Low & 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
Low & middle income
Records
63
Source
Low & middle income | Mortality rate, adult, female (per 1,000 female adults)
1960 362.26637408
1961 339.26812331
1962 312.01550324
1963 308.3242118
1964 302.45709162
1965 303.13509789
1966 297.20801456
1967 290.42610239
1968 283.18625288
1969 278.00124794
1970 275.5272775
1971 272.45245068
1972 262.32446574
1973 255.13755815
1974 250.20098233
1975 245.41634664
1976 240.219814
1977 233.08247364
1978 227.43559699
1979 221.49418946
1980 216.04928714
1981 210.76865501
1982 205.95164407
1983 201.98816556
1984 198.42061146
1985 194.75245093
1986 189.92287286
1987 186.92539395
1988 184.68524387
1989 181.75264588
1990 180.46775161
1991 180.63622386
1992 178.00746925
1993 176.89980591
1994 176.74321622
1995 174.72060777
1996 173.75534828
1997 170.64918308
1998 168.22997768
1999 166.66527168
2000 164.71607645
2001 161.34573628
2002 159.38817084
2003 156.85846769
2004 155.8714456
2005 151.52055147
2006 147.28071441
2007 144.78395365
2008 144.16330203
2009 139.59697489
2010 137.44487286
2011 134.49032951
2012 132.34644075
2013 130.2600833
2014 129.25516342
2015 128.57905461
2016 127.14740387
2017 125.45574506
2018 123.63269218
2019 122.21206963
2020 129.17530326
2021 143.8892584
2022
Low & 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
Low & middle income
Records
63
Source