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