East Asia & Pacific (excluding high 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
East Asia & Pacific (excluding high income)
Records
63
Source
East Asia & Pacific (excluding high income) | Mortality rate, adult, female (per 1,000 female adults)
440.08103212 1960
384.74334804 1961
316.65655333 1962
311.14342811 1963
302.31059724 1964
300.62721263 1965
291.06256991 1966
279.3219062 1967
273.00636467 1968
264.88576197 1969
256.71289949 1970
247.76218539 1971
240.5520474 1972
229.14514121 1973
221.32042409 1974
214.96944403 1975
207.6692475 1976
199.11521423 1977
191.82641987 1978
185.49861218 1979
179.56895709 1980
174.66981951 1981
169.2145839 1982
164.09005653 1983
159.95621998 1984
155.33448339 1985
150.52930796 1986
146.57202452 1987
142.92540925 1988
139.01558744 1989
137.22695734 1990
137.14517109 1991
130.92009707 1992
124.85752508 1993
124.2148114 1994
120.79574863 1995
119.54272955 1996
116.30196012 1997
112.35101107 1998
112.59676746 1999
110.11478457 2000
103.45377457 2001
101.84039782 2002
98.52094017 2003
100.96503795 2004
96.17307432 2005
93.87323109 2006
92.57641792 2007
95.83942498 2008
89.46755763 2009
88.94968578 2010
87.49329501 2011
86.10183557 2012
84.15723053 2013
82.9802244 2014
82.00298696 2015
80.92742451 2016
80.00341594 2017
77.62524652 2018
76.75549558 2019
77.65066943 2020
81.89677666 2021
2022
East Asia & Pacific (excluding high 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
East Asia & Pacific (excluding high income)
Records
63
Source