Comoros Health Statistics
KM: ARI Treatment: % of Children Under 5 Taken to a Health Provider
KM: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 38.100 % in 2012. This records a decrease from the previous number of 56.000 % for 2000. KM: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 47.050 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 56.000 % in 2000 and a record low of 38.100 % in 2012. KM: ARI Treatment: % of Children Under 5 Taken to a Health Provider data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 38.100 2012 | yearly | 1996 - 2012 |
View Comoros's KM: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 1996 to 2012 in the chart:
Comoros KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.200 NA in 2016. This records an increase from the previous number of 0.100 NA for 2010. KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.150 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 0.200 NA in 2016 and a record low of 0.100 NA in 2010. KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.200 2016 | yearly | 2010 - 2016 |
View Comoros's Comoros KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Comoros KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 1.600 NA in 2016. This records an increase from the previous number of 0.400 NA for 2010. KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 1.000 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 1.600 NA in 2016 and a record low of 0.400 NA in 2010. KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.600 2016 | yearly | 2010 - 2016 |
View Comoros's Comoros KM: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
KM: Births Attended by Skilled Health Staff: % of Total
KM: Births Attended by Skilled Health Staff: % of Total data was reported at 82.200 % in 2012. This records an increase from the previous number of 61.800 % for 2000. KM: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 61.800 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 82.200 % in 2012 and a record low of 51.600 % in 1996. KM: Births Attended by Skilled Health Staff: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women. This is the Sustainable Development Goal indicator 3.1.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 82.200 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Births Attended by Skilled Health Staff: % of Total from 1996 to 2012 in the chart:
KM: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
KM: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 26.700 % in 2012. This records a decrease from the previous number of 63.000 % for 2000. KM: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 44.850 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 63.000 % in 2000 and a record low of 26.700 % in 2012. KM: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.700 2012 | yearly | 2000 - 2012 |
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KM: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24
KM: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data was reported at 11.300 % in 2012. KM: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data is updated yearly, averaging 11.300 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 11.300 % in 2012 and a record low of 11.300 % in 2012. KM: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Condom use, female is the percentage of the female population ages 15-24 who used a condom at last intercourse in the last 12 months.;Demographic and Health Surveys, and UNAIDS.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.300 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 from 2012 to 2012 in the chart:
KM: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
KM: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 54.000 % in 2012. KM: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 54.000 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 54.000 % in 2012 and a record low of 54.000 % in 2012. KM: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months.;Demographic and Health Surveys, and UNAIDS.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 54.000 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 from 2012 to 2012 in the chart:
KM: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
KM: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 19.400 % in 2012. This records a decrease from the previous number of 25.800 % for 2000. KM: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 21.000 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 25.800 % in 2000 and a record low of 19.400 % in 2012. KM: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 19.400 2012 | yearly | 1996 - 2012 |
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KM: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
KM: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 14.200 % in 2012. This records a decrease from the previous number of 21.000 % for 2000. KM: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 14.200 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 21.000 % in 2000 and a record low of 11.400 % in 1996. KM: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Contraceptive prevalence, any modern method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.200 2012 | yearly | 1996 - 2012 |
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KM: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
KM: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 27.400 % in 2012. This records an increase from the previous number of 20.100 % for 1996. KM: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 23.750 % from Dec 1996 to 2012, with 2 observations. The data reached an all-time high of 27.400 % in 2012 and a record low of 20.100 % in 1996. KM: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.;Demographic and Health Surveys (DHS).;Weighted average;This is the Sustainable Development Goal indicator 3.7.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 27.400 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1996 to 2012 in the chart:
KM: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
KM: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 53.900 % in 2012. This records an increase from the previous number of 31.000 % for 2000. KM: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 42.450 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 53.900 % in 2012 and a record low of 31.000 % in 2000. KM: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 53.900 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 2000 to 2012 in the chart:
KM: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
KM: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 37.500 % in 2012. This records an increase from the previous number of 18.500 % for 2000. KM: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 23.800 % from Dec 1986 to 2012, with 6 observations. The data reached an all-time high of 79.000 % in 1989 and a record low of 1.000 % in 1986. KM: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 37.500 2012 | yearly | 1986 - 2012 |
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KM: Exclusive Breastfeeding: % of Children under 6 Months
KM: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 11.433 % in 2012. This records an increase from the previous number of 10.191 % for 2000. KM: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 10.191 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 11.433 % in 2012 and a record low of 3.200 % in 1996. KM: Exclusive Breastfeeding: % of Children under 6 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.400 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Exclusive Breastfeeding: % of Children under 6 Months from 1996 to 2012 in the chart:
Comoros KM: External Resources for Health: % of Total Expenditure on Health
KM: External Resources for Health: % of Total Expenditure on Health data was reported at 30.697 % in 2014. This records a decrease from the previous number of 36.189 % for 2013. KM: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 24.912 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 42.614 % in 2003 and a record low of 8.095 % in 2008. KM: External Resources for Health: % of Total Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. External resources for health are funds or services in kind that are provided by entities not part of the country in question. The resources may come from international organizations, other countries through bilateral arrangements, or foreign nongovernmental organizations. These resources are part of total health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 30.70 2014 | yearly | 1995 - 2014 |
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Comoros KM: Health Expenditure per Capita
KM: Health Expenditure per Capita data was reported at 56.761 USD in 2014. This records an increase from the previous number of 53.574 USD for 2013. KM: Health Expenditure per Capita data is updated yearly, averaging 25.338 USD from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 56.761 USD in 2014 and a record low of 11.208 USD in 2001. KM: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation. Data are in current U.S. dollars.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 56.76 2014 | yearly | 1995 - 2014 |
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Comoros KM: Health Expenditure per Capita: PPP: 2011 Price
KM: Health Expenditure per Capita: PPP: 2011 Price data was reported at 100.816 Intl $ in 2014. This records an increase from the previous number of 95.327 Intl $ for 2013. KM: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 50.568 Intl $ from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 101.522 Intl $ in 2012 and a record low of 33.931 Intl $ in 2001. KM: Health Expenditure per Capita: PPP: 2011 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation. Data are in international dollars converted using 2011 purchasing power parity (PPP) rates.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 100.82 2014 | yearly | 1995 - 2014 |
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Comoros KM: Health Expenditure: Private: % of GDP
KM: Health Expenditure: Private: % of GDP data was reported at 4.530 % in 2014. This records an increase from the previous number of 4.506 % for 2013. KM: Health Expenditure: Private: % of GDP data is updated yearly, averaging 2.034 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 4.530 % in 2014 and a record low of 1.718 % in 2002. KM: Health Expenditure: Private: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.53 2014 | yearly | 1995 - 2014 |
View Comoros's Comoros KM: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Comoros KM: Health Expenditure: Public: % of GDP
KM: Health Expenditure: Public: % of GDP data was reported at 2.217 % in 2014. This records an increase from the previous number of 2.003 % for 2013. KM: Health Expenditure: Public: % of GDP data is updated yearly, averaging 2.098 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 3.095 % in 2008 and a record low of 1.095 % in 2001. KM: Health Expenditure: Public: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.22 2014 | yearly | 1995 - 2014 |
View Comoros's Comoros KM: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Comoros KM: Health Expenditure: Public: % of Government Expenditure
KM: Health Expenditure: Public: % of Government Expenditure data was reported at 8.662 % in 2014. This records an increase from the previous number of 7.384 % for 2013. KM: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 8.629 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 12.487 % in 2007 and a record low of 4.981 % in 2001. KM: Health Expenditure: Public: % of Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.66 2014 | yearly | 1995 - 2014 |
View Comoros's Comoros KM: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Comoros KM: Health Expenditure: Public: % of Total Health Expenditure
KM: Health Expenditure: Public: % of Total Health Expenditure data was reported at 32.861 % in 2014. This records an increase from the previous number of 30.774 % for 2013. KM: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 50.261 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 62.423 % in 1995 and a record low of 24.969 % in 2010. KM: Health Expenditure: Public: % of Total Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 32.86 2014 | yearly | 1995 - 2014 |
View Comoros's Comoros KM: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Comoros KM: Health Expenditure: Total: % of GDP
KM: Health Expenditure: Total: % of GDP data was reported at 6.748 % in 2014. This records an increase from the previous number of 6.509 % for 2013. KM: Health Expenditure: Total: % of GDP data is updated yearly, averaging 4.486 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 7.107 % in 2012 and a record low of 2.859 % in 2001. KM: Health Expenditure: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.75 2014 | yearly | 1995 - 2014 |
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Comoros KM: Improved Sanitation Facilities: % of Population with Access
KM: Improved Sanitation Facilities: % of Population with Access data was reported at 35.800 % in 2015. This stayed constant from the previous number of 35.800 % for 2014. KM: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 27.000 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 35.800 % in 2015 and a record low of 18.200 % in 1990. KM: Improved Sanitation Facilities: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.80 2015 | yearly | 1990 - 2015 |
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Comoros KM: Improved Sanitation Facilities: Rural: % of Rural Population with Access
KM: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 30.900 % in 2015. This stayed constant from the previous number of 30.900 % for 2014. KM: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 21.950 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 30.900 % in 2015 and a record low of 12.200 % in 1990. KM: Improved Sanitation Facilities: Rural: % of Rural Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities, rural, refers to the percentage of the rural population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 30.90 2015 | yearly | 1990 - 2015 |
View Comoros's Comoros KM: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Comoros KM: Improved Sanitation Facilities: Urban: % of Urban Population with Access
KM: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 48.300 % in 2015. This stayed constant from the previous number of 48.300 % for 2014. KM: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 39.950 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 48.300 % in 2015 and a record low of 33.700 % in 1994. KM: Improved Sanitation Facilities: Urban: % of Urban Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities, urban, refers to the percentage of the urban population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 48.30 2015 | yearly | 1990 - 2015 |
View Comoros's Comoros KM: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Comoros KM: Improved Water Source: % of Population with Access
KM: Improved Water Source: % of Population with Access data was reported at 90.100 % in 2015. This stayed constant from the previous number of 90.100 % for 2014. KM: Improved Water Source: % of Population with Access data is updated yearly, averaging 90.100 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 90.100 % in 2015 and a record low of 90.100 % in 2015. KM: Improved Water Source: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 90.10 2015 | yearly | 1990 - 2015 |
View Comoros's Comoros KM: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Comoros KM: Improved Water Source: Rural: % of Rural Population with Access
KM: Improved Water Source: Rural: % of Rural Population with Access data was reported at 89.100 % in 2015. This stayed constant from the previous number of 89.100 % for 2014. KM: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 88.500 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 89.100 % in 2015 and a record low of 87.800 % in 1990. KM: Improved Water Source: Rural: % of Rural Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Access to an improved water source, rural, refers to the percentage of the rural population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 89.10 2015 | yearly | 1990 - 2015 |
View Comoros's Comoros KM: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Comoros KM: Improved Water Source: Urban: % of Urban Population with Access
KM: Improved Water Source: Urban: % of Urban Population with Access data was reported at 92.600 % in 2015. This stayed constant from the previous number of 92.600 % for 2014. KM: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 94.150 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 95.900 % in 1990 and a record low of 92.600 % in 2015. KM: Improved Water Source: Urban: % of Urban Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Access to an improved water source, urban, refers to the percentage of the urban population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 92.60 2015 | yearly | 1990 - 2015 |
View Comoros's Comoros KM: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Comoros KM: Incidence of HIV: % of Uninfected Population Aged 15-49
KM: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.010 % in 2017. This stayed constant from the previous number of 0.010 % for 2016. KM: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.010 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 0.010 % in 2017 and a record low of 0.010 % in 2017. KM: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.010 2017 | yearly | 1990 - 2017 |
View Comoros's Comoros KM: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2017 in the chart:
Comoros KM: Intentional Homicides: Female: per 100,000 Female
KM: Intentional Homicides: Female: per 100,000 Female data was reported at 3.731 Ratio in 2015. KM: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 3.731 Ratio from Dec 2015 to 2015, with 1 observations. KM: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 3.73 2015 | yearly | 2015 - 2015 |
View Comoros's Comoros KM: Intentional Homicides: Female: per 100,000 Female from 2015 to 2015 in the chart:
Comoros KM: Intentional Homicides: Male: per 100,000 Male
KM: Intentional Homicides: Male: per 100,000 Male data was reported at 11.607 Ratio in 2015. KM: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 11.607 Ratio from Dec 2015 to 2015, with 1 observations. KM: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 11.61 2015 | yearly | 2015 - 2015 |
View Comoros's Comoros KM: Intentional Homicides: Male: per 100,000 Male from 2015 to 2015 in the chart:
Comoros KM: Intentional Homicides: per 100,000 People
KM: Intentional Homicides: per 100,000 People data was reported at 7.703 Ratio in 2015. This records a decrease from the previous number of 8.530 Ratio for 2010. KM: Intentional Homicides: per 100,000 People data is updated yearly, averaging 9.034 Ratio from Dec 2000 to 2015, with 4 observations. The data reached an all-time high of 10.363 Ratio in 2000 and a record low of 7.703 Ratio in 2015. KM: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.;UN Office on Drugs and Crime's International Homicide Statistics database.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7.703 2015 | yearly | 2000 - 2015 |
View Comoros's Comoros KM: Intentional Homicides: per 100,000 People from 2000 to 2015 in the chart:
KM: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
KM: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 352.000 Ratio in 2012. KM: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 352.000 Ratio from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 352.000 Ratio in 2012 and a record low of 352.000 Ratio in 2012. KM: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.;The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;;
| Last | Frequency | Range |
|---|---|---|
| 352.000 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 2012 to 2012 in the chart:
Comoros KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 154.000 NA in 2016. KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 154.000 NA from Dec 2016 to 2016, with 1 observations. KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 154.000 2016 | yearly | 2016 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Comoros KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 192.000 NA in 2016. KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 192.000 NA from Dec 2016 to 2016, with 1 observations. KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 192.000 2016 | yearly | 2016 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Comoros KM: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
KM: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 172.400 Ratio in 2016. KM: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 172.400 Ratio from Dec 2016 to 2016, with 1 observations. KM: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 172.40 2016 | yearly | 2016 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Comoros KM: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
KM: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.900 Ratio in 2016. This records a decrease from the previous number of 2.000 Ratio for 2015. KM: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 2.100 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 2.600 Ratio in 2000 and a record low of 1.900 Ratio in 2016. KM: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.90 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Comoros KM: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
KM: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 2.800 Ratio in 2016. This records a decrease from the previous number of 2.900 Ratio for 2015. KM: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 3.000 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 3.900 Ratio in 2000 and a record low of 2.800 Ratio in 2016. KM: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.80 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Comoros KM: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
KM: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 2.400 Ratio in 2016. This stayed constant from the previous number of 2.400 Ratio for 2015. KM: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 2.500 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 3.200 Ratio in 2000 and a record low of 2.400 Ratio in 2016. KM: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.40 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Comoros KM: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
KM: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 50.700 Ratio in 2016. KM: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 50.700 Ratio from Dec 2016 to 2016, with 1 observations. KM: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 50.70 2016 | yearly | 2016 - 2016 |
View Comoros's Comoros KM: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Comoros KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 21.200 NA in 2016. This records a decrease from the previous number of 21.300 NA for 2015. KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 21.800 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 24.700 NA in 2000 and a record low of 21.200 NA in 2016. KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 21.200 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Comoros KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 24.800 NA in 2016. This stayed constant from the previous number of 24.800 NA for 2015. KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 25.300 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 27.300 NA in 2000 and a record low of 24.800 NA in 2016. KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 24.800 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Comoros KM: Newly Infected with HIV: Adults: Aged 15+
KM: Newly Infected with HIV: Adults: Aged 15+ data was reported at 100.000 Number in 2018. This stayed constant from the previous number of 100.000 Number for 2017. KM: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 100.000 Number from Dec 1990 to 2018, with 29 observations. The data reached an all-time high of 100.000 Number in 2018 and a record low of 100.000 Number in 2018. KM: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 100.000 2018 | yearly | 1990 - 2018 |
View Comoros's Comoros KM: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Comoros KM: Number of Deaths Ages 10-14 Years
KM: Number of Deaths Ages 10-14 Years data was reported at 51.000 Person in 2019. This stayed constant from the previous number of 51.000 Person for 2018. KM: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 52.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 54.000 Person in 2006 and a record low of 48.000 Person in 1991. KM: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 51.000 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Comoros KM: Number of Deaths Ages 15-19 Years
KM: Number of Deaths Ages 15-19 Years data was reported at 58.000 Person in 2019. This records a decrease from the previous number of 59.000 Person for 2018. KM: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 85.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 114.000 Person in 1997 and a record low of 58.000 Person in 2019. KM: Number of Deaths Ages 15-19 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 58.000 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Comoros KM: Number of Deaths Ages 20-24 Years
KM: Number of Deaths Ages 20-24 Years data was reported at 90.000 Person in 2019. This stayed constant from the previous number of 90.000 Person for 2018. KM: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 89.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 104.000 Person in 1997 and a record low of 83.000 Person in 1991. KM: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 90.000 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Comoros KM: Number of Deaths Ages 5-14 Years
KM: Number of Deaths Ages 5-14 Years data was reported at 201.000 Person in 2018. This records a decrease from the previous number of 206.000 Person for 2015. KM: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 215.000 Person from Dec 1990 to 2018, with 5 observations. The data reached an all-time high of 218.000 Person in 2000 and a record low of 201.000 Person in 2018. KM: Number of Deaths Ages 5-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 201.000 2018 | yearly | 1990 - 2018 |
View Comoros's Comoros KM: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Comoros KM: Number of Deaths Ages 5-9 Years
KM: Number of Deaths Ages 5-9 Years data was reported at 133.000 Person in 2019. This records a decrease from the previous number of 134.000 Person for 2018. KM: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 145.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 154.000 Person in 1994 and a record low of 133.000 Person in 2019. KM: Number of Deaths Ages 5-9 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 133.000 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Comoros KM: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
KM: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 67.115 % in 2014. This stayed constant from the previous number of 67.115 % for 2013. KM: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 100.000 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 100.000 % in 2009 and a record low of 47.964 % in 2010. KM: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 67.12 2014 | yearly | 1995 - 2014 |
View Comoros's Comoros KM: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Comoros KM: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
KM: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 45.061 % in 2014. This records a decrease from the previous number of 46.461 % for 2013. KM: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 46.216 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 61.717 % in 2001 and a record low of 35.988 % in 2010. KM: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 45.06 2014 | yearly | 1995 - 2014 |
View Comoros's Comoros KM: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
KM: Pregnant Women Receiving Prenatal Care
KM: Pregnant Women Receiving Prenatal Care data was reported at 92.100 % in 2012. This records an increase from the previous number of 75.000 % for 2004. KM: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 79.750 % from Dec 1996 to 2012, with 4 observations. The data reached an all-time high of 92.100 % in 2012 and a record low of 74.300 % in 2000. KM: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 92.100 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Pregnant Women Receiving Prenatal Care from 1996 to 2012 in the chart:
KM: Prevalence of Anemia among Children: % of Children Under 5
KM: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 48.100 % in 2016. This records a decrease from the previous number of 48.200 % for 2015. KM: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 57.100 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 71.100 % in 1990 and a record low of 48.100 % in 2016. KM: Prevalence of Anemia among Children: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average; Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 48.100 2016 | yearly | 1990 - 2016 |
View Comoros's KM: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
KM: Prevalence of Overweight: Weight for Height: % of Children Under 5
KM: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 10.600 % in 2012. This records a decrease from the previous number of 21.500 % for 2000. KM: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 10.600 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 21.500 % in 2000 and a record low of 5.700 % in 1996. KM: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.OWGH.ME.ZS for aggregation;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 10.600 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1996 to 2012 in the chart:
KM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
KM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 10.000 % in 2012. This records a decrease from the previous number of 22.200 % for 2000. KM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 10.000 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 22.200 % in 2000 and a record low of 5.900 % in 1996. KM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 10.000 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
KM: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 11.200 % in 2012. This records a decrease from the previous number of 20.900 % for 2000. KM: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 11.200 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 20.900 % in 2000 and a record low of 5.400 % in 1996. KM: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 11.200 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
KM: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 4.500 % in 2012. This records a decrease from the previous number of 7.200 % for 2000. KM: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 4.500 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 7.200 % in 2000 and a record low of 3.700 % in 1996. KM: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 4.500 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 1996 to 2012 in the chart:
KM: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
KM: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 4.700 % in 2012. This records a decrease from the previous number of 5.900 % for 2000. KM: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 5.300 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 5.900 % in 2000 and a record low of 4.700 % in 2012. KM: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 4.700 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
KM: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 4.200 % in 2012. This records a decrease from the previous number of 8.400 % for 2000. KM: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 6.300 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 8.400 % in 2000 and a record low of 4.200 % in 2012. KM: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 4.200 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Stunting: Height for Age: % of Children Under 5
KM: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 31.100 % in 2012. This records a decrease from the previous number of 46.900 % for 2000. KM: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 38.600 % from Dec 1992 to 2012, with 4 observations. The data reached an all-time high of 46.900 % in 2000 and a record low of 31.100 % in 2012. KM: Prevalence of Stunting: Height for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.STNT.ME.ZS for aggregation;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 31.100 2012 | yearly | 1992 - 2012 |
View Comoros's KM: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1992 to 2012 in the chart:
KM: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
KM: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 29.200 % in 2012. This records a decrease from the previous number of 47.400 % for 2000. KM: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 35.700 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 47.400 % in 2000 and a record low of 29.200 % in 2012. KM: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 29.200 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Stunting: Height for Age: Male: % of Children Under 5
KM: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 33.100 % in 2012. This records a decrease from the previous number of 46.500 % for 2000. KM: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 41.500 % from Dec 1996 to 2012, with 3 observations. The data reached an all-time high of 46.500 % in 2000 and a record low of 33.100 % in 2012. KM: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 33.100 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Underweight: Weight for Age: % of Children Under 5
KM: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 16.900 % in 2012. This records a decrease from the previous number of 25.100 % for 2000. KM: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 19.650 % from Dec 1992 to 2012, with 4 observations. The data reached an all-time high of 25.100 % in 2000 and a record low of 15.200 % in 1992. KM: Prevalence of Underweight: Weight for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 16.900 2012 | yearly | 1992 - 2012 |
View Comoros's KM: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1992 to 2012 in the chart:
KM: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5
KM: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 16.600 % in 2012. This records a decrease from the previous number of 21.900 % for 2000. KM: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 19.250 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 21.900 % in 2000 and a record low of 16.600 % in 2012. KM: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 16.600 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5
KM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 17.200 % in 2012. This records a decrease from the previous number of 28.100 % for 2000. KM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 22.650 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 28.100 % in 2000 and a record low of 17.200 % in 2012. KM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 17.200 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Wasting: Weight for Height: % of Children Under 5
KM: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 11.200 % in 2012. This records a decrease from the previous number of 13.300 % for 2000. KM: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 10.450 % from Dec 1992 to 2012, with 4 observations. The data reached an all-time high of 13.300 % in 2000 and a record low of 5.300 % in 1992. KM: Prevalence of Wasting: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 11.200 2012 | yearly | 1992 - 2012 |
View Comoros's KM: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1992 to 2012 in the chart:
KM: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5
KM: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 10.900 % in 2012. This records a decrease from the previous number of 12.100 % for 2000. KM: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 11.500 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 12.100 % in 2000 and a record low of 10.900 % in 2012. KM: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 10.900 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 from 2000 to 2012 in the chart:
KM: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5
KM: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 11.500 % in 2012. This records a decrease from the previous number of 14.400 % for 2000. KM: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 12.950 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 14.400 % in 2000 and a record low of 11.500 % in 2012. KM: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 11.500 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 from 2000 to 2012 in the chart:
Comoros KM: Probability of Dying at Age 10-14 Years: per 1000
KM: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 2.600 Ratio in 2019. This stayed constant from the previous number of 2.600 Ratio for 2018. KM: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 3.500 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 4.700 Ratio in 1990 and a record low of 2.600 Ratio in 2019. KM: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 2.600 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Comoros KM: Probability of Dying at Age 15-19 Years: per 1000
KM: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 3.300 Ratio in 2019. This records a decrease from the previous number of 3.400 Ratio for 2018. KM: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 6.200 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 12.700 Ratio in 1990 and a record low of 3.300 Ratio in 2019. KM: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 3.300 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Comoros KM: Probability of Dying at Age 20-24 Years: per 1000
KM: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.700 Ratio in 2019. This records a decrease from the previous number of 5.800 Ratio for 2018. KM: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 7.800 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 11.800 Ratio in 1997 and a record low of 5.700 Ratio in 2019. KM: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.700 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Comoros KM: Probability of Dying at Age 5-9 Years: per 1000
KM: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 5.900 Ratio in 2019. This records a decrease from the previous number of 6.100 Ratio for 2018. KM: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 8.600 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 11.900 Ratio in 1990 and a record low of 5.900 Ratio in 2019. KM: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.900 2019 | yearly | 1990 - 2019 |
View Comoros's Comoros KM: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
KM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49
KM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data was reported at 4.900 % in 2012. KM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data is updated yearly, averaging 4.900 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 4.900 % in 2012 and a record low of 4.900 % in 2012. KM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.;United Nations Statistics Division (UNSD);Weighted average;This is the Sustainable Development Goal indicator 5.2.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 4.900 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 from 2012 to 2012 in the chart:
Comoros KM: Smoking Prevalence: Females: % of Adults
KM: Smoking Prevalence: Females: % of Adults data was reported at 4.400 % in 2016. This records a decrease from the previous number of 4.700 % for 2015. KM: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 5.700 % from Dec 2000 to 2016, with 9 observations. The data reached an all-time high of 12.600 % in 2000 and a record low of 4.400 % in 2016. KM: Smoking Prevalence: Females: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of smoking, female is the percentage of women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.400 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Comoros KM: Smoking Prevalence: Males: % of Adults
KM: Smoking Prevalence: Males: % of Adults data was reported at 23.600 % in 2016. This records a decrease from the previous number of 24.000 % for 2015. KM: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 24.900 % from Dec 2000 to 2016, with 9 observations. The data reached an all-time high of 29.700 % in 2000 and a record low of 23.600 % in 2016. KM: Smoking Prevalence: Males: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 23.600 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Comoros KM: Smoking Prevalence: Total: % of Adults: Aged 15+
KM: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 14.000 % in 2016. This records a decrease from the previous number of 14.400 % for 2015. KM: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 15.300 % from Dec 2000 to 2016, with 9 observations. The data reached an all-time high of 21.100 % in 2000 and a record low of 14.000 % in 2016. KM: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.00 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Comoros KM: Suicide Mortality Rate: Female
KM: Suicide Mortality Rate: Female data was reported at 3.600 NA in 2016. This stayed constant from the previous number of 3.600 NA for 2015. KM: Suicide Mortality Rate: Female data is updated yearly, averaging 3.600 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 3.600 NA in 2016 and a record low of 2.900 NA in 2000. KM: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.600 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Comoros KM: Suicide Mortality Rate: Male
KM: Suicide Mortality Rate: Male data was reported at 9.900 NA in 2016. This stayed constant from the previous number of 9.900 NA for 2015. KM: Suicide Mortality Rate: Male data is updated yearly, averaging 9.700 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 9.900 NA in 2016 and a record low of 7.200 NA in 2000. KM: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.900 2016 | yearly | 2000 - 2016 |
View Comoros's Comoros KM: Suicide Mortality Rate: Male from 2000 to 2016 in the chart:
KM: Teenage Mothers
KM: Teenage Mothers data was reported at 11.300 % in 2012. This records an increase from the previous number of 9.100 % for 1996. KM: Teenage Mothers data is updated yearly, averaging 10.200 % from Dec 1996 to 2012, with 2 observations. The data reached an all-time high of 11.300 % in 2012 and a record low of 9.100 % in 1996. KM: Teenage Mothers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.300 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Teenage Mothers from 1996 to 2012 in the chart:
Comoros KM: UHC Service Coverage Index
KM: UHC Service Coverage Index data was reported at 52.000 % in 2017. This records an increase from the previous number of 49.000 % for 2015. KM: UHC Service Coverage Index data is updated yearly, averaging 50.500 % from Dec 2015 to 2017, with 2 observations. The data reached an all-time high of 52.000 % in 2017 and a record low of 49.000 % in 2015. KM: UHC Service Coverage Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Health Statistics. Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100.; ; World Health Organization, Global Health Observatory Data Repository (https://www.who.int/data/gho).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 52.000 2017 | yearly | 2015 - 2017 |
View Comoros's Comoros KM: UHC Service Coverage Index from 2015 to 2017 in the chart:
KM: Unmet Need for Contraception: % of Married Women Aged 15-49
KM: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 32.300 % in 2012. This records a decrease from the previous number of 35.600 % for 1996. KM: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 33.950 % from Dec 1996 to 2012, with 2 observations. The data reached an all-time high of 35.600 % in 1996 and a record low of 32.300 % in 2012. KM: Unmet Need for Contraception: % of Married Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.
| Last | Frequency | Range |
|---|---|---|
| 32.300 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Unmet Need for Contraception: % of Married Women Aged 15-49 from 1996 to 2012 in the chart:
KM: Use of Insecticide-Treated Bed Nets: % of Under-5 Population
KM: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data was reported at 41.100 % in 2012. This records an increase from the previous number of 9.000 % for 2000. KM: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data is updated yearly, averaging 25.050 % from Dec 2000 to 2012, with 2 observations. The data reached an all-time high of 41.100 % in 2012 and a record low of 9.000 % in 2000. KM: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 41.100 2012 | yearly | 2000 - 2012 |
View Comoros's KM: Use of Insecticide-Treated Bed Nets: % of Under-5 Population from 2000 to 2012 in the chart:
KM: Wanted Fertility Rate: Births per Woman
KM: Wanted Fertility Rate: Births per Woman data was reported at 3.800 Ratio in 2012. This records an increase from the previous number of 3.700 Ratio for 1996. KM: Wanted Fertility Rate: Births per Woman data is updated yearly, averaging 3.750 Ratio from Dec 1996 to 2012, with 2 observations. The data reached an all-time high of 3.800 Ratio in 2012 and a record low of 3.700 Ratio in 1996. KM: Wanted Fertility Rate: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.800 2012 | yearly | 1996 - 2012 |
View Comoros's KM: Wanted Fertility Rate: Births per Woman from 1996 to 2012 in the chart:
KM: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49
KM: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 20.800 % in 2012. KM: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 20.800 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 20.800 % in 2012 and a record low of 20.800 % in 2012. KM: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 20.800 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 from 2012 to 2012 in the chart:
KM: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49
KM: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 34.600 % in 2012. KM: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data is updated yearly, averaging 34.600 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 34.600 % in 2012 and a record low of 34.600 % in 2012. KM: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).;Demographic and Health Surveys (DHS);;
| Last | Frequency | Range |
|---|---|---|
| 34.600 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 from 2012 to 2012 in the chart:
KM: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
KM: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 39.000 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 39.000 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 39.000 % in 2012 and a record low of 39.000 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 39.000 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons from 2012 to 2012 in the chart:
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data was reported at 15.700 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data is updated yearly, averaging 15.700 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 15.700 % in 2012 and a record low of 15.700 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 15.700 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him from 2012 to 2012 in the chart:
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data was reported at 12.700 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data is updated yearly, averaging 12.700 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 12.700 % in 2012 and a record low of 12.700 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 12.700 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food from 2012 to 2012 in the chart:
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data was reported at 28.400 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data is updated yearly, averaging 28.400 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 28.400 % in 2012 and a record low of 28.400 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 28.400 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him from 2012 to 2012 in the chart:
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data was reported at 29.700 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data is updated yearly, averaging 29.700 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 29.700 % in 2012 and a record low of 29.700 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 29.700 2012 | yearly | 2012 - 2012 |
View Comoros's KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children from 2012 to 2012 in the chart:
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him
KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data was reported at 20.000 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data is updated yearly, averaging 20.000 % from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 20.000 % in 2012 and a record low of 20.000 % in 2012. KM: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 20.000 2012 | yearly | 2012 - 2012 |