India | 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
Republic of India
Records
63
Source
India | Mortality rate, adult, female (per 1,000 female adults)
393.56 1960
394.154 1961
393.657 1962
392.458 1963
390.91 1964
399.413 1965
393.749 1966
387.484 1967
368.994 1968
362.231 1969
356.306 1970
351.81 1971
347.154 1972
342.126 1973
335.116 1974
328.252 1975
319.8 1976
310.882 1977
300.122 1978
289.612 1979
279.38 1980
269.62 1981
260.543 1982
252.201 1983
244.632 1984
237.922 1985
232.112 1986
227.18 1987
223.023 1988
219.38 1989
216.377 1990
213.731 1991
211.316 1992
209.574 1993
207.181 1994
205.19 1995
203.097 1996
200.707 1997
198.086 1998
194.977 1999
190.564 2000
186.254 2001
179.626 2002
173.247 2003
167.462 2004
161.031 2005
155.712 2006
151.348 2007
147.873 2008
145.274 2009
143.479 2010
142.507 2011
142.342 2012
142.92 2013
143.702 2014
144.478 2015
144.65 2016
143.731 2017
141.768 2018
139.668 2019
144.496 2020
185.906 2021
2022
India | 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
Republic of India
Records
63
Source