The next variable in the County Health Rankings updated is Flu Vaccinations. The data is from 2023 from the Medicare database for Medicare enrollees. The overall flu vaccination rate for the state was 52% which was higher than the U.S. rate of 44%. Potter county had the lowest rate at 26%. Montgomery had the highest […]

Last week I posted on 2 factor analyses of the health resources and services administration’s unmet need score map tool for zip codes in the Alleghenies and Pennsylvania as a whole. There were minimal differences between the regions on the two largest factors (health behaviors and mortality). For this post I am taking a look […]

I have looked at Unmet Need Scores (UNS) in Pennsylvania and the Alleghenies. The UNS is a composite of dozens of related health, social and economic variables. Teasing apart the relationships among the variables one by one is tricky. There is a method that allows for identifying clusters of highly correlated variables called factor analysis. […]

This is the last in the series of County Health Rankings and Trump’s Vote in PA. Accordingly, this post looks at the “Percentage of population identifying as non-Hispanic white. The 2025 Annual Data Release used data from 2023 for this measure.” The question is how does this predict Trump’s vote in Pennsylvania? Altogether the multiple […]

This is the sixth installment in my series on Trump’s vote in PA and County Health Rankings (CHR). This post focuses on Census participation at the county level. It is defined as “Percentage of all households that self-responded to the 2020 census (by internet, paper questionnaire or telephone).” This measures civic engagement. Census participation and […]

This is the 5th post in my series on County Health Rankings variables and Trump’s vote in Pennsylvania. Previously, I posted on the univariate relationship between some college, median income, and Trump’s vote in Pennsylvania counties. When I entered these and other variables into a multiple regression model, median income fell out of the model. […]

This post continues the series on social and health factors associated with Trump’s vote in PA. Subsequently, this post will look at counties in Pennsylvania with severe housing cost burden and Trump’s vote in that county. County Health Rankings defines severe housing cost burden as “the percentage of households that spend 50% or more of […]

This is the next post on my series on County Health Rankings and Trump’s PA county vote regression model. After the number of unhealthy days and flu vaccination, I will focus on the percentage with access to exercise and Trump’s vote. Access to exercise is “percentage of population with adequate access to locations for physical […]

In my last post I reported on how median income and the % having at least some college in a county predicted support for Donald Trump in that county in Pennsylvania. These were univariate correlations with Trump’s vote. One sociologist I know commented that median income would not be significant if I controlled for more […]

With the 2024 election now appearing in our rear view window, it is time to look at what factors predicted Trump’s vote in Pennsylvania. County Health Rankings came out with their most recent (and possibly last) rankings for every county in the U.S. I am taking a look at which factors predict Trump’s % of […]