Africa Eastern and Southern | 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 Eastern and Southern
Records
63
Source
Africa Eastern and Southern | Mortality rate, adult, female (per 1,000 female adults)
384.24506442 1960
379.76256613 1961
376.87390932 1962
374.19678174 1963
366.66074104 1964
367.76397238 1965
372.02864801 1966
365.14796076 1967
361.48469286 1968
358.33832569 1969
355.06524786 1970
346.33513956 1971
353.19205579 1972
343.33225484 1973
342.63655465 1974
343.07856567 1975
336.2566428 1976
331.83184778 1977
328.70917434 1978
323.95773311 1979
319.8237222 1980
312.84084485 1981
311.888493 1982
328.31950578 1983
330.2284253 1984
329.50667073 1985
325.7914698 1986
327.2966697 1987
335.12967367 1988
327.43141882 1989
330.88711563 1990
336.92998704 1991
346.43513721 1992
348.33830765 1993
347.75969202 1994
348.87271035 1995
358.78489113 1996
363.8413414 1997
376.08311531 1998
371.3514336 1999
373.85546821 2000
379.64819224 2001
380.09178685 2002
380.38686827 2003
376.7758932 2004
369.20892014 2005
357.33746477 2006
346.66472633 2007
335.16873315 2008
320.30966058 2009
306.3464798 2010
290.94092102 2011
278.05981853 2012
266.06321772 2013
255.15141703 2014
247.3344479 2015
237.97788872 2016
231.68821637 2017
224.1193157 2018
218.64325075 2019
224.23200088 2020
237.60267621 2021
2022
Africa Eastern and Southern | 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 Eastern and Southern
Records
63
Source