Bolivia Health Statistics
Bolivia BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 1.600 NA in 2016. This records a decrease from the previous number of 2.100 NA for 2010. BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 1.850 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 2.100 NA in 2010 and a record low of 1.600 NA in 2016. BO: 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 Bolivia – Table BO.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.600 2016 | yearly | 2010 - 2016 |
View Bolivia's Bolivia BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Bolivia BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 8.000 NA in 2016. This records a decrease from the previous number of 9.800 NA for 2010. BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 8.900 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 9.800 NA in 2010 and a record low of 8.000 NA in 2016. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 8.000 2016 | yearly | 2010 - 2016 |
View Bolivia's Bolivia BO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Bolivia BO: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
BO: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 35.200 % in 2008. This records an increase from the previous number of 28.700 % for 2003. BO: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 30.400 % from Dec 1998 to 2008, with 3 observations. The data reached an all-time high of 35.200 % in 2008 and a record low of 28.700 % in 2003. BO: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months.;Demographic and Health Surveys, and UNAIDS.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.200 2008 | yearly | 1998 - 2008 |
View Bolivia's Bolivia BO: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 from 1998 to 2008 in the chart:
BO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
BO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 42.800 % in 2008. This records a decrease from the previous number of 43.000 % for 2003. BO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 38.250 % from Dec 1994 to 2008, with 4 observations. The data reached an all-time high of 43.000 % in 2003 and a record low of 24.000 % in 1994. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 50.279 2016 | yearly | 1989 - 2016 |
View Bolivia's BO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1989 to 2016 in the chart:
Bolivia BO: Depth of the Food Deficit: Kilocalories per Person per Day
BO: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 104.000 kcal in 2016. This records a decrease from the previous number of 109.000 kcal for 2015. BO: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 209.000 kcal from Dec 1992 to 2016, with 25 observations. The data reached an all-time high of 261.000 kcal in 1992 and a record low of 104.000 kcal in 2016. BO: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 104.000 2016 | yearly | 1992 - 2016 |
View Bolivia's Bolivia BO: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Bolivia BO: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
BO: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 29.000 % in 2008. This records a decrease from the previous number of 54.000 % for 2004. BO: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 53.850 % from Dec 1989 to 2008, with 6 observations. The data reached an all-time high of 59.800 % in 1989 and a record low of 29.000 % in 2008. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 29.000 2008 | yearly | 1989 - 2008 |
View Bolivia's Bolivia BO: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 1989 to 2008 in the chart:
Bolivia BO: External Resources for Health: % of Total Expenditure on Health
BO: External Resources for Health: % of Total Expenditure on Health data was reported at 3.245 % in 2014. This records a decrease from the previous number of 4.381 % for 2013. BO: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 6.691 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 12.009 % in 2004 and a record low of 3.245 % in 2014. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 3.24 2014 | yearly | 1995 - 2014 |
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Bolivia BO: Health Expenditure per Capita
BO: Health Expenditure per Capita data was reported at 208.784 USD in 2014. This records an increase from the previous number of 178.727 USD for 2013. BO: Health Expenditure per Capita data is updated yearly, averaging 61.610 USD from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 208.784 USD in 2014 and a record low of 33.097 USD in 1995. BO: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.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 |
|---|---|---|
| 208.78 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure per Capita from 1995 to 2014 in the chart:
Bolivia BO: Health Expenditure per Capita: PPP: 2011 Price
BO: Health Expenditure per Capita: PPP: 2011 Price data was reported at 427.411 Intl $ in 2014. This records an increase from the previous number of 382.114 Intl $ for 2013. BO: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 235.035 Intl $ from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 427.411 Intl $ in 2014 and a record low of 111.615 Intl $ in 1995. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 427.41 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure per Capita: PPP: 2011 Price from 1995 to 2014 in the chart:
Bolivia BO: Health Expenditure: Private: % of GDP
BO: Health Expenditure: Private: % of GDP data was reported at 1.769 % in 2014. This records an increase from the previous number of 1.727 % for 2013. BO: Health Expenditure: Private: % of GDP data is updated yearly, averaging 1.775 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 2.594 % in 1999 and a record low of 1.502 % in 1997. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 1.77 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Bolivia BO: Health Expenditure: Public: % of GDP
BO: Health Expenditure: Public: % of GDP data was reported at 4.565 % in 2014. This records an increase from the previous number of 4.238 % for 2013. BO: Health Expenditure: Public: % of GDP data is updated yearly, averaging 3.562 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 4.565 % in 2014 and a record low of 2.112 % in 1995. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 4.57 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Bolivia BO: Health Expenditure: Public: % of Government Expenditure
BO: Health Expenditure: Public: % of Government Expenditure data was reported at 11.752 % in 2014. This records a decrease from the previous number of 11.959 % for 2013. BO: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 11.050 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 12.051 % in 2006 and a record low of 7.866 % in 1995. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 11.75 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Bolivia BO: Health Expenditure: Public: % of Total Health Expenditure
BO: Health Expenditure: Public: % of Total Health Expenditure data was reported at 72.068 % in 2014. This records an increase from the previous number of 71.054 % for 2013. BO: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 67.128 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 72.068 % in 2014 and a record low of 56.637 % in 1995. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 72.07 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Bolivia BO: Health Expenditure: Total: % of GDP
BO: Health Expenditure: Total: % of GDP data was reported at 6.335 % in 2014. This records an increase from the previous number of 5.965 % for 2013. BO: Health Expenditure: Total: % of GDP data is updated yearly, averaging 5.467 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 6.529 % in 2002 and a record low of 3.729 % in 1995. BO: 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 Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.33 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
Bolivia BO: Improved Sanitation Facilities: % of Population with Access
BO: Improved Sanitation Facilities: % of Population with Access data was reported at 50.300 % in 2015. This records an increase from the previous number of 50.200 % for 2014. BO: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 39.950 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 50.300 % in 2015 and a record low of 28.400 % in 1990. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 50.30 2015 | yearly | 1990 - 2015 |
View Bolivia's Bolivia BO: Improved Sanitation Facilities: % of Population with Access from 1990 to 2015 in the chart:
Bolivia BO: Improved Sanitation Facilities: Rural: % of Rural Population with Access
BO: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 27.500 % in 2015. This stayed constant from the previous number of 27.500 % for 2014. BO: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 19.650 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 27.500 % in 2015 and a record low of 11.100 % in 1990. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 27.50 2015 | yearly | 1990 - 2015 |
View Bolivia's Bolivia BO: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Bolivia BO: Improved Sanitation Facilities: Urban: % of Urban Population with Access
BO: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 60.800 % in 2015. This stayed constant from the previous number of 60.800 % for 2014. BO: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 51.900 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 60.800 % in 2015 and a record low of 42.200 % in 1990. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 60.80 2015 | yearly | 1990 - 2015 |
View Bolivia's Bolivia BO: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Bolivia BO: Improved Water Source: % of Population with Access
BO: Improved Water Source: % of Population with Access data was reported at 90.000 % in 2015. This stayed constant from the previous number of 90.000 % for 2014. BO: Improved Water Source: % of Population with Access data is updated yearly, averaging 80.750 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 90.000 % in 2015 and a record low of 68.200 % in 1990. BO: 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 Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 90.00 2015 | yearly | 1990 - 2015 |
View Bolivia's Bolivia BO: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Bolivia BO: Improved Water Source: Rural: % of Rural Population with Access
BO: Improved Water Source: Rural: % of Rural Population with Access data was reported at 75.600 % in 2015. This stayed constant from the previous number of 75.600 % for 2014. BO: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 58.750 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 75.600 % in 2015 and a record low of 40.400 % in 1990. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 75.60 2015 | yearly | 1990 - 2015 |
View Bolivia's Bolivia BO: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Bolivia BO: Improved Water Source: Urban: % of Urban Population with Access
BO: Improved Water Source: Urban: % of Urban Population with Access data was reported at 96.700 % in 2015. This stayed constant from the previous number of 96.700 % for 2014. BO: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 93.700 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 96.700 % in 2015 and a record low of 90.500 % in 1990. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 96.70 2015 | yearly | 1990 - 2015 |
View Bolivia's Bolivia BO: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Bolivia BO: Incidence of HIV: % of Uninfected Population Aged 15-49
BO: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.020 % in 2017. This records a decrease from the previous number of 0.030 % for 2016. BO: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.030 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 0.040 % in 2006 and a record low of 0.010 % in 1994. BO: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.020 2016 | yearly | 1990 - 2016 |
View Bolivia's Bolivia BO: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Bolivia BO: Intentional Homicides: Female: per 100,000 Female
BO: Intentional Homicides: Female: per 100,000 Female data was reported at 4.305 Ratio in 2016. This records a decrease from the previous number of 4.501 Ratio for 2015. BO: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 4.305 Ratio from Dec 2008 to 2016, with 3 observations. The data reached an all-time high of 4.501 Ratio in 2015 and a record low of 2.866 Ratio in 2008. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 4.305 2016 | yearly | 2008 - 2016 |
View Bolivia's Bolivia BO: Intentional Homicides: Female: per 100,000 Female from 2008 to 2016 in the chart:
Bolivia BO: Intentional Homicides: Male: per 100,000 Male
BO: Intentional Homicides: Male: per 100,000 Male data was reported at 8.289 Ratio in 2016. This records an increase from the previous number of 8.006 Ratio for 2015. BO: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 8.289 Ratio from Dec 2008 to 2016, with 3 observations. The data reached an all-time high of 14.355 Ratio in 2008 and a record low of 8.006 Ratio in 2015. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 8.289 2016 | yearly | 2008 - 2016 |
View Bolivia's Bolivia BO: Intentional Homicides: Male: per 100,000 Male from 2008 to 2016 in the chart:
BO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
BO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 176.000 Ratio in 2012. This records a decrease from the previous number of 396.000 Ratio for 2008. BO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 339.500 Ratio from Dec 1994 to 2012, with 4 observations. The data reached an all-time high of 396.000 Ratio in 2008 and a record low of 176.000 Ratio in 2012. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 176.000 2012 | yearly | 1994 - 2012 |
View Bolivia's BO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1994 to 2012 in the chart:
Bolivia BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 56.000 NA in 2016. BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 56.000 NA from Dec 2016 to 2016, with 1 observations. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 56.000 2016 | yearly | 2016 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Bolivia BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 72.000 NA in 2016. BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 72.000 NA from Dec 2016 to 2016, with 1 observations. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 72.000 2016 | yearly | 2016 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Bolivia BO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
BO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 63.700 Ratio in 2016. BO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 63.700 Ratio from Dec 2016 to 2016, with 1 observations. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 63.700 2016 | yearly | 2016 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Bolivia BO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
BO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.400 Ratio in 2016. This records a decrease from the previous number of 1.500 Ratio for 2015. BO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 2.100 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 4.000 Ratio in 2000 and a record low of 1.400 Ratio in 2016. BO: 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 Bolivia – Table BO.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.400 2016 | yearly | 2000 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Bolivia BO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
BO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 2.600 Ratio in 2016. This records a decrease from the previous number of 2.800 Ratio for 2015. BO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 3.500 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 5.500 Ratio in 2000 and a record low of 2.600 Ratio in 2016. BO: 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 Bolivia – Table BO.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.600 2016 | yearly | 2000 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Bolivia BO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
BO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 2.000 Ratio in 2016. This records a decrease from the previous number of 2.100 Ratio for 2015. BO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 2.800 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 4.700 Ratio in 2000 and a record low of 2.000 Ratio in 2016. BO: 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 Bolivia – Table BO.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.000 2016 | yearly | 2000 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Bolivia BO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
BO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 5.600 Ratio in 2016. BO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 5.600 Ratio from Dec 2016 to 2016, with 1 observations. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 5.600 2016 | yearly | 2016 - 2016 |
View Bolivia's Bolivia BO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Bolivia BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 16.800 NA in 2016. This records a decrease from the previous number of 17.000 NA for 2015. BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 18.500 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 22.700 NA in 2000 and a record low of 16.800 NA in 2016. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 16.800 2016 | yearly | 2000 - 2016 |
View Bolivia's Bolivia BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Bolivia BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 17.700 NA in 2016. This records a decrease from the previous number of 17.800 NA for 2015. BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 19.100 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 23.300 NA in 2000 and a record low of 17.700 NA in 2016. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 17.700 2016 | yearly | 2000 - 2016 |
View Bolivia's Bolivia BO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Bolivia BO: Newly Infected with HIV: Adults: Aged 15+
BO: Newly Infected with HIV: Adults: Aged 15+ data was reported at 1,300.000 Number in 2018. This stayed constant from the previous number of 1,300.000 Number for 2017. BO: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 1,300.000 Number from Dec 1990 to 2018, with 29 observations. The data reached an all-time high of 3,700.000 Number in 1998 and a record low of 200.000 Number in 1990. BO: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,300.000 2018 | yearly | 1990 - 2018 |
View Bolivia's Bolivia BO: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Bolivia BO: Number of Deaths Ages 10-14 Years
BO: Number of Deaths Ages 10-14 Years data was reported at 430.000 Person in 2019. This records a decrease from the previous number of 441.000 Person for 2018. BO: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 593.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 727.000 Person in 1990 and a record low of 430.000 Person in 2019. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 430.000 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Bolivia BO: Number of Deaths Ages 15-19 Years
BO: Number of Deaths Ages 15-19 Years data was reported at 1,042.000 Person in 2019. This records a decrease from the previous number of 1,065.000 Person for 2018. BO: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 1,358.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1,624.000 Person in 1990 and a record low of 1,042.000 Person in 2019. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 1,042.000 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Bolivia BO: Number of Deaths Ages 20-24 Years
BO: Number of Deaths Ages 20-24 Years data was reported at 1,112.000 Person in 2019. This records an increase from the previous number of 1,110.000 Person for 2018. BO: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 1,147.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1,467.000 Person in 1990 and a record low of 1,065.000 Person in 2009. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 1,112.000 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Bolivia BO: Number of Deaths Ages 5-14 Years
BO: Number of Deaths Ages 5-14 Years data was reported at 1,063.000 Person in 2018. This records a decrease from the previous number of 1,165.000 Person for 2015. BO: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 1,365.000 Person from Dec 1990 to 2018, with 5 observations. The data reached an all-time high of 2,227.000 Person in 1990 and a record low of 1,063.000 Person in 2018. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 1,063.000 2018 | yearly | 1990 - 2018 |
View Bolivia's Bolivia BO: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Bolivia BO: Number of Deaths Ages 5-9 Years
BO: Number of Deaths Ages 5-9 Years data was reported at 536.000 Person in 2019. This records a decrease from the previous number of 554.000 Person for 2018. BO: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 899.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1,340.000 Person in 1990 and a record low of 536.000 Person in 2019. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 536.000 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Bolivia BO: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
BO: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 82.728 % in 2014. This records a decrease from the previous number of 84.132 % for 2013. BO: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 81.501 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 85.310 % in 2010 and a record low of 76.789 % in 1995. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 82.73 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Bolivia BO: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
BO: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 23.108 % in 2014. This records a decrease from the previous number of 24.353 % for 2013. BO: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 27.095 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 35.087 % in 1999 and a record low of 23.108 % in 2014. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 23.11 2014 | yearly | 1995 - 2014 |
View Bolivia's Bolivia BO: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
BO: Prevalence of Anemia among Children: % of Children Under 5
BO: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 46.900 % in 2016. This records a decrease from the previous number of 47.500 % for 2015. BO: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 53.900 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 59.200 % in 1990 and a record low of 46.900 % in 2016. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 46.900 2016 | yearly | 1990 - 2016 |
View Bolivia's BO: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Bolivia BO: Probability of Dying at Age 10-14 Years: per 1000
BO: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 1.900 Ratio in 2019. This stayed constant from the previous number of 1.900 Ratio for 2018. BO: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 2.850 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 4.500 Ratio in 1990 and a record low of 1.900 Ratio in 2019. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 1.900 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Bolivia BO: Probability of Dying at Age 15-19 Years: per 1000
BO: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 4.600 Ratio in 2019. This records a decrease from the previous number of 4.700 Ratio for 2018. BO: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 7.250 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 11.400 Ratio in 1990 and a record low of 4.600 Ratio in 2019. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 4.600 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Bolivia BO: Probability of Dying at Age 20-24 Years: per 1000
BO: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.300 Ratio in 2019. This stayed constant from the previous number of 5.300 Ratio for 2018. BO: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 6.950 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 12.100 Ratio in 1990 and a record low of 5.300 Ratio in 2019. BO: 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 Bolivia – Table BO.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.300 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Bolivia BO: Probability of Dying at Age 5-9 Years: per 1000
BO: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 2.300 Ratio in 2019. This stayed constant from the previous number of 2.300 Ratio for 2018. BO: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 4.000 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 7.500 Ratio in 1990 and a record low of 2.300 Ratio in 2019. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 2.300 2019 | yearly | 1990 - 2019 |
View Bolivia's Bolivia BO: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Bolivia BO: Smoking Prevalence: Females: % of Adults
BO: Smoking Prevalence: Females: % of Adults data was reported at 17.100 % in 2015. This records a decrease from the previous number of 18.600 % for 2012. BO: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 19.700 % from Dec 2000 to 2015, with 5 observations. The data reached an all-time high of 26.400 % in 2000 and a record low of 17.100 % in 2015. BO: Smoking Prevalence: Females: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Prevalence of smoking, female is the percentage of women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.10 2015 | yearly | 2000 - 2015 |
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Bolivia BO: Smoking Prevalence: Males: % of Adults
BO: Smoking Prevalence: Males: % of Adults data was reported at 30.500 % in 2015. This records a decrease from the previous number of 33.600 % for 2012. BO: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 35.800 % from Dec 2000 to 2015, with 5 observations. The data reached an all-time high of 50.900 % in 2000 and a record low of 30.500 % in 2015. BO: Smoking Prevalence: Males: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 30.50 2015 | yearly | 2000 - 2015 |
View Bolivia's Bolivia BO: Smoking Prevalence: Males: % of Adults from 2000 to 2015 in the chart:
BO: Specialist Surgical Workforce: per 100,000 population
BO: Specialist Surgical Workforce: per 100,000 population data was reported at 33.870 Number in 2012. BO: Specialist Surgical Workforce: per 100,000 population data is updated yearly, averaging 33.870 Number from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 33.870 Number in 2012 and a record low of 33.870 Number in 2012. BO: Specialist Surgical Workforce: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.;Data collected by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org); Data collected by WHO Collaborating Centre for Surgery and Public Health at Lund University from various sources including Ministries of Health or equivalent national regulatory bodies, national official entities such as medical councils, Eurostat, OECD, WHO Euro Health For All Database, WHO EURO Technical resources for health Database; BMJ Glob Health.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 33.870 2012 | yearly | 2012 - 2012 |
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Bolivia BO: Suicide Mortality Rate: Female
BO: Suicide Mortality Rate: Female data was reported at 8.600 NA in 2016. This records a decrease from the previous number of 8.800 NA for 2015. BO: Suicide Mortality Rate: Female data is updated yearly, averaging 10.400 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 12.700 NA in 2000 and a record low of 8.600 NA in 2016. BO: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.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 |
|---|---|---|
| 8.600 2016 | yearly | 2000 - 2016 |
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Bolivia BO: Suicide Mortality Rate: Male
BO: Suicide Mortality Rate: Male data was reported at 15.800 NA in 2016. This records a decrease from the previous number of 15.900 NA for 2015. BO: Suicide Mortality Rate: Male data is updated yearly, averaging 17.700 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 20.000 NA in 2000 and a record low of 15.800 NA in 2016. BO: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.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 |
|---|---|---|
| 15.800 2016 | yearly | 2000 - 2016 |
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Bolivia BO: Teenage Mothers
BO: Teenage Mothers data was reported at 17.900 % in 2008. This records an increase from the previous number of 15.700 % for 2003. BO: Teenage Mothers data is updated yearly, averaging 17.200 % from Dec 1989 to 2008, with 5 observations. The data reached an all-time high of 17.900 % in 2008 and a record low of 13.700 % in 1998. BO: Teenage Mothers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.900 2008 | yearly | 1989 - 2008 |
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Bolivia BO: Wanted Fertility Rate: Births per Woman
BO: Wanted Fertility Rate: Births per Woman data was reported at 2.000 Ratio in 2008. This records a decrease from the previous number of 2.100 Ratio for 2003. BO: Wanted Fertility Rate: Births per Woman data is updated yearly, averaging 2.500 Ratio from Dec 1989 to 2008, with 5 observations. The data reached an all-time high of 2.700 Ratio in 1994 and a record low of 2.000 Ratio in 2008. BO: Wanted Fertility Rate: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.000 2008 | yearly | 1989 - 2008 |
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Bolivia BO: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49
BO: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 74.100 % in 2008. This records an increase from the previous number of 67.000 % for 2003. BO: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data is updated yearly, averaging 70.550 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 74.100 % in 2008 and a record low of 67.000 % in 2003. BO: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).;Demographic and Health Surveys (DHS);;
| Last | Frequency | Range |
|---|---|---|
| 74.100 2008 | yearly | 2003 - 2008 |
View Bolivia's Bolivia BO: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 from 2003 to 2008 in the chart:
Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
BO: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 16.100 % in 2008. This records a decrease from the previous number of 22.100 % for 2003. BO: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 19.100 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 22.100 % in 2003 and a record low of 16.100 % in 2008. BO: 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 Bolivia – Table BO.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 |
|---|---|---|
| 16.100 2008 | yearly | 2003 - 2008 |
View Bolivia's Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons from 2003 to 2008 in the chart:
Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him
BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data was reported at 5.200 % in 2008. This records a decrease from the previous number of 6.400 % for 2003. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data is updated yearly, averaging 5.800 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 6.400 % in 2003 and a record low of 5.200 % in 2008. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 5.200 2008 | yearly | 2003 - 2008 |
View Bolivia's Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him from 2003 to 2008 in the chart:
Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food
BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data was reported at 3.300 % in 2008. This records a decrease from the previous number of 5.400 % for 2003. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data is updated yearly, averaging 4.350 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 5.400 % in 2003 and a record low of 3.300 % in 2008. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 3.300 2008 | yearly | 2003 - 2008 |
View Bolivia's Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food from 2003 to 2008 in the chart:
Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him
BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data was reported at 5.900 % in 2008. This records a decrease from the previous number of 9.000 % for 2003. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data is updated yearly, averaging 7.450 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 9.000 % in 2003 and a record low of 5.900 % in 2008. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 5.900 2008 | yearly | 2003 - 2008 |
View Bolivia's Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him from 2003 to 2008 in the chart:
Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children
BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data was reported at 12.300 % in 2008. This records a decrease from the previous number of 16.800 % for 2003. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data is updated yearly, averaging 14.550 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 16.800 % in 2003 and a record low of 12.300 % in 2008. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 12.300 2008 | yearly | 2003 - 2008 |
View Bolivia's Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children from 2003 to 2008 in the chart:
Bolivia BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him
BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data was reported at 2.200 % in 2008. This records a decrease from the previous number of 2.700 % for 2003. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data is updated yearly, averaging 2.450 % from Dec 2003 to 2008, with 2 observations. The data reached an all-time high of 2.700 % in 2003 and a record low of 2.200 % in 2008. BO: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 2.200 2008 | yearly | 2003 - 2008 |