Côte d'Ivoire - Mortality rate, infant, male (per 1,000 live births)

The value for Mortality rate, infant, male (per 1,000 live births) in Côte d'Ivoire was 64.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 231.70 in 1960 and a minimum value of 64.50 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 231.70
1961 225.80
1962 220.00
1963 214.40
1964 209.10
1965 203.40
1966 198.00
1967 192.70
1968 187.30
1969 182.10
1970 176.70
1971 171.40
1972 165.60
1973 159.60
1974 153.80
1975 147.90
1976 142.40
1977 137.30
1978 132.70
1979 128.70
1980 125.40
1981 122.60
1982 120.30
1983 118.50
1984 117.00
1985 115.70
1986 114.90
1987 114.20
1988 114.00
1989 113.70
1990 113.50
1991 113.20
1992 112.90
1993 112.60
1994 112.20
1995 111.60
1996 110.60
1997 109.50
1998 108.10
1999 106.50
2000 104.80
2001 102.90
2002 100.90
2003 98.80
2004 96.70
2005 94.40
2006 92.50
2007 90.20
2008 87.80
2009 85.50
2010 83.30
2011 81.40
2012 79.30
2013 77.10
2014 75.10
2015 73.30
2016 71.80
2017 70.10
2018 68.30
2019 66.20
2020 64.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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