Lower middle income | 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
Lower middle income
Records
63
Source
Lower middle income | Mortality rate, adult, male (per 1,000 male adults)
1960 386.82544317
1961 384.98455596
1962 381.26092841
1963 377.72816062
1964 373.99478018
1965 379.76451327
1966 375.04143973
1967 374.25570863
1968 364.55376232
1969 359.0569446
1970 356.7793962
1971 390.25364726
1972 346.64591761
1973 339.58742653
1974 335.57061321
1975 327.93080284
1976 323.26335317
1977 319.44125292
1978 318.10580295
1979 315.05810597
1980 311.37594813
1981 309.91988541
1982 306.41808822
1983 301.26820461
1984 295.25690944
1985 290.29354392
1986 285.73768512
1987 283.57994484
1988 281.67220676
1989 278.3062653
1990 277.36469572
1991 276.4932363
1992 275.35800239
1993 274.8957406
1994 274.37626284
1995 273.78974919
1996 272.49953737
1997 270.77376942
1998 267.44541778
1999 264.10254538
2000 263.50874098
2001 261.7281366
2002 258.11921961
2003 254.94371604
2004 251.40295241
2005 248.19345447
2006 244.64117334
2007 243.71262841
2008 243.36820046
2009 239.95263082
2010 237.49183761
2011 233.98147307
2012 230.73310557
2013 227.19934885
2014 221.06847601
2015 216.66981088
2016 212.40467535
2017 209.57716157
2018 207.42458317
2019 206.441959
2020 214.20087901
2021 245.48312184
2022
Lower middle income | 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
Lower middle income
Records
63
Source