India - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in India was 27.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 161.80 in 1960 and a minimum value of 27.00 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also:

Year Value
1960 161.80
1961 159.50
1962 157.30
1963 155.30
1964 153.40
1965 151.60
1966 149.70
1967 148.10
1968 146.50
1969 144.70
1970 143.00
1971 140.90
1972 138.80
1973 136.50
1974 133.90
1975 131.00
1976 128.00
1977 124.70
1978 121.30
1979 117.90
1980 114.60
1981 111.50
1982 108.60
1983 105.90
1984 103.30
1985 100.80
1986 98.40
1987 95.90
1988 93.40
1989 90.90
1990 88.60
1991 86.30
1992 84.20
1993 82.10
1994 80.10
1995 77.90
1996 75.80
1997 73.50
1998 71.20
1999 68.90
2000 66.70
2001 64.40
2002 62.10
2003 60.00
2004 57.80
2005 55.70
2006 53.60
2007 51.50
2008 49.40
2009 47.20
2010 45.10
2011 43.00
2012 40.90
2013 38.80
2014 36.90
2015 34.90
2016 33.10
2017 31.40
2018 29.80
2019 28.30
2020 27.00

Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac

Classification

Topic: Health Indicators

Sub-Topic: Mortality