Table 3.

Associations with turnout at the local-level from bivariate logistic regression models – Demographics and Other Resources (n=799)

	Coefficient (se)	p-value
City (Ref=Minneapolis)
Raleigh	−0.21 (0.14)	0.140
Education (Ref=Less than HS)
High school degree	−0.06 (0.21)	0.779
Some college	0.09 (0.23)	0.691
College degree or more	0.47 (0.24)	0.049
Race (Ref=White)
Black	0.74 (0.21)	<0.001
Native/Asi an/Mixed/Other	0.45 (0.28)	0.109
Age (Ref=18–29)
30–39	0.73 (0.21)	0.001
40–49	0.70 (0.23)	0.002
50+	1.38 (0.20)	<0.001
Sex (Ref=female)
Male	−0.55 (0.15)	<0.001
Marital Status (Ref=Married/Partnered)
Single	−0.24 (0.20)	0.241
Commute time (Ref=≤15 minutes)
16–30 minutes	−0.10 (0.17)	0.533
>30 minutes	−0.08 (0.18)	0.636
Working time (continuous)	−0.01 (0.01)	0.067
Household income (Ref=≤$5,000)
$5,001 to $10,000	0.10 (0.21)	0.611
$10,001 to $20,000	0.19 (0.20)	0.311
More than $20,000	0.36 (0.20)	0.077

Notes: Table displays the results from individual bivariate logistic regression analyses for each demographic and other resource variable. Table shows coefficients, standard errors in parentheses, and p-values. Commute time refers to the time it takes respondents to travel to their workplace. Working time refers to the number of hours respondents work per week.