Africa Western and Central | 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
Africa Western and Central
Records
63
Source
Africa Western and Central | Mortality rate, adult, female (per 1,000 female adults)
1960 429.52364021
1961 426.33486591
1962 424.34936234
1963 421.43986197
1964 418.02333231
1965 415.87296677
1966 415.14891205
1967 416.95511883
1968 409.56197315
1969 408.44867869
1970 403.55921323
1971 400.02360005
1972 392.21053516
1973 387.28576999
1974 380.42097646
1975 372.16571011
1976 361.48967778
1977 352.13946207
1978 346.06557492
1979 343.8479033
1980 341.34873317
1981 341.21809834
1982 339.72007325
1983 337.62156351
1984 337.55185935
1985 337.20779251
1986 339.46025153
1987 335.69066692
1988 333.40374638
1989 331.8918278
1990 332.76508005
1991 335.75955812
1992 336.16707104
1993 336.63224381
1994 343.30951271
1995 344.2409821
1996 345.56925808
1997 346.88064881
1998 350.64869646
1999 347.99195012
2000 346.30039834
2001 346.58842861
2002 346.03949224
2003 342.45852186
2004 341.61249976
2005 337.94634916
2006 335.18612782
2007 332.18157148
2008 331.14709823
2009 325.17595797
2010 322.20054384
2011 316.79400736
2012 313.77869892
2013 310.04474973
2014 307.88015786
2015 305.30277932
2016 303.14239911
2017 298.74879513
2018 296.77713948
2019 292.12294302
2020 297.18974016
2021 305.21882061
2022
Africa Western and Central | 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
Africa Western and Central
Records
63
Source