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

The value for Mortality rate, infant (per 1,000 live births) in Côte d'Ivoire was 57.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 213.20 in 1960 and a minimum value of 57.90 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 213.20
1961 207.60
1962 202.10
1963 196.90
1964 191.80
1965 186.90
1966 181.90
1967 177.20
1968 172.60
1969 167.80
1970 163.10
1971 158.20
1972 152.90
1973 147.50
1974 142.20
1975 136.80
1976 131.60
1977 126.70
1978 122.30
1979 118.50
1980 115.40
1981 112.80
1982 110.60
1983 108.90
1984 107.40
1985 106.20
1986 105.40
1987 104.80
1988 104.40
1989 104.30
1990 104.20
1991 104.10
1992 103.90
1993 103.50
1994 103.00
1995 102.40
1996 101.30
1997 100.20
1998 98.80
1999 97.20
2000 95.60
2001 93.70
2002 91.60
2003 89.60
2004 87.50
2005 85.20
2006 83.40
2007 81.10
2008 78.70
2009 76.60
2010 74.70
2011 72.90
2012 71.00
2013 69.10
2014 67.30
2015 65.70
2016 64.40
2017 62.90
2018 61.30
2019 59.40
2020 57.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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