Low & 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
Low & middle income
Records
63
Source
Low & middle income | Mortality rate, adult, male (per 1,000 male adults)
1960 443.10700124
1961 416.87228036
1962 383.87251187
1963 378.80173921
1964 372.09050629
1965 379.43884011
1966 367.41284479
1967 361.06503286
1968 353.25232377
1969 347.82305745
1970 342.85899189
1971 350.44351215
1972 328.74949054
1973 320.55185381
1974 316.35706202
1975 310.84296544
1976 305.60694602
1977 301.3440551
1978 298.38751391
1979 294.37092584
1980 290.84550015
1981 287.59844834
1982 283.49592257
1983 279.58397821
1984 275.66730688
1985 269.75376833
1986 263.17893867
1987 260.25223352
1988 258.88688727
1989 254.80716005
1990 254.22295954
1991 251.79091508
1992 251.24972161
1993 252.02010578
1994 250.49380585
1995 248.68958396
1996 245.91311355
1997 242.30397523
1998 240.81861078
1999 238.58578866
2000 236.90386455
2001 235.11032436
2002 232.76784435
2003 230.63469457
2004 228.64172831
2005 225.22141469
2006 221.07403389
2007 219.01992536
2008 217.98797503
2009 213.84190789
2010 211.40331437
2011 208.15333837
2012 205.49390006
2013 202.64959766
2014 198.33465473
2015 192.66245476
2016 190.44977858
2017 189.0006516
2018 185.91545331
2019 184.11304284
2020 194.43388754
2021 213.75062431
2022
Low & 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
Low & middle income
Records
63
Source