The main objective of this paper is to measure the levels of unmet need in the rural areas of some Upper Egypt governorates, namely the governorates of Minya, Assiut and Sohag, also the research aims to identifying the most significant influential variables using the binary response logistic regression approach. The study sample included 4000 women. The results resulted in the entry of 7 independent variables in the expected model of a total of 29 variables representing demographic, social and economic characteristics at 5% significant level. The determination coefficient (Nagelkerke R2) has reached 0.752, so the ability of the independent variables to interpret any changes happens for the dependent variable is a good explanation percentage. The percentage of the total correct classification was 82.63% which is considered a high and good percentage exceeding the minimum division efficiency of 73%. Thus, the model is generally good as the model's significance is less than the allowable error level of 1%.