This study aimed to identify the most important factors that causes the problem of students dropout in basic education , Through the use of multivariate statistical analysis which represented by factor analysis To analyze the relationship between
variables to reach the most influential variables on drop out of school , And cluster analysis to determine the extent of the relationship between the variables in terms of similarities or differences in order to know social and economic variables that directly effect on students dropout. The researcher aimed to identify the most significant variables that led to the students dropout of school or not to enrollment in it, and show the necessary treatments that can be offered to students who dropout from school to return them to it or to prevent leaving the study. There are (24) independent variable in this study , the results that were obtained from factor analysis when the correlation matrix analyzed shows that the main factor explained (9.372%) of the total variance matrix included (4) variables (X2 environment, X3 head of family , X6 father education, X21 social reasons for females) . the results of cluster analysis shows that smaller dispersion between variables was (1.000) between the two variables (X17 busying in work and X19 parents discouragement) and the highest dispersion was (616.456) between two variables (X1 sex and X1. busying in work) with reference that the less amount of dispersion is an evidence to the homogeneity of the group.