Middle East & North Africa | 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
Middle East & North Africa
Records
63
Source
Middle East & North Africa | Mortality rate, adult, female (per 1,000 female adults)
1960 313.70807777
1961 312.67110384
1962 313.07267379
1963 303.84041579
1964 299.07936153
1965 295.59527017
1966 291.46028151
1967 288.61101382
1968 287.10428023
1969 281.82827846
1970 272.88514568
1971 271.74083571
1972 268.21407817
1973 261.33116121
1974 254.71617378
1975 249.39700469
1976 248.35771263
1977 237.5636586
1978 235.50837314
1979 222.3141178
1980 213.62160371
1981 214.72110911
1982 210.5763035
1983 194.47664548
1984 187.90583464
1985 182.4776095
1986 177.58968276
1987 174.53704069
1988 170.5548985
1989 167.05797065
1990 169.21294099
1991 157.59070254
1992 153.26479199
1993 151.33638596
1994 148.88447819
1995 146.83902759
1996 143.12539121
1997 141.46704678
1998 140.4280269
1999 136.1373066
2000 131.50874551
2001 128.1962617
2002 125.19201584
2003 127.89959489
2004 121.53795774
2005 116.22142238
2006 113.94851408
2007 111.97714986
2008 111.7939615
2009 110.58189688
2010 106.29843563
2011 102.89672809
2012 102.57507924
2013 101.57393572
2014 98.10661906
2015 96.48279968
2016 92.40428352
2017 88.39419945
2018 87.90316555
2019 87.84329438
2020 98.1741003
2021 97.14781208
2022
Middle East & North Africa | 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
Middle East & North Africa
Records
63
Source