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

The value for Mortality rate, infant (per 1,000 live births) in Cabo Verde was 12.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 122.20 in 1960 and a minimum value of 12.20 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 122.20
1961 120.90
1962 119.60
1963 118.20
1964 116.60
1965 114.80
1966 112.50
1967 109.90
1968 107.10
1969 103.80
1970 100.10
1971 96.10
1972 91.90
1973 87.70
1974 83.60
1975 79.60
1976 75.90
1977 72.50
1978 69.70
1979 67.40
1980 65.70
1981 64.40
1982 63.30
1983 62.30
1984 60.90
1985 59.00
1986 56.50
1987 53.70
1988 50.90
1989 48.50
1990 46.60
1991 45.50
1992 44.90
1993 44.80
1994 44.70
1995 44.10
1996 42.70
1997 40.40
1998 37.50
1999 34.20
2000 31.10
2001 28.40
2002 26.30
2003 24.80
2004 24.00
2005 23.50
2006 23.40
2007 23.30
2008 23.10
2009 22.70
2010 22.10
2011 21.30
2012 20.30
2013 19.20
2014 17.90
2015 16.70
2016 15.50
2017 14.50
2018 13.60
2019 12.80
2020 12.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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