Data Driven Documents

Correlations Discovered Between Health Risks and Age, Income

Poverty (%) vs. Lacks Healthcare (%): Higher poverty rates are correlated with decreased healthcare coverage by state. The state of Mississippi has the highest rates of poverty and low healthcare coverage in this dataset.

Poverty (%) vs. Smoking (%): Higher poverty rates are correlated with increased smoking rates by state. The state of Mississippi has the highest rates of poverty and a high percentage of smokers in this dataset.

Poverty (%) vs. Obesity (%): Higher poverty rates are correlated with increased obesity rates. The state of Mississippi has the highest rates of poverty and a high percentage of obesity in this dataset.

Median Age vs. Lacks Healthcare (%): States with a younger median age are correlated with decreased healthcare coverage. The state of Texas has a young median age and high percentage of people without healthcare coverage in this dataset.

Median Age vs. Smoking (%): States with an older median population are correlated with increased smoking rates. The state of West Virginia has an old median age and a high percentage of smokers in this dataset.

Median Age vs. Obesity (%): States with an older median population have a modest correlation with increased obesity rates. The state of West Virginia has an old median age and a high obesity rate in this dataset.

Median Household Income vs. Lacks Healthcare (%): States with a lower median household income are correlated with decreased healthcare coverage. The state of Mississippi has the lowest median household income and the lowest healthcare coverage in this dataset.

Median Household Income vs. Smoking (%): States with a lower median household income are correlated with increased smoking rates. The state of West Virginia has a low median household income and a high percentage of smokers in this dataset.

Median Household Income vs. Obesity (%): States with a lower median household income are correlated with increased obesity rates. The state of Mississippi has the lowest median household income and the highest percentage of obesity in this dataset.