This study is to explore the situation of household expenditures for package travel. There were 7,288 samples used in six municipalities of the 2017 household income and expenditure survey reports. Statistical methods such as independent sample T-test, the Chi-Squared test of independence, one-way analysis of variance, correlation analysis and simple regression analysis. The results are summarized as follows: 1. The age, education level, occupation, housing ownership, and the disposable income were significant impact on package travel expenditure and positively correlated. 2. The number of minors, aged 65 and above were significant and negatively correlated. 3. There were significant differences between the travel expenditure for families and the different places of residence.