Upper middle 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
Upper middle income
Records
63
Source
Upper middle income | Mortality rate, adult, male (per 1,000 male adults)
482.99161082 1960
435.87226747 1961
377.1031684 1962
369.8274466 1963
361.00039197 1964
370.03422059 1965
350.91430264 1966
340.44122963 1967
333.86447842 1968
328.25086683 1969
321.1951158 1970
310.70227572 1971
302.82443733 1972
294.44043437 1973
290.15738627 1974
285.92644826 1975
280.13969182 1976
275.42048363 1977
270.90915072 1978
266.42751056 1979
263.03527879 1980
258.31999895 1981
252.7391894 1982
247.93465133 1983
243.68061352 1984
236.94870583 1985
228.79146482 1986
224.96093352 1987
223.21923596 1988
220.69383622 1989
219.48130735 1990
215.89777374 1991
214.77535464 1992
217.12609117 1993
215.83973898 1994
211.47121108 1995
206.43466462 1996
201.06940052 1997
198.12330416 1998
198.24876907 1999
197.92341398 2000
196.05966982 2001
194.46795603 2002
194.02261581 2003
193.20145766 2004
189.41503838 2005
185.16692291 2006
182.12570326 2007
180.48544132 2008
175.45852113 2009
172.84243043 2010
169.53600382 2011
166.09247437 2012
162.97807072 2013
160.04629317 2014
149.5951524 2015
149.27359485 2016
148.64715511 2017
143.55282735 2018
140.84119411 2019
153.40650193 2020
159.65154007 2021
2022
Upper middle 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
Upper middle income
Records
63
Source