Benin Health Statistics
Benin BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.800 NA in 2016. This records an increase from the previous number of 0.700 NA for 2010. BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.750 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 0.800 NA in 2016 and a record low of 0.700 NA in 2010. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 0.800 2016 | yearly | 2010 - 2016 |
View Benin's Benin BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Benin BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 5.300 NA in 2016. This records an increase from the previous number of 4.100 NA for 2010. BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 4.700 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 5.300 NA in 2016 and a record low of 4.100 NA in 2010. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 5.300 2016 | yearly | 2010 - 2016 |
View Benin's Benin BJ: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Benin BJ: Depth of the Food Deficit: Kilocalories per Person per Day
BJ: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 48.000 kcal in 2016. This records a decrease from the previous number of 52.000 kcal for 2015. BJ: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 121.000 kcal from Dec 1992 to 2016, with 25 observations. The data reached an all-time high of 193.000 kcal in 1994 and a record low of 48.000 kcal in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 48.000 2016 | yearly | 1992 - 2016 |
View Benin's Benin BJ: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Benin BJ: External Resources for Health: % of Total Expenditure on Health
BJ: External Resources for Health: % of Total Expenditure on Health data was reported at 25.792 % in 2014. This records an increase from the previous number of 23.190 % for 2013. BJ: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 19.301 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 29.740 % in 2011 and a record low of 12.000 % in 1996. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 25.79 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: External Resources for Health: % of Total Expenditure on Health from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure per Capita
BJ: Health Expenditure per Capita data was reported at 37.889 USD in 2014. This records an increase from the previous number of 36.956 USD for 2013. BJ: Health Expenditure per Capita data is updated yearly, averaging 24.269 USD from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 40.020 USD in 2011 and a record low of 14.729 USD in 2000. BJ: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.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 |
|---|---|---|
| 37.89 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure per Capita from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure per Capita: PPP: 2011 Price
BJ: Health Expenditure per Capita: PPP: 2011 Price data was reported at 85.608 Intl $ in 2014. This records an increase from the previous number of 82.241 Intl $ for 2013. BJ: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 64.468 Intl $ from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 88.229 Intl $ in 2011 and a record low of 47.247 Intl $ in 1997. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 85.61 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure per Capita: PPP: 2011 Price from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure: Private: % of GDP
BJ: Health Expenditure: Private: % of GDP data was reported at 2.343 % in 2014. This records a decrease from the previous number of 2.377 % for 2013. BJ: Health Expenditure: Private: % of GDP data is updated yearly, averaging 2.386 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 2.703 % in 2012 and a record low of 2.058 % in 2008. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 2.34 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure: Public: % of GDP
BJ: Health Expenditure: Public: % of GDP data was reported at 2.251 % in 2014. This records an increase from the previous number of 2.215 % for 2013. BJ: Health Expenditure: Public: % of GDP data is updated yearly, averaging 2.193 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 2.929 % in 2011 and a record low of 1.814 % in 1997. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.25 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure: Public: % of Government Expenditure
BJ: Health Expenditure: Public: % of Government Expenditure data was reported at 9.551 % in 2014. This stayed constant from the previous number of 9.551 % for 2013. BJ: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 10.583 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 13.350 % in 2011 and a record low of 8.949 % in 2009. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 9.55 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure: Public: % of Total Health Expenditure
BJ: Health Expenditure: Public: % of Total Health Expenditure data was reported at 49.000 % in 2014. This records an increase from the previous number of 48.245 % for 2013. BJ: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 47.999 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 54.557 % in 2011 and a record low of 42.080 % in 1997. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 49.00 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Benin BJ: Health Expenditure: Total: % of GDP
BJ: Health Expenditure: Total: % of GDP data was reported at 4.594 % in 2014. This records an increase from the previous number of 4.592 % for 2013. BJ: Health Expenditure: Total: % of GDP data is updated yearly, averaging 4.589 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 5.369 % in 2011 and a record low of 4.196 % in 2008. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 4.59 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
Benin BJ: Hospital Beds: per 1000 People
BJ: Hospital Beds: per 1000 People data was reported at 0.500 Number in 2010. This stayed constant from the previous number of 0.500 Number for 2005. BJ: Hospital Beds: per 1000 People data is updated yearly, averaging 0.500 Number from Dec 1960 to 2010, with 12 observations. The data reached an all-time high of 1.465 Number in 1980 and a record low of 0.223 Number in 1992. BJ: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.;Data are from the World Health Organization, supplemented by country data.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.500 2010 | yearly | 1960 - 2010 |
View Benin's Benin BJ: Hospital Beds: per 1000 People from 1960 to 2010 in the chart:
Benin BJ: Improved Sanitation Facilities: % of Population with Access
BJ: Improved Sanitation Facilities: % of Population with Access data was reported at 19.700 % in 2015. This records an increase from the previous number of 19.600 % for 2014. BJ: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 13.150 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 19.700 % in 2015 and a record low of 6.800 % in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 19.70 2015 | yearly | 1990 - 2015 |
View Benin's Benin BJ: Improved Sanitation Facilities: % of Population with Access from 1990 to 2015 in the chart:
Benin BJ: Improved Sanitation Facilities: Rural: % of Rural Population with Access
BJ: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 7.300 % in 2015. This stayed constant from the previous number of 7.300 % for 2014. BJ: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 4.250 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 7.300 % in 2015 and a record low of 0.900 % in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 7.30 2015 | yearly | 1990 - 2015 |
View Benin's Benin BJ: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Benin BJ: Improved Sanitation Facilities: Urban: % of Urban Population with Access
BJ: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 35.600 % in 2015. This stayed constant from the previous number of 35.600 % for 2014. BJ: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 27.100 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 35.600 % in 2015 and a record low of 17.900 % in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 35.60 2015 | yearly | 1990 - 2015 |
View Benin's Benin BJ: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Benin BJ: Improved Water Source: % of Population with Access
BJ: Improved Water Source: % of Population with Access data was reported at 77.900 % in 2015. This records an increase from the previous number of 77.800 % for 2014. BJ: Improved Water Source: % of Population with Access data is updated yearly, averaging 68.150 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 77.900 % in 2015 and a record low of 57.100 % in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 77.90 2015 | yearly | 1990 - 2015 |
View Benin's Benin BJ: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Benin BJ: Improved Water Source: Rural: % of Rural Population with Access
BJ: Improved Water Source: Rural: % of Rural Population with Access data was reported at 72.100 % in 2015. This stayed constant from the previous number of 72.100 % for 2014. BJ: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 61.000 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 72.100 % in 2015 and a record low of 48.800 % in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 72.10 2015 | yearly | 1990 - 2015 |
View Benin's Benin BJ: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Benin BJ: Improved Water Source: Urban: % of Urban Population with Access
BJ: Improved Water Source: Urban: % of Urban Population with Access data was reported at 85.200 % in 2015. This stayed constant from the previous number of 85.200 % for 2014. BJ: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 79.350 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 85.200 % in 2015 and a record low of 72.900 % in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 85.20 2015 | yearly | 1990 - 2015 |
View Benin's Benin BJ: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Benin BJ: Incidence of HIV: % of Uninfected Population Aged 15-49
BJ: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.060 % in 2017. This stayed constant from the previous number of 0.060 % for 2016. BJ: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.095 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 0.220 % in 1996 and a record low of 0.060 % in 2017. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 0.060 2016 | yearly | 1990 - 2016 |
View Benin's Benin BJ: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Benin BJ: Intentional Homicides: Female: per 100,000 Female
BJ: Intentional Homicides: Female: per 100,000 Female data was reported at 2.392 Ratio in 2015. BJ: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.392 Ratio from Dec 2015 to 2015, with 1 observations. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 2.392 2015 | yearly | 2015 - 2015 |
View Benin's Benin BJ: Intentional Homicides: Female: per 100,000 Female from 2015 to 2015 in the chart:
Benin BJ: Intentional Homicides: Male: per 100,000 Male
BJ: Intentional Homicides: Male: per 100,000 Male data was reported at 9.999 Ratio in 2015. BJ: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 9.999 Ratio from Dec 2015 to 2015, with 1 observations. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 9.999 2015 | yearly | 2015 - 2015 |
View Benin's Benin BJ: Intentional Homicides: Male: per 100,000 Male from 2015 to 2015 in the chart:
Benin BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 193.000 NA in 2016. BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 193.000 NA from Dec 2016 to 2016, with 1 observations. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 193.000 2016 | yearly | 2016 - 2016 |
View Benin's Benin BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Benin BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 219.000 NA in 2016. BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 219.000 NA from Dec 2016 to 2016, with 1 observations. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 219.000 2016 | yearly | 2016 - 2016 |
View Benin's Benin BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Benin BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 205.000 Ratio in 2016. BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 205.000 Ratio from Dec 2016 to 2016, with 1 observations. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 205.000 2016 | yearly | 2016 - 2016 |
View Benin's Benin BJ: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Benin BJ: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
BJ: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 2.700 Ratio in 2016. This records a decrease from the previous number of 2.800 Ratio for 2015. BJ: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 2.700 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 2.800 Ratio in 2015 and a record low of 2.500 Ratio in 2005. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 2.700 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Benin BJ: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
BJ: 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. BJ: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 4.400 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 4.600 Ratio in 2000 and a record low of 4.200 Ratio in 2005. BJ: 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 Benin – Table BJ.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 Benin's Benin BJ: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Benin BJ: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
BJ: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 3.500 Ratio in 2016. This records a decrease from the previous number of 3.600 Ratio for 2015. BJ: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 3.600 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 3.600 Ratio in 2015 and a record low of 3.300 Ratio in 2005. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 3.500 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Benin BJ: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
BJ: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 59.700 Ratio in 2016. BJ: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 59.700 Ratio from Dec 2016 to 2016, with 1 observations. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 59.700 2016 | yearly | 2016 - 2016 |
View Benin's Benin BJ: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Benin BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 19.300 NA in 2016. This records a decrease from the previous number of 19.400 NA for 2015. BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 19.400 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 19.800 NA in 2005 and a record low of 19.300 NA in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 19.300 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Benin BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 19.900 NA in 2016. This records a decrease from the previous number of 20.000 NA for 2015. BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 20.100 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 20.800 NA in 2000 and a record low of 19.900 NA in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 19.900 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Benin BJ: Newly Infected with HIV: Adults: Aged 15+
BJ: Newly Infected with HIV: Adults: Aged 15+ data was reported at 3,300.000 Number in 2018. This stayed constant from the previous number of 3,300.000 Number for 2017. BJ: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 3,800.000 Number from Dec 1990 to 2018, with 29 observations. The data reached an all-time high of 5,800.000 Number in 1995 and a record low of 1,600.000 Number in 1990. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 3,300.000 2018 | yearly | 1990 - 2018 |
View Benin's Benin BJ: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Benin BJ: Number of Deaths Ages 10-14 Years
BJ: Number of Deaths Ages 10-14 Years data was reported at 2,083.000 Person in 2019. This records an increase from the previous number of 2,078.000 Person for 2018. BJ: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 1,898.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 2,083.000 Person in 2019 and a record low of 1,571.000 Person in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 2,083.000 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Benin BJ: Number of Deaths Ages 15-19 Years
BJ: Number of Deaths Ages 15-19 Years data was reported at 2,827.000 Person in 2019. This records an increase from the previous number of 2,785.000 Person for 2018. BJ: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 1,556.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 2,827.000 Person in 2019 and a record low of 1,452.000 Person in 1992. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 2,827.000 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Benin BJ: Number of Deaths Ages 20-24 Years
BJ: Number of Deaths Ages 20-24 Years data was reported at 2,434.000 Person in 2019. This records an increase from the previous number of 2,389.000 Person for 2018. BJ: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 1,612.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 2,434.000 Person in 2019 and a record low of 1,262.000 Person in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 2,434.000 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Benin BJ: Number of Deaths Ages 5-14 Years
BJ: Number of Deaths Ages 5-14 Years data was reported at 6,848.000 Person in 2018. This records a decrease from the previous number of 6,881.000 Person for 2015. BJ: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 6,848.000 Person from Dec 1990 to 2018, with 5 observations. The data reached an all-time high of 6,881.000 Person in 2015 and a record low of 6,542.000 Person in 1990. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 6,848.000 2018 | yearly | 1990 - 2018 |
View Benin's Benin BJ: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Benin BJ: Number of Deaths Ages 5-9 Years
BJ: Number of Deaths Ages 5-9 Years data was reported at 4,176.000 Person in 2019. This records a decrease from the previous number of 4,222.000 Person for 2018. BJ: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 4,417.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 4,447.000 Person in 1993 and a record low of 4,176.000 Person in 2019. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 4,176.000 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Benin BJ: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
BJ: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 76.666 % in 2014. This records a decrease from the previous number of 76.668 % for 2013. BJ: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 97.197 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 99.893 % in 1995 and a record low of 69.803 % in 2012. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 76.67 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Benin BJ: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
BJ: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 39.100 % in 2014. This records a decrease from the previous number of 39.679 % for 2013. BJ: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 49.206 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 57.856 % in 1997 and a record low of 35.877 % in 2011. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 39.10 2014 | yearly | 1995 - 2014 |
View Benin's Benin BJ: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
BJ: Prevalence of Anemia among Children: % of Children Under 5
BJ: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 62.100 % in 2016. This records a decrease from the previous number of 63.400 % for 2015. BJ: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 80.000 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 83.800 % in 1993 and a record low of 62.100 % in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 62.100 2016 | yearly | 1990 - 2016 |
View Benin's BJ: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Benin BJ: Probability of Dying at Age 10-14 Years: per 1000
BJ: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 7.200 Ratio in 2019. This records a decrease from the previous number of 7.300 Ratio for 2018. BJ: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 9.550 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 12.600 Ratio in 1990 and a record low of 7.200 Ratio in 2019. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 7.200 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Benin BJ: Probability of Dying at Age 15-19 Years: per 1000
BJ: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 11.200 Ratio in 2019. This records a decrease from the previous number of 11.300 Ratio for 2018. BJ: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 10.500 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 14.200 Ratio in 1990 and a record low of 9.100 Ratio in 2008. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 11.200 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Benin BJ: Probability of Dying at Age 20-24 Years: per 1000
BJ: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 11.200 Ratio in 2019. This records a decrease from the previous number of 11.300 Ratio for 2018. BJ: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 11.450 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 14.700 Ratio in 1990 and a record low of 11.200 Ratio in 2019. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 11.200 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Benin BJ: Probability of Dying at Age 5-9 Years: per 1000
BJ: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 12.500 Ratio in 2019. This records a decrease from the previous number of 12.900 Ratio for 2018. BJ: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 19.000 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 29.500 Ratio in 1990 and a record low of 12.500 Ratio in 2019. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 12.500 2019 | yearly | 1990 - 2019 |
View Benin's Benin BJ: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Benin BJ: Smoking Prevalence: Females: % of Adults
BJ: Smoking Prevalence: Females: % of Adults data was reported at 0.600 % in 2016. This records a decrease from the previous number of 0.700 % for 2015. BJ: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 0.900 % from Dec 2000 to 2016, with 9 observations. The data reached an all-time high of 2.100 % in 2000 and a record low of 0.600 % in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 0.600 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Benin BJ: Smoking Prevalence: Males: % of Adults
BJ: Smoking Prevalence: Males: % of Adults data was reported at 12.300 % in 2016. This records a decrease from the previous number of 12.500 % for 2015. BJ: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 13.100 % from Dec 2000 to 2016, with 9 observations. The data reached an all-time high of 16.500 % in 2000 and a record low of 12.300 % in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 12.300 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Benin BJ: Smoking Prevalence: Total: % of Adults: Aged 15+
BJ: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 6.400 % in 2016. This records a decrease from the previous number of 6.500 % for 2015. BJ: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 6.900 % from Dec 2000 to 2016, with 9 observations. The data reached an all-time high of 9.100 % in 2000 and a record low of 6.400 % in 2016. BJ: 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 Benin – Table BJ.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 |
|---|---|---|
| 6.400 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Benin BJ: Suicide Mortality Rate: Female
BJ: Suicide Mortality Rate: Female data was reported at 5.900 NA in 2016. This records a decrease from the previous number of 6.000 NA for 2015. BJ: Suicide Mortality Rate: Female data is updated yearly, averaging 6.000 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 6.100 NA in 2005 and a record low of 5.900 NA in 2016. BJ: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.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 |
|---|---|---|
| 5.900 2016 | yearly | 2000 - 2016 |
View Benin's Benin BJ: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Benin BJ: Suicide Mortality Rate: Male
BJ: Suicide Mortality Rate: Male data was reported at 13.900 NA in 2016. This stayed constant from the previous number of 13.900 NA for 2015. BJ: Suicide Mortality Rate: Male data is updated yearly, averaging 13.500 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 13.900 NA in 2016 and a record low of 13.200 NA in 2000. BJ: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.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 |
|---|---|---|
| 13.900 2016 | yearly | 2000 - 2016 |