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

The value for Mortality rate, neonatal (per 1,000 live births) in Mauritania was 31.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 58.00 in 1966 and a minimum value of 31.20 in 2020.

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 57.20
1961 57.30
1962 57.40
1963 57.70
1964 57.80
1965 58.00
1966 58.00
1967 57.80
1968 57.50
1969 57.20
1970 57.10
1971 57.20
1972 57.30
1973 57.40
1974 57.40
1975 57.30
1976 57.00
1977 56.70
1978 56.20
1979 55.90
1980 55.80
1981 55.90
1982 55.70
1983 55.30
1984 54.30
1985 53.10
1986 51.70
1987 50.20
1988 48.70
1989 47.50
1990 46.40
1991 45.60
1992 45.00
1993 44.60
1994 44.40
1995 44.30
1996 44.10
1997 43.90
1998 43.40
1999 42.90
2000 42.50
2001 42.10
2002 41.80
2003 41.50
2004 41.30
2005 40.90
2006 40.40
2007 39.90
2008 39.30
2009 38.60
2010 37.90
2011 37.20
2012 36.50
2013 35.80
2014 35.20
2015 34.60
2016 33.80
2017 33.10
2018 32.40
2019 31.80
2020 31.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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