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

The value for Mortality rate, infant, male (per 1,000 live births) in Niger was 49.80 as of 2020. As the graph below shows, over the past 53 years this indicator reached a maximum value of 145.00 in 1974 and a minimum value of 49.80 in 2020.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 136.40
1968 137.80
1969 139.30
1970 140.90
1971 142.30
1972 143.60
1973 144.60
1974 145.00
1975 144.50
1976 143.60
1977 142.10
1978 140.30
1979 138.90
1980 138.10
1981 137.90
1982 138.60
1983 139.90
1984 141.40
1985 142.80
1986 143.80
1987 143.90
1988 143.30
1989 141.90
1990 139.90
1991 137.70
1992 134.80
1993 131.20
1994 126.80
1995 122.20
1996 117.50
1997 113.40
1998 109.70
1999 106.30
2000 103.00
2001 99.70
2002 96.10
2003 92.20
2004 88.20
2005 84.30
2006 80.40
2007 76.80
2008 73.30
2009 70.00
2010 66.90
2011 64.20
2012 61.80
2013 59.70
2014 58.00
2015 56.30
2016 54.80
2017 53.50
2018 52.20
2019 50.90
2020 49.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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