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
Middle income
Records
63
Source
Middle income | Mortality rate, adult, female (per 1,000 female adults)
1960 359.61724076
1961 335.40049837
1962 306.54772417
1963 302.77058111
1964 297.04294168
1965 297.67272691
1966 291.11254594
1967 284.35671468
1968 276.84915318
1969 271.52912123
1970 269.10186775
1971 266.32292929
1972 255.21911023
1973 248.17887929
1974 243.1306658
1975 238.14232272
1976 233.10285101
1977 225.74429157
1978 220.03132298
1979 214.0206324
1980 208.56869521
1981 203.1857041
1982 198.17632871
1983 193.12349574
1984 189.16788334
1985 185.34791963
1986 180.69328396
1987 177.64873113
1988 174.97496766
1989 172.64341886
1990 171.25621877
1991 171.2265562
1992 168.01258149
1993 167.1000872
1994 167.06259895
1995 164.72690966
1996 163.51931136
1997 160.34370075
1998 157.31624085
1999 156.35339836
2000 154.53581891
2001 150.9970988
2002 148.97288896
2003 146.74772026
2004 145.82741121
2005 141.52670831
2006 137.52022378
2007 135.26699625
2008 134.90028236
2009 130.55045133
2010 128.49431683
2011 125.75196539
2012 123.66664728
2013 121.82074658
2014 120.92012158
2015 120.15351919
2016 119.11630846
2017 117.48253369
2018 115.90171686
2019 114.58396841
2020 121.38301739
2021 136.70127294
2022

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
Middle income
Records
63
Source