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

The value for Mortality rate, infant (per 1,000 live births) in Guatemala was 20.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 147.70 in 1960 and a minimum value of 20.10 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 147.70
1961 144.40
1962 141.20
1963 138.10
1964 135.00
1965 131.90
1966 128.70
1967 125.50
1968 122.40
1969 119.30
1970 116.20
1971 113.20
1972 110.10
1973 107.00
1974 103.90
1975 100.80
1976 104.90
1977 94.80
1978 91.80
1979 88.90
1980 86.00
1981 83.10
1982 88.80
1983 77.50
1984 74.80
1985 72.10
1986 69.40
1987 66.80
1988 64.30
1989 61.80
1990 59.50
1991 57.20
1992 55.10
1993 53.00
1994 51.10
1995 49.20
1996 47.40
1997 45.70
1998 44.00
1999 42.50
2000 41.00
2001 39.50
2002 38.10
2003 36.80
2004 35.60
2005 34.30
2006 33.10
2007 32.00
2008 30.80
2009 29.70
2010 28.60
2011 27.60
2012 26.50
2013 25.60
2014 24.60
2015 23.70
2016 22.90
2017 22.20
2018 21.40
2019 20.70
2020 20.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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