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