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

The value for Mortality rate, infant, male (per 1,000 live births) in Zimbabwe was 42.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 101.70 in 1960 and a minimum value of 42.00 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 101.70
1961 99.50
1962 97.10
1963 94.60
1964 92.00
1965 89.60
1966 87.40
1967 85.50
1968 83.80
1969 82.60
1970 81.70
1971 81.00
1972 80.70
1973 80.50
1974 80.50
1975 80.70
1976 80.90
1977 80.80
1978 80.40
1979 79.40
1980 77.80
1981 75.20
1982 71.90
1983 68.20
1984 64.50
1985 61.20
1986 58.70
1987 57.10
1988 56.20
1989 55.90
1990 56.20
1991 57.00
1992 58.30
1993 59.70
1994 61.10
1995 62.40
1996 62.60
1997 61.80
1998 60.50
1999 58.90
2000 57.60
2001 56.60
2002 56.20
2003 55.80
2004 56.60
2005 57.10
2006 59.00
2007 60.20
2008 60.10
2009 59.50
2010 57.30
2011 56.00
2012 51.30
2013 49.40
2014 47.40
2015 46.60
2016 45.10
2017 44.20
2018 42.90
2019 42.10
2020 42.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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