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

The value for Mortality rate, infant (per 1,000 live births) in Kenya was 31.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 117.60 in 1960 and a minimum value of 31.20 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 117.60
1961 113.20
1962 109.40
1963 106.10
1964 103.40
1965 101.30
1966 99.50
1967 97.90
1968 96.20
1969 94.50
1970 92.70
1971 90.80
1972 88.80
1973 86.70
1974 84.50
1975 82.20
1976 79.80
1977 77.40
1978 75.00
1979 72.70
1980 70.50
1981 68.50
1982 66.70
1983 65.10
1984 63.80
1985 62.90
1986 62.40
1987 62.40
1988 62.80
1989 63.70
1990 64.90
1991 66.10
1992 67.30
1993 67.90
1994 68.00
1995 67.50
1996 66.50
1997 65.20
1998 63.60
1999 61.80
2000 59.90
2001 57.80
2002 55.50
2003 53.20
2004 50.80
2005 48.00
2006 45.70
2007 43.70
2008 41.40
2009 40.40
2010 39.30
2011 38.50
2012 38.20
2013 37.40
2014 36.40
2015 35.20
2016 34.40
2017 33.70
2018 32.70
2019 32.00
2020 31.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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