Determinants of birth registration in India: Evidence from NFHS 2015-16
Krishna Kumar1, Nandita Saikia1
1Centre for the Study of Regional Development, School of Social Sciences III, Jawaharlal Nehru University, New Delhi, India.
Insights
In India, millions of children lack birth registration, hindering access to essential services. Socioeconomic factors like maternal education and wealth significantly impact birth registration completeness, with most variation occurring within states.
Area of Science:
- Public Health
- Demography
- Social Sciences
Background:
- Official birth registration is crucial for monitoring Sustainable Development Goals (SDGs) and ensuring children's access to education, healthcare, and legal protection.
- Approximately 2.7 million children under five in India lack official birth registration documents, posing a significant barrier to essential services.
Purpose of the Study:
- To investigate the influence of socioeconomic, demographic, and healthcare factors on birth registration in India.
- To analyze the spatial patterns of birth registration completeness at the district level for targeted interventions.
Main Methods:
- Utilized data from the National Family Health Survey (NFHS-4), 2015-16.
- Employed descriptive statistics, bivariate analysis, and multilevel binary logistic regression.
- Conducted spatial mapping of birth registration completeness using GIS software.
Main Results:
- Lower birth registration rates were observed in 254 districts compared to the national average (80.21%), with some districts in Uttar Pradesh, Arunachal Pradesh, Jammu & Kashmir, and Rajasthan falling below 50%.
- Children of higher birth order, rural residents, mothers with no formal education, no media exposure, from the poorest wealth quintile, and belonging to OBC or Muslim communities exhibited lower registration rates.
- Multilevel regression indicated that 25% of birth registration variation occurs between states, while 75% occurs within states. Illiterate mothers, Muslim households, and the poorest wealth quintile showed significantly lower odds of child birth registration.
Conclusions:
- Maternal education, socioeconomic status, and religious affiliation are key determinants of birth registration completeness in India.
- Significant spatial disparities in birth registration exist, necessitating district-level interventions.
- Linking birth registration facilities with health institutions is strongly recommended to improve coverage.
Objectives:
Official data on birth is important to monitor the specific targets of SDGs. About 2.7 million children under age five years do not have official birth registration document in India. Unavailability of birth registration document may deprive the children from access to government-aided essential services such as fixed years of formal education, healthcare, and legal protection. This study examines the effect of socioeconomic, demographic and health care factors on birth registration in India. We also examined the spatial pattern of completeness of birth registration that could be useful for district level intervention.
Methods:
We used data from the National Family Health Survey (NFHS-4), 2015-16. We carried out the descriptive statistics and bivariate analysis. Besides, we used multilevel binary logistic regression to identify significant covariates of birth registration at the individual, district, and state levels. We used GIS software to do spatial mapping of completeness of birth registration at district level.
Results:
The birth registration level was lower than national average (80.21%) in the 254 districts. In Uttar Pradesh, 12 out of 71 districts recorded lower than 50% birth registration. Also, some districts from Arunachal Pradesh, J&K, and Rajasthan recorded lower than 50% birth registration. We also found a lower proportion of children are registered among children of birth order three and above (62.83%) and rural resident (76.62%). Children of mothers with no formal education, no media exposure, poorest wealth quintile, OBC and muslims religion have lower level of birth registration. Multilevel regression result showed 25 percent variation in birth registration lie between states while the remaining 75 percent variation lie within states. Moreover, children among illiterate mother (AOR = 0.57, CI [0.54, 0.61], p<0.001), Muslims households (AOR = 0.90, CI [0.87, 0.94], p<0.001), and poorest wealth quintile (AOR = 0.38, CI [0.36, 0.41], p<0.001) showed lower odds for child's birth registration.
Conclusion:
We strongly suggest linking the birth registration facilities with health institutions.
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