The problem of malaria disease in Ethiopia is compounded by more frequent epidemics,rncombined P. vivax and P. falciparum infections, and increasing drug and insecticidernresistance. This study examines the association between the socio-economic andrndemographic and health factors and the malaria infection status among women inrnEthiopia using logistic regression models. The study also indicates the facto rs thatrncontribute in explaining the variation of malaria infection status among women acrossrnregions. The study is based on 7333 women respondents. The data were obtained fromrnthe Central Statistics Agency of the government of Ethiopia in 2005 (EDHS 2005). Wernuse conventional logistic regression modeling to detemline the relationship between thernexplanatory variables and "malaria infection status" and multilevel logistic regression tornsee whether there exist variations in malaria infection status as relates to women acrossrnthe regions of Ethiopia. Malaria infection status among women was modeled usingrnsocio-economic and demographic and health variab les as potential predictors. Thernresults of conventional logistic regression model showed that the explanatory variablesrn" region", "currently pregnant", "wealth index", "type of place of residence", "main floorrnmaterial" and "age" are found to have a significant association with malaria infectionrnstatus among women in Ethiopia. Similarly, the interaction of the random parts of "agernby main floor material" and "main floor material by wealth index" provided signifi cantrneffect on "malaria infection status" across regions.