Europe & Central Asia (excluding high 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
Europe & Central Asia (excluding high income)
Records
63
Source
Europe & Central Asia (excluding high income) | Mortality rate, adult, male (per 1,000 male adults)
1960 268.46407451
1961 266.62488433
1962 266.09842604
1963 262.63097845
1964 257.3216132
1965 263.17263162
1966 265.77329904
1967 270.11855039
1968 274.95784216
1969 283.62873881
1970 285.5896201
1971 286.21035827
1972 284.08151054
1973 283.43280001
1974 285.88315377
1975 293.86995714
1976 296.2951322
1977 302.75417422
1978 305.06961558
1979 309.99650547
1980 311.13759717
1981 307.89407853
1982 302.88609327
1983 302.95080668
1984 307.43579786
1985 290.89145692
1986 262.24433313
1987 261.75414575
1988 265.26894564
1989 273.44930006
1990 280.65163609
1991 287.28028729
1992 318.3882569
1993 354.63258958
1994 369.51024062
1995 363.07427401
1996 343.42739727
1997 324.79826286
1998 316.56198894
1999 331.93604681
2000 339.75290323
2001 341.3313027
2002 344.98549638
2003 346.27110417
2004 342.05541262
2005 342.32186097
2006 321.73031417
2007 309.30151903
2008 303.58859756
2009 284.20115778
2010 276.47233756
2011 266.11448889
2012 255.81670143
2013 247.83412336
2014 238.89047782
2015
2016
2017
2018
2019
2020
2021
2022
Europe & Central Asia (excluding high 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
Europe & Central Asia (excluding high income)
Records
63
Source