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This study aimed to investigate the impact of people’s sentiments toward border crossings on personal vehicle and pedestrian crossings along the US–Mexico border. This study focused on regional factors and employed data derived from Google Trends as a proxy for people’s sentiments. Monthly data from the first quarter of 2004 to February 2020 were used. Different regression models were used to address stationarity. After controlling for economic conditions and external events, the primary findings are as follows: first, pedestrian and personal vehicle crossings are sensitive to exchange rate fluctuations. Second, the economic cycle has a slightly higher impact on pedestrians than personal vehicle crossings. Third, an increase in the hostile environment toward immigration in the U.S. may negatively impact pedestrian crossings, especially in Texas. Moreover, a rolling regression was used to examine the impact of people’s sentiments on crossings over time.