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

The value for Mortality rate, neonatal (per 1,000 live births) in Haiti was 24.80 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 87.70 in 1960 and a minimum value of 24.80 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 87.70
1961 87.50
1962 87.20
1963 86.90
1964 86.60
1965 85.90
1966 85.10
1967 84.10
1968 83.00
1969 81.70
1970 80.30
1971 78.60
1972 76.70
1973 74.70
1974 72.50
1975 70.40
1976 68.20
1977 65.80
1978 63.60
1979 61.10
1980 58.70
1981 56.50
1982 54.50
1983 52.60
1984 50.90
1985 49.20
1986 47.40
1987 45.30
1988 43.00
1989 40.80
1990 38.90
1991 37.30
1992 36.00
1993 34.90
1994 34.00
1995 33.20
1996 32.50
1997 31.70
1998 31.00
1999 30.30
2000 29.80
2001 29.50
2002 29.30
2003 29.30
2004 29.40
2005 29.40
2006 29.30
2007 29.20
2008 29.00
2009 28.70
2010 30.60
2011 28.30
2012 28.10
2013 27.80
2014 27.50
2015 27.10
2016 26.60
2017 26.20
2018 25.70
2019 25.20
2020 24.80

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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