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

The value for Mortality rate, under-5 (per 1,000 live births) in Tanzania was 48.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 241.60 in 1960 and a minimum value of 48.90 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 241.60
1961 239.80
1962 238.00
1963 235.80
1964 233.30
1965 230.70
1966 227.80
1967 224.80
1968 221.60
1969 218.30
1970 215.00
1971 211.50
1972 207.80
1973 203.90
1974 199.90
1975 195.60
1976 191.30
1977 187.10
1978 183.30
1979 180.00
1980 178.10
1981 177.40
1982 177.50
1983 178.00
1984 178.10
1985 177.50
1986 175.80
1987 173.50
1988 170.70
1989 168.00
1990 165.60
1991 163.60
1992 161.80
1993 160.10
1994 158.20
1995 155.90
1996 152.80
1997 148.60
1998 143.40
1999 137.00
2000 129.70
2001 121.90
2002 114.00
2003 106.50
2004 99.90
2005 93.90
2006 88.80
2007 83.80
2008 79.60
2009 75.40
2010 71.90
2011 68.40
2012 65.30
2013 62.70
2014 59.90
2015 58.10
2016 56.00
2017 54.10
2018 52.10
2019 50.50
2020 48.90

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