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

The value for Mortality rate, neonatal (per 1,000 live births) in Indonesia was 11.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 57.80 in 1960 and a minimum value of 11.70 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 57.80
1961 56.80
1962 55.70
1963 54.80
1964 53.80
1965 53.50
1966 52.10
1967 51.20
1968 50.30
1969 49.50
1970 48.60
1971 47.70
1972 46.70
1973 45.60
1974 44.60
1975 43.40
1976 42.30
1977 41.30
1978 40.30
1979 39.40
1980 38.40
1981 37.50
1982 36.40
1983 35.40
1984 34.40
1985 33.60
1986 32.90
1987 32.30
1988 31.70
1989 31.20
1990 30.70
1991 30.20
1992 29.60
1993 29.00
1994 28.30
1995 27.40
1996 26.50
1997 25.60
1998 24.60
1999 23.70
2000 22.80
2001 22.10
2002 21.40
2003 20.90
2004 20.50
2005 19.90
2006 19.50
2007 19.10
2008 18.70
2009 18.10
2010 17.50
2011 16.80
2012 16.10
2013 15.40
2014 14.80
2015 14.20
2016 13.60
2017 13.10
2018 12.60
2019 12.20
2020 11.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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