Predictors of Permanent Childlessness Among Married Women in Iran With Emphasis On Household Characteristics (Using Microdata Sample of The 2016 National Census)
Abstract Background: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of problem by Iranian population policy makers.Methods: Research method is secondary data analysis. Using the census micro-data of population and housing in 2016 an attempt was made to investigate the prevalence and predictors of childlessness among the married women aged 40-49. The data related to 85799 married women aged 40-49 were analyzed.Results: Logistic regression analysis indicated that the probability of Childlessness for the women with university degree, immigrant as well as employed women is more likely than other their counterparts. Also, the findings suggested that the odds of being childless for the women who are living an apartment as well as those who are resident in a personal housing is less likely than counterparts. With increasing household area, the probability of being childless for women decreases.Conclusion: The government planning and policy making related to reducing the proportion of childlessness should be aimed at improving household circumstances especially in the field of their housing.