Upper middle 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
Upper middle income
Records
63
Source
Upper middle income | Mortality rate, adult, female (per 1,000 female adults)
1960 363.09918388
1961 322.23138426
1962 273.04252519
1963 268.05953051
1964 260.93675244
1965 259.43801411
1966 252.64473075
1967 244.27790433
1968 239.07034324
1969 234.04079291
1970 228.90963173
1971 220.85602001
1972 214.17380611
1973 206.14052927
1974 199.92295458
1975 194.72982042
1976 189.52053894
1977 183.53696304
1978 179.29028175
1979 174.83595525
1980 170.56571653
1981 166.01004748
1982 161.69905154
1983 157.45353348
1984 154.40951832
1985 150.34543944
1986 144.66132798
1987 141.11278973
1988 138.47275946
1989 135.64889146
1990 134.0536046
1991 134.14200259
1992 130.28698925
1993 128.12636727
1994 128.42069077
1995 124.35821587
1996 122.66697726
1997 119.5704417
1998 116.57209438
1999 117.71889715
2000 115.63021113
2001 111.06022227
2002 110.75013161
2003 109.67132801
2004 110.91873775
2005 106.9271232
2006 103.6518498
2007 101.62684492
2008 101.47103151
2009 97.25007352
2010 95.74162649
2011 93.68949814
2012 91.19742461
2013 88.89027888
2014 87.45560503
2015 84.24345252
2016 82.81671607
2017 81.38988528
2018 79.28586153
2019 78.01544903
2020 85.76368606
2021 91.18682547
2022

Upper middle 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
Upper middle income
Records
63
Source