Early-demographic dividend | 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
Early-demographic dividend
Records
63
Source
Early-demographic dividend | Mortality rate, adult, female (per 1,000 female adults)
year value
1960 351.67434349
1961 349.79105128
1962 347.27587403
1963 344.04570081
1964 338.75851688
1965 347.35860363
1966 338.62088504
1967 328.83653584
1968 318.1796266
1969 312.62218291
1970 314.08357583
1971 316.73659055
1972 299.31836818
1973 294.34576821
1974 290.24107461
1975 286.51733578
1976 281.04002956
1977 271.96030071
1978 264.7619299
1979 256.49069995
1980 248.71793621
1981 243.04832284
1982 236.7993817
1983 230.98048142
1984 225.58882801
1985 221.33877785
1986 217.51475963
1987 213.82795973
1988 210.63273084
1989 208.30409929
1990 205.91231281
1991 204.4564662
1992 200.47813983
1993 199.49097246
1994 199.25886718
1995 196.27967493
1996 195.69551436
1997 191.5927582
1998 188.33104043
1999 184.84006232
2000 182.79835816
2001 180.11645172
2002 176.31612264
2003 172.91915292
2004 171.70876987
2005 165.49368713
2006 160.1325032
2007 156.87047082
2008 155.42527623
2009 150.19666864
2010 147.65363981
2011 144.03619887
2012 141.61794548
2013 139.10414974
2014 138.19490899
2015 137.06009302
2016 135.52625919
2017 133.87662648
2018 131.42186672
2019 129.29218862
2020 138.77184286
2021 160.80506192
2022

Early-demographic dividend | 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
Early-demographic dividend
Records
63
Source