Congo, 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
Republic of the Congo
Records
63
Source
Congo, Rep. | Mortality rate, adult, female (per 1,000 female adults)
1960 336.675
1961 331.625
1962 323.117
1963 319.057
1964 315.192
1965 312.044
1966 307.467
1967 308.492
1968 300.717
1969 296.376
1970 294.069
1971 290.422
1972 289.947
1973 286.578
1974 283.753
1975 284.887
1976 280.862
1977 282.289
1978 277.709
1979 278.354
1980 273.481
1981 274.286
1982 270.897
1983 272.343
1984 274.021
1985 277.986
1986 280.127
1987 291.893
1988 311.741
1989 334.983
1990 359.34
1991 383.346
1992 411.985
1993 422.555
1994 429.897
1995 424.932
1996 420.004
1997 446.724
1998 432.083
1999 414.422
2000 401.451
2001 391.138
2002 380.562
2003 369.992
2004 357.889
2005 341.408
2006 336.054
2007 324.641
2008 314.536
2009 302.287
2010 287.175
2011 283.893
2012 283.037
2013 269.144
2014 268.536
2015 269.708
2016 256
2017 254.995
2018 254.228
2019 264.087
2020 249.061
2021 258.57
2022
Congo, 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
Republic of the Congo
Records
63
Source