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

The value for Mortality rate, infant (per 1,000 live births) in Togo was 44.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 154.50 in 1960 and a minimum value of 44.40 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 154.50
1961 152.90
1962 151.20
1963 149.50
1964 147.60
1965 145.60
1966 143.50
1967 141.10
1968 138.70
1969 136.10
1970 133.50
1971 130.80
1972 128.20
1973 125.50
1974 122.90
1975 120.20
1976 117.60
1977 115.10
1978 112.70
1979 110.30
1980 107.90
1981 105.60
1982 103.50
1983 101.50
1984 99.60
1985 97.80
1986 96.10
1987 94.60
1988 93.20
1989 92.00
1990 90.90
1991 89.80
1992 88.70
1993 87.50
1994 86.20
1995 84.80
1996 83.20
1997 81.40
1998 79.60
1999 77.60
2000 75.70
2001 73.70
2002 71.80
2003 69.90
2004 68.00
2005 66.30
2006 64.60
2007 62.90
2008 61.40
2009 59.80
2010 58.30
2011 56.70
2012 55.20
2013 53.70
2014 52.20
2015 50.80
2016 49.40
2017 48.10
2018 46.80
2019 45.50
2020 44.40

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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