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