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)
389.3711687 1960
387.5615475 1961
384.254485 1962
381.31779789 1963
377.86407225 1964
386.80845148 1965
379.95811173 1966
374.41956039 1967
356.75530856 1968
350.70728415 1969
348.17210415 1970
402.86646488 1971
333.14750467 1972
327.36952205 1973
322.1338079 1974
316.44365404 1975
312.52141995 1976
310.55321827 1977
308.63583229 1978
307.28640704 1979
303.90174917 1980
299.24203948 1981
294.70504833 1982
288.79802439 1983
284.48533046 1984
279.13773212 1985
273.38339356 1986
271.34207179 1987
269.1741231 1988
267.36219271 1989
263.69644899 1990
263.41189921 1991
258.98704651 1992
256.84314213 1993
255.17734597 1994
254.14043259 1995
252.71504617 1996
251.4612935 1997
248.30724022 1998
243.68281285 1999
243.97753728 2000
241.98685498 2001
238.09353433 2002
234.10921585 2003
230.81316275 2004
227.87714979 2005
224.75388113 2006
224.96560407 2007
225.02725422 2008
224.64092139 2009
221.85533571 2010
220.31230353 2011
217.24571448 2012
213.51436809 2013
207.858766 2014
202.46296148 2015
197.91218545 2016
195.29017807 2017
193.45728112 2018
192.53858579 2019
200.99033579 2020
241.96543296 2021
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