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

The value for Mortality rate, neonatal (per 1,000 live births) in Nepal was 16.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 97.20 in 1960 and a minimum value of 16.90 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 97.20
1961 96.60
1962 95.90
1963 95.10
1964 94.20
1965 93.10
1966 92.10
1967 91.00
1968 89.90
1969 88.80
1970 87.70
1971 86.70
1972 85.60
1973 84.60
1974 83.50
1975 82.40
1976 81.30
1977 80.10
1978 78.80
1979 77.30
1980 75.80
1981 74.20
1982 72.60
1983 70.90
1984 69.20
1985 67.50
1986 65.80
1987 64.00
1988 62.10
1989 60.00
1990 57.90
1991 55.80
1992 53.80
1993 51.70
1994 49.80
1995 47.80
1996 46.00
1997 44.20
1998 42.50
1999 40.80
2000 39.30
2001 37.80
2002 36.30
2003 34.90
2004 33.50
2005 32.20
2006 31.00
2007 29.80
2008 28.70
2009 27.60
2010 26.50
2011 25.40
2012 24.30
2013 23.30
2014 22.40
2015 21.30
2016 20.20
2017 19.20
2018 18.30
2019 17.50
2020 16.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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