Central African Republic - Mortality rate, under-5, female (per 1,000 live births)

The value for Mortality rate, under-5, female (per 1,000 live births) in Central African Republic was 96.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 273.10 in 1960 and a minimum value of 96.70 in 2020.

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified 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 273.10
1961 267.80
1962 262.30
1963 257.10
1964 251.20
1965 245.40
1966 239.60
1967 233.50
1968 227.70
1969 222.00
1970 216.70
1971 211.80
1972 207.00
1973 202.60
1974 198.60
1975 194.90
1976 191.20
1977 187.80
1978 184.60
1979 181.60
1980 178.80
1981 176.50
1982 174.50
1983 173.00
1984 171.70
1985 170.60
1986 169.50
1987 168.60
1988 168.10
1989 168.30
1990 168.80
1991 168.90
1992 168.80
1993 168.30
1994 167.50
1995 166.80
1996 166.10
1997 165.30
1998 164.30
1999 163.10
2000 162.00
2001 160.40
2002 158.90
2003 157.40
2004 155.70
2005 153.90
2006 151.20
2007 148.60
2008 145.90
2009 142.00
2010 137.90
2011 133.60
2012 129.30
2013 125.70
2014 121.50
2015 116.80
2016 111.60
2017 107.90
2018 104.50
2019 100.20
2020 96.70

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