Low income | 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
Low income
Records
63
Source
Low income | Mortality rate, adult, female (per 1,000 female adults)
1960 403.53867822
1961 398.88739017
1962 395.72325085
1963 392.96621884
1964 384.67629134
1965 385.97506524
1966 389.73464678
1967 382.76473549
1968 379.808646
1969 376.88873543
1970 373.96497279
1971 366.58999415
1972 371.74443108
1973 362.4466932
1974 358.98962317
1975 356.95719191
1976 349.01240893
1977 345.236538
1978 340.74737417
1979 335.95457503
1980 331.28085753
1981 328.57438438
1982 327.05984025
1983 339.95941342
1984 342.30358854
1985 340.86934874
1986 333.29512418
1987 330.86155191
1988 335.15823055
1989 322.55904682
1990 322.53689769
1991 325.29577538
1992 330.36179624
1993 324.77136883
1994 321.49049672
1995 322.8505567
1996 324.5299629
1997 321.79316126
1998 327.41046331
1999 315.90564833
2000 311.02767906
2001 308.97445095
2002 306.36204363
2003 297.80608129
2004 294.30950926
2005 287.61722219
2006 278.20933426
2007 270.41865259
2008 264.62299825
2009 255.42184532
2010 250.21716648
2011 242.75255845
2012 238.16901901
2013 231.75739748
2014 227.20065071
2015 223.22072909
2016 215.75509341
2017 211.69697558
2018 205.50696375
2019 201.05205202
2020 207.9059433
2021 214.93884265
2022
Low income | 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
Low income
Records
63
Source