Lower middle 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
Lower middle income
Records
63
Source
Lower middle income | Mortality rate, adult, female (per 1,000 female adults)
354.86121826 1960
353.18975005 1961
351.59450244 1962
349.36743917 1963
345.39798817 1964
348.86920765 1965
342.7291912 1966
338.28563556 1967
327.82144041 1968
322.21639285 1969
323.61915245 1970
328.18469767 1971
311.17708673 1972
305.51028645 1973
301.84438305 1974
296.76699137 1975
291.55788117 1976
282.17290779 1977
274.69684796 1978
266.79389039 1979
259.75612075 1980
253.18459671 1981
247.1504393 1982
241.01525257 1983
235.8915149 1984
232.41659817 1985
229.09924725 1986
226.59450313 1987
223.67288949 1988
221.69169025 1989
220.15794279 1990
219.49853167 1991
216.68502724 1992
216.94440946 1993
216.06063022 1994
215.46528783 1995
214.4366254 1996
210.76724025 1997
207.25535437 1998
203.23858212 1999
201.28130526 2000
198.52843522 2001
194.11595341 2002
190.20999465 2003
186.40827818 2004
181.43162924 2005
176.2175783 2006
173.26348562 2007
172.23562977 2008
167.31797608 2009
164.21347762 2010
160.28466144 2011
158.2166118 2012
156.4254385 2013
156.28024065 2014
155.45152134 2015
154.30357239 2016
151.9592212 2017
150.36837697 2018
148.40016668 2019
153.85539862 2020
177.6266101 2021
2022
Lower middle 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
Lower middle income
Records
63
Source