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