IDA blend | 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
IDA blend
Records
63
Source
IDA blend | Mortality rate, adult, female (per 1,000 female adults)
1960 403.29748649
1961 397.96816194
1962 393.57896789
1963 384.23039202
1964 376.18269337
1965 367.71757587
1966 359.10359327
1967 354.09146076
1968 341.12458616
1969 333.52757891
1970 321.89993914
1971 329.07165076
1972 311.15839542
1973 307.14260462
1974 305.21270441
1975 299.23126409
1976 290.95521776
1977 283.86514689
1978 278.2635758
1979 273.97204506
1980 268.31173158
1981 259.56850977
1982 256.95228488
1983 251.98082643
1984 250.0633653
1985 257.0044706
1986 262.93077066
1987 266.54507098
1988 263.15960708
1989 262.08015946
1990 259.97693335
1991 266.37138491
1992 275.25774126
1993 283.01403421
1994 288.99262039
1995 296.58419572
1996 296.5188831
1997 297.95014464
1998 299.22982348
1999 295.81802256
2000 294.89430178
2001 295.96038234
2002 293.32211312
2003 291.07773176
2004 286.401988
2005 286.41092311
2006 273.32180537
2007 269.56333062
2008 265.30615266
2009 261.00012689
2010 256.71421031
2011 251.11041181
2012 250.19766469
2013 246.28865902
2014 244.64943395
2015 242.21135373
2016 242.54141875
2017 237.0510496
2018 236.46555847
2019 235.45979501
2020 237.94658205
2021 245.80392129
2022
IDA blend | 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
IDA blend
Records
63
Source