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What is Racial Profiling?
From Disparities to Discrimination
Case Study Eugene Oregon
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arrested Asian drivers benchmark black and Latino black drivers black male Chi-square tests compared to white Contraband Found criminal profiling differential offending discretionary search district five district four District of Stop drivers ages 16 drivers experienced drivers in terms drivers stopped drivers were stopped drug EPD Vehicle Stop equipment violations Eugene Register-Guard experience a discretionary inclusive Lane County language barrier larger percentage Latino drivers Latino female Latino male law enforcement Logistic regression missing data modified stop rates odds ratios passenger violations Patrol District percentage of Asian percentage of white percentages of black police pretext stop race/ethnicity racial profiling racial/ethnic groups rates for white reason for stop regression analysis Search Indicator Present search success rates smaller percentage statistically significant stopped for traffic stopped in district stops involving stops per 1000 Table traffic violations University of Oregon vehicle stop data white drivers white female drivers white male drivers white male residents Whren