Africa Western and Central | Mortality rate, adult, female (per 1,000 female adults)
Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female 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
Africa Western and Central
Records
63
Source
Africa Western and Central | Mortality rate, adult, female (per 1,000 female adults)
429.52364021 1960
426.33486591 1961
424.34936234 1962
421.43986197 1963
418.02333231 1964
415.87296677 1965
415.14891205 1966
416.95511883 1967
409.56197315 1968
408.44867869 1969
403.55921323 1970
400.02360005 1971
392.21053516 1972
387.28576999 1973
380.42097646 1974
372.16571011 1975
361.48967778 1976
352.13946207 1977
346.06557492 1978
343.8479033 1979
341.34873317 1980
341.21809834 1981
339.72007325 1982
337.62156351 1983
337.55185935 1984
337.20779251 1985
339.46025153 1986
335.69066692 1987
333.40374638 1988
331.8918278 1989
332.76508005 1990
335.75955812 1991
336.16707104 1992
336.63224381 1993
343.30951271 1994
344.2409821 1995
345.56925808 1996
346.88064881 1997
350.64869646 1998
347.99195012 1999
346.30039834 2000
346.58842861 2001
346.03949224 2002
342.45852186 2003
341.61249976 2004
337.94634916 2005
335.18612782 2006
332.18157148 2007
331.14709823 2008
325.17595797 2009
322.20054384 2010
316.79400736 2011
313.77869892 2012
310.04474973 2013
307.88015786 2014
305.30277932 2015
303.14239911 2016
298.74879513 2017
296.77713948 2018
292.12294302 2019
297.18974016 2020
305.21882061 2021
2022
Africa Western and Central | Mortality rate, adult, female (per 1,000 female adults)
Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female 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
Africa Western and Central
Records
63
Source