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

The value for Mortality rate, infant (per 1,000 live births) in Pakistan was 54.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 185.10 in 1960 and a minimum value of 54.20 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 185.10
1961 178.80
1962 172.90
1963 167.40
1964 162.40
1965 157.80
1966 153.80
1967 150.40
1968 147.40
1969 144.70
1970 142.20
1971 139.90
1972 137.80
1973 135.80
1974 133.90
1975 132.20
1976 130.60
1977 129.00
1978 127.60
1979 126.10
1980 124.60
1981 123.00
1982 121.40
1983 119.80
1984 118.00
1985 116.20
1986 114.30
1987 112.50
1988 110.60
1989 108.80
1990 106.90
1991 104.90
1992 102.90
1993 100.80
1994 98.60
1995 96.20
1996 93.80
1997 91.40
1998 89.00
1999 86.70
2000 84.60
2001 82.60
2002 80.90
2003 79.30
2004 77.90
2005 76.60
2006 75.40
2007 74.10
2008 72.80
2009 71.50
2010 70.10
2011 68.60
2012 67.00
2013 65.40
2014 63.80
2015 62.10
2016 60.50
2017 58.90
2018 57.30
2019 55.70
2020 54.20

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 Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.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