We can work on Population Trends in Marion and Harrison County

Use the American Factfinder website at https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml to access the most recent ACS five year estimates for a state of your choosing. You will investigate the state for the at least five key areas based on the following data available at this site:

Predominant types of households and families
Population trends from the most recent 5 years
General demographic characteristics/poverty level
Diversity of populations
School enrollment data
Economics
Veteran populations
Ethnic populations and trends

(Note: there are 11 menu items that you can click to find extensive information for the above).

Once you have found the state data, now select two counties and see how the indicators differ. Your paper will address the broader implications. Now determine health risks/health indicators for the state and counties. You can use any of the sources listed in the text chapter (e.g., https://www.cdc.gov/dhdsp/maps/atlas/index.htm or https://www.countyhealthrankings.org/ or any source you can find. How does the health risk/health indicator compare to the demographic information you found on Factfinder? What comparisons can you make?

Once you have found the state data, now select two counties and see how the indicators differ. Your paper will
address the broader implications. Now determine health risks/health indicators for the state and counties. You
can use any of the sources listed in the text chapter (e.g., https://www.cdc.gov/dhdsp/maps/atlas/index.htm or
https://www.countyhealthrankings.org/ or any source you can find. How does the health risk/health indicator
compare to the demographic information you found on Factfinder? What comparisons can you make?
Your paper should have the following:

  1. Introduction (describe your data and why you selected it, it’s relevance, etc. This should about 2-3
    paragraphs or a half page)
  2. Description of State and Counties (here is where you discuss demographics, health status, information
    obtained, etc. Include a map showing location. This part should be one page.)
  3. Health Risks/Health Indicators for the Selected Area (describe what you found how they relate possibly
    to the demographic data—what accounts for the differences between county and state rankings? In
    other words, you are addressing epidemiology. This should be one to two pages)
  4. Implications for Population Health (based on the health factors addressed in part 3, what would be
    desired health outcomes or a strategy to address them? What are the challenges that need to be
    considered?

Sample Solution

specifically in Western Europe, which credited to hysteresis outcomes and rigidities in the labor market (Guillermo & Rodrigo 2008, 147). In the recent period of 1994-2002, it is obvious that inflation rates were minimal, but unemployment rates have raised in Western Europe and dropped in America. It is only around 1973-1983 that high inflation and high unemployment rates were recorded instantaneously. This was described as stagflation. According to Keynesianism criticizers stagflation was an inevitable inheritance of demand management policies associated with Keynesian economics (Baumol and Blinder, 2006) Economists emphasize that there are two principal reasons of stagflation. First, a negative supply shock can decrease the productive ability of an economy. Examples of unfavorable shocks involve a raise in oil prices for an importing nation. Such shocks have an inclination of raising prices and slowing down the economy by the increasing costs of production and reducing lucrativeness at the same time (Guillermo & Rodrigo 2008). The second plausible cause of stagnation is inappropriate macroeconomic strategies. For example, letting an extreme growth in the supply of currency can escalate inflation, and the government can generate stagnation by using intense regulation of goods and the labor market. These two aspects performed an important role in triggering the 1970s worldwide stagflation that led to the fall of Keynesian economics. The stagflation began with huge increases in oil prices and continued, because central banks used the intense simulative monetary policy to solve the recession. The fall of Keynesianism also credited to the fact that many economists did not take into account the probability of stagflation (Blinder, 2013). Historical data pointed out that high unemployment rates were related with low inflation rates and vice versa, as shown in the Phillips curve (Khan Academy, 2017). The theory was that a high demand for goods increased prices, which in turn stimulated companies to employ more people. Likewise, high employment rates augmented demand. During the 1970s stagflation, it became obvious that the link between inflation rates and employment levels was sometimes unstable. As a result, macroeconomists were unconvinced about Keynesianism, eventually steering to the end of the impact of Keynesian theories in economic strategies. Monetarist economists, such as Edmund Phelps and Milton Friedman clarified a shift in the Phillips curve: they maintained that when companies and workers anticipated high inflation, there was a shifting up of the Phillips curve, suggesting that high inflation can occur at any rate of unemployment (Khan Academy, 2017). Unambiguously, they argued that if inflation remained high for many years, workers and companies would begin emphasizing its consequences during wage negotiations, causing in a quick inc>

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