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

The value for Mortality rate, infant, female (per 1,000 live births) in Tunisia was 12.90 as of 2020. As the graph below shows, over the past 58 years this indicator reached a maximum value of 169.20 in 1962 and a minimum value of 12.90 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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
1962 169.20
1963 161.20
1964 153.70
1965 146.30
1966 139.10
1967 132.40
1968 125.50
1969 119.30
1970 113.30
1971 107.70
1972 102.30
1973 97.00
1974 91.80
1975 86.60
1976 81.50
1977 76.50
1978 71.90
1979 67.70
1980 63.90
1981 60.50
1982 57.40
1983 54.40
1984 51.70
1985 49.10
1986 46.80
1987 44.70
1988 42.80
1989 41.00
1990 39.40
1991 37.80
1992 36.20
1993 34.50
1994 32.80
1995 31.10
1996 29.20
1997 27.40
1998 25.60
1999 23.90
2000 22.30
2001 20.90
2002 19.70
2003 18.60
2004 17.70
2005 16.90
2006 16.10
2007 15.50
2008 15.00
2009 14.60
2010 14.30
2011 14.00
2012 13.80
2013 13.60
2014 13.50
2015 13.40
2016 13.30
2017 13.30
2018 13.20
2019 13.10
2020 12.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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