Belarus Health Statistics
Belarus BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 5.500 NA in 2016. This records a decrease from the previous number of 7.900 NA for 2010. BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 6.700 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 7.900 NA in 2010 and a record low of 5.500 NA in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 5.500 2016 | yearly | 2010 - 2016 |
View Belarus's Belarus BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Belarus BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 18.000 NA in 2016. This records a decrease from the previous number of 28.900 NA for 2010. BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 23.450 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 28.900 NA in 2010 and a record low of 18.000 NA in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 18.000 2016 | yearly | 2010 - 2016 |
View Belarus's Belarus BY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Belarus BY: Completeness of Infant Death Reporting
BY: Completeness of Infant Death Reporting data was reported at 62.174 % in 2010. This records a decrease from the previous number of 69.000 % for 2008. BY: Completeness of Infant Death Reporting data is updated yearly, averaging 69.000 % from Dec 2006 (Median) to 2010, with 3 observations. The data reached an all-time high of 80.521 % in 2006 and a record low of 62.174 % in 2010. BY: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
| Last | Frequency | Range |
|---|---|---|
| 62.174 2010 | yearly | 2006 - 2010 |
View Belarus's Belarus BY: Completeness of Infant Death Reporting from 2006 to 2010 in the chart:
Belarus BY: Completeness of Total Death Reporting
BY: Completeness of Total Death Reporting data was reported at 99.706 % in 2010. This records an increase from the previous number of 97.388 % for 2009. BY: Completeness of Total Death Reporting data is updated yearly, averaging 97.638 % from Dec 2006 (Median) to 2010, with 4 observations. The data reached an all-time high of 99.706 % in 2010 and a record low of 95.833 % in 2008. BY: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 99.706 2010 | yearly | 2006 - 2010 |
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Belarus BY: Consumption of Iodized Salt: % of Households
BY: Consumption of Iodized Salt: % of Households data was reported at 85.400 % in 2012. This records a decrease from the previous number of 94.000 % for 2008. BY: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 85.400 % from Dec 2004 (Median) to 2012, with 3 observations. The data reached an all-time high of 94.000 % in 2008 and a record low of 55.100 % in 2004. BY: Consumption of Iodized Salt: % of Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine.;United Nations Children's Fund, Division of Data, Analysis, Planning and Monitoring (2019). UNICEF Global Databases on Iodized salt, New York, June 2019;Weighted average;Iodine deficiency is the single most important cause of preventable mental retardation, contributes significantly to the risk of stillbirth and miscarriage, and increases the incidence of infant mortality. A diet low in iodine is the main cause of iodine deficiency. It usually occurs among populations living in areas where the soil has been depleted of iodine. If soil is deficient in iodine, then so are the plants grown in it, including the grains and vegetables that people and animals consume. There are almost no countries in the world where iodine deficiency has not been a public health problem. Many newborns in low- and middle-income countries remain unprotected from the lifelong consequences of brain damage associated with iodine deficiency disorders, which affect a child's ability to learn and to earn a living as an adult, and in turn prevents children, communities, and countries from fulfilling their potential (UNICEF, www.childinfo.org). Widely used and inexpensive, iodized salt is the best source of iodine, and a global campaign to iodize edible salt is significantly reducing the risks associated with iodine deficiency.
| Last | Frequency | Range |
|---|---|---|
| 85.400 2012 | yearly | 2004 - 2012 |
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BY: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
BY: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 74.200 % in 2012. BY: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 74.200 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 74.200 % in 2012 and a record low of 74.200 % in 2012. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 74.200 2012 | yearly | 2012 - 2012 |
View Belarus's BY: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2012 to 2012 in the chart:
Belarus BY: External Resources for Health: % of Total Expenditure on Health
BY: External Resources for Health: % of Total Expenditure on Health data was reported at 0.364 % in 2014. This records a decrease from the previous number of 0.452 % for 2013. BY: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 0.144 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 0.644 % in 2012 and a record low of 0.045 % in 1998. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 0.36 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: External Resources for Health: % of Total Expenditure on Health from 1995 to 2014 in the chart:
Belarus BY: Health Expenditure per Capita
BY: Health Expenditure per Capita data was reported at 450.214 USD in 2014. This records a decrease from the previous number of 465.167 USD for 2013. BY: Health Expenditure per Capita data is updated yearly, averaging 186.558 USD from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 465.167 USD in 2013 and a record low of 69.909 USD in 1995. BY: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.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 |
|---|---|---|
| 450.21 2014 | yearly | 1995 - 2014 |
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Belarus BY: Health Expenditure per Capita: PPP: 2011 Price
BY: Health Expenditure per Capita: PPP: 2011 Price data was reported at 1,030.992 Intl $ in 2014. This records a decrease from the previous number of 1,068.229 Intl $ for 2013. BY: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 614.302 Intl $ from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 1,068.229 Intl $ in 2013 and a record low of 252.721 Intl $ in 1996. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 1,030.99 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Health Expenditure per Capita: PPP: 2011 Price from 1995 to 2014 in the chart:
Belarus BY: Health Expenditure: Private: % of GDP
BY: Health Expenditure: Private: % of GDP data was reported at 1.946 % in 2014. This records a decrease from the previous number of 2.050 % for 2013. BY: Health Expenditure: Private: % of GDP data is updated yearly, averaging 1.794 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 2.190 % in 2009 and a record low of 1.142 % in 2012. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 1.95 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Belarus BY: Health Expenditure: Public: % of GDP
BY: Health Expenditure: Public: % of GDP data was reported at 3.742 % in 2014. This records a decrease from the previous number of 4.022 % for 2013. BY: Health Expenditure: Public: % of GDP data is updated yearly, averaging 4.575 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 5.427 % in 1997 and a record low of 3.473 % in 2011. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 3.74 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Belarus BY: Health Expenditure: Public: % of Government Expenditure
BY: Health Expenditure: Public: % of Government Expenditure data was reported at 13.795 % in 2014. This records a decrease from the previous number of 13.906 % for 2013. BY: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 10.381 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 13.906 % in 2013 and a record low of 7.875 % in 2008. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 13.79 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Belarus BY: Health Expenditure: Public: % of Total Health Expenditure
BY: Health Expenditure: Public: % of Total Health Expenditure data was reported at 65.787 % in 2014. This records a decrease from the previous number of 66.243 % for 2013. BY: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 72.243 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 82.325 % in 1997 and a record low of 64.017 % in 2009. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 65.79 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Belarus BY: Health Expenditure: Total: % of GDP
BY: Health Expenditure: Total: % of GDP data was reported at 5.688 % in 2014. This records a decrease from the previous number of 6.072 % for 2013. BY: Health Expenditure: Total: % of GDP data is updated yearly, averaging 6.200 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 6.886 % in 2005 and a record low of 4.924 % in 2011. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 5.69 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
Belarus BY: Improved Sanitation Facilities: % of Population with Access
BY: Improved Sanitation Facilities: % of Population with Access data was reported at 94.300 % in 2015. This stayed constant from the previous number of 94.300 % for 2014. BY: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 94.750 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 95.100 % in 1992 and a record low of 94.300 % in 2015. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 94.30 2015 | yearly | 1990 - 2015 |
View Belarus's Belarus BY: Improved Sanitation Facilities: % of Population with Access from 1990 to 2015 in the chart:
Belarus BY: Improved Sanitation Facilities: Rural: % of Rural Population with Access
BY: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 95.200 % in 2015. This records a decrease from the previous number of 95.300 % for 2014. BY: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 96.750 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 97.400 % in 1997 and a record low of 95.200 % in 2015. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 95.20 2015 | yearly | 1990 - 2015 |
View Belarus's Belarus BY: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Belarus BY: Improved Sanitation Facilities: Urban: % of Urban Population with Access
BY: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 94.100 % in 2015. This stayed constant from the previous number of 94.100 % for 2014. BY: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 93.900 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 94.100 % in 2015 and a record low of 93.900 % in 2004. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 94.10 2015 | yearly | 1990 - 2015 |
View Belarus's Belarus BY: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Belarus BY: Improved Water Source: % of Population with Access
BY: Improved Water Source: % of Population with Access data was reported at 99.700 % in 2015. This stayed constant from the previous number of 99.700 % for 2014. BY: Improved Water Source: % of Population with Access data is updated yearly, averaging 99.500 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 99.700 % in 2015 and a record low of 99.500 % in 2005. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 99.70 2015 | yearly | 1990 - 2015 |
View Belarus's Belarus BY: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Belarus BY: Improved Water Source: Rural: % of Rural Population with Access
BY: Improved Water Source: Rural: % of Rural Population with Access data was reported at 99.100 % in 2015. This stayed constant from the previous number of 99.100 % for 2014. BY: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 99.000 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 99.100 % in 2015 and a record low of 99.000 % in 2004. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 99.10 2015 | yearly | 1990 - 2015 |
View Belarus's Belarus BY: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Belarus BY: Improved Water Source: Urban: % of Urban Population with Access
BY: Improved Water Source: Urban: % of Urban Population with Access data was reported at 99.900 % in 2015. This stayed constant from the previous number of 99.900 % for 2014. BY: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 99.700 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 99.900 % in 2015 and a record low of 99.700 % in 2005. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 99.90 2015 | yearly | 1990 - 2015 |
View Belarus's Belarus BY: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Belarus BY: Incidence of HIV: % of Uninfected Population Aged 15-49
BY: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.050 % in 2017. This stayed constant from the previous number of 0.050 % for 2016. BY: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.010 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.050 % in 2017 and a record low of 0.010 % in 2004. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 0.040 2016 | yearly | 1990 - 2016 |
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Belarus BY: Intentional Homicides: Female: per 100,000 Female
BY: Intentional Homicides: Female: per 100,000 Female data was reported at 2.287 Ratio in 2014. This records an increase from the previous number of 2.031 Ratio for 2013. BY: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.584 Ratio from Dec 2007 (Median) to 2014, with 8 observations. The data reached an all-time high of 4.348 Ratio in 2007 and a record low of 2.031 Ratio in 2013. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 2.287 2014 | yearly | 2007 - 2014 |
View Belarus's Belarus BY: Intentional Homicides: Female: per 100,000 Female from 2007 to 2014 in the chart:
Belarus BY: Intentional Homicides: Male: per 100,000 Male
BY: Intentional Homicides: Male: per 100,000 Male data was reported at 5.078 Ratio in 2014. This records a decrease from the previous number of 5.218 Ratio for 2013. BY: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 5.918 Ratio from Dec 2007 (Median) to 2014, with 8 observations. The data reached an all-time high of 9.623 Ratio in 2007 and a record low of 4.861 Ratio in 2012. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 5.078 2014 | yearly | 2007 - 2014 |
View Belarus's Belarus BY: Intentional Homicides: Male: per 100,000 Male from 2007 to 2014 in the chart:
Belarus BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 40.000 NA in 2016. BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 40.000 NA from Dec 2016 (Median) to 2016, with 1 observations. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 40.000 2016 | yearly | 2016 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Belarus BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 94.000 NA in 2016. BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 94.000 NA from Dec 2016 (Median) to 2016, with 1 observations. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 94.000 2016 | yearly | 2016 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Belarus BY: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
BY: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 60.700 Ratio in 2016. BY: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 60.700 Ratio from Dec 2016 (Median) to 2016, with 1 observations. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 60.700 2016 | yearly | 2016 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Belarus BY: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
BY: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.100 Ratio in 2016. This stayed constant from the previous number of 1.100 Ratio for 2015. BY: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 1.700 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.600 Ratio in 2000 and a record low of 1.100 Ratio in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 1.100 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Belarus BY: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
BY: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 4.300 Ratio in 2016. This records a decrease from the previous number of 4.400 Ratio for 2015. BY: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 5.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 10.400 Ratio in 2000 and a record low of 4.300 Ratio in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 4.300 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Belarus BY: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
BY: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 2.600 Ratio in 2016. This records a decrease from the previous number of 2.700 Ratio for 2015. BY: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 3.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 6.300 Ratio in 2000 and a record low of 2.600 Ratio in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 2.600 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Belarus BY: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
BY: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.100 Ratio in 2016. BY: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.100 Ratio from Dec 2016 (Median) to 2016, with 1 observations. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 0.100 2016 | yearly | 2016 - 2016 |
View Belarus's Belarus BY: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Belarus BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 13.800 NA in 2016. This records a decrease from the previous number of 14.400 NA for 2015. BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 18.400 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.100 NA in 2000 and a record low of 13.800 NA in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 13.800 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Belarus BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 35.200 NA in 2016. This records a decrease from the previous number of 36.400 NA for 2015. BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 45.200 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 49.200 NA in 2005 and a record low of 35.200 NA in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 35.200 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Belarus BY: Newly Infected with HIV: Adults: Aged 15+
BY: Newly Infected with HIV: Adults: Aged 15+ data was reported at 1,900.000 Number in 2018. This records a decrease from the previous number of 2,100.000 Number for 2017. BY: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 1,100.000 Number from Dec 1990 (Median) to 2018, with 29 observations. The data reached an all-time high of 2,300.000 Number in 2015 and a record low of 100.000 Number in 1995. BY: 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 Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,900.000 2018 | yearly | 1990 - 2018 |
View Belarus's Belarus BY: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Belarus BY: Number of Deaths Ages 10-14 Years
BY: Number of Deaths Ages 10-14 Years data was reported at 62.000 Person in 2019. This records a decrease from the previous number of 64.000 Person for 2018. BY: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 150.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 282.000 Person in 1990 and a record low of 62.000 Person in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 62.000 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Belarus BY: Number of Deaths Ages 15-19 Years
BY: Number of Deaths Ages 15-19 Years data was reported at 127.000 Person in 2019. This records a decrease from the previous number of 135.000 Person for 2018. BY: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 538.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 671.000 Person in 1999 and a record low of 127.000 Person in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 127.000 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Belarus BY: Number of Deaths Ages 20-24 Years
BY: Number of Deaths Ages 20-24 Years data was reported at 214.000 Person in 2019. This records a decrease from the previous number of 256.000 Person for 2018. BY: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 994.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,223.000 Person in 2000 and a record low of 214.000 Person in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 214.000 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Belarus BY: Number of Deaths Ages 5-14 Years
BY: Number of Deaths Ages 5-14 Years data was reported at 133.000 Person in 2018. This records a decrease from the previous number of 149.000 Person for 2015. BY: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 182.000 Person from Dec 1990 (Median) to 2018, with 5 observations. The data reached an all-time high of 611.000 Person in 1990 and a record low of 133.000 Person in 2018. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 133.000 2018 | yearly | 1990 - 2018 |
View Belarus's Belarus BY: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Belarus BY: Number of Deaths Ages 5-9 Years
BY: Number of Deaths Ages 5-9 Years data was reported at 69.000 Person in 2019. This records a decrease from the previous number of 70.000 Person for 2018. BY: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 119.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 344.000 Person in 1990 and a record low of 69.000 Person in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 69.000 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Belarus BY: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
BY: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 93.623 % in 2014. This records an increase from the previous number of 90.916 % for 2013. BY: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 71.511 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 93.623 % in 2014 and a record low of 49.782 % in 1997. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 93.62 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Belarus BY: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
BY: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 32.032 % in 2014. This records an increase from the previous number of 30.691 % for 2013. BY: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 19.655 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 32.032 % in 2014 and a record low of 8.799 % in 1997. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 32.03 2014 | yearly | 1995 - 2014 |
View Belarus's Belarus BY: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
BY: Prevalence of Anemia among Children: % of Children Under 5
BY: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 25.400 % in 2016. This records an increase from the previous number of 24.800 % for 2015. BY: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 25.900 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 34.600 % in 1990 and a record low of 23.900 % in 2012. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 25.400 2016 | yearly | 1990 - 2016 |
View Belarus's BY: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Belarus BY: Probability of Dying at Age 10-14 Years: per 1000
BY: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 0.600 Ratio in 2019. This records a decrease from the previous number of 0.700 Ratio for 2018. BY: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 1.250 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.900 Ratio in 1991 and a record low of 0.600 Ratio in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 0.600 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Belarus BY: Probability of Dying at Age 15-19 Years: per 1000
BY: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 1.500 Ratio in 2019. This records a decrease from the previous number of 1.600 Ratio for 2018. BY: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 3.450 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4.600 Ratio in 1994 and a record low of 1.500 Ratio in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 1.500 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Belarus BY: Probability of Dying at Age 20-24 Years: per 1000
BY: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 2.300 Ratio in 2019. This records a decrease from the previous number of 2.600 Ratio for 2018. BY: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 6.950 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 8.600 Ratio in 1999 and a record low of 2.300 Ratio in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 2.300 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Belarus BY: Probability of Dying at Age 5-9 Years: per 1000
BY: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 0.600 Ratio in 2019. This stayed constant from the previous number of 0.600 Ratio for 2018. BY: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 1.300 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2.100 Ratio in 1991 and a record low of 0.600 Ratio in 2019. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 0.600 2019 | yearly | 1990 - 2019 |
View Belarus's Belarus BY: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Belarus BY: Smoking Prevalence: Females: % of Adults
BY: Smoking Prevalence: Females: % of Adults data was reported at 10.500 % in 2016. This records a decrease from the previous number of 10.600 % for 2015. BY: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 11.100 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 13.300 % in 2000 and a record low of 10.500 % in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 10.500 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Belarus BY: Smoking Prevalence: Males: % of Adults
BY: Smoking Prevalence: Males: % of Adults data was reported at 46.100 % in 2016. This records a decrease from the previous number of 47.000 % for 2015. BY: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 49.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 64.300 % in 2000 and a record low of 46.100 % in 2016. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 46.100 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Belarus BY: Smoking Prevalence: Total: % of Adults: Aged 15+
BY: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 26.700 % in 2016. This records a decrease from the previous number of 27.200 % for 2015. BY: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 28.800 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 36.700 % in 2000 and a record low of 26.700 % in 2016. BY: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.700 2016 | yearly | 2000 - 2016 |
View Belarus's Belarus BY: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Belarus BY: Suicide Mortality Rate: Female
BY: Suicide Mortality Rate: Female data was reported at 8.200 NA in 2016. This records a decrease from the previous number of 8.300 NA for 2015. BY: Suicide Mortality Rate: Female data is updated yearly, averaging 12.300 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.500 NA in 2005 and a record low of 8.200 NA in 2016. BY: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.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 |
|---|---|---|
| 8.200 2016 | yearly | 2000 - 2016 |
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Belarus BY: Suicide Mortality Rate: Male
BY: Suicide Mortality Rate: Male data was reported at 46.900 NA in 2016. This records a decrease from the previous number of 47.000 NA for 2015. BY: Suicide Mortality Rate: Male data is updated yearly, averaging 68.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 80.000 NA in 2005 and a record low of 46.900 NA in 2016. BY: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.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 |
|---|---|---|
| 46.900 2016 | yearly | 2000 - 2016 |
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BY: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
BY: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 4.100 % in 2012. BY: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 4.100 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 4.100 % in 2012 and a record low of 4.100 % in 2012. BY: 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 Belarus – Table BY.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 |
|---|---|---|
| 4.100 2012 | yearly | 2012 - 2012 |