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