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
High income
Records
63
Source
High income | Mortality rate, adult, male (per 1,000 male adults)
1960 217.97961429
1961 214.30664807
1962 216.48044914
1963 216.32820489
1964 211.74114545
1965 211.19867363
1966 209.62542888
1967 208.08973633
1968 209.67296399
1969 211.54840125
1970 208.25055677
1971 206.37830174
1972 204.86165903
1973 202.94466635
1974 198.41678186
1975 195.97657522
1976 193.97744516
1977 191.92880152
1978 190.40332222
1979 187.34036532
1980 187.4541053
1981 182.08364066
1982 178.20110502
1983 178.40684554
1984 175.06073768
1985 173.61883592
1986 170.91202412
1987 168.34973833
1988 166.5195376
1989 165.5552675
1990 162.77786672
1991 161.95488717
1992 159.11647407
1993 157.61957195
1994 155.59121343
1995 154.27385178
1996 149.16445766
1997 143.87936713
1998 140.93830687
1999 139.13506619
2000 135.73504584
2001 133.49342668
2002 131.79638239
2003 130.84038121
2004 127.32678182
2005 126.0068807
2006 123.63797153
2007 121.15199369
2008 118.36470013
2009 115.68261062
2010 112.49541652
2011 110.24786684
2012 107.54155889
2013 105.38078808
2014 103.45797919
2015 103.5594771
2016 103.0431411
2017 102.08472125
2018 101.15249898
2019 99.35062777
2020 110.68028113
2021
2022
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
High income
Records
63
Source