Congo, Dem. Rep. | 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
Democratic Republic of the Congo
Records
63
Source
Congo, Dem. Rep. | Mortality rate, adult, female (per 1,000 female adults)
1960 412.293
1961 416.18
1962 418.802
1963 415.07
1964 420.757
1965 413.549
1966 406.717
1967 402.927
1968 400.952
1969 398.229
1970 397.007
1971 394.492
1972 392.882
1973 391.729
1974 387.691
1975 390.046
1976 389.865
1977 389.246
1978 393.885
1979 386.665
1980 387.402
1981 385.54
1982 384.299
1983 384.025
1984 380.458
1985 381.244
1986 375.343
1987 371.431
1988 359.672
1989 354.937
1990 345.607
1991 341.843
1992 335.674
1993 326.49
1994 323.368
1995 312.278
1996 323.177
1997 311.419
1998 309.531
1999 309.361
2000 303.923
2001 304.265
2002 304.652
2003 304.627
2004 302.945
2005 299.874
2006 293.997
2007 294.081
2008 290.257
2009 283.879
2010 279.006
2011 272.029
2012 273.24
2013 266.303
2014 259.917
2015 259.266
2016 251.772
2017 251.583
2018 243.992
2019 238.474
2020 248.709
2021 256.021
2022
Congo, Dem. Rep. | 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
Democratic Republic of the Congo
Records
63
Source