India - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in India was 32.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 242.60 in 1960 and a minimum value of 32.60 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 242.60
1961 239.20
1962 235.90
1963 232.90
1964 230.00
1965 227.20
1966 224.50
1967 221.80
1968 219.20
1969 216.50
1970 213.60
1971 210.40
1972 207.00
1973 203.20
1974 199.10
1975 194.60
1976 189.70
1977 184.50
1978 179.10
1979 173.60
1980 168.10
1981 163.00
1982 158.20
1983 153.80
1984 149.70
1985 145.70
1986 141.70
1987 137.80
1988 133.80
1989 129.90
1990 126.20
1991 122.70
1992 119.30
1993 116.00
1994 112.70
1995 109.40
1996 106.00
1997 102.50
1998 98.90
1999 95.30
2000 91.70
2001 88.10
2002 84.50
2003 81.10
2004 77.80
2005 74.40
2006 71.10
2007 67.90
2008 64.60
2009 61.40
2010 58.20
2011 55.00
2012 52.00
2013 49.00
2014 46.20
2015 43.50
2016 41.00
2017 38.60
2018 36.30
2019 34.40
2020 32.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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