A quantitative, non-experimental, retrospective, cross-sectional survey was conducted to determine whether a statistically significant difference existed in United States consumers' understanding of health insurance terminology and concepts between consumers who obtained their current or previous health insurance coverage from different sources. The study was also conducted to determine if the predictor variables consumer education level, consumer ethnicity, consumer employment status, consumer language proficiency, and the consumer's state of residence correlated to consumer health insurance selection. A multiple regression analysis was used to examine a retrospective data set to find the relationship of the criterion variable (consumer understanding of the health insurance terminology) with multiple predictor variables (consumers' previous health insurance experience, consumers' education level, consumers' ethnicity, consumers' employment status, consumers' language proficiency, and state of residence). The quantitative analyses showed that there was evidence that the variables consumer education and consumer ethnicity were strong predictors of consumer understanding of health insurance terminology. The findings of this study justified recommendations for future research of the health insurance literacy consumer education programs that are currently being used and will be used in the future to support consumers in making an appropriate healthcare policy selection, the review of other first world countries health insurance literacy, and future studies using qualitative methodology that would include personal interviews of the study participants. A final recommendation was that further research on how to make the health insurance model more understandable for consumers of every level of education.