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

The value for Mortality rate, neonatal (per 1,000 live births) in Côte d'Ivoire was 33.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 89.20 in 1960 and a minimum value of 33.20 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 89.20
1961 87.60
1962 86.10
1963 84.80
1964 83.70
1965 82.60
1966 81.40
1967 80.30
1968 79.10
1969 77.80
1970 76.40
1971 74.60
1972 72.60
1973 70.30
1974 67.90
1975 65.50
1976 63.20
1977 61.20
1978 59.50
1979 57.90
1980 56.50
1981 55.30
1982 54.30
1983 53.50
1984 52.70
1985 52.10
1986 51.40
1987 50.80
1988 50.10
1989 49.50
1990 49.00
1991 48.70
1992 48.50
1993 48.30
1994 48.20
1995 48.00
1996 47.70
1997 47.30
1998 46.80
1999 46.30
2000 45.80
2001 45.20
2002 44.60
2003 44.00
2004 43.40
2005 42.70
2006 42.00
2007 41.30
2008 40.60
2009 40.00
2010 39.30
2011 38.70
2012 38.00
2013 37.40
2014 36.80
2015 36.20
2016 35.60
2017 35.00
2018 34.50
2019 33.90
2020 33.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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