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

The value for Mortality rate, infant (per 1,000 live births) in Botswana was 36.10 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 114.60 in 1960 and a minimum value of 36.10 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 114.60
1961 111.40
1962 108.50
1963 105.50
1964 102.70
1965 100.10
1966 97.40
1967 94.70
1968 92.00
1969 89.20
1970 86.20
1971 83.10
1972 80.00
1973 76.70
1974 73.40
1975 70.00
1976 66.70
1977 63.30
1978 60.20
1979 57.20
1980 54.40
1981 51.80
1982 49.30
1983 46.90
1984 44.70
1985 42.70
1986 41.00
1987 39.50
1988 38.40
1989 37.80
1990 37.70
1991 38.30
1992 39.20
1993 40.30
1994 41.30
1995 42.40
1996 43.40
1997 44.40
1998 45.10
1999 45.60
2000 45.20
2001 44.60
2002 43.90
2003 43.10
2004 42.10
2005 38.90
2006 38.10
2007 39.50
2008 40.30
2009 40.10
2010 39.50
2011 41.10
2012 40.20
2013 39.40
2014 40.10
2015 39.60
2016 39.30
2017 38.20
2018 37.60
2019 36.90
2020 36.10

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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