IDA total | 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 total
Records
63
Source
IDA total | Mortality rate, adult, female (per 1,000 female adults)
1960 390.10428277
1961 385.50664327
1962 381.37432219
1963 378.76615545
1964 370.4099567
1965 369.66487364
1966 364.39458704
1967 358.66505296
1968 352.29613266
1969 348.3621783
1970 357.57955359
1971 372.51676589
1972 338.09001838
1973 331.5946723
1974 330.63643441
1975 331.44066242
1976 326.53573894
1977 316.87566316
1978 310.41727535
1979 305.53515405
1980 300.38574567
1981 295.6657693
1982 293.49557638
1983 295.77111977
1984 294.50899427
1985 295.43182279
1986 294.75070919
1987 294.17657912
1988 295.41479476
1989 292.60723452
1990 291.72755905
1991 297.1084573
1992 295.58215281
1993 297.20577797
1994 296.23310578
1995 295.6251554
1996 297.49604475
1997 291.93817728
1998 289.99541743
1999 281.02987203
2000 280.13455722
2001 278.55809419
2002 275.26992857
2003 271.14915789
2004 269.26609687
2005 264.13172403
2006 256.04110513
2007 251.91242151
2008 251.18099352
2009 241.42552264
2010 236.42931095
2011 228.07661604
2012 223.23525246
2013 217.34358794
2014 214.44894813
2015 210.74596306
2016 206.42575718
2017 202.04419939
2018 198.77992508
2019 195.17781925
2020 202.00740341
2021 209.50215958
2022

IDA total | 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 total
Records
63
Source