Upper 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
Upper middle income
Records
63
Source
Upper middle income | Mortality rate, adult, female (per 1,000 female adults)
363.09918388 1960
322.23138426 1961
273.04252519 1962
268.05953051 1963
260.93675244 1964
259.43801411 1965
252.64473075 1966
244.27790433 1967
239.07034324 1968
234.04079291 1969
228.90963173 1970
220.85602001 1971
214.17380611 1972
206.14052927 1973
199.92295458 1974
194.72982042 1975
189.52053894 1976
183.53696304 1977
179.29028175 1978
174.83595525 1979
170.56571653 1980
166.01004748 1981
161.69905154 1982
157.45353348 1983
154.40951832 1984
150.34543944 1985
144.66132798 1986
141.11278973 1987
138.47275946 1988
135.64889146 1989
134.0536046 1990
134.14200259 1991
130.28698925 1992
128.12636727 1993
128.42069077 1994
124.35821587 1995
122.66697726 1996
119.5704417 1997
116.57209438 1998
117.71889715 1999
115.63021113 2000
111.06022227 2001
110.75013161 2002
109.67132801 2003
110.91873775 2004
106.9271232 2005
103.6518498 2006
101.62684492 2007
101.47103151 2008
97.25007352 2009
95.74162649 2010
93.68949814 2011
91.19742461 2012
88.89027888 2013
87.45560503 2014
84.24345252 2015
82.81671607 2016
81.38988528 2017
79.28586153 2018
78.01544903 2019
85.76368606 2020
91.18682547 2021
2022
Upper 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
Upper middle income
Records
63
Source