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

The value for Mortality rate, infant, female (per 1,000 live births) in Mexico was 10.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 98.60 in 1960 and a minimum value of 10.60 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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 98.60
1961 94.90
1962 91.30
1963 88.00
1964 85.00
1965 82.20
1966 79.60
1967 77.00
1968 74.60
1969 72.20
1970 69.80
1971 67.50
1972 65.20
1973 63.00
1974 60.90
1975 58.80
1976 56.80
1977 54.80
1978 52.90
1979 51.00
1980 49.10
1981 47.20
1982 45.40
1983 43.60
1984 41.90
1985 40.20
1986 38.60
1987 37.10
1988 35.60
1989 34.20
1990 32.70
1991 31.40
1992 30.10
1993 28.80
1994 27.60
1995 26.50
1996 25.30
1997 24.20
1998 23.20
1999 22.20
2000 21.20
2001 20.30
2002 19.50
2003 18.80
2004 18.00
2005 17.40
2006 16.80
2007 16.20
2008 15.70
2009 15.20
2010 14.70
2011 14.30
2012 13.80
2013 13.30
2014 12.90
2015 12.50
2016 12.10
2017 11.70
2018 11.30
2019 10.90
2020 10.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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