Africa Eastern and Southern | 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 Eastern and Southern
Records
63
Source
Africa Eastern and Southern | Mortality rate, adult, female (per 1,000 female adults)
1960 384.24506442
1961 379.76256613
1962 376.87390932
1963 374.19678174
1964 366.66074104
1965 367.76397238
1966 372.02864801
1967 365.14796076
1968 361.48469286
1969 358.33832569
1970 355.06524786
1971 346.33513956
1972 353.19205579
1973 343.33225484
1974 342.63655465
1975 343.07856567
1976 336.2566428
1977 331.83184778
1978 328.70917434
1979 323.95773311
1980 319.8237222
1981 312.84084485
1982 311.888493
1983 328.31950578
1984 330.2284253
1985 329.50667073
1986 325.7914698
1987 327.2966697
1988 335.12967367
1989 327.43141882
1990 330.88711563
1991 336.92998704
1992 346.43513721
1993 348.33830765
1994 347.75969202
1995 348.87271035
1996 358.78489113
1997 363.8413414
1998 376.08311531
1999 371.3514336
2000 373.85546821
2001 379.64819224
2002 380.09178685
2003 380.38686827
2004 376.7758932
2005 369.20892014
2006 357.33746477
2007 346.66472633
2008 335.16873315
2009 320.30966058
2010 306.3464798
2011 290.94092102
2012 278.05981853
2013 266.06321772
2014 255.15141703
2015 247.3344479
2016 237.97788872
2017 231.68821637
2018 224.1193157
2019 218.64325075
2020 224.23200088
2021 237.60267621
2022
Africa Eastern and Southern | 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 Eastern and Southern
Records
63
Source