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

The value for Mortality rate, neonatal (per 1,000 live births) in Kenya was 20.50 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 48.40 in 1960 and a minimum value of 20.50 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 48.40
1961 46.90
1962 45.40
1963 44.00
1964 42.90
1965 42.00
1966 41.40
1967 40.90
1968 40.50
1969 39.90
1970 39.30
1971 38.60
1972 37.80
1973 37.00
1974 36.20
1975 35.50
1976 34.90
1977 34.40
1978 33.90
1979 33.30
1980 32.80
1981 32.30
1982 31.80
1983 31.30
1984 30.70
1985 30.20
1986 29.50
1987 28.90
1988 28.40
1989 27.90
1990 27.50
1991 27.40
1992 27.30
1993 27.40
1994 27.50
1995 27.70
1996 27.80
1997 28.00
1998 28.20
1999 28.20
2000 28.20
2001 28.00
2002 27.80
2003 27.50
2004 27.10
2005 26.60
2006 26.10
2007 25.60
2008 25.10
2009 24.60
2010 24.20
2011 23.90
2012 23.50
2013 23.20
2014 22.90
2015 22.60
2016 22.20
2017 21.80
2018 21.40
2019 21.00
2020 20.50

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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