Low & middle 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
Low & middle income
Records
63
Source
Low & middle income | Mortality rate, adult, male (per 1,000 male adults)
443.10700124 1960
416.87228036 1961
383.87251187 1962
378.80173921 1963
372.09050629 1964
379.43884011 1965
367.41284479 1966
361.06503286 1967
353.25232377 1968
347.82305745 1969
342.85899189 1970
350.44351215 1971
328.74949054 1972
320.55185381 1973
316.35706202 1974
310.84296544 1975
305.60694602 1976
301.3440551 1977
298.38751391 1978
294.37092584 1979
290.84550015 1980
287.59844834 1981
283.49592257 1982
279.58397821 1983
275.66730688 1984
269.75376833 1985
263.17893867 1986
260.25223352 1987
258.88688727 1988
254.80716005 1989
254.22295954 1990
251.79091508 1991
251.24972161 1992
252.02010578 1993
250.49380585 1994
248.68958396 1995
245.91311355 1996
242.30397523 1997
240.81861078 1998
238.58578866 1999
236.90386455 2000
235.11032436 2001
232.76784435 2002
230.63469457 2003
228.64172831 2004
225.22141469 2005
221.07403389 2006
219.01992536 2007
217.98797503 2008
213.84190789 2009
211.40331437 2010
208.15333837 2011
205.49390006 2012
202.64959766 2013
198.33465473 2014
192.66245476 2015
190.44977858 2016
189.0006516 2017
185.91545331 2018
184.11304284 2019
194.43388754 2020
213.75062431 2021
2022

Low & middle 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
Low & middle income
Records
63
Source