The thesis examines post-event displacement of households in the year following Hurricane Harvey. Using data gathered from a three-page mail survey conducted approximately 1-year after the storm, this study examines two primary research objectives. First this thesis aims to identify variables that predict displacement or non-displacement after the disaster. Second, this study explores patterns in the destination and duration of displaced households following Hurricane Harvey. Logistic regression analyses were used to examine the extent to which household composition characteristics and level of damage sustained during Hurricane Harvey predicted post-disaster displacement. Next, independent sample t-tests and descriptive statistical analyses were used to identify patterns in the destination of post-event relocations. Research findings indicate in the overall binary logistic regression model that after Hurricane Harvey, being White, level of home damage, wind damage, and number of days a member of the household returned home post-Harvey increased the likelihood of a household being displaced. Analysis of the survey responses also indicated that many households made multiple moves following Hurricane Harvey and specifically, displaced households were more likely to stay with a friend or relative. Additionally, this study found that with each additional relocation, the duration of stay at each destination increased while the distance from their pre-disaster home decreased. This thesis advances understanding of what predicts household displacement after a disaster and offers new insights into where people go during the short-term and beginning of the long-term recovery phases.