Congo, Rep. | 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
Republic of the Congo
Records
63
Source
Congo, Rep. | Mortality rate, adult, male (per 1,000 male adults)
1960 456.271
1961 451.581
1962 443.835
1963 439.456
1964 435.951
1965 434.602
1966 430
1967 426.651
1968 425.017
1969 421.805
1970 417.341
1971 414.772
1972 413.648
1973 413.004
1974 409.736
1975 406.558
1976 407.088
1977 405.657
1978 407.201
1979 404.783
1980 404.903
1981 402.779
1982 406.629
1983 404.62
1984 401.838
1985 405.691
1986 410.706
1987 412.664
1988 419.679
1989 424.005
1990 428.173
1991 435.568
1992 429.751
1993 433.799
1994 434.439
1995 429.767
1996 427.962
1997 638.242
1998 497.903
1999 438.267
2000 411.302
2001 394.981
2002 386.864
2003 374.549
2004 360.682
2005 344.882
2006 339.404
2007 333.974
2008 325.259
2009 318.376
2010 313.485
2011 313.431
2012 305.779
2013 306.87
2014 305.682
2015 297.229
2016 300.37
2017 299.231
2018 290.9
2019 315.626
2020 304.313
2021 305.437
2022
Congo, Rep. | 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
Republic of the Congo
Records
63
Source