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

The value for Mortality rate, infant, female (per 1,000 live births) in Namibia was 27.00 as of 2020. As the graph below shows, over the past 53 years this indicator reached a maximum value of 60.60 in 1979 and a minimum value of 27.00 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
1967 57.10
1968 57.20
1969 57.40
1970 57.60
1971 57.80
1972 58.00
1973 58.30
1974 58.80
1975 59.20
1976 59.70
1977 60.20
1978 60.60
1979 60.60
1980 60.30
1981 59.50
1982 58.20
1983 56.60
1984 54.70
1985 52.70
1986 50.70
1987 48.90
1988 47.30
1989 45.80
1990 44.60
1991 43.60
1992 42.80
1993 42.40
1994 42.30
1995 42.40
1996 42.50
1997 42.40
1998 42.00
1999 41.50
2000 40.70
2001 39.90
2002 39.30
2003 39.10
2004 38.60
2005 35.50
2006 33.50
2007 33.80
2008 33.80
2009 34.60
2010 33.10
2011 33.20
2012 34.10
2013 32.10
2014 30.40
2015 29.90
2016 29.40
2017 28.80
2018 28.40
2019 27.70
2020 27.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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