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
High income
Records
63
Source
High income | Mortality rate, adult, female (per 1,000 female adults)
1960 132.14617711
1961 128.45581428
1962 129.10614895
1963 127.32753774
1964 123.45569177
1965 122.2336
1966 119.93345364
1967 117.70979631
1968 118.19954021
1969 118.51762827
1970 116.45933728
1971 114.14259458
1972 112.34456353
1973 110.7113497
1974 107.10320503
1975 104.79984437
1976 102.78358721
1977 100.64699554
1978 98.68182906
1979 96.06528278
1980 95.98224779
1981 92.39235784
1982 90.53456715
1983 90.44830016
1984 87.97437913
1985 87.2086931
1986 85.53937042
1987 84.62251786
1988 83.30753221
1989 82.00177744
1990 80.09959945
1991 79.3504047
1992 77.76332977
1993 77.4874771
1994 76.31839117
1995 76.05671193
1996 74.31995485
1997 72.58599369
1998 71.27277568
1999 70.6743937
2000 69.47349491
2001 68.67993185
2002 67.90706386
2003 67.69625724
2004 65.86502882
2005 65.12682341
2006 63.97164774
2007 62.90015541
2008 61.77146026
2009 61.0784077
2010 59.39832224
2011 59.43632554
2012 58.02252468
2013 57.40707782
2014 56.94855397
2015 57.03975871
2016 56.96084718
2017 56.35678381
2018 55.79448981
2019 54.8151961
2020 61.81771747
2021
2022
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
High income
Records
63
Source