Europe & Central Asia (excluding high 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
Europe & Central Asia (excluding high income)
Records
63
Source
Europe & Central Asia (excluding high income) | Mortality rate, adult, female (per 1,000 female adults)
138.43566714 1960
136.7822702 1961
136.46297384 1962
134.1383758 1963
130.51807148 1964
130.54476507 1965
129.94608724 1966
130.06441568 1967
129.10010381 1968
130.57870119 1969
130.47151997 1970
128.75380218 1971
128.21676475 1972
127.59872815 1973
127.79608004 1974
130.22174498 1975
131.37529633 1976
130.90173289 1977
131.71531712 1978
132.42044695 1979
132.75185983 1980
130.96997258 1981
128.77850256 1982
129.13438026 1983
131.03801117 1984
127.16632526 1985
117.65426253 1986
116.46138431 1987
117.82887823 1988
117.01589665 1989
118.47627192 1990
120.6249254 1991
128.52178635 1992
142.06212116 1993
148.93866982 1994
145.82208334 1995
138.29798842 1996
132.07359181 1997
127.97704706 1998
135.04183253 1999
135.29643513 2000
136.80444299 2001
139.92042493 2002
140.92160059 2003
138.54765376 2004
138.76172119 2005
130.18034822 2006
125.81023404 2007
123.67056354 2008
117.25940791 2009
114.46884742 2010
110.13636134 2011
105.85159292 2012
102.67683635 2013
100.37178479 2014
2015
2016
2017
2018
2019
2020
2021
2022
Europe & Central Asia (excluding high 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
Europe & Central Asia (excluding high income)
Records
63
Source