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

The value for Mortality rate, infant (per 1,000 live births) in Philippines was 20.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 66.00 in 1960 and a minimum value of 20.90 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 66.00
1961 64.30
1962 62.80
1963 61.50
1964 60.40
1965 59.30
1966 58.20
1967 57.30
1968 56.40
1969 55.80
1970 55.20
1971 54.80
1972 54.70
1973 54.50
1974 54.50
1975 54.50
1976 54.40
1977 54.30
1978 54.00
1979 53.50
1980 53.00
1981 52.40
1982 51.80
1983 51.10
1984 50.20
1985 49.10
1986 47.70
1987 45.90
1988 44.00
1989 42.00
1990 39.90
1991 38.00
1992 36.40
1993 34.90
1994 33.60
1995 32.40
1996 31.40
1997 30.50
1998 29.80
1999 29.20
2000 28.70
2001 28.20
2002 27.80
2003 27.30
2004 26.90
2005 26.40
2006 26.00
2007 25.70
2008 25.30
2009 25.00
2010 24.80
2011 24.50
2012 24.20
2013 23.90
2014 23.70
2015 23.40
2016 23.00
2017 22.60
2018 22.10
2019 21.50
2020 20.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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