São Tomé and Principe - Mortality rate, infant, male (per 1,000 live births)

The value for Mortality rate, infant, male (per 1,000 live births) in São Tomé and Principe was 14.10 as of 2020. As the graph below shows, over the past 55 years this indicator reached a maximum value of 76.00 in 1992 and a minimum value of 14.10 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
1965 67.60
1966 65.80
1967 64.20
1968 63.00
1969 62.10
1970 61.70
1971 61.80
1972 62.00
1973 62.40
1974 62.80
1975 63.20
1976 63.50
1977 63.80
1978 64.00
1979 64.40
1980 64.90
1981 65.60
1982 66.60
1983 67.80
1984 69.20
1985 70.60
1986 75.80
1987 73.00
1988 74.00
1989 74.90
1990 75.60
1991 76.00
1992 76.00
1993 75.70
1994 74.70
1995 73.10
1996 71.10
1997 68.70
1998 65.90
1999 62.80
2000 59.50
2001 56.30
2002 52.80
2003 49.60
2004 46.40
2005 43.40
2006 40.50
2007 37.90
2008 35.40
2009 33.00
2010 30.80
2011 28.50
2012 26.50
2013 24.50
2014 22.50
2015 20.60
2016 18.90
2017 17.30
2018 16.00
2019 15.00
2020 14.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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