This paper empirically applies the Ordinary Least Square (OLS) and time series analysis on the life insurance demand model. Compared with the existing research, this paper creates a multiple linear regression model and an improved one, which indicates that the growth of gross domestic product is main contributors to the development of life insurance. Also, improving education environment and support the old ratio and raise the young ratio affect life insurance demand significantly. Meanwhile, there is an apparent time lag effect on premium income by ADF test as result of installment payment of premiums.