IDA blend | 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
IDA blend
Records
63
Source
IDA blend | Mortality rate, adult, female (per 1,000 female adults)
403.29748649 1960
397.96816194 1961
393.57896789 1962
384.23039202 1963
376.18269337 1964
367.71757587 1965
359.10359327 1966
354.09146076 1967
341.12458616 1968
333.52757891 1969
321.89993914 1970
329.07165076 1971
311.15839542 1972
307.14260462 1973
305.21270441 1974
299.23126409 1975
290.95521776 1976
283.86514689 1977
278.2635758 1978
273.97204506 1979
268.31173158 1980
259.56850977 1981
256.95228488 1982
251.98082643 1983
250.0633653 1984
257.0044706 1985
262.93077066 1986
266.54507098 1987
263.15960708 1988
262.08015946 1989
259.97693335 1990
266.37138491 1991
275.25774126 1992
283.01403421 1993
288.99262039 1994
296.58419572 1995
296.5188831 1996
297.95014464 1997
299.22982348 1998
295.81802256 1999
294.89430178 2000
295.96038234 2001
293.32211312 2002
291.07773176 2003
286.401988 2004
286.41092311 2005
273.32180537 2006
269.56333062 2007
265.30615266 2008
261.00012689 2009
256.71421031 2010
251.11041181 2011
250.19766469 2012
246.28865902 2013
244.64943395 2014
242.21135373 2015
242.54141875 2016
237.0510496 2017
236.46555847 2018
235.45979501 2019
237.94658205 2020
245.80392129 2021
2022
IDA blend | 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
IDA blend
Records
63
Source