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

The value for Mortality rate, under-5, male (per 1,000 live births) in Philippines was 29.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 108.70 in 1960 and a minimum value of 29.10 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 108.70
1961 105.40
1962 102.70
1963 100.40
1964 98.40
1965 96.50
1966 94.60
1967 93.00
1968 91.50
1969 90.20
1970 89.30
1971 88.70
1972 88.30
1973 88.30
1974 88.30
1975 88.30
1976 88.20
1977 87.90
1978 87.40
1979 86.70
1980 85.80
1981 84.80
1982 83.70
1983 82.40
1984 80.70
1985 78.70
1986 76.10
1987 72.90
1988 69.40
1989 65.60
1990 61.90
1991 58.30
1992 55.20
1993 52.50
1994 50.10
1995 48.00
1996 46.20
1997 44.70
1998 43.40
1999 42.30
2000 41.40
2001 40.60
2002 39.80
2003 39.10
2004 38.30
2005 37.60
2006 36.90
2007 36.30
2008 35.70
2009 35.20
2010 34.80
2011 34.40
2012 33.90
2013 33.50
2014 33.00
2015 32.60
2016 32.10
2017 31.40
2018 30.70
2019 29.90
2020 29.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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