The reason this dataset includes persons belonging to the minority group and those who speak English less than well is because they are more likely with a lower English level, which is a barrier to healthcare. In the same time low English level is a health literacy barrier, which plays an important role in disease prevention and promotion of a healthy lifestyle. The percentage of minorities who are not insured and have financial issues could be greater than those belonging to the majority. This dataset could help in the assessment of factors related to persons ethnicity as determinants of access to healthcare.
The estimated number of minority population, according to ACS, includes: Black or African American, American Indian and Alaska Native alone, Asian alone, Native Hawaiian and other Pacific Islander alone, and Some other race alone, and Two or more races alone, Hispanic or Latino – white alone.
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 the American Community Survey for the time period 2010-2014. ACS offers estimates for 1, 3 and 5-year periods; the most accurate estimate is the one 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 for the assessment of addressability and access to healthcare of persons belonging to minorities, persons who speak English less than well and uninsured noninstitutionalized civilians. At the same time the dataset could serve to assess the compliance to healthy living habits of persons belonging to the first two categories.