In 2020, the state of Bihar had the highest rural birth rate of 26.2 births per 1,000 inhabitants. It was followed by Uttar Pradesh and Madhya Pradesh. Among the larger states and union territories, the southern state of Kerala had the lowest birth rate in the rural areas that year.

Total Fertility Rate: India: Rural data was reported at 2.200 NA in 2020. This records a decrease from the previous number of 2.300 NA for 2019. Total Fertility Rate: India: Rural data is updated yearly, averaging 2.550 NA from Dec 2005 (Median) to 2020, with 16 observations. The data reached an all-time high of 3.200 NA in 2005 and a record low of 2.200 NA in 2020. Total Fertility Rate: India: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH006: Vital Statistics: Total Fertility Rate.

The fertility rate of women in India was about *** in rural regions and *** in urban regions in 2020. Furthermore, the north Indian state of Bihar had the highest total fertility rate of about ***** in rural and urban areas in that year.

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: 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.

Vital Statistics: Birth Rate: per 1000 Population: Arunchal Pradesh: Rural data was reported at 17.800 NA in 2020. This records a decrease from the previous number of 18.100 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Arunchal Pradesh: Rural data is updated yearly, averaging 22.100 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 24.400 NA in 2005 and a record low of 17.800 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Arunchal Pradesh: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Vital Statistics: Birth Rate: per 1000 Population: Maharashtra: Rural data was reported at 15.300 NA in 2020. This records a decrease from the previous number of 15.600 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Maharashtra: Rural data is updated yearly, averaging 18.100 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 23.600 NA in 1998 and a record low of 15.300 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Maharashtra: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

This scatter chart displays rural population (people) against fertility rate (births per woman) in India. The data is filtered where the date is 2021. The data is about countries per year.

The second National Family Health Survey (NFHS-2), conducted in 1998-99, provides information on fertility, mortality, family planning, and important aspects of nutrition, health, and health care. The International Institute for Population Sciences (IIPS) coordinated the survey, which collected information from a nationally representative sample of more than 90,000 ever-married women age 15-49. The NFHS-2 sample covers 99 percent of India's population living in all 26 states. This report is based on the survey data for 25 of the 26 states, however, since data collection in Tripura was delayed due to local problems in the state. IIPS also coordinated the first National Family Health Survey (NFHS-1) in 1992-93. Most of the types of information collected in NFHS-2 were also collected in the earlier survey, making it possible to identify trends over the intervening period of six and one-half years. In addition, the NFHS-2 questionnaire covered a number of new or expanded topics with important policy implications, such as reproductive health, women's autonomy, domestic violence, women's nutrition, anaemia, and salt iodization. The NFHS-2 survey was carried out in two phases. Ten states were surveyed in the first phase which began in November 1998 and the remaining states (except Tripura) were surveyed in the second phase which began in March 1999. The field staff collected information from 91,196 households in these 25 states and interviewed 89,199 eligible women in these households. In addition, the survey collected information on 32,393 children born in the three years preceding the survey. One health investigator on each survey team measured the height and weight of eligible women and children and took blood samples to assess the prevalence of anaemia. SUMMARY OF FINDINGS POPULATION CHARACTERISTICS Three-quarters (73 percent) of the population lives in rural areas. The age distribution is typical of populations that have recently experienced a fertility decline, with relatively low proportions in the younger and older age groups. Thirty-six percent of the population is below age 15, and 5 percent is age 65 and above. The sex ratio is 957 females for every 1,000 males in rural areas but only 928 females for every 1,000 males in urban areas, suggesting that more men than women have migrated to urban areas. The survey provides a variety of demographic and socioeconomic background information. In the country as a whole, 82 percent of household heads are Hindu, 12 percent are Muslim, 3 percent are Christian, and 2 percent are Sikh. Muslims live disproportionately in urban areas, where they comprise 15 percent of household heads. Nineteen percent of household heads belong to scheduled castes, 9 percent belong to scheduled tribes, and 32 percent belong to other backward classes (OBCs). Two-fifths of household heads do not belong to any of these groups. Questions about housing conditions and the standard of living of households indicate some improvements since the time of NFHS-1. Sixty percent of households in India now have electricity and 39 percent have piped drinking water compared with 51 percent and 33 percent, respectively, at the time of NFHS-1. Sixty-four percent of households have no toilet facility compared with 70 percent at the time of NFHS-1. About three-fourths (75 percent) of males and half (51 percent) of females age six and above are literate, an increase of 6-8 percentage points from literacy rates at the time of NFHS-1. The percentage of illiterate males varies from 6-7 percent in Mizoram and Kerala to 37 percent in Bihar and the percentage of illiterate females varies from 11 percent in Mizoram and 15 percent in Kerala to 65 percent in Bihar. Seventy-nine percent of children age 6-14 are attending school, up from 68 percent in NFHS-1. The proportion of children attending school has increased for all ages, particularly for girls, but girls continue to lag behind boys in school attendance. Moreover, the disparity in school attendance by sex grows with increasing age of children. At age 6-10, 85 percent of boys attend school compared with 78 percent of girls. By age 15-17, 58 percent of boys attend school compared with 40 percent of girls. The percentage of girls 6-17 attending school varies from 51 percent in Bihar and 56 percent in Rajasthan to over 90 percent in Himachal Pradesh and Kerala. Women in India tend to marry at an early age. Thirty-four percent of women age 15-19 are already married including 4 percent who are married but gauna has yet to be performed. These proportions are even higher in the rural areas. Older women are more likely than younger women to have married at an early age: 39 percent of women currently age 45-49 married before age 15 compared with 14 percent of women currently age 15-19. Although this indicates that the proportion of women who marry young is declining rapidly, half the women even in the age group 20-24 have married before reaching the legal minimum age of 18 years. On average, women are five years younger than the men they marry. The median age at marriage varies from about 15 years in Madhya Pradesh, Bihar, Uttar Pradesh, Rajasthan, and Andhra Pradesh to 23 years in Goa. As part of an increasing emphasis on gender issues, NFHS-2 asked women about their participation in household decisionmaking. In India, 91 percent of women are involved in decision-making on at least one of four selected topics. A much lower proportion (52 percent), however, are involved in making decisions about their own health care. There are large variations among states in India with regard to women's involvement in household decisionmaking. More than three out of four women are involved in decisions about their own health care in Himachal Pradesh, Meghalaya, and Punjab compared with about two out of five or less in Madhya Pradesh, Orissa, and Rajasthan. Thirty-nine percent of women do work other than housework, and more than two-thirds of these women work for cash. Only 41 percent of women who earn cash can decide independently how to spend the money that they earn. Forty-three percent of working women report that their earnings constitute at least half of total family earnings, including 18 percent who report that the family is entirely dependent on their earnings. Women's work-participation rates vary from 9 percent in Punjab and 13 percent in Haryana to 60-70 percent in Manipur, Nagaland, and Arunachal Pradesh. FERTILITY AND FAMILY PLANNING Fertility continues to decline in India. At current fertility levels, women will have an average of 2.9 children each throughout their childbearing years. The total fertility rate (TFR) is down from 3.4 children per woman at the time of NFHS-1, but is still well above the replacement level of just over two children per woman. There are large variations in fertility among the states in India. Goa and Kerala have attained below replacement level fertility and Karnataka, Himachal Pradesh, Tamil Nadu, and Punjab are at or close to replacement level fertility. By contrast, fertility is 3.3 or more children per woman in Meghalaya, Uttar Pradesh, Rajasthan, Nagaland, Bihar, and Madhya Pradesh. More than one-third to less than half of all births in these latter states are fourth or higher-order births compared with 7-9 percent of births in Kerala, Goa, and Tamil Nadu. Efforts to encourage the trend towards lower fertility might usefully focus on groups within the population that have higher fertility than average. In India, rural women and women from scheduled tribes and scheduled castes have somewhat higher fertility than other women, but fertility is particularly high for illiterate women, poor women, and Muslim women. Another striking feature is the high level of childbearing among young women. More than half of women age 20-49 had their first birth before reaching age 20, and women age 15-19 account for almost one-fifth of total fertility. Studies in India and elsewhere have shown that health and mortality risks increase when women give birth at such young ages?both for the women themselves and for their children. Family planning programmes focusing on women in this age group could make a significant impact on maternal and child health and help to reduce fertility. INFANT AND CHILD MORTALITY NFHS-2 provides estimates of infant and child mortality and examines factors associated with the survival of young children. During the five years preceding the survey, the infant mortality rate was 68 deaths at age 0-11 months per 1,000 live births, substantially lower than 79 per 1,000 in the five years preceding the NFHS-1 survey. The child mortality rate, 29 deaths at age 1-4 years per 1,000 children reaching age one, also declined from the corresponding rate of 33 per 1,000 in NFHS-1. Ninety-five children out of 1,000 born do not live to age five years. Expressed differently, 1 in 15 children die in the first year of life, and 1 in 11 die before reaching age five. Child-survival programmes might usefully focus on specific groups of children with particularly high infant and child mortality rates, such as children who live in rural areas, children whose mothers are illiterate, children belonging to scheduled castes or scheduled tribes, and children from poor households. Infant mortality rates are more than two and one-half times as high for women who did not receive any of the recommended types of maternity related medical care than for mothers who did receive all recommended types of care. HEALTH, HEALTH CARE, AND NUTRITION Promotion of maternal and child health has been one of the most important components of the Family Welfare Programme of the Government of India. One goal is for each pregnant woman to receive at least three antenatal check-ups plus two tetanus toxoid injections and a full course of iron and folic acid supplementation. In India, mothers of 65 percent of the children born in the three years preceding NFHS-2 received at least one antenatal

Vital Statistics: Birth Rate: per 1000 Population: Punjab: Rural data was reported at 14.900 NA in 2020. This records a decrease from the previous number of 15.000 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Punjab: Rural data is updated yearly, averaging 17.700 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 23.700 NA in 1998 and a record low of 14.900 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Punjab: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Vital Statistics: Birth Rate: per 1000 Population: Bihar: Rural data was reported at 26.200 NA in 2020. This records a decrease from the previous number of 26.500 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Bihar: Rural data is updated yearly, averaging 29.300 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 32.800 NA in 2000 and a record low of 26.200 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Bihar: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

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School enrollment, tertiary, UHC service coverage index, Wanted fertility rate, People with basic handwashing facilities, urban population, Rural population, AIDS estimated deaths, Domestic private health expenditure, Fertility rate, Domestic general government health expenditure, Age dependency ratio, Postnatal care coverage, People using safely managed drinking water services, Unemployment, Lifetime risk of maternal death, External health expenditure, Population growth, Completeness of birth registration, Urban poverty headcount ratio, Prevalence of undernourishment, People using at least basic sanitation services, Prevalence of current tobacco use, Urban poverty headcount ratio, Tuberculosis treatment success rate, Low-birthweight babies, Female headed households, Completeness of birth registration, Urban population growth, Antiretroviral therapy coverage, Labor force, and more.

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Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

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In 2023, the infant mortality rate in India was at about 24.5 deaths per 1,000 live births, a significant decrease from previous years. Infant mortality as an indicatorThe infant mortality rate is the number of deaths of children under one year of age per 1,000 live births. This rate is an important key indicator for a country’s health and standard of living; a low infant mortality rate indicates a high standard of healthcare. Causes of infant mortality include premature birth, sepsis or meningitis, sudden infant death syndrome, and pneumonia. Globally, the infant mortality rate has shrunk from 63 infant deaths per 1,000 live births to 27 since 1990 and is forecast to drop to 8 infant deaths per 1,000 live births by the year 2100. India’s rural problemWith 32 infant deaths per 1,000 live births, India is neither among the countries with the highest nor among those with the lowest infant mortality rate. Its decrease indicates an increase in medical care and hygiene, as well as a decrease in female infanticide. Increasing life expectancy at birth is another indicator that shows that the living conditions of the Indian population are improving. Still, India’s inhabitants predominantly live in rural areas, where standards of living as well as access to medical care and hygiene are traditionally lower and more complicated than in cities. Public health programs are thus put in place by the government to ensure further improvement.

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.

Vital Statistics: Birth Rate: per 1000 Population: Himachal Pradesh: Rural data was reported at 15.700 NA in 2020. This records a decrease from the previous number of 15.900 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Himachal Pradesh: Rural data is updated yearly, averaging 17.800 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 24.300 NA in 1999 and a record low of 15.700 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Himachal Pradesh: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Vital Statistics: Birth Rate: per 1000 Population: Meghalaya: Rural data was reported at 25.100 NA in 2020. This records a decrease from the previous number of 25.500 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Meghalaya: Rural data is updated yearly, averaging 26.400 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 31.800 NA in 1998 and a record low of 24.000 NA in 2018. Vital Statistics: Birth Rate: per 1000 Population: Meghalaya: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Vital Statistics: Birth Rate: per 1000 Population: Karnataka: Rural data was reported at 17.500 NA in 2020. This records a decrease from the previous number of 17.800 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Karnataka: Rural data is updated yearly, averaging 20.600 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 23.700 NA in 1999 and a record low of 17.500 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Karnataka: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

In 2020, the state of Madhya Pradesh, with 47 infant deaths per 1,000 live births, recorded the highest rural infant mortality rate in India. Other regions with high mortality rates included Chhattisgarh and Uttar Pradesh. On the contrary, Delhi recorded the lowest figures for the category during the same period.

About this dataset

Context

The dataset tabulates the data for the Indian Village, IN population pyramid, which represents the Indian Village population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Indian Village, IN, is 48.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Indian Village, IN, is 61.1.
• Total dependency ratio for Indian Village, IN is 109.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Indian Village, IN is 1.6.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Indian Village population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Village for the selected age group is shown in the following column.
• Population (Female): The female population in the Indian Village for the selected age group is shown in the following column.
• Total Population: The total population of the Indian Village for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Village Population by Age. You can refer the same here