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

The value for Mortality rate, infant, male (per 1,000 live births) in Guatemala was 22.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 157.00 in 1960 and a minimum value of 22.30 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 157.00
1961 153.50
1962 150.10
1963 146.70
1964 143.40
1965 140.20
1966 137.00
1967 133.70
1968 130.50
1969 127.30
1970 124.30
1971 121.10
1972 118.00
1973 114.90
1974 111.90
1975 108.90
1976 113.00
1977 102.70
1978 99.70
1979 96.70
1980 93.60
1981 90.50
1982 96.10
1983 84.60
1984 81.70
1985 78.80
1986 76.00
1987 73.20
1988 70.60
1989 68.00
1990 65.50
1991 63.20
1992 60.80
1993 58.50
1994 56.30
1995 54.30
1996 52.30
1997 50.40
1998 48.60
1999 46.80
2000 45.20
2001 43.60
2002 42.10
2003 40.60
2004 39.20
2005 37.90
2006 36.60
2007 35.30
2008 34.10
2009 32.90
2010 31.70
2011 30.50
2012 29.40
2013 28.30
2014 27.30
2015 26.30
2016 25.50
2017 24.60
2018 23.80
2019 23.00
2020 22.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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