IDA only | 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 only
Records
63
Source
IDA only | Mortality rate, adult, female (per 1,000 female adults)
384.40027566 1960
380.12494246 1961
376.11461213 1962
376.41604965 1963
367.93267372 1964
370.49873051 1965
366.65664737 1966
360.61790135 1967
357.0624608 1968
354.69287332 1969
372.83448002 1970
391.14819302 1971
349.67533065 1972
342.1439683 1973
341.63963967 1974
345.43832679 1975
342.08484127 1976
331.39881878 1977
324.64262985 1978
319.59039493 1979
314.88515892 1980
312.28370569 1981
310.50056503 1982
316.2118558 1983
315.25566108 1984
313.41349586 1985
309.70754615 1986
307.22093056 1987
310.70665107 1988
307.13438375 1989
306.89893847 1990
311.85426968 1991
305.31204442 1992
303.97818007 1993
299.68756499 1994
295.16704039 1995
297.96478382 1996
289.04052085 1997
285.52618401 1998
273.84811038 1999
272.92311128 2000
270.00458957 2001
266.39330656 2002
261.36695823 2003
260.85708391 2004
253.20501929 2005
247.57433021 2006
243.26525886 2007
244.2549784 2008
231.8161088 2009
226.45561911 2010
216.74973868 2011
210.00380985 2012
203.17025968 2013
199.69678557 2014
195.41471565 2015
188.88361292 2016
185.08976072 2017
180.5708736 2018
175.76632591 2019
184.72583574 2020
192.07043806 2021
2022
IDA only | 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 only
Records
63
Source