Chad | 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
Republic of Chad
Records
63
Source
Chad | Mortality rate, adult, female (per 1,000 female adults)
1960 421.427
1961 419.653
1962 420.685
1963 417.487
1964 414.536
1965 420.843
1966 415.67
1967 412.972
1968 410.673
1969 407.404
1970 404.741
1971 417.702
1972 397.994
1973 399.281
1974 402.518
1975 403.542
1976 394.337
1977 391.396
1978 389.101
1979 383.944
1980 379.346
1981 370.545
1982 363.899
1983 353.01
1984 351.47
1985 350.362
1986 349.434
1987 359.746
1988 355.905
1989 355.481
1990 359.857
1991 366.068
1992 368.346
1993 372.919
1994 373.926
1995 372.952
1996 368.824
1997 369.101
1998 371.862
1999 373.393
2000 372.68
2001 371.807
2002 374.774
2003 374.083
2004 373.339
2005 377.286
2006 376.699
2007 371.663
2008 370.456
2009 373.216
2010 369.211
2011 364.353
2012 358.029
2013 356.36
2014 351.758
2015 346.329
2016 346.831
2017 343.204
2018 337.13
2019 330.834
2020 344.715
2021 352.065
2022
Chad | 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
Republic of Chad
Records
63
Source