South Asia (IDA & IBRD) | Mortality rate, adult, male (per 1,000 male adults)
Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. 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: Data from United Nations Population Division's World Populaton Prospects are originally 5-year period data and the presented are linearly interpolated by the World Bank for annual series. Therefore they may not reflect real events as much as observed data. 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. Where reliable age-specific mortality data are available, life tables can be constructed from age-specific mortality data, and adult mortality rates can be calculated from life tables.
Publisher
The World Bank
Origin
South Asia (IDA & IBRD)
Records
63
Source
South Asia (IDA & IBRD) | Mortality rate, adult, male (per 1,000 male adults)
1960 389.3711687
1961 387.5615475
1962 384.254485
1963 381.31779789
1964 377.86407225
1965 386.80845148
1966 379.95811173
1967 374.41956039
1968 356.75530856
1969 350.70728415
1970 348.17210415
1971 402.86646488
1972 333.14750467
1973 327.36952205
1974 322.1338079
1975 316.44365404
1976 312.52141995
1977 310.55321827
1978 308.63583229
1979 307.28640704
1980 303.90174917
1981 299.24203948
1982 294.70504833
1983 288.79802439
1984 284.48533046
1985 279.13773212
1986 273.38339356
1987 271.34207179
1988 269.1741231
1989 267.36219271
1990 263.69644899
1991 263.41189921
1992 258.98704651
1993 256.84314213
1994 255.17734597
1995 254.14043259
1996 252.71504617
1997 251.4612935
1998 248.30724022
1999 243.68281285
2000 243.97753728
2001 241.98685498
2002 238.09353433
2003 234.10921585
2004 230.81316275
2005 227.87714979
2006 224.75388113
2007 224.96560407
2008 225.02725422
2009 224.64092139
2010 221.85533571
2011 220.31230353
2012 217.24571448
2013 213.51436809
2014 207.858766
2015 202.46296148
2016 197.91218545
2017 195.29017807
2018 193.45728112
2019 192.53858579
2020 200.99033579
2021 241.96543296
2022
South Asia (IDA & IBRD) | Mortality rate, adult, male (per 1,000 male adults)
Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. 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: Data from United Nations Population Division's World Populaton Prospects are originally 5-year period data and the presented are linearly interpolated by the World Bank for annual series. Therefore they may not reflect real events as much as observed data. 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. Where reliable age-specific mortality data are available, life tables can be constructed from age-specific mortality data, and adult mortality rates can be calculated from life tables.
Publisher
The World Bank
Origin
South Asia (IDA & IBRD)
Records
63
Source