Tulsa
Other
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
Democrat
Independent
Total
Republican
This survey was conducted from October 13 - 15, 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
48
1
14
11
0
8% 23%
49%
270
230
93
123
29
57
73
88
115
139
170
101
151
79
10
21
35
39
49
61
88
51
57
20
37% 37% 49% 44% 43% 44%
52%
51%
38%
25%
18
382
1
178
9
1
3
1
48
19
22
19
4
9
40% 21%
42%
197
178
125
76
84
56
Kevin Stitt, the Republican Count
216
190
Column % 43%
69%
34% 53%
6% 47%
30% 100%
39% 47% 45%
Joy Hofmeister, the Democrat Count
217
Column % 43%
26
0
16% 84% 55%
45
147
0%
138
80
51% 35%
71
61
36
73
48
41% 56% 35% 39% 38% 51%
12
32
26
34
43
36%
36%
48%
61%
153
5
0
84% 40%
15
51%
0%
9
10
53% 48%
25
46%
91
73
54
46% 41% 43%
Natalie Bruno, the Libertarian Count
5
4
0
1
0
2
3
1
0
0
3
0
1
3
2
0
0
0
1
0
0
Column %
1%
1%
0%
1%
40%
1%
1%
4%
0%
0%
3%
0%
0%
2%
2%
0%
0%
0%
0%
0%
0%
3
0
4
0
0
2% 14%
1
0%
2%
0%
0%
Ervin Yen, an Independent Count
9
5
3
1
0
7
2
0
1
0
1
6
1
2
1
3
2
0
8
1
0
0
0
0
4
3
2
Column %
2%
2%
2%
3%
11%
3%
1%
0%
2%
0%
1%
5%
1%
1%
1%
2%
3%
0%
2%
12%
0%
0%
1%
0%
2%
1%
2%
LEAN Stitt Count
11
11
0
0
0
6
4
1
0
6
1
2
1
3
1
3
3
0
10
0
0
1
0
0
6
4
1
Column %
2%
4%
0%
0%
0%
2%
2%
3%
0%
8%
1%
2%
1%
2%
1%
2%
4%
0%
3%
0%
0%
1%
0%
0%
3%
2%
1%
LEAN Hofmeister Count
12
2
6
4
0
5
7
4
1
3
3
1
1
6
1
4
2
1
10
1
0
1
0
0
8
1
4
Column %
2%
1%
3%
9%
0%
2%
3%
13%
2%
4%
3%
1%
1%
3%
1%
2%
3%
5%
3%
7%
0%
2%
0%
2%
4%
0%
3%
LEAN Bruno Count
2
2
0
0
0
2
0
0
0
1
1
0
0
0
0
1
1
0
2
0
0
0
0
0
0
2
0
Column %
0%
1%
0%
0%
0%
1%
0%
0%
0%
1%
1%
0%
0%
0%
0%
1%
1%
0%
0%
0%
0%
0%
0%
0%
0%
1%
0%
LEAN Yen Count
5
3
0
1
0
4
1
0
0
1
1
3
0
3
1
1
1
0
5
0
0
0
0
0
1
4
1
Column %
1%
1%
0%
3%
0%
2%
0%
0%
0%
2%
1%
3%
0%
2%
1%
1%
1%
0%
1%
0%
0%
0%
0%
0%
0%
2%
0%
1
3
2
7
9
8
2% 16%
10%
3%
5%
6%
82
88
57
Refused/Undecided Count
23
16
5
3
0
13
10
1
1
1
6
10
4
4
7
9
2
1
16
0
0
Column %
5%
6%
3%
5%
0%
5%
4%
3%
2%
1%
7%
9%
3%
3%
7%
6%
3%
5%
4%
0%
0%
14
11
0
100
127
11
21
41
39
51
62
91
53
60
23
1
188
3
1
8% 23%
49%
40% 37% 57% 45% 45% 45%
54%
52%
40%
29%
NET Stitt Count
227
201
Column % 45%
72%
37% 55%
6% 49%
30% 100%
4
9
41% 21%
20
42%
42% 49% 46%
NET Hofmeister Count
230
Column % 46%
30
0
17% 88% 64%
47
152
0%
143
87
53% 38%
72
66
37
76
50
54% 58% 39% 42% 38% 52%
15
33
28
37
44
39%
37%
51%
63%
162
5
0
89% 42%
16
58%
0%
9
10
54% 48%
26
48%
99
74
57
50% 41% 46%
NET Bruno Count
6
6
0
1
0
4
3
1
0
1
4
0
1
3
2
1
1
0
3
0
0
Column %
1%
2%
0%
1%
40%
1%
1%
4%
0%
1%
4%
0%
0%
2%
2%
1%
1%
0%
1%
0%
0%
3
0
4
2
0
2% 14%
1
0%
2%
1%
0%
NET Yen Count
14
8
3
3
0
11
3
0
1
1
2
9
1
5
2
4
3
0
13
1
0
0
0
0
5
6
3
Column %
3%
3%
2%
6%
11%
4%
1%
0%
2%
2%
2%
8%
1%
3%
2%
3%
3%
0%
3%
12%
0%
0%
1%
0%
3%
3%
2%