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

The value for Mortality rate, under-5, male (per 1,000 live births) in Togo was 69.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 274.90 in 1960 and a minimum value of 69.30 in 2020.

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 274.90
1961 272.20
1962 269.20
1963 266.00
1964 262.80
1965 259.30
1966 255.40
1967 251.30
1968 247.00
1969 242.40
1970 237.60
1971 232.80
1972 227.80
1973 222.70
1974 217.60
1975 212.40
1976 207.40
1977 202.40
1978 197.50
1979 192.80
1980 188.10
1981 183.70
1982 179.60
1983 175.60
1984 172.10
1985 168.70
1986 165.80
1987 163.00
1988 160.50
1989 158.30
1990 156.30
1991 154.20
1992 152.10
1993 150.10
1994 147.80
1995 145.20
1996 142.10
1997 138.80
1998 135.30
1999 131.80
2000 128.10
2001 124.30
2002 120.50
2003 116.90
2004 113.40
2005 110.10
2006 106.80
2007 103.70
2008 100.70
2009 97.80
2010 94.80
2011 92.00
2012 89.20
2013 86.40
2014 83.80
2015 81.20
2016 78.70
2017 76.30
2018 73.80
2019 71.40
2020 69.30

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