Europe & Central Asia | 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
Europe & Central Asia
Records
63
Source
Europe & Central Asia | Mortality rate, adult, female (per 1,000 female adults)
124.91056791 1960
122.56108288 1961
123.31580532 1962
121.3337595 1963
117.47680863 1964
117.2938417 1965
115.97726944 1966
115.5738442 1967
115.17452409 1968
117.34643639 1969
115.05508246 1970
114.1129625 1971
112.95347012 1972
112.27514898 1973
111.07555126 1974
111.85339038 1975
111.99524646 1976
110.56182466 1977
110.55117946 1978
110.33404128 1979
110.16790969 1980
108.13312266 1981
106.20560492 1982
106.48718846 1983
106.14187097 1984
104.16509114 1985
98.99923133 1986
98.01699916 1987
97.8600364 1988
97.10693931 1989
95.22607765 1990
95.938488 1991
98.42230318 1992
103.90427583 1993
106.01566624 1994
104.36098136 1995
100.40424805 1996
96.75711112 1997
94.32262347 1998
96.98512073 1999
96.48695727 2000
96.60792177 2001
97.62126368 2002
98.07090684 2003
95.92489799 2004
95.38073376 2005
90.73686618 2006
88.25287789 2007
86.68942234 2008
83.3904383 2009
81.36015051 2010
79.13485263 2011
76.53282593 2012
74.58635903 2013
71.18388992 2014
59.88517839 2015
58.94685378 2016
57.47400653 2017
56.94903609 2018
55.17369923 2019
2020
2021
2022
Europe & Central Asia | 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
Europe & Central Asia
Records
63
Source