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

The value for Mortality rate, infant, male (per 1,000 live births) in Mexico was 12.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 114.70 in 1960 and a minimum value of 12.90 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 114.70
1961 110.60
1962 106.80
1963 103.20
1964 99.70
1965 96.50
1966 93.50
1967 90.60
1968 87.80
1969 85.00
1970 82.40
1971 79.80
1972 77.30
1973 74.80
1974 72.40
1975 70.00
1976 67.70
1977 65.40
1978 63.10
1979 60.80
1980 58.60
1981 56.50
1982 54.40
1983 52.30
1984 50.30
1985 48.40
1986 46.50
1987 44.80
1988 43.00
1989 41.30
1990 39.70
1991 38.10
1992 36.50
1993 35.10
1994 33.60
1995 32.30
1996 31.00
1997 29.70
1998 28.50
1999 27.30
2000 26.20
2001 25.10
2002 24.10
2003 23.20
2004 22.30
2005 21.50
2006 20.70
2007 20.00
2008 19.30
2009 18.70
2010 18.00
2011 17.40
2012 16.90
2013 16.40
2014 15.90
2015 15.30
2016 14.80
2017 14.30
2018 13.80
2019 13.40
2020 12.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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