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

The value for Mortality rate, infant, female (per 1,000 live births) in Malawi was 25.60 as of 2020. As the graph below shows, over the past 55 years this indicator reached a maximum value of 199.20 in 1965 and a minimum value of 25.60 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
1965 199.20
1966 198.50
1967 197.60
1968 196.40
1969 195.50
1970 193.40
1971 190.50
1972 186.40
1973 181.80
1974 176.90
1975 171.60
1976 166.20
1977 160.60
1978 154.70
1979 148.60
1980 143.60
1981 139.30
1982 136.90
1983 136.80
1984 138.80
1985 141.20
1986 142.80
1987 142.80
1988 141.40
1989 138.50
1990 134.60
1991 130.20
1992 125.70
1993 121.40
1994 117.20
1995 113.60
1996 110.60
1997 107.40
1998 103.70
1999 99.20
2000 93.30
2001 85.90
2002 77.90
2003 70.30
2004 63.90
2005 59.00
2006 55.70
2007 53.70
2008 50.80
2009 48.80
2010 46.90
2011 43.50
2012 40.50
2013 37.40
2014 34.70
2015 32.50
2016 30.50
2017 29.00
2018 27.60
2019 26.50
2020 25.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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