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

The value for Mortality rate, infant (per 1,000 live births) in Mauritania was 49.00 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 130.40 in 1960 and a minimum value of 49.00 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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
1960 130.40
1961 127.60
1962 124.90
1963 122.10
1964 119.30
1965 116.50
1966 113.80
1967 111.10
1968 108.50
1969 106.40
1970 105.00
1971 104.10
1972 103.70
1973 103.40
1974 103.00
1975 102.10
1976 100.70
1977 98.90
1978 96.80
1979 94.70
1980 92.60
1981 90.50
1982 88.40
1983 86.20
1984 83.70
1985 81.10
1986 78.60
1987 76.30
1988 74.20
1989 72.60
1990 71.40
1991 70.60
1992 70.00
1993 69.60
1994 69.50
1995 69.40
1996 69.50
1997 69.40
1998 69.40
1999 69.30
2000 69.10
2001 68.90
2002 68.60
2003 68.30
2004 67.80
2005 67.00
2006 66.10
2007 65.00
2008 63.80
2009 62.50
2010 61.20
2011 60.00
2012 58.80
2013 57.50
2014 56.20
2015 55.00
2016 53.80
2017 52.60
2018 51.50
2019 50.20
2020 49.00

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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