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