Socioeconomic Determinants of Household Size in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey Data
Background
Bangladesh is one of the most densely populated countries in the world. This large population predominantly affects the socioeconomic development of the people living in this country. Therefore, it is essential to identify the determinants of household size in the country and suggest implications for future interventions in similar contexts.
Objectives
The primary purpose of the present study was to explore the distribution of household size and its determinants based on the nationally representative Bangladesh Demographic and Health Survey (BDHS) data.
Material and Methods
The data were extracted from BDHS 2017–2018, a national survey. Individual responses from the adult women of each household were considered in this nationwide survey. We applied univariate and bivariate analyses (chi-squared test) to explore the distribution of household size and different selected determinants. The multinomial logistic regression was utilized to identify the association between household size and the selected independent determinants in our study.
Results
Findings of our multinomial logistic regression analysis showed that sex of the household head, division, decision about health, respondent’s age, residence, respondent’s education, husband’s education, wealth index, religion, husband’s occupation, and respondent’s working status were significantly associated with the household size (P ≤ 0.05). We observed that household size tended to be more prominent in rural areas, in the Sylhet division, in families where the head of the household was a male, and in families where others except the respondents and their husbands made health-related decisions. Besides, large household size was also common among respondents aged 25 years or less, respondents and their husbands with higher education, respondents from the rich and middle class, respondents who were Muslim, respondents whose husbands were businessmen and jobholders, and respondents who were workers.
Conclusions
The findings of our study suggest that household size in Bangladesh is associated with different socioeconomic factors. We recommend promoting awareness programs on family planning promotion and early marriage prevention, especially in rural areas, to prevent the rapid growth of the population. Expansion of education for both men and women and female involvement in income-generating activities should be encouraged to effectively control the household size in Bangladesh.
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