Long-term stress has been shown to be detrimental for your health. While it’s probably not possible to completely eliminate stress from people’s lives, there are many individual choices and decisions that can influence the amount of stress that people experience, including where they live, what job they have, their socio-economic conditions etc. . . One interesting bit of data analysis looks at an aggregate level to understand how stress differs from state to state depending on specific economic, demographic and other geographic factors.
Click on the buttons below the map to switch between the different categories.
Data and tools: The data comes from Wallethub’s analysis of data from a wide range of sources including the US Census, BLS, CDC etc.. Unfortunately the data used is a ranked list rather than a set of scores. The ranking doesn’t tell you if a state is 10% more stressful or 10 times more stressful, just that one is higher than the other. Click the link for a full description of their methodology and data sources. The choropleth map was created using javascript to parse the data and the plot.ly open source graphing library to visualize it.
The Congressional Budget Office (CBO) released a report that analyzed the impacts of the Senate health care bill and estimated that 22 million Americans would lose health care by 2026 (see previous post). 22 million amounts to almost 7% of the US population (about 1 in 15 Americans). I wondered how the impacts of these changes would be distributed across different states.
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