Research Scholar, International Institute for Population Sciences, Mumbai, India
Online published on 6 October, 2014.
It is well known that Bihar is one of the backward state having relatively high rates of poverty and malnutrition, and this has been suggested as the reason for the high fertility observed there. District wise total fertility rate (TFR) shows that most of districts have more than five. In recent year also shows that mostly district have 4 TFR. Percentage of change also shows that district level fertility decline rate didn't satisfactory over the period. Multiple regressions suggested the most of the predictors are negatively associated with fertility. Among socio-economic predictors, education of the mother and household economic status are observed as significant predictors of the fertility. Moreover, mother age at marriage and duration of breast feeding are negatively associated, with fertility in the state. So, the Government's intervention should focus more first is the local level need based planning for family welfare.
Fertility, Determinants, District, Replacement level, Spatial-temporal