Lower 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
Lower middle income
Records
63
Source
Lower middle income | Mortality rate, adult, female (per 1,000 female adults)
1960 354.86121826
1961 353.18975005
1962 351.59450244
1963 349.36743917
1964 345.39798817
1965 348.86920765
1966 342.7291912
1967 338.28563556
1968 327.82144041
1969 322.21639285
1970 323.61915245
1971 328.18469767
1972 311.17708673
1973 305.51028645
1974 301.84438305
1975 296.76699137
1976 291.55788117
1977 282.17290779
1978 274.69684796
1979 266.79389039
1980 259.75612075
1981 253.18459671
1982 247.1504393
1983 241.01525257
1984 235.8915149
1985 232.41659817
1986 229.09924725
1987 226.59450313
1988 223.67288949
1989 221.69169025
1990 220.15794279
1991 219.49853167
1992 216.68502724
1993 216.94440946
1994 216.06063022
1995 215.46528783
1996 214.4366254
1997 210.76724025
1998 207.25535437
1999 203.23858212
2000 201.28130526
2001 198.52843522
2002 194.11595341
2003 190.20999465
2004 186.40827818
2005 181.43162924
2006 176.2175783
2007 173.26348562
2008 172.23562977
2009 167.31797608
2010 164.21347762
2011 160.28466144
2012 158.2166118
2013 156.4254385
2014 156.28024065
2015 155.45152134
2016 154.30357239
2017 151.9592212
2018 150.36837697
2019 148.40016668
2020 153.85539862
2021 177.6266101
2022
Lower 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
Lower middle income
Records
63
Source