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

The value for Mortality rate, infant (per 1,000 live births) in Congo was 33.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 115.80 in 1960 and a minimum value of 33.00 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 115.80
1961 111.60
1962 107.80
1963 104.20
1964 101.10
1965 98.10
1966 95.30
1967 92.40
1968 89.80
1969 87.40
1970 85.20
1971 83.00
1972 81.00
1973 79.20
1974 77.50
1975 75.90
1976 74.40
1977 72.90
1978 71.40
1979 70.00
1980 68.50
1981 67.10
1982 65.60
1983 64.20
1984 62.70
1985 61.40
1986 60.30
1987 59.40
1988 59.00
1989 59.00
1990 59.60
1991 60.50
1992 61.70
1993 63.40
1994 65.30
1995 67.30
1996 69.30
1997 71.20
1998 72.60
1999 73.10
2000 72.40
2001 70.70
2002 68.00
2003 64.60
2004 60.70
2005 56.80
2006 53.10
2007 49.80
2008 46.90
2009 44.70
2010 43.00
2011 41.70
2012 40.70
2013 39.70
2014 38.70
2015 37.60
2016 36.60
2017 35.60
2018 34.70
2019 35.90
2020 33.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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