Table 2.

Odds ratios from weighted logistic regression models predicting whether a crash associated with personal injury in NASS-GES (2002–2008) would also be associated with fatal injury.

Characteristic	Model 1: Including county RUCC	Model 2: Excluding county RUCC
Sampled crashes	227,014	227,014
Weighted crash total	12,608,943	12,608,943
Baseline odds	0.000700	0.000737
	OR (95% CI)	OR (95% CI)
Age 0–14 vs. 15–39	0.71 (0.56–0.91)	0.72 (0.56–0.92)
Age 40–65 vs. 15–39	1.74 (1.53–1.99)	1.75 (1.53–2.00)
Age 65–79 vs. 15–39	3.04 (2.60–3.55)	3.05 (2.62–3.56)
Age 80+ vs. 15–39	3.78 (2.99–4.79)	3.79 (2.94–4.89)
Male	1.70 (1.56–1.84)	1.70 (1.56–1.85)
Pedestrian	20.60 (16.3–26.1)	19.93 (15.3–26.0)
Motorcyclist	2.65 (2.14–3.28)	2.59 (2.05–3.26)
Unbelted	3.14 (2.76–3.57)	3.23 (2.80–3.71)
Ejected	8.31 (7.17–9.63)	8.24 (7.10–9.57)
High speed	2.68 (2.18–3.29)	2.80 (2.45–3.20)
Vehicle rolled	1.52 (1.36–1.70)	1.52 (1.38–1.67)
Severe damage	2.92 (2.59–3.30)	2.96 (2.64–3.32)
>=2 vehicles vs. 1 vehicle	0.88 (0.78–0.99)	0.85 (0.76–0.95)
Head-on crash	2.58 (2.15–3.09)	2.71 (2.36–3.11)
12PM – 6AM	1.73 (1.59–1.88)	1.66 (1.50–1.85)
>=2 injured persons	2.24 (2.03–2.49)	2.25 (2.03–2.50)
>=3 injured persons	1.66 (1.49–1.85)	1.67 (1.50–1.86)
>=4 injured persons	1.29 (1.05–1.60)	1.28 (1.03–1.59)
>=5 injured persons	1.82 (1.41–2.35)	1.80 (1.41–2.29)
RUCC 4–5 vs. RUCC 1–3	1.26 (1.01–1.58)
RUCC 6–7 vs. RUCC 1–3	1.42 (0.88–2.30)
RUCC 8–9 vs. RUCC 1–3	1.91 (1.65–2.21)

OR=Odds Ratio, CI=Confidence Interval, RUCC=Rural-Urban Continuum Code.