2007 National Roadside Survey of Alcohol and Drug Use by Drivers

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2007 National Roadside Survey of Alcohol and Drug Use by Drivers: Drug ResultsTime of DayTable 25. Drug Prevalence by Race/Ethnicity (Oral Fluid)Race/EthnicityN(Unweighted)% Drug Positive(Weighted)African American 267 14.4%Asian 46 4.1%Hispanic 253 8.9%DaytimeWhite 1,192 11.6%Other 59 12.8%Overall Daytime 1,817 11.2%African American 973 20.5%Asian 191 1.8%NighttimeHispanic 1,006 11.8%White 3,355 15.0%Other 272 16.2%Overall Nighttime 5,797 14.6%Race/Ethnic groups other than “Hispanic” are always “non-Hispanic.”Comparisons of drug prevalence by education level (Table 26) revealed that prevalence of druguse increased from the daytime sample to the nighttime sample across all education levels except“some college.” Daytime drivers who identified themselves as college graduates or having somegraduate experience were statistically less likely to be drug-positive than those with lesseducation (p < .01). This remained the case within the nighttime sample, but only for drivers whoidentified themselves as college graduates (p < .01).Table 26. Drug Prevalence by Education Level (Oral Fluid)Time of DayDaytimeNighttimeEducation LevelN(Unweighted)% Drug Positive(Weighted)Not a High School Graduate 162 15.4%High School Graduate 476 15.0%Some College 593 13.9%College Graduate 419 5.5%Some Graduate Work 173 4.1%Overall Daytime 1,823 11.1%Not a High School Graduate 573 18.4%High School Graduate 1,470 22.4%Some College 2,218 11.6%College Graduate 1,156 9.5%Some Graduate Work 387 15.7%Overall Nighttime 5,804 14.6%Comparing drug prevalence by employment status (Table 27) showed that, in the daytimesample, drug prevalence among unemployed drivers and drivers on disability was significantlyhigher than that of employed drivers or homemakers, students and those who reported they were42
2007 National Roadside Survey of Alcohol and Drug Use by Drivers: Drug Resultsretired (p < .01). In the nighttime sample, drug prevalence among drivers on disability was againsignificantly higher than employed drivers (p < .01), while no statistical difference in drugprevalence was found in the nighttime sample between unemployed and employed drivers.Within the nighttime sample, employed drivers had significantly higher drug prevalence than“homemaker” and “retired” drivers (p < .01).Table 27. Drug Prevalence by Employment Status (Oral Fluid)Time of DayDaytimeNighttimeGenderN(Unweighted)% Drug Positive(Weighted)Employed/Self Employed 1,240 10.4%Homemaker 90 4.2%Student 73 7.2%Unemployed 78 21.3%Retired 286 13.9%On Disability 45 38.7%Other 11 30.7%Overall Daytime 1,823 11.1%Employed/Self Employed 4,618 15.0%Homemaker 104 5.9%Student 585 13.2%Unemployed 204 16.8%Retired 205 7.4%On Disability 67 41.2%Other 22 4.3%Overall Nighttime 5,805 14.6%Drug prevalence rates among drivers of various vehicle types (passenger vehicle, pickup, sportsutility vehicles (SUV), van/minivan, and motorcycles) (Table 28) were not statistically differentin the daytime sample. Note, however, that motorcyclists had the greatest percentage of drugpositiveresults in both the daytime and nighttime samples, although this difference was found tobe statistically significant only in the nighttime sample (p < .01).43
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DOT HS 811 249December 2009
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2007 National Roadside Survey of Alcohol and Drug Use by Drivers

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