India Vital Statistics: Birth Rate: per 1000 Population: Rural data was reported at 22.100 NA in 2016. This records a decrease from the previous number of 22.400 NA for 2015. India Vital Statistics: Birth Rate: per 1000 Population: Rural data is updated yearly, averaging 30.500 NA from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 38.900 NA in 1971 and a record low of 22.100 NA in 2016. India Vital Statistics: Birth Rate: per 1000 Population: Rural data remains active status in CEIC and is reported by Census of India. The data is categorized under Global Database’s India – Table IN.GAH001: Vital Statistics.

India Vital Statistics: Birth Rate: per 1000 Population: Urban data was reported at 17.000 NA in 2016. This records a decrease from the previous number of 17.300 NA for 2015. India Vital Statistics: Birth Rate: per 1000 Population: Urban data is updated yearly, averaging 23.100 NA from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 30.500 NA in 1972 and a record low of 17.000 NA in 2016. India Vital Statistics: Birth Rate: per 1000 Population: Urban data remains active status in CEIC and is reported by Census of India. The data is categorized under Global Database’s India – Table IN.GAH001: Vital Statistics.

In a survey conducted in 2015 to 2016 across India, Muslim women seemed to have the highest fertility rate in the country with an average of **** children per woman. The actual and predicted values of fertility were quite similar for Hindu and Muslim women in the measured period.

Data in table tells us about the year-wise National Family Health Survey- Main Findings.

Indicators used are: Population and Household Profile, Characteristics of Adults (age 15-49), Marriage and fertility, Infant and Child Mortality Rates (per 1,000 live births), Current Use of Family Planning Methods (currently married women age 15-49 years), Unmet Need for Family Planning (currently married women age 15-49 years), Quality of Family Planning Services, Maternal and Child Health includes- Maternity Care (for last birth in the 5 years before the survey), Delivery Care (for births in the 5 years before the survey), Treatment of Childhood Diseases (children under age 5 years), Child Feeding Practices and Nutritional Status of Children, Nutritional Status of Adults (age 15-49 years) includes- Anaemia among Children and Adults 15, Blood Sugar Level among Adults (age 15-49 years)16, Women Age 15-49 Years Who Have Ever Undergone Examinations of: Cervix, breast and oral cavity, Knowledge of HIV/AIDS among Adults (age 15-49 years), Women's Empowerment and Gender Based Violence (age 15-49 years) and Tobacco Use and Alcohol Consumption among Adults (age 15-49 years). NFHS-3 was calculated for 2005-2006 and NFHS-4 for 2015-16 for urban areas, rural areas and total separately.

It is a Dataset of Total Fertility Rate of all India States and Union Territory in NFHS (National Health Family Survey 2015-2016) and NFHS 2019-2021. This Dataset contain the population of All States and Union Territory latest updates to 2021 and GDP per Capita latest by 2019. Data is Sorted in Descending order by GDP per capita.

Note that GDP of Dadar Nagar Haveli and Daman Diu, Ladakh and Lakshadweep are not available hence taken as the Default (1000000) value.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data was reported at 91.700 NA in 2016. This records an increase from the previous number of 77.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data is updated yearly, averaging 69.800 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 91.700 NA in 2016 and a record low of 63.900 NA in 2013. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

Background and objectiveIndia contributes the highest global share of deaths among the under-fives. Continuous monitoring of the reduction in the under-five mortality rate (U5MR) at local level is thus essential to set priorities for policy-makers and health professionals. In this study, we aimed to provide an update on district-level disparities in the neonatal mortality rate (NMR) and the U5MR with special reference to Sustainable Development Goal 3 (SDG3) on preventable deaths among new-borns and children under five.Data and methodsWe used recently released population-based cross-sectional data from the National Family Health Survey (NFHS) conducted in 2015–2016. We used the synthetic cohort probability approach to analyze the full birth history information of women aged 15–49 to estimate the NMR and U5MR for the ten years preceding the survey.ResultsBoth the NMR and U5MR vary enormously across Indian districts. With respect to the SDG3 target for 2030 for the NMR and the U5MR, the estimated NMR for India for the period studied is about 2.4 times higher, while the estimated U5MR is about double. At district level, while 9% of the districts have already reached the NMR targeted in SDG3, nearly half (315 districts) are not likely to achieve the 2030 target even if they realize the NMR reductions achieved by their own states between the last two rounds of National Family Health Survey of India. Similarly, less than one-third of the districts (177) of India are unlikely to achieve the SDG3 target on the U5MR by 2030. While the majority of high-risk districts for the NMR and U5MR are located in the poorer states of north-central and eastern India, a few high-risk districts for NMR also fall in the rich and advanced states. About 97% of districts from Chhattisgarh and Uttar Pradesh, for example, are unlikely to meet the SDG3 target for preventable deaths among new-borns and children under age five, irrespective of gender.ConclusionsTo achieve the SDG3 target on preventable deaths by 2030, the majority of Indian districts clearly need to make a giant leap to reduce their NMR and U5MR.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data was reported at 152.300 NA in 2016. This records a decrease from the previous number of 192.700 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data is updated yearly, averaging 210.600 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 218.500 NA in 2010 and a record low of 152.300 NA in 2016. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data was reported at 2.500 NA in 2016. This records a decrease from the previous number of 2.800 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data is updated yearly, averaging 1.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 2.800 NA in 2015 and a record low of 0.800 NA in 2012. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

In 2023, the total fertility rate in children per woman in India was 1.98. Between 1960 and 2023, the figure dropped by 3.94, though the decline followed an uneven course rather than a steady trajectory.

Abstract

The National Family Health Survey (NFHS) is a large-scale, multi-round survey conducted in a representative sample of households throughout India. Four rounds of the survey have been conducted in 1992-93, 1998-99, 2005-06, and 2015-16. The fifth round of the survey (2019-2020) is currently in the field. All of the surveys are part of the Demographic and Health Surveys (DHS) Program. The surveys provide information on population, health, and nutrition at the national and state level. Since 2015-16, the surveys have also provided information at the district level. Some of the major topics included in NFHS-4 (2015-16) are fertility, infant and child mortality, family planning, maternal and reproductive health, child vaccinations, prevalence and treatment of childhood diseases, nutrition, women’s empowerment, domestic violence, marriage, sexual activity, employment, anemia, anthropometry, HIV/AIDS knowledge and testing, tobacco and alcohol use, biomarker tests (anthropometry, anemia, HIV, blood pressure, and blood glucose), and water, sanitation, and hygiene. The primary objective of the NFHS surveys is to provide essential data on health and family welfare, as well as emerging issues in these areas. The information collected through the NFHS surveys is intended to assist policymakers and program managers in setting benchmarks and examining progress over time in India’s health sector. The Ministry of Health and Family Welfare (MOHFW), Government of India, designated the International Institute for Population Sciences (IIPS), Mumbai, as the agency responsible for providing coordination and technical guidance for all of the surveys. IIPS has collaborated with a large number of field agencies for survey implementation. The Demographic and Health Surveys Program has provided technical assistance for all of the surveys.

Documentation

You can access the data through the DHS website. Data files are available in the following five formats:

• Hierarchical CSPro file
• Flat files: ASCII data with syntax, Stata, SPSS, SAS

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All datasets are distributed in archived ZIP files that include the data file and its associated documentation. The DHS Program is authorized to distribute, at no cost, unrestricted survey data files for legitimate academic research. Registration is required to access the data.

Additional information about the surveys is available on the India page on the DHS Program website. This page provides a list of surveys and reports, plus Country Quickstats for India, and it is the gateway to accessing more information about the India surveys and datasets.

Methodology

2015-16 National Family Health Survey (NFHS-4): Fieldwork for NFHS-4 was conducted in two phases, from January 2015 to December 2016. The fieldwork was conducted by 14 field agencies, including three Population Research Centers. Laboratory testing for HIV was done by seven laboratories throughout India. NFHS-4 collected information from a nationally representative sample of 601,509 households, 699,686 women age 15-49, and 112,122 men age 15-54. The survey covered all 29 states, 7 Union Territories, and 640 districts in India.

Funding for the survey was provided by the Ministry of Health and Family Welfare, Government of India; the United States Agency for International Development (USAID); UKAID/DFID; the Bill & Melinda Gates Foundation; UNICEF; the United Nations Population Fund (UNFPA); and the MacArthur Foundation. Technical Assistance for NFHS-4 was provided by Macro International, Maryland, USA.

2005-06 National Family Health Survey (NFHS-3): Fieldwork for NFHS-3 was conducted in two phases, from November 2005 to August 2006. The fieldwork was conducted by 18 field agencies, including six Population Research Centers. Laboratory testing for HIV was done by the SRL Ranbaxy laboratory in Mumbai. NFHS-3 collected information from a nationally representative sample of 109,041 households, 124,385 women age 15-49, and 74,369 men age 15-54. The survey covered all 29 states. Only the Union Territories were not included.

Funding for the survey was provided by the United States Agency for International Development (USAID); United Kingdom Department for International Development (DFID); the Bill & Melinda Gates Foundation; UNICEF; the United Nations Population Fund (UNFPA); and the Government of India. Technical assistance for NFHS-3 was provided by Macro International, Maryland, USA.

1998-99 National Family Health Survey (NFHS-2): Fieldwork for NFHS-2 was conducted in two phases, from November 1998 to December 1999. The fieldwork was conducted by 13 field agencies, including five Population Research Centers. NFHS-2 collected information from a nationally representative sample of 91,196 households and 89,188 ever-married women age 15-49. Male interviews were not included in the survey. The survey cover

Descriptive statistics of births included in the three samples, NFHS-4, India, 2015–16.

State-wise comparative analysis of neonatal mortality rate, India, 2005–2006 and 2015–2016 with reference to SDG3 target on preventable deaths among new borns.

State-wise comparative analysis of under-five mortality rate, India, 2005–2006 and 2015–2016 with reference to SDG3 target on preventable deaths among children aged under five.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 25-29 data was reported at 180.200 NA in 2016. This records an increase from the previous number of 163.500 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 25-29 data is updated yearly, averaging 163.700 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 180.200 NA in 2016 and a record low of 154.200 NA in 2014. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 25-29 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data was reported at 76.500 NA in 2016. This records an increase from the previous number of 63.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data is updated yearly, averaging 58.800 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 76.500 NA in 2016 and a record low of 55.600 NA in 2012. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

Married women surveyed in India were first pregnant when they were about 21 years old. These women were between 25 and 49 years old. While this is influenced many varying factors from socio-economic conditions to education and cultural influence, results from the survey found that women in urban areas had their first child more than a year later than their rural counterparts.

Sample distribution of women with birth during five years preceding the survey, National Family Health Survey (NFHS) 2015–16, India.

India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data was reported at 32.600 NA in 2016. This records a decrease from the previous number of 32.700 NA for 2015. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data is updated yearly, averaging 22.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 32.700 NA in 2015 and a record low of 16.800 NA in 2012. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH008: Vital Statistics: Age Specific Fertility Rate: by Education Level of Women.

BackgroundUtilization of skilled birth attendance during home delivery of pregnant women is proven to reduce complications during and after childbirth. Though the utilization of skilled birth attendance (SBA) during home delivery has increased significantly in recent times, the rate of utilizing skilled birth attendance is still low in several regions across India. The objective of this study is to analyze the prevalence and to identify the determinants of the utilization of skilled birth attendance during home delivery of pregnant women in India.MethodsTo conduct this study, data and information from the Indian Demographic and Health Survey 2015–16 have been utilized. The sample size for this study is a weighted sample of 41,171 women. The sample consisted of women who had given a live birth in the three years preceding the survey. For women with more than one child, only the first live birth was considered. The binary logistic regression model and the log-binary logistic regression analysis have been applied as the adjusted odds ratios (AORs) with 95% confidence intervals for identifying the determinants of home-based skilled birth attendance during delivery. That allows us to select the most appropriate model for our study objective by ensuring that the determinants of skilled birth attendance for home delivery are accurately assessed based on the characteristics of the data.ResultsThe analyses show that only 18.8% of women had utilized skilled birth attendance during delivery. Women residing in urban areas are more likely to utilize skilled birth attendance during home delivery (AOR: 1.14; 95% CI: 1.08–1.20). Women having higher education levels are associated with increased use of SBA during home delivery (AOR: 1.15; 95% CI: 1.04–1.28). Exposure to media is associated with increased utilization of SBA (AOR: 1.17; 95% CI: 1.11–1.23). Overweight women are also more likely to avail the SBA during home delivery (AOR: 1.11; 95% CI: 1.03–1.19). Women belonging to affluent households have higher odds of utilizing skilled birth attendance (AOR: 1.41; 95% CI: 1.33–1.49). Having 3+ tetanus injections is associated with the utilization of SBA (AOR: 1.56; 95% CI: 1.43–1.69). Women having 4+ antenatal care visits were more likely to utilize SBA (AOR: 1.81; 95% CI: 1.71–1.92). Women belonging to the Hindu religion were 1.12 times more likely to utilize SBA (AOR: 1.12; 95% CI: 1.07–1.18). Women with 1 to 3 birth orders were 1.40 times more likely to utilize skilled birth attendance during home delivery (AOR: 1.40; 95% CI: 1.30–1.51).ConclusionThe percentage of women utilizing skilled birth attendance during home delivery is still very low which is a matter of serious concern. Several factors have been found to be associated with the utilization of SBA during home delivery in India. As skilled birth attendance has significant positive health outcomes for pregnant women and newborns, efforts to increase the rate of SBA utilization during home delivery should be undertaken.