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

The value for Mortality rate, infant (per 1,000 live births) in Haiti was 46.70 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 193.70 in 1960 and a minimum value of 46.70 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 193.70
1961 190.60
1962 187.60
1963 184.50
1964 181.60
1965 178.70
1966 175.50
1967 172.30
1968 169.10
1969 165.80
1970 162.40
1971 159.00
1972 155.60
1973 152.00
1974 148.50
1975 145.00
1976 141.60
1977 138.30
1978 135.00
1979 131.80
1980 128.60
1981 125.40
1982 122.40
1983 119.40
1984 116.50
1985 113.70
1986 111.00
1987 108.30
1988 105.70
1989 103.10
1990 100.50
1991 97.90
1992 95.30
1993 92.60
1994 90.00
1995 87.30
1996 84.60
1997 81.90
1998 79.30
1999 76.80
2000 74.50
2001 72.30
2002 70.30
2003 68.40
2004 66.70
2005 65.30
2006 63.80
2007 62.50
2008 61.30
2009 60.00
2010 102.60
2011 57.60
2012 56.40
2013 55.30
2014 54.10
2015 52.80
2016 51.50
2017 50.30
2018 49.00
2019 47.80
2020 46.70

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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