Ethiopia, a country with an area of 1.14 million km2 is located in the region that is knownrnas the Horn of Africa. Malnutrition is a serious problem in Ethiopia, and women andrnchildren are the most affected segments of the population. Women are more likely tornsuffer from malnutrition than men are, for some potential reasons. Given this backgroundrnthe major objective of this study is to identify factors affecting women malnutrition inrnEthiopia. In this study the data source was the Ethiopian Demographic and Health Surveyrnconducted in 2011(EDHS 2011) by the Central Statistical Agency (CSA) with a total ofrn16,515 women of age 15-49 years. In this study 8,278 non-pregnant and non-postpartumrnwomen are considered. Descriptive statistics, binary logistic regression and multilevelrnlogistic regression are used for statistical analysis. The descriptive result revealed thatrnabout 28.7% of the women were malnourished while 71.3% were not malnourished.rnLogistic regression analysis was performed to investigate the effect of predicators onrnwomen malnutrition. Accordingly, place of residence, region, education level, economicrnstatus, source of drinking water, toilet facilities, occupation of women and partner'srnoccupation were found to be the significant determinants for women malnutrition.rnMoreover, multilevel modeling was used to analyze nested sources of variability inrnhierarchical data, taking in to account the variability associated within each level of thernhierarchy. The estimates of the multilevel model showed that variables that are reportedrnto be significant in logistic regression analysis were also found to be significant. Therneffect of these significant variables is the same all region in Ethiopia but the effect ofrneconomic status and education levels are not the same all regions in Ethiopia