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

The value for Mortality rate, under-5, female (per 1,000 live births) in Mexico was 12.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 148.70 in 1960 and a minimum value of 12.30 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 148.70
1961 142.30
1962 136.50
1963 131.20
1964 126.30
1965 121.70
1966 117.30
1967 113.10
1968 109.10
1969 105.10
1970 101.20
1971 97.40
1972 93.70
1973 90.10
1974 86.60
1975 83.20
1976 79.90
1977 76.60
1978 73.30
1979 70.10
1980 67.00
1981 63.90
1982 60.90
1983 58.10
1984 55.40
1985 52.90
1986 50.50
1987 48.20
1988 45.90
1989 43.80
1990 41.60
1991 39.70
1992 37.80
1993 36.00
1994 34.20
1995 32.60
1996 31.00
1997 29.60
1998 28.10
1999 26.80
2000 25.60
2001 24.40
2002 23.30
2003 22.40
2004 21.50
2005 20.60
2006 19.90
2007 19.10
2008 18.50
2009 17.90
2010 17.30
2011 16.80
2012 16.20
2013 15.60
2014 15.10
2015 14.60
2016 14.10
2017 13.70
2018 13.20
2019 12.80
2020 12.30

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