Africa Western and Central | 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
Africa Western and Central
Records
63
Source
Africa Western and Central | Mortality rate, adult, male (per 1,000 male adults)
1960 492.57172565
1961 489.00120283
1962 470.80247808
1963 469.11290427
1964 467.82971391
1965 463.38615884
1966 462.67737484
1967 484.57038317
1968 473.39326093
1969 470.01047842
1970 448.99285393
1971 442.32618326
1972 434.20350638
1973 427.0844008
1974 420.80787125
1975 414.09758816
1976 406.20764123
1977 399.69624425
1978 396.47485911
1979 394.20868766
1980 393.00678735
1981 390.64077635
1982 389.96174863
1983 387.46239306
1984 386.96875983
1985 388.19451986
1986 389.19810919
1987 391.21918695
1988 386.015904
1989 384.95503227
1990 391.91102131
1991 391.65383814
1992 393.28411357
1993 393.27414488
1994 398.81687964
1995 399.9978388
1996 401.17633376
1997 401.683533
1998 398.48376953
1999 395.63421693
2000 389.59596641
2001 387.78396616
2002 386.51894512
2003 383.39600351
2004 380.09378414
2005 375.32504589
2006 370.22698248
2007 367.14267398
2008 362.60154667
2009 357.44263525
2010 353.4993305
2011 348.73862623
2012 345.97125325
2013 343.31222286
2014 341.80784987
2015 339.66465447
2016 333.25441666
2017 332.07986153
2018 329.08740639
2019 326.63557556
2020 337.58734138
2021 346.62009669
2022
Africa Western and Central | 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
Africa Western and Central
Records
63
Source