Open Access Honors Program Thesis
It is thought that economies can benefit from developing their members by providing more opportunities. Thus, when populations grow quickly or are large, quality of life may decrease due to fewer opportunities. To test this hypothesis, two studies were used to investigate correlations between population and quality of life variables. The first study considered U.S. states, while the second study examined countries. Population measures included birthrate and population density, as well as population growth rate for countries. State quality of life measures were: graduation rates, GDP, unemployment, poverty, violent crime rate, and income. Country measures were: life expectancy, literacy, GDP per capita, unemployment, and poverty. Findings from state data did not support the hypothesis; however, country correlations were as predicted.
Year of Submission
Department of Psychology
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
1 PDF file (29 pages)
©Jessica M. Young
Young, Jessica M., "Birthrate and Population Density as Predictors of Quality of Life" (2008). Honors Program Theses. 757.