Agricultural labor transfer and its influencing factors have been an important topic in academic research in recent years. Based on the data of the China Comprehensive Social Survey (CGSS2021), the influence of personal characteristics, family level and social factors on agricultural labor transfer behavior was analyzed by applying binary logistic regression. The results show that individual characteristics such as gender, age, health status, and education level significantly affect the transfer behavior of agricultural labor, and agricultural laborers with lower age, poor health and lower education level are more inclined to be in the state of non-transfer. Family-level factors such as marital status and family size significantly affected the transfer behavior of agricultural labor. Medical insurance, family economic status and social status have no significant impact on the transfer behavior of agricultural labor. Finally, the following suggestions are proposed to implement targeted employment assistance for the vulnerable groups of agricultural labor force employmen, vigorously develop county and township industries, establish a long-term treatment guarantee mechanism to improve the quality of employment of agricultural labor.