Sub-Saharan Africa (IDA & IBRD countries) | 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
Sub-Saharan Africa (IDA & IBRD countries)
Records
63
Source
Sub-Saharan Africa (IDA & IBRD countries) | Mortality rate, adult, female (per 1,000 female adults)
1960 403.98970434
1961 400.00342401
1962 397.43065597
1963 394.57104201
1964 388.70367909
1965 388.3156832
1966 390.38313197
1967 387.12378771
1968 381.80778194
1969 379.44795516
1970 375.42717844
1971 368.80790842
1972 369.48152496
1973 361.63397013
1974 358.32138727
1975 355.11997155
1976 346.67694155
1977 340.20418072
1978 335.84748477
1979 332.11269041
1980 328.6324184
1981 324.42081701
1982 323.19845863
1983 332.07896175
1984 333.16767149
1985 332.57569233
1986 331.21009537
1987 330.61489707
1988 334.44799745
1989 329.19337299
1990 331.6284371
1991 336.46783872
1992 342.37339072
1993 343.70249477
1994 345.99745956
1995 347.0383862
1996 353.54647642
1997 357.10728141
1998 365.96813633
1999 362.05821963
2000 362.89240966
2001 366.49672428
2002 366.55046657
2003 365.30806335
2004 362.79883205
2005 356.78417545
2006 348.5379623
2007 340.9156766
2008 333.57353048
2009 322.23873014
2010 312.62685305
2011 301.17539321
2012 292.1869852
2013 283.43701276
2014 275.96437571
2015 270.19641081
2016 263.66909374
2017 258.13423632
2018 252.77155392
2019 247.61010129
2020 252.98503796
2021 264.24771656
2022
Sub-Saharan Africa (IDA & IBRD countries) | 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
Sub-Saharan Africa (IDA & IBRD countries)
Records
63
Source