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

The value for Mortality rate, infant, female (per 1,000 live births) in Paraguay was 14.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 55.80 in 1960 and a minimum value of 14.40 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 55.80
1961 55.30
1962 55.00
1963 54.70
1964 54.40
1965 54.20
1966 54.10
1967 54.00
1968 53.70
1969 53.50
1970 53.20
1971 52.80
1972 52.30
1973 51.70
1974 51.10
1975 50.40
1976 49.60
1977 48.70
1978 47.70
1979 46.60
1980 45.50
1981 44.30
1982 43.00
1983 41.70
1984 40.40
1985 39.00
1986 37.70
1987 36.50
1988 35.30
1989 34.10
1990 33.00
1991 31.90
1992 30.90
1993 29.90
1994 29.00
1995 28.20
1996 27.50
1997 26.80
1998 26.20
1999 25.70
2000 25.20
2001 24.60
2002 24.10
2003 23.50
2004 23.00
2005 22.40
2006 21.90
2007 21.40
2008 20.80
2009 20.30
2010 19.80
2011 19.10
2012 18.60
2013 18.00
2014 17.50
2015 17.00
2016 16.50
2017 15.90
2018 15.40
2019 14.90
2020 14.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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