
0
1
0
0
2
0
0
0
0
0
1
0
0
Column %
0%
1%
0%
0%
21%
0%
1%
0%
0%
2%
0%
0%
0%
0%
0%
1%
0%
0%
0%
0%
0%
0%
0%
0%
1%
0%
0%
LEAN Yen Count
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Column %
0%
0%
0%
1%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
9
5
0
17
17
8
4
2
8
9
4
14
8
8
4
1
28
0
0
2
0
3
6
2
27
5% 10%
0%
6%
7%
30%
7%
3%
9%
7%
3%
8%
8%
5%
5%
6%
7%
0%
0%
5%
0%
12%
4%
105
129
9
22
32
51
63
57
98
45
62
28
5
189
2
3
13
6
16
30% 38% 44% 58% 55% 41%
58%
45%
41%
36%
40% 40%
66%
Refused/Undecided Count
35
20
Column %
7%
7%
2% 12%
NET Stitt Count
234
Column % 47%
11
0
73% 12% 23%
202
20
0%
39% 56%
21% 48%
35% 70%
66
46
122
41% 39% 55%
NET Hofmeister Count
218
Column % 44%
24
0
19% 82% 50%
52
142
0%
146
72
54% 31%
77
51
46
75
46
39% 48% 44% 33% 36% 56%
11
28
32
29
42
30%
46%
50%
59%
18
166
73% 42%
4
1
65% 30%
8
3
55% 60%
17
14%
86
67
66
53% 57% 30%
NET Bruno Count
8
2
2
Column %
2%
1%
1%
1
1
8
0
1
6
0
1
0
3
1
3
0
0
8
0
0
0
0
1
2
2
4
7% 100%
3
0%
3%
1%
3%
8%
0%
1%
0%
2%
1%
2%
0%
0%
2%
0%
0%
0%
0%
4%
1%
2%
2%
NET Yen Count
5
0
1
4
0
1
4
0
3
1
0
1
0
3
0
2
0
0
4
0
0
0
0
1
2
0
3
Column %
1%
0%
1%
9%
0%
1%
2%
0%
5%
1%
0%
1%
0%
2%
0%
1%
0%
0%
1%
0%
0%
0%
0%
4%
1%
0%
1%