Sub-Saharan Africa (IDA & IBRD countries) | 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
Sub-Saharan Africa (IDA & IBRD countries)
Records
63
Source
Sub-Saharan Africa (IDA & IBRD countries) | Mortality rate, adult, male (per 1,000 male adults)
1960 467.76436776
1961 467.3664075
1962 457.38401269
1963 458.53192849
1964 454.30150787
1965 454.46909808
1966 455.30325944
1967 461.01241072
1968 453.95047862
1969 451.72244188
1970 440.87332588
1971 434.67252409
1972 435.09884364
1973 422.45804392
1974 419.95778274
1975 416.29540622
1976 411.49159733
1977 407.75718053
1978 407.89521362
1979 401.9544097
1980 398.61623709
1981 395.10745316
1982 395.13630587
1983 406.80042565
1984 413.20913833
1985 411.90693066
1986 410.17349632
1987 414.83707586
1988 421.00740122
1989 408.89191119
1990 415.87770426
1991 417.01511144
1992 424.49352135
1993 426.09507884
1994 418.52802036
1995 421.03299001
1996 426.95892228
1997 427.32012326
1998 439.9635386
1999 432.0020864
2000 418.91004558
2001 418.80461055
2002 417.7897986
2003 413.72460441
2004 409.72514881
2005 403.55042062
2006 394.54256681
2007 388.37518872
2008 382.09126098
2009 373.69467977
2010 365.49058033
2011 356.89900914
2012 349.72264151
2013 343.99756207
2014 338.50910328
2015 333.59420564
2016 326.66572357
2017 321.58615904
2018 317.19957479
2019 312.39278529
2020 322.00472947
2021 338.38296622
2022
Sub-Saharan Africa (IDA & IBRD countries) | 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
Sub-Saharan Africa (IDA & IBRD countries)
Records
63
Source