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