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

The value for Mortality rate, infant, female (per 1,000 live births) in Niger was 41.30 as of 2020. As the graph below shows, over the past 53 years this indicator reached a maximum value of 129.00 in 1974 and a minimum value of 41.30 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 120.60
1968 122.00
1969 123.50
1970 124.90
1971 126.30
1972 127.70
1973 128.60
1974 129.00
1975 128.70
1976 127.70
1977 126.30
1978 124.60
1979 123.20
1980 122.30
1981 122.00
1982 122.70
1983 124.00
1984 125.50
1985 127.10
1986 128.30
1987 128.60
1988 128.40
1989 127.40
1990 125.90
1991 123.50
1992 120.50
1993 116.90
1994 112.90
1995 108.50
1996 104.20
1997 100.30
1998 96.90
1999 93.70
2000 90.70
2001 87.40
2002 83.80
2003 79.90
2004 76.00
2005 72.30
2006 68.80
2007 65.40
2008 62.30
2009 59.30
2010 56.50
2011 54.00
2012 51.90
2013 50.10
2014 48.50
2015 47.10
2016 45.70
2017 44.50
2018 43.40
2019 42.30
2020 41.30

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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