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

The value for Mortality rate, under-5 (per 1,000 live births) in Canada was 5.00 as of 2018. As the graph below shows, over the past 58 years this indicator reached a maximum value of 32.60 in 1960 and a minimum value of 5.00 in 2018.

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 32.60
1961 31.50
1962 30.50
1963 29.40
1964 28.20
1965 27.10
1966 26.00
1967 25.00
1968 24.00
1969 23.00
1970 22.00
1971 21.00
1972 19.90
1973 18.90
1974 17.90
1975 17.00
1976 16.00
1977 15.10
1978 14.20
1979 13.30
1980 12.50
1981 11.80
1982 11.20
1983 10.60
1984 10.10
1985 9.80
1986 9.40
1987 9.10
1988 8.80
1989 8.50
1990 8.30
1991 8.00
1992 7.70
1993 7.40
1994 7.20
1995 6.90
1996 6.70
1997 6.50
1998 6.40
1999 6.30
2000 6.20
2001 6.20
2002 6.10
2003 6.10
2004 6.10
2005 6.10
2006 6.00
2007 5.90
2008 5.80
2009 5.70
2010 5.60
2011 5.60
2012 5.50
2013 5.40
2014 5.40
2015 5.30
2016 5.20
2017 5.10
2018 5.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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