Objective/Meaning  The current situation of different types of rural-urban elderly migrants was analyzed in this paper, in order to provide decision-making reference for guaranteeing the rights and interests of the floating elderly population and promoting the citizenization of the agricultural transferring population.

  Methods/Procedures  Based on the dynamic monitoring survey data of the floating population in China in 2017, the binary logistic regression model was used to reveal the long-term residence intention and influencing factors of different types of elderly floating population.

  Results/Conclusions  The study found that: (1) The long-term residence intention of the elderly floating population decreased in the order of the types including the non-local elderly care service, other type, the accompanying transferring of family members, and farmers’doing business or seeking jobs in cities. (2) The long-term residence intention of the elderly floating population had the characteristics of obvious spatial agglomeration. The high-value areas were mainly distributed in the northeast and western regions of China, while the low-value areas were concentrated in the eastern region of China. (3) The type of household registration, the duration of inflow, the housing nature, the willingness to integrate and family difficulties were the main factors that determined the residence intention of all types of elderly floating population. In addition, there were significant differences in the dominant factors affecting the long-term residence intention of different types of elderly population.