OBJECTIVES:  The purpose of this study was to explore the strength and form of association between household economic inequalities, along with other confounders’ inference prevalence of anemia among ever married women in Bangladesh. METHODS: Data from a 2011 Bangladesh Demographic Health Survey (BDHS) were used for this study. The ordered logistic regression or proportional odds model was used to test the association between anemia and explanatory variables in the form of four models: Model 1: household economic status, Model 2: Model 1 plus sociodemographic factors, Model 3: Model 2 plus diabetes & maternity factors; Model 4: Model 3 plus nutritional status or BMI. RESULTS:  It was revealed that respondents in the low socioeconomic status (SES) group were around two times more likely to suffer from anemia as compared to the respondents in the richest SES group (p<0.01; model 1). Respondents who had completed secondary or higher education were better equipped to protect themselves from anemia as compared to those who were illiterate (p<0.01; model 2). Model 3 and 4 revealed that individuals suffering from diabetes appeared to be around two times more affected by anemia (OR: 1.67 & 1.74; p <0.05 respectively) as compared to individuals having a normal fasting blood plasma glucose level. Women who were neither lactating nor pregnant were at lesser risk for developing anemia as compared to those that were. In addition, it was seen that BMI appears to function as a protective factor for controlling anemia in the full model (Model 4). CONCLUSIONS: BMI, maternity status, and diabetes mellitus were observed significantly associated with anemia and reducing the significance of the SES, thus it may be claimed that standard of SES is inferring these variables, which in turn affects the benchmark hemoglobin level in women.