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