Bangladesh Health Statistics
Bangladesh BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.000 NA in 2016. This stayed constant from the previous number of 0.000 NA for 2010. BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.000 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.000 NA in 2016 and a record low of 0.000 NA in 2016. BD: 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 Bangladesh – Table BD.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2016 | yearly | 2010 - 2016 |
View Bangladesh's Bangladesh BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Bangladesh BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 0.000 NA in 2016. This records a decrease from the previous number of 0.400 NA for 2010. BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 0.200 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.400 NA in 2010 and a record low of 0.000 NA in 2016. BD: 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 Bangladesh – Table BD.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2016 | yearly | 2010 - 2016 |
View Bangladesh's Bangladesh BD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
BD: Community Health Workers: per 1000 People
BD: Community Health Workers: per 1000 People data was reported at 0.476 Ratio in 2012. This records an increase from the previous number of 0.393 Ratio for 2011. BD: Community Health Workers: per 1000 People data is updated yearly, averaging 0.272 Ratio from Dec 2004 (Median) to 2012, with 4 observations. The data reached an all-time high of 0.476 Ratio in 2012 and a record low of 0.147 Ratio in 2005. BD: Community Health Workers: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Social: Health Statistics. Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.476 2012 | yearly | 2004 - 2012 |
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Bangladesh BD: Depth of the Food Deficit: Kilocalories per Person per Day
BD: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 116.000 kcal in 2016. This records a decrease from the previous number of 120.000 kcal for 2015. BD: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 124.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 279.000 kcal in 1996 and a record low of 114.000 kcal in 2007. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 116.000 2016 | yearly | 1992 - 2016 |
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Bangladesh BD: External Resources for Health: % of Total Expenditure on Health
BD: External Resources for Health: % of Total Expenditure on Health data was reported at 11.822 % in 2014. This records an increase from the previous number of 9.471 % for 2013. BD: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 7.880 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 11.822 % in 2014 and a record low of 3.171 % in 1996. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 11.82 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure per Capita
BD: Health Expenditure per Capita data was reported at 30.833 USD in 2014. This records an increase from the previous number of 28.159 USD for 2013. BD: Health Expenditure per Capita data is updated yearly, averaging 12.198 USD from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 30.833 USD in 2014 and a record low of 8.547 USD in 1997. BD: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.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 |
|---|---|---|
| 30.83 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure per Capita: PPP: 2011 Price
BD: Health Expenditure per Capita: PPP: 2011 Price data was reported at 88.076 Intl $ in 2014. This records an increase from the previous number of 84.681 Intl $ for 2013. BD: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 43.895 Intl $ from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 88.076 Intl $ in 2014 and a record low of 25.629 Intl $ in 1997. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 88.08 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure: Private: % of GDP
BD: Health Expenditure: Private: % of GDP data was reported at 2.032 % in 2014. This records a decrease from the previous number of 2.073 % for 2013. BD: Health Expenditure: Private: % of GDP data is updated yearly, averaging 1.784 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 2.115 % in 2011 and a record low of 1.282 % in 1997. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 2.03 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure: Public: % of GDP
BD: Health Expenditure: Public: % of GDP data was reported at 0.787 % in 2014. This records a decrease from the previous number of 0.810 % for 2013. BD: Health Expenditure: Public: % of GDP data is updated yearly, averaging 0.986 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 1.200 % in 1995 and a record low of 0.787 % in 2014. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 0.79 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure: Public: % of Government Expenditure
BD: Health Expenditure: Public: % of Government Expenditure data was reported at 5.655 % in 2014. This records an increase from the previous number of 5.546 % for 2013. BD: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 8.061 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 9.017 % in 1999 and a record low of 5.546 % in 2013. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 5.66 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure: Public: % of Total Health Expenditure
BD: Health Expenditure: Public: % of Total Health Expenditure data was reported at 27.901 % in 2014. This records a decrease from the previous number of 28.108 % for 2013. BD: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 36.631 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 43.022 % in 1997 and a record low of 27.901 % in 2014. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 27.90 2014 | yearly | 1995 - 2014 |
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Bangladesh BD: Health Expenditure: Total: % of GDP
BD: Health Expenditure: Total: % of GDP data was reported at 2.819 % in 2014. This records a decrease from the previous number of 2.883 % for 2013. BD: Health Expenditure: Total: % of GDP data is updated yearly, averaging 2.798 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 3.222 % in 1995 and a record low of 2.250 % in 1997. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 2.82 2014 | yearly | 1995 - 2014 |
View Bangladesh's Bangladesh BD: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
Bangladesh BD: Improved Sanitation Facilities: % of Population with Access
BD: Improved Sanitation Facilities: % of Population with Access data was reported at 60.600 % in 2015. This records an increase from the previous number of 59.600 % for 2014. BD: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 48.100 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 60.600 % in 2015 and a record low of 34.400 % in 1990. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 60.60 2015 | yearly | 1990 - 2015 |
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Bangladesh BD: Improved Sanitation Facilities: Rural: % of Rural Population with Access
BD: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 62.100 % in 2015. This records an increase from the previous number of 60.800 % for 2014. BD: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 46.700 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 62.100 % in 2015 and a record low of 31.400 % in 1990. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 62.10 2015 | yearly | 1990 - 2015 |
View Bangladesh's Bangladesh BD: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Bangladesh BD: Improved Sanitation Facilities: Urban: % of Urban Population with Access
BD: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 57.700 % in 2015. This records an increase from the previous number of 57.200 % for 2014. BD: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 52.200 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 57.700 % in 2015 and a record low of 46.700 % in 1990. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 57.70 2015 | yearly | 1990 - 2015 |
View Bangladesh's Bangladesh BD: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Bangladesh BD: Improved Water Source: % of Population with Access
BD: Improved Water Source: % of Population with Access data was reported at 86.900 % in 2015. This records an increase from the previous number of 86.200 % for 2014. BD: Improved Water Source: % of Population with Access data is updated yearly, averaging 77.900 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 86.900 % in 2015 and a record low of 68.100 % in 1990. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 86.90 2015 | yearly | 1990 - 2015 |
View Bangladesh's Bangladesh BD: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Bangladesh BD: Improved Water Source: Rural: % of Rural Population with Access
BD: Improved Water Source: Rural: % of Rural Population with Access data was reported at 87.000 % in 2015. This records an increase from the previous number of 86.100 % for 2014. BD: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 75.950 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 87.000 % in 2015 and a record low of 64.800 % in 1990. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 87.00 2015 | yearly | 1990 - 2015 |
View Bangladesh's Bangladesh BD: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Bangladesh BD: Improved Water Source: Urban: % of Urban Population with Access
BD: Improved Water Source: Urban: % of Urban Population with Access data was reported at 86.500 % in 2015. This records an increase from the previous number of 86.300 % for 2014. BD: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 83.800 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 86.500 % in 2015 and a record low of 81.100 % in 1990. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 86.50 2015 | yearly | 1990 - 2015 |
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Bangladesh BD: Incidence of HIV: % of Uninfected Population Aged 15-49
BD: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.010 % in 2017. This stayed constant from the previous number of 0.010 % for 2016. BD: 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 0.010 % in 2017 and a record low of 0.010 % in 2017. BD: 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 Bangladesh – Table BD.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.010 2016 | yearly | 1990 - 2016 |
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Bangladesh BD: Intentional Homicides: Female: per 100,000 Female
BD: Intentional Homicides: Female: per 100,000 Female data was reported at 1.046 Ratio in 2015. BD: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 1.046 Ratio from Dec 2015 (Median) to 2015, with 1 observations. BD: 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 Bangladesh – Table BD.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.046 2015 | yearly | 2015 - 2015 |
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Bangladesh BD: Intentional Homicides: Male: per 100,000 Male
BD: Intentional Homicides: Male: per 100,000 Male data was reported at 3.933 Ratio in 2015. BD: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 3.933 Ratio from Dec 2015 (Median) to 2015, with 1 observations. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 3.933 2015 | yearly | 2015 - 2015 |
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Bangladesh BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 137.000 NA in 2016. BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 137.000 NA from Dec 2016 (Median) to 2016, with 1 observations. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 137.000 2016 | yearly | 2016 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Bangladesh BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 161.000 NA in 2016. BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 161.000 NA from Dec 2016 (Median) to 2016, with 1 observations. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 161.000 2016 | yearly | 2016 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Bangladesh BD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
BD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 149.000 Ratio in 2016. BD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 149.000 Ratio from Dec 2016 (Median) to 2016, with 1 observations. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 149.000 2016 | yearly | 2016 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Bangladesh BD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
BD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.200 Ratio in 2016. This stayed constant from the previous number of 0.200 Ratio for 2015. BD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.200 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.300 Ratio in 2010 and a record low of 0.200 Ratio in 2016. BD: 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 Bangladesh – Table BD.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.200 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Bangladesh BD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
BD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.300 Ratio in 2016. This records a decrease from the previous number of 0.400 Ratio for 2015. BD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.600 Ratio in 2010 and a record low of 0.300 Ratio in 2016. BD: 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 Bangladesh – Table BD.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.300 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Bangladesh BD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
BD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.300 Ratio in 2016. This stayed constant from the previous number of 0.300 Ratio for 2015. BD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.400 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.500 Ratio in 2010 and a record low of 0.300 Ratio in 2016. BD: 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 Bangladesh – Table BD.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.300 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Bangladesh BD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
BD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 11.900 Ratio in 2016. BD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 11.900 Ratio from Dec 2016 (Median) to 2016, with 1 observations. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 11.900 2016 | yearly | 2016 - 2016 |
View Bangladesh's Bangladesh BD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Bangladesh BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 20.400 NA in 2016. This records a decrease from the previous number of 20.700 NA for 2015. BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 21.900 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.100 NA in 2000 and a record low of 20.400 NA in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 20.400 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Bangladesh BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 22.600 NA in 2016. This records a decrease from the previous number of 22.700 NA for 2015. BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 22.400 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.700 NA in 2015 and a record low of 19.700 NA in 2000. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 22.600 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Bangladesh BD: Newly Infected with HIV: Adults: Aged 15+
BD: Newly Infected with HIV: Adults: Aged 15+ data was reported at 1,500.000 Number in 2018. This records an increase from the previous number of 1,400.000 Number for 2017. BD: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 830.000 Number from Dec 1990 (Median) to 2018, with 29 observations. The data reached an all-time high of 1,500.000 Number in 2018 and a record low of 100.000 Number in 1996. BD: 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 Bangladesh – Table BD.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,500.000 2018 | yearly | 1990 - 2018 |
View Bangladesh's Bangladesh BD: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Bangladesh BD: Number of Deaths Ages 10-14 Years
BD: Number of Deaths Ages 10-14 Years data was reported at 10,063.000 Person in 2019. This records an increase from the previous number of 9,629.000 Person for 2018. BD: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 13,323.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 30,260.000 Person in 1991 and a record low of 8,921.000 Person in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 10,063.000 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Bangladesh BD: Number of Deaths Ages 15-19 Years
BD: Number of Deaths Ages 15-19 Years data was reported at 20,267.000 Person in 2019. This records a decrease from the previous number of 20,585.000 Person for 2018. BD: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 17,125.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 32,825.000 Person in 1991 and a record low of 14,226.000 Person in 2001. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 20,267.000 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Bangladesh BD: Number of Deaths Ages 20-24 Years
BD: Number of Deaths Ages 20-24 Years data was reported at 16,037.000 Person in 2019. This records a decrease from the previous number of 16,113.000 Person for 2018. BD: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 18,127.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 37,515.000 Person in 1991 and a record low of 16,037.000 Person in 2019. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 16,037.000 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Bangladesh BD: Number of Deaths Ages 5-14 Years
BD: Number of Deaths Ages 5-14 Years data was reported at 12,432.000 Person in 2018. This records a decrease from the previous number of 17,184.000 Person for 2015. BD: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 30,556.000 Person from Dec 1990 (Median) to 2018, with 5 observations. The data reached an all-time high of 72,695.000 Person in 1990 and a record low of 12,432.000 Person in 2018. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 12,432.000 2018 | yearly | 1990 - 2018 |
View Bangladesh's Bangladesh BD: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Bangladesh BD: Number of Deaths Ages 5-9 Years
BD: Number of Deaths Ages 5-9 Years data was reported at 10,587.000 Person in 2019. This records an increase from the previous number of 10,271.000 Person for 2018. BD: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 20,234.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 57,275.000 Person in 1991 and a record low of 9,849.000 Person in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 10,587.000 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
BD: Number of Surgical Procedures: per 100,000 population
BD: Number of Surgical Procedures: per 100,000 population data was reported at 162.000 Number in 2011. BD: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 162.000 Number from Dec 2011 (Median) to 2011, with 1 observations. The data reached an all-time high of 162.000 Number in 2011 and a record low of 162.000 Number in 2011. BD: Number of Surgical Procedures: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Social: Health Statistics. The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.;Data from various sources compiled by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org) and the Center for Health Equity in Surgery and Anesthesia at UCSF Medical Center.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 161.000 2011 | yearly | 2011 - 2011 |
View Bangladesh's BD: Number of Surgical Procedures: per 100,000 population from 2011 to 2011 in the chart:
Bangladesh BD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
BD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 92.894 % in 2014. This records a decrease from the previous number of 92.978 % for 2013. BD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 95.198 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 98.145 % in 1997 and a record low of 90.705 % in 2008. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 92.89 2014 | yearly | 1995 - 2014 |
View Bangladesh's Bangladesh BD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Bangladesh BD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
BD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 66.976 % in 2014. This records an increase from the previous number of 66.844 % for 2013. BD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 60.040 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 66.976 % in 2014 and a record low of 55.921 % in 1997. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 66.98 2014 | yearly | 1995 - 2014 |
View Bangladesh's Bangladesh BD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
BD: Prevalence of Anemia among Children: % of Children Under 5
BD: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 40.300 % in 2016. This records a decrease from the previous number of 41.200 % for 2015. BD: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 58.200 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 72.500 % in 1990 and a record low of 40.300 % in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 40.300 2016 | yearly | 1990 - 2016 |
View Bangladesh's BD: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Bangladesh BD: Probability of Dying at Age 10-14 Years: per 1000
BD: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 3.300 Ratio in 2019. This records an increase from the previous number of 3.100 Ratio for 2018. BD: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 4.250 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 11.300 Ratio in 1991 and a record low of 2.800 Ratio in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 3.300 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Bangladesh BD: Probability of Dying at Age 15-19 Years: per 1000
BD: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 6.500 Ratio in 2019. This stayed constant from the previous number of 6.500 Ratio for 2018. BD: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 5.750 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 14.200 Ratio in 1991 and a record low of 4.900 Ratio in 2012. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 6.500 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Bangladesh BD: Probability of Dying at Age 20-24 Years: per 1000
BD: 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. BD: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 6.600 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 18.100 Ratio in 1991 and a record low of 5.300 Ratio in 2019. BD: 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 Bangladesh – Table BD.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 Bangladesh's Bangladesh BD: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Bangladesh BD: Probability of Dying at Age 5-9 Years: per 1000
BD: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 3.600 Ratio in 2019. This records an increase from the previous number of 3.500 Ratio for 2018. BD: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 6.300 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 19.200 Ratio in 1991 and a record low of 3.300 Ratio in 2017. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 3.600 2019 | yearly | 1990 - 2019 |
View Bangladesh's Bangladesh BD: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Bangladesh BD: Smoking Prevalence: Females: % of Adults
BD: Smoking Prevalence: Females: % of Adults data was reported at 1.000 % in 2016. This records a decrease from the previous number of 1.100 % for 2015. BD: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 1.500 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 5.900 % in 2000 and a record low of 1.000 % in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 1.000 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Bangladesh BD: Smoking Prevalence: Males: % of Adults
BD: Smoking Prevalence: Males: % of Adults data was reported at 44.700 % in 2016. This records a decrease from the previous number of 45.100 % for 2015. BD: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 47.000 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 55.900 % in 2000 and a record low of 44.700 % in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 44.700 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Bangladesh BD: Smoking Prevalence: Total: % of Adults: Aged 15+
BD: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 23.000 % in 2016. This records a decrease from the previous number of 23.200 % for 2015. BD: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 24.400 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 31.400 % in 2000 and a record low of 23.000 % in 2016. BD: 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 Bangladesh – Table BD.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 |
|---|---|---|
| 23.000 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Bangladesh BD: Suicide Mortality Rate: Female
BD: Suicide Mortality Rate: Female data was reported at 7.000 NA in 2016. This records a decrease from the previous number of 7.400 NA for 2015. BD: Suicide Mortality Rate: Female data is updated yearly, averaging 7.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 8.500 NA in 2010 and a record low of 7.000 NA in 2016. BD: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.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 |
|---|---|---|
| 7.000 2016 | yearly | 2000 - 2016 |
View Bangladesh's Bangladesh BD: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Bangladesh BD: Suicide Mortality Rate: Male
BD: Suicide Mortality Rate: Male data was reported at 4.700 NA in 2016. This stayed constant from the previous number of 4.700 NA for 2015. BD: Suicide Mortality Rate: Male data is updated yearly, averaging 4.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 5.700 NA in 2000 and a record low of 4.300 NA in 2010. BD: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.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 |
|---|---|---|
| 4.700 2016 | yearly | 2000 - 2016 |