Bhutan Health Statistics
Bhutan BT: ARI Treatment: % of Children Under 5 Taken to a Health Provider
BT: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 74.200 % in 2010. BT: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 74.200 % from Dec 2010 to 2010, with 1 observations. The data reached an all-time high of 74.200 % in 2010 and a record low of 74.200 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 74.200 2010 | yearly | 2010 - 2010 |
View Bhutan's Bhutan BT: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 2010 to 2010 in the chart:
Bhutan BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.100 NA in 2016. This records a decrease from the previous number of 0.300 NA for 2010. BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.200 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 0.300 NA in 2010 and a record low of 0.100 NA in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 0.100 2016 | yearly | 2010 - 2016 |
View Bhutan's Bhutan BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Bhutan BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 0.900 NA in 2016. This records a decrease from the previous number of 1.900 NA for 2010. BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 1.400 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 1.900 NA in 2010 and a record low of 0.900 NA in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 0.900 2016 | yearly | 2010 - 2016 |
View Bhutan's Bhutan BT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Bhutan BT: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
BT: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 65.600 % in 2010. This records an increase from the previous number of 30.700 % for 2000. BT: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 48.150 % from Dec 2000 to 2010, with 2 observations. The data reached an all-time high of 65.600 % in 2010 and a record low of 30.700 % in 2000. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 65.600 2010 | yearly | 1994 - 2010 |
View Bhutan's Bhutan BT: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1994 to 2010 in the chart:
Bhutan BT: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
BT: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 65.400 % in 2010. This records an increase from the previous number of 30.700 % for 2000. BT: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 48.050 % from Dec 2000 to 2010, with 2 observations. The data reached an all-time high of 65.400 % in 2010 and a record low of 30.700 % in 2000. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 65.400 2010 | yearly | 1994 - 2010 |
View Bhutan's Bhutan BT: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1994 to 2010 in the chart:
Bhutan BT: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
BT: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 84.600 % in 2010. BT: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 84.600 % from Dec 2010 to 2010, with 1 observations. The data reached an all-time high of 84.600 % in 2010 and a record low of 84.600 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 84.600 2010 | yearly | 2010 - 2010 |
View Bhutan's Bhutan BT: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2010 to 2010 in the chart:
Bhutan BT: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
BT: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 61.600 % in 2010. BT: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 61.600 % from Dec 2010 to 2010, with 1 observations. The data reached an all-time high of 61.600 % in 2010 and a record low of 61.600 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 61.600 2010 | yearly | 2010 - 2010 |
View Bhutan's Bhutan BT: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 2010 to 2010 in the chart:
Bhutan BT: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
BT: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 60.900 % in 2010. This records an increase from the previous number of 40.000 % for 1989. BT: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 40.000 % from Dec 1986 to 2010, with 4 observations. The data reached an all-time high of 60.900 % in 2010 and a record low of 11.000 % in 1986. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 60.900 2010 | yearly | 1986 - 2010 |
View Bhutan's Bhutan BT: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1986 to 2010 in the chart:
Bhutan BT: External Resources for Health: % of Total Expenditure on Health
BT: External Resources for Health: % of Total Expenditure on Health data was reported at 6.438 % in 2014. This records a decrease from the previous number of 9.300 % for 2013. BT: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 14.155 % from Dec 1996 to 2014, with 19 observations. The data reached an all-time high of 28.761 % in 2002 and a record low of 5.332 % in 2011. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 6.44 2014 | yearly | 1996 - 2014 |
View Bhutan's Bhutan BT: External Resources for Health: % of Total Expenditure on Health from 1996 to 2014 in the chart:
Bhutan BT: Health Expenditure per Capita
BT: Health Expenditure per Capita data was reported at 88.793 USD in 2014. This records a decrease from the previous number of 90.305 USD for 2013. BT: Health Expenditure per Capita data is updated yearly, averaging 67.988 USD from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 119.133 USD in 2008 and a record low of 23.688 USD in 1995. BT: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bhutan – Table BT.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 |
|---|---|---|
| 88.79 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure per Capita from 1995 to 2014 in the chart:
Bhutan BT: Health Expenditure per Capita: PPP: 2011 Price
BT: Health Expenditure per Capita: PPP: 2011 Price data was reported at 281.096 Intl $ in 2014. This records a decrease from the previous number of 283.025 Intl $ for 2013. BT: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 222.222 Intl $ from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 356.508 Intl $ in 2008 and a record low of 84.995 Intl $ in 1995. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 281.10 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure per Capita: PPP: 2011 Price from 1995 to 2014 in the chart:
Bhutan BT: Health Expenditure: Private: % of GDP
BT: Health Expenditure: Private: % of GDP data was reported at 0.958 % in 2014. This records a decrease from the previous number of 1.021 % for 2013. BT: Health Expenditure: Private: % of GDP data is updated yearly, averaging 1.126 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 1.879 % in 1999 and a record low of 0.589 % in 2011. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 0.96 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Bhutan BT: Health Expenditure: Public: % of GDP
BT: Health Expenditure: Public: % of GDP data was reported at 2.615 % in 2014. This records a decrease from the previous number of 2.805 % for 2013. BT: Health Expenditure: Public: % of GDP data is updated yearly, averaging 4.697 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 6.607 % in 2002 and a record low of 2.615 % in 2014. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 2.62 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Bhutan BT: Health Expenditure: Public: % of Government Expenditure
BT: Health Expenditure: Public: % of Government Expenditure data was reported at 8.032 % in 2014. This records a decrease from the previous number of 8.389 % for 2013. BT: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 11.990 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 17.543 % in 1998 and a record low of 6.912 % in 1995. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 8.03 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Bhutan BT: Health Expenditure: Public: % of Total Health Expenditure
BT: Health Expenditure: Public: % of Total Health Expenditure data was reported at 73.189 % in 2014. This records a decrease from the previous number of 73.314 % for 2013. BT: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 77.515 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 87.877 % in 2010 and a record low of 66.770 % in 1995. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 73.19 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Bhutan BT: Health Expenditure: Total: % of GDP
BT: Health Expenditure: Total: % of GDP data was reported at 3.573 % in 2014. This records a decrease from the previous number of 3.826 % for 2013. BT: Health Expenditure: Total: % of GDP data is updated yearly, averaging 5.580 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 7.752 % in 2002 and a record low of 3.573 % in 2014. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 3.57 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
BT: Hospital Beds: per 1000 People
BT: Hospital Beds: per 1000 People data was reported at 1.740 Number in 2012. This records a decrease from the previous number of 1.800 Number for 2011. BT: Hospital Beds: per 1000 People data is updated yearly, averaging 1.615 Number from Dec 1986 to 2012, with 9 observations. The data reached an all-time high of 1.800 Number in 2011 and a record low of 0.847 Number in 1990. BT: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bhutan – Table BT.World Bank.WDI: Social: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.;Data are from the World Health Organization, supplemented by country data.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.740 2012 | yearly | 1986 - 2012 |
View Bhutan's BT: Hospital Beds: per 1000 People from 1986 to 2012 in the chart:
Bhutan BT: Improved Sanitation Facilities: % of Population with Access
BT: Improved Sanitation Facilities: % of Population with Access data was reported at 50.400 % in 2015. This records an increase from the previous number of 50.100 % for 2014. BT: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 34.900 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 50.400 % in 2015 and a record low of 18.900 % in 1990. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 50.40 2015 | yearly | 1990 - 2015 |
View Bhutan's Bhutan BT: Improved Sanitation Facilities: % of Population with Access from 1990 to 2015 in the chart:
Bhutan BT: Improved Sanitation Facilities: Rural: % of Rural Population with Access
BT: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 33.100 % in 2015. This stayed constant from the previous number of 33.100 % for 2014. BT: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 24.000 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 33.100 % in 2015 and a record low of 13.900 % in 1992. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 33.10 2015 | yearly | 1990 - 2015 |
View Bhutan's Bhutan BT: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Bhutan BT: Improved Sanitation Facilities: Urban: % of Urban Population with Access
BT: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 77.900 % in 2015. This stayed constant from the previous number of 77.900 % for 2014. BT: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 62.850 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 77.900 % in 2015 and a record low of 44.500 % in 1992. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 77.90 2015 | yearly | 1990 - 2015 |
View Bhutan's Bhutan BT: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Bhutan BT: Improved Water Source: % of Population with Access
BT: Improved Water Source: % of Population with Access data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. BT: Improved Water Source: % of Population with Access data is updated yearly, averaging 87.250 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 72.000 % in 1990. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 100.00 2015 | yearly | 1990 - 2015 |
View Bhutan's Bhutan BT: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Bhutan BT: Improved Water Source: Rural: % of Rural Population with Access
BT: Improved Water Source: Rural: % of Rural Population with Access data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. BT: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 82.750 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 67.000 % in 1992. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 100.00 2015 | yearly | 1990 - 2015 |
View Bhutan's Bhutan BT: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Bhutan BT: Improved Water Source: Urban: % of Urban Population with Access
BT: Improved Water Source: Urban: % of Urban Population with Access data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. BT: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 98.550 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 97.200 % in 1992. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 100.00 2015 | yearly | 1990 - 2015 |
View Bhutan's Bhutan BT: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Bhutan BT: Intentional Homicides: Female: per 100,000 Female
BT: Intentional Homicides: Female: per 100,000 Female data was reported at 1.071 Ratio in 2016. This records an increase from the previous number of 0.542 Ratio for 2015. BT: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.807 Ratio from Dec 2015 to 2016, with 2 observations. The data reached an all-time high of 1.071 Ratio in 2016 and a record low of 0.542 Ratio in 2015. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 1.071 2016 | yearly | 2015 - 2016 |
View Bhutan's Bhutan BT: Intentional Homicides: Female: per 100,000 Female from 2015 to 2016 in the chart:
Bhutan BT: Intentional Homicides: Male: per 100,000 Male
BT: Intentional Homicides: Male: per 100,000 Male data was reported at 1.181 Ratio in 2016. This records a decrease from the previous number of 2.390 Ratio for 2015. BT: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 1.785 Ratio from Dec 2015 to 2016, with 2 observations. The data reached an all-time high of 2.390 Ratio in 2015 and a record low of 1.181 Ratio in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 1.181 2016 | yearly | 2015 - 2016 |
View Bhutan's Bhutan BT: Intentional Homicides: Male: per 100,000 Male from 2015 to 2016 in the chart:
BT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
BT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 325.000 Ratio in 2011. This records a decrease from the previous number of 482.000 Ratio for 2005. BT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 403.500 Ratio from Dec 1994 to 2011, with 4 observations. The data reached an all-time high of 605.000 Ratio in 1994 and a record low of 240.000 Ratio in 2000. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 325.000 2011 | yearly | 1994 - 2011 |
View Bhutan's BT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1994 to 2011 in the chart:
Bhutan BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 130.000 NA in 2016. BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 130.000 NA from Dec 2016 to 2016, with 1 observations. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 130.000 2016 | yearly | 2016 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Bhutan BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 120.000 NA in 2016. BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 120.000 NA from Dec 2016 to 2016, with 1 observations. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 120.000 2016 | yearly | 2016 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Bhutan BT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
BT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 124.500 Ratio in 2016. BT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 124.500 Ratio from Dec 2016 to 2016, with 1 observations. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 124.500 2016 | yearly | 2016 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Bhutan BT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
BT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.500 Ratio in 2016. This stayed constant from the previous number of 0.500 Ratio for 2015. BT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.600 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 1.100 Ratio in 2000 and a record low of 0.500 Ratio in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 0.500 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Bhutan BT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
BT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.700 Ratio in 2016. This stayed constant from the previous number of 0.700 Ratio for 2015. BT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.900 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 1.800 Ratio in 2000 and a record low of 0.700 Ratio in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 0.700 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Bhutan BT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
BT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.600 Ratio in 2016. This stayed constant from the previous number of 0.600 Ratio for 2015. BT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.700 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 1.400 Ratio in 2000 and a record low of 0.600 Ratio in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 0.600 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Bhutan BT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
BT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 3.900 Ratio in 2016. BT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 3.900 Ratio from Dec 2016 to 2016, with 1 observations. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 3.900 2016 | yearly | 2016 - 2016 |
View Bhutan's Bhutan BT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Bhutan BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 24.900 NA in 2016. This records a decrease from the previous number of 25.400 NA for 2015. BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 26.800 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 33.100 NA in 2000 and a record low of 24.900 NA in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 24.900 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Bhutan BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 21.900 NA in 2016. This records a decrease from the previous number of 22.400 NA for 2015. BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 23.700 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 28.800 NA in 2000 and a record low of 21.900 NA in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 21.900 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Bhutan BT: Number of Deaths Ages 10-14 Years
BT: Number of Deaths Ages 10-14 Years data was reported at 64.000 Person in 2019. This records a decrease from the previous number of 66.000 Person for 2018. BT: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 67.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 76.000 Person in 2013 and a record low of 38.000 Person in 1990. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 64.000 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Bhutan BT: Number of Deaths Ages 15-19 Years
BT: Number of Deaths Ages 15-19 Years data was reported at 78.000 Person in 2019. This records a decrease from the previous number of 81.000 Person for 2018. BT: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 124.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 184.000 Person in 1990 and a record low of 78.000 Person in 2019. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 78.000 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Bhutan BT: Number of Deaths Ages 20-24 Years
BT: Number of Deaths Ages 20-24 Years data was reported at 102.000 Person in 2019. This records a decrease from the previous number of 105.000 Person for 2018. BT: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 108.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 129.000 Person in 1990 and a record low of 95.000 Person in 1999. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 102.000 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Bhutan BT: Number of Deaths Ages 5-14 Years
BT: Number of Deaths Ages 5-14 Years data was reported at 99.000 Person in 2018. This records a decrease from the previous number of 114.000 Person for 2015. BT: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 147.000 Person from Dec 1990 to 2018, with 5 observations. The data reached an all-time high of 306.000 Person in 1990 and a record low of 99.000 Person in 2018. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 99.000 2018 | yearly | 1990 - 2018 |
View Bhutan's Bhutan BT: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Bhutan BT: Number of Deaths Ages 5-9 Years
BT: Number of Deaths Ages 5-9 Years data was reported at 30.000 Person in 2019. This records a decrease from the previous number of 32.000 Person for 2018. BT: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 115.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 256.000 Person in 1990 and a record low of 30.000 Person in 2019. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 30.000 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Bhutan BT: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
BT: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 94.487 % in 2014. This records a decrease from the previous number of 94.542 % for 2013. BT: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 98.924 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 100.000 % in 2004 and a record low of 94.487 % in 2014. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 94.49 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Bhutan BT: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
BT: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 25.333 % in 2014. This records an increase from the previous number of 25.230 % for 2013. BT: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 22.485 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 33.230 % in 1995 and a record low of 11.485 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 25.33 2014 | yearly | 1995 - 2014 |
View Bhutan's Bhutan BT: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
BT: Pregnant Women Receiving Prenatal Care
BT: Pregnant Women Receiving Prenatal Care data was reported at 97.900 % in 2012. This records an increase from the previous number of 97.300 % for 2010. BT: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 92.650 % from Dec 2000 to 2012, with 4 observations. The data reached an all-time high of 97.900 % in 2012 and a record low of 51.000 % in 2000. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 97.900 2012 | yearly | 2000 - 2012 |
View Bhutan's BT: Pregnant Women Receiving Prenatal Care from 2000 to 2012 in the chart:
BT: Prevalence of Anemia among Children: % of Children Under 5
BT: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 43.500 % in 2016. This records a decrease from the previous number of 45.000 % for 2015. BT: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 68.100 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 78.400 % in 1990 and a record low of 43.500 % in 2016. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 43.500 2016 | yearly | 1990 - 2016 |
View Bhutan's BT: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Bhutan BT: Prevalence of Overweight: Weight for Height: % of Children Under 5
BT: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 7.600 % in 2010. This records an increase from the previous number of 5.400 % for 2008. BT: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 4.650 % from Dec 1987 to 2010, with 4 observations. The data reached an all-time high of 7.600 % in 2010 and a record low of 3.500 % in 1987. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 7.600 2010 | yearly | 1987 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1987 to 2010 in the chart:
Bhutan BT: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
BT: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 7.600 % in 2010. This records an increase from the previous number of 4.900 % for 2008. BT: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 4.900 % from Dec 1999 to 2010, with 3 observations. The data reached an all-time high of 7.600 % in 2010 and a record low of 3.300 % in 1999. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 7.600 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
BT: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 7.500 % in 2010. This records an increase from the previous number of 5.900 % for 2008. BT: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 5.900 % from Dec 1999 to 2010, with 3 observations. The data reached an all-time high of 7.500 % in 2010 and a record low of 4.600 % in 1999. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 7.500 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
BT: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 2.000 % in 2010. This records an increase from the previous number of 1.400 % for 2008. BT: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 1.400 % from Dec 1999 to 2010, with 3 observations. The data reached an all-time high of 2.000 % in 2010 and a record low of 0.800 % in 1999. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 2.000 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
BT: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 1.900 % in 2010. This records an increase from the previous number of 1.000 % for 2008. BT: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 1.450 % from Dec 2008 to 2010, with 2 observations. The data reached an all-time high of 1.900 % in 2010 and a record low of 1.000 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 1.900 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
BT: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 2.200 % in 2010. This records an increase from the previous number of 1.700 % for 2008. BT: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 1.950 % from Dec 2008 to 2010, with 2 observations. The data reached an all-time high of 2.200 % in 2010 and a record low of 1.700 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 2.200 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Stunting: Height for Age: % of Children Under 5
BT: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 33.500 % in 2010. This records a decrease from the previous number of 34.900 % for 2008. BT: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 41.300 % from Dec 1987 to 2010, with 4 observations. The data reached an all-time high of 60.900 % in 1987 and a record low of 33.500 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 33.500 2010 | yearly | 1987 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1987 to 2010 in the chart:
Bhutan BT: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
BT: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 33.600 % in 2010. This records an increase from the previous number of 31.700 % for 2008. BT: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 33.600 % from Dec 1999 to 2010, with 3 observations. The data reached an all-time high of 43.400 % in 1999 and a record low of 31.700 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 33.600 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Stunting: Height for Age: Male: % of Children Under 5
BT: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 33.400 % in 2010. This records a decrease from the previous number of 37.800 % for 2008. BT: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 37.800 % from Dec 1999 to 2010, with 3 observations. The data reached an all-time high of 52.100 % in 1999 and a record low of 33.400 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 33.400 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Underweight: Weight for Age: % of Children Under 5
BT: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 12.700 % in 2010. This records an increase from the previous number of 10.400 % for 2008. BT: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 13.300 % from Dec 1987 to 2010, with 4 observations. The data reached an all-time high of 34.000 % in 1987 and a record low of 10.400 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 12.700 2010 | yearly | 1987 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1987 to 2010 in the chart:
Bhutan BT: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5
BT: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 12.000 % in 2010. This records an increase from the previous number of 10.000 % for 2008. BT: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 11.000 % from Dec 2008 to 2010, with 2 observations. The data reached an all-time high of 12.000 % in 2010 and a record low of 10.000 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 12.000 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5
BT: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 13.300 % in 2010. This records an increase from the previous number of 10.700 % for 2008. BT: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 12.000 % from Dec 2008 to 2010, with 2 observations. The data reached an all-time high of 13.300 % in 2010 and a record low of 10.700 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 13.300 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Wasting: Weight for Height: % of Children Under 5
BT: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 5.900 % in 2010. This records an increase from the previous number of 4.500 % for 2008. BT: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 4.850 % from Dec 1987 to 2010, with 4 observations. The data reached an all-time high of 5.900 % in 2010 and a record low of 2.600 % in 1999. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 5.900 2010 | yearly | 1987 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1987 to 2010 in the chart:
Bhutan BT: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5
BT: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 5.500 % in 2010. This records an increase from the previous number of 4.000 % for 2008. BT: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 4.750 % from Dec 2008 to 2010, with 2 observations. The data reached an all-time high of 5.500 % in 2010 and a record low of 4.000 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 5.500 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5
BT: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 6.200 % in 2010. This records an increase from the previous number of 4.900 % for 2008. BT: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 5.550 % from Dec 2008 to 2010, with 2 observations. The data reached an all-time high of 6.200 % in 2010 and a record low of 4.900 % in 2008. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 6.200 2010 | yearly | 1999 - 2010 |
View Bhutan's Bhutan BT: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 from 1999 to 2010 in the chart:
Bhutan BT: Probability of Dying at Age 10-14 Years: per 1000
BT: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 4.700 Ratio in 2019. This records a decrease from the previous number of 4.800 Ratio for 2018. BT: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 4.400 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 5.200 Ratio in 2014 and a record low of 2.900 Ratio in 1990. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 4.700 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Bhutan BT: Probability of Dying at Age 15-19 Years: per 1000
BT: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 5.500 Ratio in 2019. This records a decrease from the previous number of 5.600 Ratio for 2018. BT: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 8.100 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 16.400 Ratio in 1990 and a record low of 5.500 Ratio in 2019. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 5.500 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Bhutan BT: Probability of Dying at Age 20-24 Years: per 1000
BT: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 6.800 Ratio in 2019. This stayed constant from the previous number of 6.800 Ratio for 2018. BT: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 7.750 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 13.900 Ratio in 1990 and a record low of 6.800 Ratio in 2019. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 6.800 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Bhutan BT: Probability of Dying at Age 5-9 Years: per 1000
BT: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 2.400 Ratio in 2019. This records a decrease from the previous number of 2.500 Ratio for 2018. BT: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 7.450 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 16.700 Ratio in 1990 and a record low of 2.400 Ratio in 2019. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 2.400 2019 | yearly | 1990 - 2019 |
View Bhutan's Bhutan BT: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Bhutan BT: Suicide Mortality Rate: Female
BT: Suicide Mortality Rate: Female data was reported at 8.500 NA in 2016. This records a decrease from the previous number of 8.700 NA for 2015. BT: Suicide Mortality Rate: Female data is updated yearly, averaging 8.700 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 9.600 NA in 2000 and a record low of 8.400 NA in 2010. BT: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bhutan – Table BT.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 |
|---|---|---|
| 8.500 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Bhutan BT: Suicide Mortality Rate: Male
BT: Suicide Mortality Rate: Male data was reported at 14.000 NA in 2016. This records a decrease from the previous number of 14.100 NA for 2015. BT: Suicide Mortality Rate: Male data is updated yearly, averaging 14.100 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 15.200 NA in 2000 and a record low of 13.400 NA in 2010. BT: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bhutan – Table BT.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 |
|---|---|---|
| 14.000 2016 | yearly | 2000 - 2016 |
View Bhutan's Bhutan BT: Suicide Mortality Rate: Male from 2000 to 2016 in the chart:
Bhutan BT: UHC Service Coverage Index
BT: UHC Service Coverage Index data was reported at 62.000 % in 2017. This records an increase from the previous number of 59.000 % for 2015. BT: UHC Service Coverage Index data is updated yearly, averaging 60.500 % from Dec 2015 to 2017, with 2 observations. The data reached an all-time high of 62.000 % in 2017 and a record low of 59.000 % in 2015. BT: UHC Service Coverage Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bhutan – Table BT.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 |
|---|---|---|
| 62.000 2017 | yearly | 2015 - 2017 |
View Bhutan's Bhutan BT: UHC Service Coverage Index from 2015 to 2017 in the chart:
Bhutan BT: Unmet Need for Contraception: % of Married Women Aged 15-49
BT: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 11.700 % in 2010. BT: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 11.700 % from Dec 2010 to 2010, with 1 observations. The data reached an all-time high of 11.700 % in 2010 and a record low of 11.700 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 11.700 2010 | yearly | 2010 - 2010 |
View Bhutan's Bhutan BT: Unmet Need for Contraception: % of Married Women Aged 15-49 from 2010 to 2010 in the chart:
Bhutan BT: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
BT: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 68.400 % in 2010. BT: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 68.400 % from Dec 2010 to 2010, with 1 observations. The data reached an all-time high of 68.400 % in 2010 and a record low of 68.400 % in 2010. BT: 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 Bhutan – Table BT.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 |
|---|---|---|
| 68.400 2010 | yearly | 2010 - 2010 |