The present study aims to explore predictors of quality of life using the data collected by Chick et al. (1994) in western Pennsylvania. A secondary aim is to determine whether rural life is more satisfying than urban life. The data came from a sample of employees in the machining, tool and die industries and a random sample of individuals outside those occupations. This dissertation applies inferential statistical tools, whereas Chick et al.’s (1994) original study only employed descriptive statistics to depict the sample characteristics. Results showed that job satisfaction, leisure satisfaction, community interpersonal and economic satisfaction, agreement on desirability of government interference, degree of negative attitudes toward technology, and age are significant predictors of life satisfaction. Furthermore, regional differences contributed only to one’s satisfaction with living conditions, not other components of quality of life such as satisfaction with one’s macroenvironment or with personal development. One of the most significant contributions of the present study is its insight that life satisfaction has several layers impacted by different factors; future studies are needed to specify particular domains of life satisfaction.