The data analysis conducted by myself and Dr. Reynolds sought to answer a question on the topic of property tax salience: do voters truly understand the types of property taxes which appear on the ballot in local elections, and are they fully aware of the effects of such taxes in order to vote in their own self-interest? This question is fundamentally important to local elections and the improvement of our local school districts, as much of the income acquired from property taxes goes towards the funding of school districts. The data was all released voting data on local school levies from the 600+ school districts in Ohio dating back to 2003, and included variables such as percent who voted for the levy, total millage, total millage categorized by type of levy, and dummy variables for levy type, as well as categorical variables such as district name and county. Thus far, initial regression analyses have been completed using SAS. Our regression results allowed us to come to the preliminary conclusion that people are unaware of types of levies and the general setup of the property tax collection and distribution system. These initial results led to conclusions which have formed a solid foundation for future research that delves deeper into this topic.