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)
268.46407451 1960
266.62488433 1961
266.09842604 1962
262.63097845 1963
257.3216132 1964
263.17263162 1965
265.77329904 1966
270.11855039 1967
274.95784216 1968
283.62873881 1969
285.5896201 1970
286.21035827 1971
284.08151054 1972
283.43280001 1973
285.88315377 1974
293.86995714 1975
296.2951322 1976
302.75417422 1977
305.06961558 1978
309.99650547 1979
311.13759717 1980
307.89407853 1981
302.88609327 1982
302.95080668 1983
307.43579786 1984
290.89145692 1985
262.24433313 1986
261.75414575 1987
265.26894564 1988
273.44930006 1989
280.65163609 1990
287.28028729 1991
318.3882569 1992
354.63258958 1993
369.51024062 1994
363.07427401 1995
343.42739727 1996
324.79826286 1997
316.56198894 1998
331.93604681 1999
339.75290323 2000
341.3313027 2001
344.98549638 2002
346.27110417 2003
342.05541262 2004
342.32186097 2005
321.73031417 2006
309.30151903 2007
303.58859756 2008
284.20115778 2009
276.47233756 2010
266.11448889 2011
255.81670143 2012
247.83412336 2013
238.89047782 2014
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