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

The value for Mortality rate, infant (per 1,000 live births) in Zambia was 41.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 121.50 in 1960 and a minimum value of 41.70 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 121.50
1961 119.50
1962 117.60
1963 116.00
1964 114.70
1965 113.80
1966 113.30
1967 112.90
1968 112.20
1969 111.00
1970 109.10
1971 106.40
1972 103.40
1973 100.30
1974 97.60
1975 95.70
1976 94.70
1977 94.60
1978 94.80
1979 95.20
1980 95.70
1981 96.10
1982 96.60
1983 97.70
1984 99.50
1985 101.60
1986 103.90
1987 105.90
1988 107.20
1989 107.90
1990 108.10
1991 107.90
1992 107.10
1993 105.80
1994 103.60
1995 101.30
1996 99.20
1997 97.50
1998 95.70
1999 93.50
2000 90.20
2001 85.30
2002 79.20
2003 73.20
2004 67.10
2005 61.90
2006 58.40
2007 56.70
2008 54.50
2009 52.90
2010 51.20
2011 50.10
2012 49.10
2013 46.60
2014 46.00
2015 46.90
2016 45.60
2017 44.30
2018 43.90
2019 42.90
2020 41.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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