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