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

The value for Mortality rate, neonatal (per 1,000 live births) in Philippines was 12.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 25.90 in 1960 and a minimum value of 12.60 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 25.90
1961 25.80
1962 25.70
1963 25.70
1964 25.60
1965 25.60
1966 25.50
1967 25.40
1968 25.30
1969 25.20
1970 25.10
1971 25.00
1972 24.90
1973 24.90
1974 24.80
1975 24.90
1976 24.90
1977 24.90
1978 24.90
1979 24.80
1980 24.60
1981 24.30
1982 23.90
1983 23.50
1984 23.10
1985 22.50
1986 22.00
1987 21.30
1988 20.60
1989 19.90
1990 19.20
1991 18.60
1992 18.20
1993 17.80
1994 17.40
1995 17.10
1996 16.90
1997 16.70
1998 16.60
1999 16.60
2000 16.50
2001 16.50
2002 16.30
2003 16.20
2004 16.00
2005 15.80
2006 15.60
2007 15.40
2008 15.20
2009 15.00
2010 14.90
2011 14.70
2012 14.60
2013 14.40
2014 14.30
2015 14.10
2016 13.90
2017 13.60
2018 13.30
2019 12.90
2020 12.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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