Dem. Rep. Congo - Mortality rate, infant, male (per 1,000 live births)

The value for Mortality rate, infant, male (per 1,000 live births) in Dem. Rep. Congo was 69.50 as of 2020. As the graph below shows, over the past 51 years this indicator reached a maximum value of 159.10 in 1969 and a minimum value of 69.50 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
1969 159.10
1970 157.40
1971 155.60
1972 153.90
1973 152.10
1974 150.50
1975 148.70
1976 146.90
1977 145.00
1978 143.30
1979 141.50
1980 139.70
1981 138.10
1982 136.50
1983 135.10
1984 133.70
1985 132.50
1986 131.20
1987 130.00
1988 128.80
1989 127.70
1990 126.60
1991 125.50
1992 124.60
1993 123.70
1994 122.80
1995 122.00
1996 121.10
1997 119.90
1998 118.50
1999 116.70
2000 114.80
2001 112.60
2002 110.30
2003 107.90
2004 105.50
2005 103.00
2006 100.40
2007 97.90
2008 95.40
2009 93.00
2010 90.50
2011 88.10
2012 85.80
2013 83.60
2014 81.50
2015 79.30
2016 77.20
2017 75.20
2018 73.20
2019 71.30
2020 69.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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