Yemen - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Yemen was 59.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 429.70 in 1960 and a minimum value of 58.40 in 2013.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified 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 429.70
1961 422.70
1962 415.50
1963 407.80
1964 399.60
1965 390.20
1966 379.70
1967 368.20
1968 356.00
1969 343.20
1970 330.80
1971 318.50
1972 306.70
1973 295.60
1974 284.20
1975 272.50
1976 260.30
1977 247.80
1978 235.00
1979 222.00
1980 209.10
1981 196.70
1982 184.70
1983 173.40
1984 163.30
1985 154.60
1986 147.20
1987 140.80
1988 135.30
1989 130.50
1990 126.40
1991 122.80
1992 119.60
1993 116.70
1994 114.20
1995 111.90
1996 109.60
1997 106.80
1998 103.40
1999 99.40
2000 95.00
2001 90.30
2002 85.70
2003 81.20
2004 76.90
2005 73.00
2006 69.10
2007 65.60
2008 62.40
2009 60.10
2010 58.80
2011 58.50
2012 58.80
2013 58.40
2014 58.70
2015 60.70
2016 60.30
2017 60.20
2018 61.60
2019 61.50
2020 59.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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