The purpose of the current study was to identify if positive affect, resilience, and student type were predictors of subjective happiness in undergraduate commuter and non-commuter students. Since there is limited research on the population of commuter students, the current study added to the literature. Using a quantitative methodology, 314 undergraduate college students between the ages of 18 and 24 were recruited by the survey platform Qualtrics to complete 3 instruments: the Oxford Happiness Questionnaire (OHQ), the Positive and Negative Affect Schedule (PANAS), and the Connor-Davidson Resilience Scale (CD-RISC). The participants also were asked if they identified as commuter or non-commuter students based on definitions provided on a demographic questionnaire. Through the use of a multiple linear regression, the results showed the combination of positive affect, resilience, and student type predicted subjective happiness (r = 0.791, p < 0.001) with 62.6% of the variance due to the 3 predictor variables. Positive affect was seen to be a unique predictor of subjective happiness with t(310) = 9.318, p < 0.001. Resilience was also seen to be a unique predictor of subjective happiness with t(310) = 6.220, p < 0.001. Student type was not a unique predictor of subjective happiness with t(310) = 0.72, p = 0.472. Through the use of a stepwise regression, the combination of positive affect and resilience were shown to best predict subjective happiness for the students, accounting for 62.6% of variance. Future research should continue to examine the needs of both noncommuter and commuter students as well as implement programs that could help them succeed. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]