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

The value for Mortality rate, infant (per 1,000 live births) in São Tomé and Principe was 12.70 as of 2020. As the graph below shows, over the past 55 years this indicator reached a maximum value of 69.60 in 1992 and a minimum value of 12.70 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
1965 61.90
1966 60.10
1967 58.60
1968 57.50
1969 56.70
1970 56.30
1971 56.30
1972 56.60
1973 56.90
1974 57.30
1975 57.60
1976 57.90
1977 58.10
1978 58.40
1979 58.80
1980 59.20
1981 59.90
1982 60.80
1983 61.90
1984 63.20
1985 64.50
1986 69.60
1987 66.80
1988 67.70
1989 68.50
1990 69.10
1991 69.50
1992 69.60
1993 69.30
1994 68.40
1995 67.00
1996 65.20
1997 62.90
1998 60.20
1999 57.40
2000 54.30
2001 51.20
2002 48.00
2003 45.00
2004 42.10
2005 39.30
2006 36.60
2007 34.20
2008 31.90
2009 29.70
2010 27.60
2011 25.70
2012 23.70
2013 22.00
2014 20.10
2015 18.50
2016 16.90
2017 15.50
2018 14.40
2019 13.50
2020 12.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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