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)
1960 138.43566714
1961 136.7822702
1962 136.46297384
1963 134.1383758
1964 130.51807148
1965 130.54476507
1966 129.94608724
1967 130.06441568
1968 129.10010381
1969 130.57870119
1970 130.47151997
1971 128.75380218
1972 128.21676475
1973 127.59872815
1974 127.79608004
1975 130.22174498
1976 131.37529633
1977 130.90173289
1978 131.71531712
1979 132.42044695
1980 132.75185983
1981 130.96997258
1982 128.77850256
1983 129.13438026
1984 131.03801117
1985 127.16632526
1986 117.65426253
1987 116.46138431
1988 117.82887823
1989 117.01589665
1990 118.47627192
1991 120.6249254
1992 128.52178635
1993 142.06212116
1994 148.93866982
1995 145.82208334
1996 138.29798842
1997 132.07359181
1998 127.97704706
1999 135.04183253
2000 135.29643513
2001 136.80444299
2002 139.92042493
2003 140.92160059
2004 138.54765376
2005 138.76172119
2006 130.18034822
2007 125.81023404
2008 123.67056354
2009 117.25940791
2010 114.46884742
2011 110.13636134
2012 105.85159292
2013 102.67683635
2014 100.37178479
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