Abstract
Although many papers confirm that people living in rural areas are less likely to suffer from depression than those living in urban areas, most of them employed a straightforward linear regression, which is not convincing. Using data from the 2019 National Health Interview Survey (NHIS). This paper first identifies a proxy for depression level through Pearson's Chi-Squared test. Then, using OLS, this paper determined that place of residence had an impact on depression prevalence. To reduce the bias of the estimated the effect of place, this paper employs a propensity score matching method. Finally, the matched sample was retested to see if residence increased the risk of depression. This study suggests that there is a correlation between where you live and depression.