One of the top bicycling cities in the United States, Portland, Oregon has used a mixture of bicycle infrastructure to create a cohesive network for bicyclists. Building on their success, in 2010 Portland set forth on an ambitious path to envision their bicycle network in 2030. The primary goal of this plan is to attract the “Interested but Concerned” demographic of bicyclists through an increase of their bicycle boulevard network from 30 miles to 286 miles. However, there has been no direct link between bicycle boulevards and bicycle rates. Therefore, this study analyzes the influence of bicycle boulevards on bicycle-to-work rates using U.S. Census data with Geographic Information Systems data in concert with both ordinary least squares (OLS) regressions and a fixed effects (FE) regression. The OLS and FE models both indicate that there is a statistically significant relationship between bicycle boulevards and bicycle-to-work rates.