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

The value for Mortality rate, infant (per 1,000 live births) in Eswatini was 37.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 139.90 in 1960 and a minimum value of 37.40 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 139.90
1961 137.80
1962 135.80
1963 133.50
1964 131.20
1965 128.60
1966 125.90
1967 123.40
1968 120.90
1969 118.40
1970 115.70
1971 112.70
1972 109.50
1973 105.90
1974 102.30
1975 98.60
1976 94.80
1977 91.20
1978 87.80
1979 84.30
1980 80.80
1981 77.30
1982 73.80
1983 76.20
1984 66.70
1985 63.20
1986 60.10
1987 57.20
1988 54.70
1989 52.70
1990 51.40
1991 51.00
1992 51.60
1993 53.20
1994 55.30
1995 57.60
1996 59.80
1997 61.80
1998 63.90
1999 65.90
2000 67.80
2001 69.00
2002 69.60
2003 69.80
2004 69.10
2005 68.30
2006 58.80
2007 59.30
2008 61.10
2009 57.90
2010 54.70
2011 51.50
2012 50.60
2013 49.50
2014 50.10
2015 45.20
2016 42.60
2017 43.50
2018 39.40
2019 37.70
2020 37.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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