Early-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
Early-demographic dividend
Records
63
Source
Early-demographic dividend | Mortality rate, adult, male (per 1,000 male adults)
1960 382.94105114
1961 380.17554462
1962 376.86245956
1963 371.99226201
1964 368.13803576
1965 390.21967993
1966 371.59015019
1967 362.68222421
1968 351.24978165
1969 346.42049448
1970 345.82835645
1971 375.72055104
1972 332.89859462
1973 328.74973692
1974 323.66068054
1975 319.896133
1976 316.41976345
1977 312.92319379
1978 311.02857362
1979 307.01899851
1980 302.21951395
1981 301.38275977
1982 297.06026897
1983 291.34760246
1984 283.93226454
1985 277.91428969
1986 274.1942613
1987 269.09683736
1988 267.40285337
1989 263.29723094
1990 261.56646264
1991 259.18054103
1992 255.95610861
1993 254.94038326
1994 253.51009416
1995 250.77576779
1996 249.50031013
1997 248.05917542
1998 245.12778947
1999 243.10784667
2000 241.06956406
2001 239.76742089
2002 235.91907353
2003 234.15882338
2004 231.96068384
2005 228.15853797
2006 225.43499269
2007 223.99031046
2008 223.5943385
2009 221.40872994
2010 219.37228863
2011 216.29271118
2012 213.65753664
2013 210.64355191
2014 205.53937504
2015 201.58072292
2016 198.49919229
2017 195.85316999
2018 193.66699308
2019 191.86079386
2020 205.55693937
2021 234.99786414
2022
Early-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
Early-demographic dividend
Records
63
Source