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