Hungary | 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
Hungary
Records
63
Source
Hungary | Mortality rate, adult, male (per 1,000 male adults)
188.825 1960
180.848 1961
189.925 1962
186.217 1963
181.449 1964
182.621 1965
176.357 1966
184.688 1967
190.728 1968
193.371 1969
199.399 1970
207.104 1971
202.01 1972
202.101 1973
208.94 1974
213.849 1975
215.935 1976
222.5 1977
239.469 1978
246.615 1979
263.226 1980
271.782 1981
270.435 1982
288.808 1983
291.369 1984
291.392 1985
289.983 1986
283.412 1987
278.613 1988
298.822 1989
305.087 1990
306.528 1991
325.073 1992
328.648 1993
326.483 1994
317.913 1995
296.354 1996
287.483 1997
292.771 1998
290.064 1999
271.44 2000
260.615 2001
259.032 2002
257.047 2003
252.792 2004
256.342 2005
249.886 2006
245.63 2007
233.087 2008
228.461 2009
218.943 2010
206.225 2011
195.724 2012
182.243 2013
179.963 2014
177.627 2015
172.279 2016
168.058 2017
166.734 2018
159.172 2019
164.516 2020
2021
2022
Hungary | 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
Hungary
Records
63
Source