Women ’s empowerment has become an important index of the development indicators globally. This paper proposes an index on women ’s empowerment (WEI) working in the agricultural sector of Bangladesh. To conduct this study, 385 female agricultural laborers of the northern part of Bangladesh were selected for data collection using multi-stage sampling technique. The cross-sectional data has been used for univariate analysis, to carry out the description of the variables; bivariate analysis, to find the associations among the variables; and binary logistic regression analysis, to evaluate the effects of selected socioeconomic factors on WEI. The results revealed that the average WEI value was 52.70. In Chi-square test, respondents’ age, marital status, family head, physical fitness, family income, religion, and education were found statistically significantly associated with WEI. Finally, the binary logistic regression model identified respondents ’ age and education were the significant predictors of WEI. To increase WEI, education among women should be enhanced.

Keyword: Empowerment index; Mobility indicator; power indicator; Political indicator; regression model