Voter Disenfranchisement and Policy toward Election Reforms

How did poverty, race, population density, and other demographic characteristics affect disenfranchisement in the 2004 presidential election? I argue that there are two types of disenfranchisement: partisan disenfranchisement, which targets Democrats, and structural disenfranchisement, which targets members of low‐status groups. Drawing demographic data from the United States census in 2000, and voting data from the secretaries of state websites, I use a negative binomial regression to correlate these variables with the incidence of voter disenfranchisement as collected by the Election Incident Reporting System, for the three “swing” states of Florida, Ohio, and Pennsylvania, with the “safe” states of California and Texas as controls. The results of this analysis indicate that disenfranchisement increases with population density, Black population, Democratic loyalty, and as the margin of victory decreases. Income and education also correlate with an increase in reported incidents of disenfranchisement, but that likely reflects the failings of self‐report data.