Lyme disease is the most common vector-borne disease in the United States. Predicting Lyme disease is a complicated process due to its complex transmission cycle. Our goal was to determine if Lyme disease incidence can be predicted using information on mouse populations, specifically mouse trap sales data. We established that trap sales data was correlated with mouse densities and furthermore, we found that trap sales were significant predictors of Lyme cases in 14 states.