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