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

The value for Mortality rate, infant, male (per 1,000 live births) in Togo was 48.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 167.00 in 1960 and a minimum value of 48.60 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 167.00
1961 165.40
1962 163.50
1963 161.60
1964 159.60
1965 157.50
1966 155.10
1967 152.60
1968 149.90
1969 147.20
1970 144.40
1971 141.50
1972 138.60
1973 135.80
1974 132.80
1975 129.90
1976 127.00
1977 124.10
1978 121.30
1979 118.70
1980 116.10
1981 113.70
1982 111.40
1983 109.10
1984 107.20
1985 105.40
1986 103.70
1987 102.20
1988 100.80
1989 99.50
1990 98.30
1991 97.20
1992 96.20
1993 95.00
1994 93.80
1995 92.30
1996 90.70
1997 88.80
1998 86.80
1999 84.80
2000 82.70
2001 80.60
2002 78.40
2003 76.30
2004 74.30
2005 72.30
2006 70.40
2007 68.70
2008 66.90
2009 65.10
2010 63.40
2011 61.80
2012 60.20
2013 58.60
2014 57.00
2015 55.50
2016 54.10
2017 52.70
2018 51.20
2019 49.80
2020 48.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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