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

The value for Mortality rate, infant, male (per 1,000 live births) in Paraguay was 17.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 65.30 in 1960 and a minimum value of 17.80 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
1960 65.30
1961 64.80
1962 64.40
1963 64.10
1964 63.80
1965 63.60
1966 63.40
1967 63.10
1968 62.90
1969 62.50
1970 62.10
1971 61.70
1972 61.20
1973 60.50
1974 59.70
1975 58.90
1976 58.00
1977 57.10
1978 56.00
1979 54.90
1980 53.60
1981 52.20
1982 50.80
1983 49.30
1984 47.90
1985 46.40
1986 45.00
1987 43.60
1988 42.20
1989 40.80
1990 39.60
1991 38.30
1992 37.10
1993 36.00
1994 35.00
1995 34.10
1996 33.30
1997 32.60
1998 31.90
1999 31.20
2000 30.60
2001 30.00
2002 29.40
2003 28.70
2004 28.10
2005 27.50
2006 26.80
2007 26.20
2008 25.60
2009 24.90
2010 24.20
2011 23.50
2012 22.90
2013 22.20
2014 21.60
2015 20.90
2016 20.30
2017 19.70
2018 19.00
2019 18.40
2020 17.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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