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

The value for Mortality rate, infant, male (per 1,000 live births) in Lesotho was 76.60 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 149.20 in 1965 and a minimum value of 73.00 in 1992.

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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 148.70
1961 148.00
1962 148.00
1963 148.40
1964 148.90
1965 149.20
1966 148.90
1967 147.90
1968 146.30
1969 144.10
1970 141.50
1971 138.80
1972 135.80
1973 132.60
1974 129.20
1975 125.30
1976 121.10
1977 116.60
1978 112.00
1979 107.30
1980 102.70
1981 98.30
1982 94.10
1983 90.40
1984 87.00
1985 83.80
1986 81.10
1987 78.80
1988 76.70
1989 75.00
1990 73.80
1991 73.10
1992 73.00
1993 73.60
1994 74.40
1995 75.30
1996 75.80
1997 75.90
1998 75.90
1999 76.20
2000 76.70
2001 77.30
2002 78.10
2003 79.20
2004 80.10
2005 81.10
2006 81.70
2007 80.90
2008 84.40
2009 80.70
2010 77.80
2011 75.70
2012 76.80
2013 77.70
2014 78.70
2015 79.50
2016 79.90
2017 80.00
2018 78.70
2019 78.20
2020 76.60

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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