Late-demographic dividend | 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
Late-demographic dividend
Records
63
Source
Late-demographic dividend | Mortality rate, adult, male (per 1,000 male adults)
488.67187092 1960
438.18666993 1961
375.52682703 1962
369.1603106 1963
359.10606181 1964
353.30945473 1965
345.74212734 1966
339.32049323 1967
334.8342634 1968
328.3852618 1969
319.95404105 1970
310.23060561 1971
304.56487081 1972
294.15590301 1973
289.88523006 1974
281.87075168 1975
275.46702317 1976
270.09986281 1977
265.43443895 1978
260.76366836 1979
256.86974049 1980
250.66532199 1981
245.51930305 1982
241.68784499 1983
238.16360814 1984
232.18097086 1985
223.59287392 1986
219.5368011 1987
216.96328974 1988
215.43598232 1989
214.41788956 1990
210.80493524 1991
209.25329282 1992
211.15591744 1993
211.38296111 1994
207.75408642 1995
201.77662605 1996
195.43524332 1997
192.11352054 1998
191.38681293 1999
191.5510429 2000
188.91905132 2001
187.42659697 2002
184.80408972 2003
182.51340284 2004
179.06099829 2005
173.58857077 2006
170.34251815 2007
168.97105223 2008
163.75676722 2009
160.77624643 2010
157.13399098 2011
154.16747393 2012
150.67108783 2013
148.00251692 2014
135.55298895 2015
133.84895681 2016
133.78188185 2017
129.01923211 2018
126.52728449 2019
129.15867007 2020
132.74800013 2021
2022
Late-demographic dividend | 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
Late-demographic dividend
Records
63
Source