Table 2

Bivariate analyses

VariableType of householdRespondentsStatistics
FireNon-fire
Type of housing (%)
 Detached single-family home65.171.13013F=5.4795; p=0.0193
 Other home types34.929.1
Type of ownership (%)
 Own65.877.53010F=19.6608; p<0.0001
 Rent34.222.5
Mean house age (years)27.527.72940t=0.17; p=0.8617
Mean number in household
 All ages3.272.832957t=5.70; p<0.0001
 Under 181.130.74t=5.83; p<0.0001
  Under 50.490.27t=5.11; p<0.0001
 18–642.051.82t=4.76; p<0.0001
 65+0.080.28t=8.31; p<0.0001
Household income (%)2565F=2.2612; p=0.1043
 $34 999 or lower36.130.8
 $35 000–$74 99931.936.6
 $75 000 or more32.032.6
Household head education (%)2967F=5.2935; p=0.0012
 High school grad or less24.734.1
 Some college18.218.4
 College graduate36.931.9
 Postgraduate20.115.6
Mean number of smokers in the household (people)0.520.423029t=1.89; p=0.0586
Ethnicity (%)
 Hispanic/Latino versus non-Hispanic11.59.42948F=1.5168; p=0.2182
Race (%)
 Caucasian versus Non-Caucasian79.783.02879F=2.4880; p=0.1148
  • All tests are two-tailed tests. See text for methods. The survey asked about income in four categories: <$15 000, $15 000–$34 999, $35 000–$74 999; and $75 000 and over. Table 2 collapsed the lowest two categories. The results also were not statistically significant when applied to the original categories. Race variables in the survey questionnaire included Caucasian, Black or African–American, Asian, Native Hawaiian or Pacific Islander, American Indian, Alaskan Native or other (specify). Sample sizes were too small for a more detailed racial breakdown in the bivariate analysis. Other housing types included mobile or manufactured home, townhouse or row house, two-family dwelling, apartment building, condo and other. These were also grouped together because of the small number of responses in some housing categories.