Low income | 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
Low income
Records
63
Source
Low income | Mortality rate, adult, male (per 1,000 male adults)
467.9296691 1960
466.62905953 1961
464.26446266 1962
468.18533052 1963
459.51400169 1964
462.53350385 1965
464.11029552 1966
457.04073664 1967
451.82606215 1968
449.12204577 1969
445.28832826 1970
439.38924085 1971
444.59105111 1972
430.51720507 1973
425.14269638 1974
421.39868018 1975
415.86159439 1976
412.23947507 1977
413.23409225 1978
407.74031988 1979
404.89785839 1980
403.25898507 1981
408.48904237 1982
421.54412272 1983
435.68630172 1984
430.3013281 1985
423.70588599 1986
422.93665799 1987
427.87484938 1988
402.47847165 1989
407.82087106 1990
401.76219127 1991
406.99122657 1992
398.47476393 1993
384.16479765 1994
392.38062081 1995
395.09479091 1996
390.19397905 1997
410.46256903 1998
392.5487107 1999
368.63573501 2000
363.94993509 2001
361.08118686 2002
349.58080915 2003
345.89660967 2004
340.83755381 2005
329.91762433 2006
323.62070439 2007
318.63206139 2008
312.05024444 2009
306.8795686 2010
301.55013726 2011
303.75957014 2012
303.13802396 2013
299.77283982 2014
298.2860635 2015
293.22564467 2016
290.86844571 2017
288.85422246 2018
281.9970035 2019
290.81998992 2020
304.71114377 2021
2022
Low income | 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
Low income
Records
63
Source