<![CDATA[Awareness of motor vehicle taxpayers can increase regional income; therefore, it is necessary to analyze a method to see the magnitude of the influence of taxpayer factors. Traffic accidents, the number of motorized vehicles, the number of workers, and the number of violation cases that occur are factors applied to quantile regression in this study. The research was carried out by collecting secondary data at BPS Blitar City in 2012–2021 regarding the number of traffic accidents, the number of motorized vehicles, the number of employees, and the number of cases of violations that occurred. Data processing using quantile regression is used because the data for 2012–2021 on the vehicle tax payer factor in Blitar City is normally distributed. From the research results, there are 3 factors that are positively correlated and 1 factor that is negatively correlated. From the resulting quantile regression model, it can be concluded that every decrease in the number of traffic accidents and decrease in the number of motorized vehicles will reduce the results of motor vehicle taxpayer collections. Meanwhile, increasing the number of employees and the number of traffic violations will increase the results of motor vehicle tax collections.]]>
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