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

The value for Mortality rate, infant, female (per 1,000 live births) in Mozambique was 48.70 as of 2020. As the graph below shows, over the past 53 years this indicator reached a maximum value of 172.70 in 1970 and a minimum value of 48.70 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 171.40
1968 172.10
1969 172.60
1970 172.70
1971 172.30
1972 172.00
1973 171.60
1974 171.10
1975 170.50
1976 170.10
1977 169.80
1978 169.80
1979 169.70
1980 169.80
1981 169.80
1982 169.30
1983 168.50
1984 167.20
1985 165.30
1986 163.40
1987 161.30
1988 159.40
1989 157.40
1990 155.20
1991 152.90
1992 150.30
1993 146.90
1994 143.00
1995 138.60
1996 133.00
1997 126.60
1998 119.90
1999 113.30
2000 106.90
2001 100.80
2002 95.20
2003 90.30
2004 85.70
2005 81.70
2006 78.00
2007 72.90
2008 70.60
2009 67.90
2010 67.70
2011 64.20
2012 61.80
2013 60.10
2014 58.60
2015 56.90
2016 55.10
2017 53.30
2018 51.70
2019 50.10
2020 48.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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