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

The value for Mortality rate, infant, male (per 1,000 live births) in Mozambique was 56.70 as of 2020. As the graph below shows, over the past 53 years this indicator reached a maximum value of 192.00 in 1970 and a minimum value of 56.70 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
1967 190.70
1968 191.50
1969 191.80
1970 192.00
1971 191.80
1972 191.40
1973 190.60
1974 189.80
1975 189.00
1976 188.70
1977 188.00
1978 187.70
1979 187.60
1980 187.60
1981 187.50
1982 186.80
1983 185.40
1984 183.70
1985 181.70
1986 179.40
1987 177.00
1988 174.70
1989 172.40
1990 170.10
1991 167.80
1992 164.70
1993 161.20
1994 157.00
1995 151.70
1996 145.50
1997 138.70
1998 131.40
1999 124.40
2000 117.60
2001 111.10
2002 105.20
2003 100.10
2004 95.60
2005 91.70
2006 88.10
2007 82.70
2008 80.30
2009 77.30
2010 77.10
2011 73.30
2012 70.80
2013 69.00
2014 67.30
2015 65.40
2016 63.50
2017 61.60
2018 59.90
2019 58.20
2020 56.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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