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