East Asia & Pacific | 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
East Asia & Pacific
Records
63
Source
East Asia & Pacific | Mortality rate, adult, female (per 1,000 female adults)
399.80050725 1960
351.59182833 1961
293.03446915 1962
287.0965245 1963
278.48528801 1964
276.37173517 1965
267.39765255 1966
256.58348576 1967
251.19349428 1968
244.16678665 1969
236.23656804 1970
227.79347993 1971
221.39218826 1972
211.46757672 1973
204.38338289 1974
198.52155604 1975
191.82590843 1976
184.46650046 1977
177.9092524 1978
172.01169061 1979
167.31702024 1980
162.07459987 1981
157.51933919 1982
153.3099235 1983
149.24950765 1984
145.17159956 1985
140.76770411 1986
137.24101403 1987
133.87031155 1988
130.27353023 1989
128.43323273 1990
128.2096032 1991
122.63541226 1992
117.25056078 1993
116.53951625 1994
113.64085315 1995
112.35115463 1996
109.36732229 1997
105.85022523 1998
106.03714699 1999
103.70712046 2000
97.6373935 2001
96.14503568 2002
93.21974453 2003
95.37394695 2004
91.07359123 2005
88.91469368 2006
87.66886909 2007
90.44688813 2008
84.63543247 2009
84.07556257 2010
82.91563119 2011
81.35310296 2012
79.54047525 2013
78.44430694 2014
77.46654635 2015
76.47667635 2016
75.54303323 2017
73.38618725 2018
72.54931098 2019
73.8484398 2020
78.1022519 2021
2022
East Asia & Pacific | 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
East Asia & Pacific
Records
63
Source