Tanzania | 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
United Republic of Tanzania
Records
63
Source
Tanzania | Mortality rate, adult, male (per 1,000 male adults)
1960 469.107
1961 468.808
1962 466.106
1963 466.819
1964 463.142
1965 464.22
1966 461.817
1967 461.085
1968 453.198
1969 444.96
1970 441.004
1971 433.433
1972 425.958
1973 418.682
1974 418.464
1975 414.092
1976 407.436
1977 399.175
1978 393.554
1979 385.204
1980 383.19
1981 380.594
1982 378.021
1983 378.285
1984 380.196
1985 380.67
1986 380.169
1987 383.214
1988 382.623
1989 393.689
1990 401.064
1991 413.402
1992 425.604
1993 430.594
1994 439.019
1995 439.353
1996 443.643
1997 445.877
1998 445.723
1999 438.642
2000 433.947
2001 429.795
2002 427.391
2003 413.059
2004 406.905
2005 400.133
2006 398.989
2007 396.026
2008 389.278
2009 375.987
2010 361.914
2011 349.568
2012 333.244
2013 318.49
2014 302.08
2015 285.557
2016 270.231
2017 257.16
2018 247.018
2019 240.126
2020 247.468
2021 252.891
2022
Tanzania | 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
United Republic of Tanzania
Records
63
Source