This research explains the variance in voter turnout and ballot roll-off in county and circuit nonpartisan judicial elections in Florida from 2014 and 2016. Based on theory, a collection of constituent (demographic and socioeconomic), candidate, competition, and contextual variables is gathered to construct four regression models. Two full regression models were constructed for turnout and roll-off and analyzed using SPSS software, in addition to two best regression models analyzing five statistically significant variables found within each full model. Presidential year elections and higher populations age 65 and up had positive impacts on voter turnout, while primary elections, campaign expenditures, and populations of minor (other) party registered voters had statistically significant negative effects on turnout. Increases in ballot roll-off were associated with presidential year elections, and populations with more college degrees, higher median household income, and higher percentages of voters registered with no party affiliation or minor political parties. Roll-off decreased in primary elections. While various contextual, competition, and constituent variables had significant impact on both turnout and roll-off in Florida judicial elections, candidate characteristic variables had no significant impact on differences in voter turnout and ballot roll-off.