Mexico - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Mexico was 13.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 155.50 in 1960 and a minimum value of 13.70 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 155.50
1961 149.00
1962 143.10
1963 137.60
1964 132.60
1965 127.80
1966 123.20
1967 119.00
1968 114.80
1969 110.70
1970 106.70
1971 102.80
1972 99.10
1973 95.40
1974 91.80
1975 88.30
1976 84.90
1977 81.50
1978 78.20
1979 74.90
1980 71.70
1981 68.50
1982 65.50
1983 62.60
1984 59.80
1985 57.20
1986 54.60
1987 52.20
1988 49.90
1989 47.60
1990 45.40
1991 43.40
1992 41.40
1993 39.50
1994 37.60
1995 35.90
1996 34.20
1997 32.70
1998 31.20
1999 29.70
2000 28.40
2001 27.10
2002 26.00
2003 24.90
2004 23.90
2005 22.90
2006 22.10
2007 21.30
2008 20.60
2009 19.90
2010 19.20
2011 18.50
2012 17.90
2013 17.30
2014 16.80
2015 16.20
2016 15.70
2017 15.20
2018 14.60
2019 14.10
2020 13.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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