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