<![CDATA[This study aims to determine how the level of education, age, income, number of family members and place of residence of respondents affect the participation of productive-age married women to work in 2023 in NTB Province. The method used is binary logistic regression analysis using the Stata 17 application and using SAKERNAS data from August 2023 with a sample size of 5,984. The results of this study illustrate that factors of education, age, number of family members, and place of residence influence women's decisions to work, with higher education and living in urban areas providing greater opportunities, while older age and larger families tend to reduce women's participation in the workforce. This study concludes that variables such as level of education, age, number of family members, and place of residence affect women's opportunities to work. Women with higher levels of education have greater opportunities for work, while women who are older, have more family members, or live in rural areas tend to have fewer opportunities. These factors illustrate how education, age, family responsibilities, and socio-cultural conditions in the residential environment can affect women's participation in the labor market. Keywords: Be of Productive Age to Work, Married Women.]]>
Copyrights © 2025
