The reason the dataset contains these variables is the fact that lack of health insurance itself is a major influencing factor for access to healthcare. It is directly correlated with the other socioeconomic factors (variables). At the same time, other variables play a direct role in limiting access to health services and so, they behave as confounders in assessing the impact of health insurance on healthcare accessibility.
Because of this scenario, the uninsured status and other socioeconomic variables contained in this dataset were created to help decision makers to evaluate the weight of every variable with regard to healthcare access limitation, avoidance of confounding effects, and prioritization of actions in order to mitigate the effects on the population’s health status. The estimated data for the socioeconomic variables could be used at tract level, at county level or at state level with mention of the homologous name of counties and states.
The source of the original dataset is CDC (Centers for Disease Control and Prevention), which releases an updated dataset every 5 years, the next update is expected to be published in 2020. The original dataset contains all the relevant data used for 2014 Social Vulnerability Index (SVI) assessment. The original dataset (published by CDC) is based on the data collected by American Community Survey for the time period 2010-2014. ACS offers estimates for 1, 3 and 5-year periods, the most accurate estimate is based on the data from 5 years.
Each variable is doubled by its margin of error (MOE), which could help in determining the confidence interval, by subtracting and by adding the margin of error value to the estimated value for a variable. The dataset could be useful in assessing the impact of household characteristics and disability status in relation to access to healthcare, population health status and health insurance status.