Low income | 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
Low income
Records
63
Source
Low income | Mortality rate, adult, female (per 1,000 female adults)
403.53867822 1960
398.88739017 1961
395.72325085 1962
392.96621884 1963
384.67629134 1964
385.97506524 1965
389.73464678 1966
382.76473549 1967
379.808646 1968
376.88873543 1969
373.96497279 1970
366.58999415 1971
371.74443108 1972
362.4466932 1973
358.98962317 1974
356.95719191 1975
349.01240893 1976
345.236538 1977
340.74737417 1978
335.95457503 1979
331.28085753 1980
328.57438438 1981
327.05984025 1982
339.95941342 1983
342.30358854 1984
340.86934874 1985
333.29512418 1986
330.86155191 1987
335.15823055 1988
322.55904682 1989
322.53689769 1990
325.29577538 1991
330.36179624 1992
324.77136883 1993
321.49049672 1994
322.8505567 1995
324.5299629 1996
321.79316126 1997
327.41046331 1998
315.90564833 1999
311.02767906 2000
308.97445095 2001
306.36204363 2002
297.80608129 2003
294.30950926 2004
287.61722219 2005
278.20933426 2006
270.41865259 2007
264.62299825 2008
255.42184532 2009
250.21716648 2010
242.75255845 2011
238.16901901 2012
231.75739748 2013
227.20065071 2014
223.22072909 2015
215.75509341 2016
211.69697558 2017
205.50696375 2018
201.05205202 2019
207.9059433 2020
214.93884265 2021
2022
Low income | 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
Low income
Records
63
Source