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