Table 3. Crash and temporal risk factors for fatal crashes by road user sex.

	Male		Female		Male vs. female
	n (%)	IF^	n (%)	IF^	P *	Cramer’s V	Risk Ratio (CI)
Crash cause
Driver factor	13441 (47.0%)	1.1	4064 (48.3%)	1.1	0.03	0.01	1.03 (1.00–1.06)
Pedestrian factor	8859 (31.0%)	0.9	2617 (31.1%)	0.9	0.78	<0.01	1.01 (0.97–1.04)
Vehicle factor	1041 (3.6%)	1.0	449 (5.3%)	1.5	<0.01	0.04	1.47 (1.32–1.64)
Road factor	1644 (5.8%)	1.0	501 (6.0%)	1.1	0.48	<0.01	1.04 (0.94–1.14)
Hit and run	3627 (12.7%)	0.9	776 (9.2%)	0.7	<0.01	0.05	0.73 (0.68–0.78)
Crash type
Driver/Driver	7886 (30.1%)	1.2	2744 (33.0%)	1.4	<0.01	0.03	1.10 (1.06–1.14)
Driver/Pedestrian	9279 (35.4%)	0.8	2806 (33.8%)	0.8	0.01	0.02	0.95 (0.92–0.99)
Driver mainly	9019 (34.4%)	1.0	2765 (33.3%)	1.0	0.05	0.01	0.97 (0.93–1.00)
Vehicle type
Light vehicle	21168 (76.4%)	1.0	6519 (75.1%)	1.0	0.02	0.01	0.98 (0.97–1.00)
Public transport	3389 (12.2%)	1.0	1555 (17.9%)	1.4	<0.01	0.07	1.47 (1.39–1.55)
Heavy vehicle	2630 (9.5%)	1.1	550 (6.3%)	0.7	<0.01	0.05	0.67 (0.61–0.73)
Motorcycle	539 (1.9%)	1.0	56 (0.7%)	0.3	<0.01	0.04	0.33 (0.25–0.44)
Day period
Night	17917 (57.5%)	1.0	4374 (47.3%)	0.9	<0.01	0.09	0.82 (0.80–0.84)
Day	13222 (42.5%)	1.0	4869 (52.7%)	1.2	<0.01	0.09	1.24 (1.21–1.27)
Week period
Long Weekend	3952 (12.7%)	1.0	1203 (13.0%)	1.1	0.42	<0.01	1.03 (0.97–1.09)
Weekend	16078 (51.6%)	1.0	4465 (48.3%)	1.0	<0.01	0.03	0.94 (0.91–0.96)
Weekday	11109 (35.7%)	1.0	3575 (38.7%)	1.0	<0.01	0.03	1.08 (1.05–1.12)
Vacation period
Non-vacation	22096 (71.0%)	1.0	6485 (70.2%)	1.0	0.14	<0.01	0.99 (0.97–1.00)
Vacation	9043 (29.0%)	1.0	2758 (29.8%)	1.0	0.14	<0.01	1.03 (0.99–1.07)

* 2-tailed P-value, based on Yates corrected Chi-Square

^ Impact Factor