Abstract: This study is to identify the effects of socio-economic and demographic characteristic on causes and consequences of migration. The data of this study was collected by purposive sampling and interview method in Rajshahi City Corporation. The Logistic Regression Analysis has been used to recognize the influence and determinant of migration. It is indicated that education level, monthly income, type of family and land property significantly effect on causes of migration among the selected variables. The risk of migration is higher times for migrants with educational level primary, secondary and above as compared to migrants with illiterate.