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