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

The value for Mortality rate, infant, male (per 1,000 live births) in Tunisia was 15.60 as of 2020. As the graph below shows, over the past 58 years this indicator reached a maximum value of 193.20 in 1962 and a minimum value of 15.60 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
1962 193.20
1963 184.20
1964 175.60
1965 167.30
1966 159.10
1967 151.40
1968 143.90
1969 136.80
1970 130.00
1971 123.70
1972 117.80
1973 111.80
1974 105.90
1975 100.00
1976 94.10
1977 88.40
1978 83.00
1979 78.10
1980 73.80
1981 69.90
1982 66.40
1983 63.30
1984 60.30
1985 57.50
1986 54.90
1987 52.50
1988 50.40
1989 48.50
1990 46.70
1991 45.00
1992 43.40
1993 41.60
1994 39.70
1995 37.70
1996 35.60
1997 33.40
1998 31.40
1999 29.30
2000 27.50
2001 25.80
2002 24.20
2003 22.80
2004 21.60
2005 20.60
2006 19.70
2007 18.80
2008 18.20
2009 17.60
2010 17.20
2011 16.90
2012 16.60
2013 16.40
2014 16.20
2015 16.10
2016 16.00
2017 16.00
2018 15.90
2019 15.80
2020 15.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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