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