South Asia (IDA & IBRD) | 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
South Asia (IDA & IBRD)
Records
63
Source
South Asia (IDA & IBRD) | Mortality rate, adult, female (per 1,000 female adults)
391.50889211 1960
390.6272731 1961
388.66829809 1962
387.04137887 1963
383.28282648 1964
390.06182804 1965
381.48066908 1966
374.48150398 1967
358.32093376 1968
351.5586772 1969
354.99449149 1970
365.01708005 1971
336.54029865 1972
331.62500984 1973
326.80749021 1974
319.40815614 1975
312.41196038 1976
303.59157595 1977
294.81562155 1978
285.45395245 1979
275.99045302 1980
266.65382782 1981
258.60971684 1982
250.7003618 1983
243.88842136 1984
239.43320561 1985
235.09536947 1986
231.68149953 1987
227.73905883 1988
225.86918517 1989
221.70369266 1990
221.75130397 1991
216.41999478 1992
216.17828116 1993
213.34506749 1994
211.65416672 1995
210.35054845 1996
204.16178414 1997
197.98528268 1998
192.21371198 1999
189.13621651 2000
184.67393697 2001
178.89516739 2002
172.92916768 2003
168.66321531 2004
163.03113647 2005
156.53989993 2006
153.16946339 2007
149.48407303 2008
147.79955168 2009
144.14740061 2010
143.17007118 2011
141.77136646 2012
140.95072725 2013
141.83622675 2014
141.85932152 2015
141.13246987 2016
139.26977892 2017
137.51337231 2018
135.21604675 2019
141.55844578 2020
173.79717264 2021
2022
South Asia (IDA & IBRD) | 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
South Asia (IDA & IBRD)
Records
63
Source