Rapid decline in child sex ratio (CSR) is a serious problem with severe socio-economic, demographic and cultural implication. Using Ordinary Least Square (OLS) and Quantile Regression estimates for thirty five states and union territories of India, the paper tries to examine the determinants of child sex ratio. The results show that the female literacy rate has significant positive while male literacy and percentage share of the urban population have a significant negative association with child sex ratio in India. Decadal population growth rate has a significant positive association with rural child sex ratios but insignificant negative associated with urban child sex ratio. The revealing quantile regression estimates suggest that female literacy and decadal population growth rate have significant positive, while male literacy, urban population and infant mortality rate have a significant negative association at 0.10 quantile, where the problem is severe. The variables like urban population and infant mortality rate have significant lowest negative association at the upper tail (0.90 quantile) of the child sex ratio. Furthermore, the paper also highlighted regional variations through regional dummy variables. Coefficients of child sex ratio with regional dummy variables show that north - west region has highest negative and southern region has a highest positive influence on juvenile sex ratio of India. Thus strengthening of female education and reduction in higher usage of sex determination tests