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

The value for Mortality rate, infant, male (per 1,000 live births) in Peru was 10.90 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 146.20 in 1960 and a minimum value of 10.90 in 2020.

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 146.20
1961 142.90
1962 139.50
1963 136.00
1964 132.20
1965 128.60
1966 125.00
1967 121.60
1968 118.40
1969 115.50
1970 122.70
1971 109.90
1972 107.20
1973 104.50
1974 101.70
1975 99.00
1976 96.80
1977 94.80
1978 93.00
1979 91.30
1980 89.60
1981 87.70
1982 85.60
1983 83.10
1984 80.20
1985 76.90
1986 73.50
1987 70.10
1988 66.90
1989 63.90
1990 61.10
1991 58.20
1992 55.20
1993 52.20
1994 49.10
1995 46.00
1996 43.00
1997 40.00
1998 37.20
1999 34.40
2000 31.90
2001 29.70
2002 27.60
2003 25.80
2004 24.10
2005 22.60
2006 21.20
2007 20.00
2008 18.80
2009 17.80
2010 16.90
2011 16.00
2012 15.30
2013 14.60
2014 13.90
2015 13.30
2016 12.80
2017 12.20
2018 11.80
2019 11.30
2020 10.90

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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