Table 2:

Adjusted prevalence ratio (weighted) of having employer-sponsored and government-sponsored insurance among Ontarians in 2013–2014*

VariableAdjusted PR (95% CI)
Employer-sponsored insuranceGovernment-sponsored insurance
Age, yr
 12–19 v. 40–641.31 (1.13–1.52)0.67 (0.63–0.72)
 20–39 v. 40–640.95 (0.91–0.99)0.72 (0.66–0.77)
 65–74 v. 40–640.59 (0.57–0.61)0.85 (0.68–1.05)
 ≥ 75 v. 40–640.47 (0.39–0.56)1.02 (0.72–1.45)
Male v. female sex0.98 (0.93–1.03)1.00 (0.97–1.04)
Highest level of education in household
 Less than secondary school graduation v. secondary school graduation0.79 (0.75–0.84)1.27 (1.06–1.53)
 Some postsecondary school v. secondary school graduation1.05 (0.95–1.16)1.23 (0.96–1.57)
 Postsecondary school graduation v. secondary school graduation1.12 (1.08–1.16)0.84 (0.67–1.05)
Marital status
 Widowed v. married/common-law0.88 (0.72–1.07)0.82 (0.77–0.87)
 Separated/divorced v. married/ common-law0.86 (0.76–0.97)1.21 (1.10–1.32)
 Single/never married v. married/ common-law0.70 (0.60–0.81)1.60 (1.30–1.96)
Household income
 Below middle level v. above middle level0.37 (0.35–0.40)3.64 (3.37–3.93)
 Middle level v. above middle level0.82 (0.78–0.85)1.25 (1.06–1.47)
Ethnic background
 Non-White v. White0.95 (0.87–1.04)0.78 (0.58–1.06)
 Aboriginal v. White0.91 (0.83–0.99)3.26 (2.81–3.79)
 Immigrant v. nonimmigrant0.87 (0.86–0.89)0.69 (0.64–0.74)
  • Note: CI = confidence interval, PR = prevalence ratio.

  • * All variables in the table were included in the regression model. Therefore, except for the variable being examined, all other variables were adjusted for.

  • Coverage provided by employers, unions, trade associations or student organizations, which usually have group policy numbers by which insured people in the affiliated organization can be identified. The unweighted sample sizes were 19 085 (insured) and 35 056 (total).

  • Government subsidies provided to those registered with specific programs (e.g., Ontario Works, Ontario Disability Support Program, Non-Insured Health Benefits program) or who identify with specific populations (e.g., veterans, refugees, First Nations, Inuit). The unweighted sample sizes were 3203 (insured) and 19 174 (total).