Late-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
Late-demographic dividend
Records
63
Source
Late-demographic dividend | Mortality rate, adult, female (per 1,000 female adults)
1960 362.93729947
1961 318.80433515
1962 266.0133419
1963 261.37483112
1964 254.5465313
1965 247.97707345
1966 243.40964636
1967 238.14907572
1968 233.80172388
1969 228.6726538
1970 222.09037244
1971 215.38347081
1972 209.80571356
1973 200.95685197
1974 194.62952628
1975 187.95748526
1976 182.83878043
1977 177.07905892
1978 172.30954233
1979 167.87333693
1980 163.72621298
1981 158.62862934
1982 154.19519538
1983 150.32924182
1984 146.84649091
1985 143.04116994
1986 136.9539791
1987 132.75003462
1988 129.78954295
1989 126.5927667
1990 125.09614529
1991 125.12429157
1992 121.17560293
1993 118.85207959
1994 119.02300017
1995 115.2122579
1996 112.42186862
1997 108.85685636
1998 104.59143897
1999 105.99036915
2000 103.3182443
2001 98.08700217
2002 96.87543273
2003 94.97167636
2004 93.60353262
2005 90.69175723
2006 87.65563014
2007 85.39925533
2008 85.2995222
2009 81.7152239
2010 80.07293026
2011 78.15533774
2012 76.19332871
2013 74.65617175
2014 73.1673798
2015 68.78470044
2016 67.18537854
2017 65.850831
2018 64.27659251
2019 63.19879203
2020 64.90512173
2021 68.45828769
2022
Late-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
Late-demographic dividend
Records
63
Source