Title: Fertility differentials according to females' education, employment and family planning adoption in rural Bangladesh.
Abstract: This study examines differential fertility in 16 contiguous villages of both Savar and Dhamrai upazila in Dhaka district, Bangladesh. The sample includes 890 couples. Levels of female education were positively correlated with family planning use. 50.6% of housewives with a secondary or higher education used contraception. 59.8% of employed women with a secondary or higher education used contraception. 21.6% of illiterate women used contraception. Fertility declined with an increase in educational level. Child mortality increased fertility regardless of educational level or contraceptive usage. The average number of children ever born differed significantly between contraceptive and noncontraceptive users who did not work. Fertility between working and nonworking women did not differ significantly. Fertility was higher throughout the life cycle among adopters and nonadopters who had husbands that were laborers. Multivariate analysis reveals that fertility was highly significantly affected by duration of marriage and desired number of children. Differences in fertility between working and nonworking individuals was insignificantly related to differences in socioeconomic factors. The impact of socioeconomic factors on the fertility of adopter and nonadopter women was significantly different. Regression findings show that duration of marriage, desired number of children, and spouse's occupation had the strongest impact on fertility. Significant changes in impacts were due to changes in female education and contraceptive usage. Duration of marriage and desired number of children did not have the same level of impact among educated women and illiterate women. Income had a negative effect on the fertility of contraceptive users.
Publication Year: 1996
Publication Date: 1996-01-01
Language: en
Type: article
Indexed In: ['pubmed']
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot