Chad Health Statistics
Chad TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.400 NA in 2016. This records a decrease from the previous number of 1.500 NA for 2010. TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.950 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 1.500 NA in 2010 and a record low of 0.400 NA in 2016. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 0.400 2016 | yearly | 2010 - 2016 |
View Chad's Chad TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Chad TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 2.700 NA in 2016. This records a decrease from the previous number of 8.300 NA for 2010. TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 5.500 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 8.300 NA in 2010 and a record low of 2.700 NA in 2016. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 2.700 2016 | yearly | 2010 - 2016 |
View Chad's Chad TD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day
TD: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 261.000 kcal in 2016. This records a decrease from the previous number of 276.000 kcal for 2015. TD: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 305.000 kcal from Dec 1992 to 2016, with 25 observations. The data reached an all-time high of 470.000 kcal in 1992 and a record low of 261.000 kcal in 2016. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 261.000 2016 | yearly | 1992 - 2016 |
View Chad's Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Chad TD: External Resources for Health: % of Total Expenditure on Health
TD: External Resources for Health: % of Total Expenditure on Health data was reported at 19.434 % in 2014. This records an increase from the previous number of 9.399 % for 2013. TD: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 15.211 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 24.915 % in 2001 and a record low of 8.452 % in 2008. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 19.43 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: External Resources for Health: % of Total Expenditure on Health from 1995 to 2014 in the chart:
Chad TD: Health Expenditure per Capita
TD: Health Expenditure per Capita data was reported at 37.105 USD in 2014. This records an increase from the previous number of 33.665 USD for 2013. TD: Health Expenditure per Capita data is updated yearly, averaging 24.734 USD from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 37.105 USD in 2014 and a record low of 10.420 USD in 2000. TD: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.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 |
|---|---|---|
| 37.10 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure per Capita from 1995 to 2014 in the chart:
Chad TD: Health Expenditure per Capita: PPP: 2011 Price
TD: Health Expenditure per Capita: PPP: 2011 Price data was reported at 79.015 Intl $ in 2014. This records an increase from the previous number of 70.797 Intl $ for 2013. TD: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 55.231 Intl $ from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 79.015 Intl $ in 2014 and a record low of 41.312 Intl $ in 1996. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 79.02 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure per Capita: PPP: 2011 Price from 1995 to 2014 in the chart:
Chad TD: Health Expenditure: Private: % of GDP
TD: Health Expenditure: Private: % of GDP data was reported at 1.642 % in 2014. This records a decrease from the previous number of 1.643 % for 2013. TD: Health Expenditure: Private: % of GDP data is updated yearly, averaging 2.787 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 5.641 % in 2002 and a record low of 1.578 % in 2012. TD: 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 Chad – Table TD.World Bank.WDI: Social: Health Statistics. Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.64 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Chad TD: Health Expenditure: Public: % of GDP
TD: Health Expenditure: Public: % of GDP data was reported at 1.979 % in 2014. This records an increase from the previous number of 1.775 % for 2013. TD: Health Expenditure: Public: % of GDP data is updated yearly, averaging 1.868 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 2.692 % in 2002 and a record low of 0.997 % in 2008. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 1.98 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Chad TD: Health Expenditure: Public: % of Government Expenditure
TD: Health Expenditure: Public: % of Government Expenditure data was reported at 8.967 % in 2014. This records an increase from the previous number of 7.758 % for 2013. TD: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 10.441 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 15.924 % in 2004 and a record low of 4.855 % in 2010. TD: 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 Chad – Table TD.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.97 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Chad TD: Health Expenditure: Public: % of Total Health Expenditure
TD: Health Expenditure: Public: % of Total Health Expenditure data was reported at 54.650 % in 2014. This records an increase from the previous number of 51.930 % for 2013. TD: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 38.370 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 54.650 % in 2014 and a record low of 30.664 % in 1998. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 54.65 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Chad TD: Health Expenditure: Total: % of GDP
TD: Health Expenditure: Total: % of GDP data was reported at 3.621 % in 2014. This records an increase from the previous number of 3.417 % for 2013. TD: Health Expenditure: Total: % of GDP data is updated yearly, averaging 4.660 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 8.332 % in 2002 and a record low of 2.916 % in 2008. TD: 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 Chad – Table TD.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.62 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
Chad TD: Improved Sanitation Facilities: % of Population with Access
TD: Improved Sanitation Facilities: % of Population with Access data was reported at 12.100 % in 2015. This records an increase from the previous number of 12.000 % for 2014. TD: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 10.200 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 12.100 % in 2015 and a record low of 7.800 % in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 12.10 2015 | yearly | 1990 - 2015 |
View Chad's Chad TD: Improved Sanitation Facilities: % of Population with Access from 1990 to 2015 in the chart:
Chad TD: Improved Sanitation Facilities: Rural: % of Rural Population with Access
TD: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 6.500 % in 2015. This stayed constant from the previous number of 6.500 % for 2014. TD: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 5.550 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 6.500 % in 2015 and a record low of 4.400 % in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 6.50 2015 | yearly | 1990 - 2015 |
View Chad's Chad TD: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Chad TD: Improved Sanitation Facilities: Urban: % of Urban Population with Access
TD: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 31.400 % in 2015. This stayed constant from the previous number of 31.400 % for 2014. TD: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 26.850 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 31.400 % in 2015 and a record low of 20.900 % in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 31.40 2015 | yearly | 1990 - 2015 |
View Chad's Chad TD: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Chad TD: Improved Water Source: % of Population with Access
TD: Improved Water Source: % of Population with Access data was reported at 50.800 % in 2015. This stayed constant from the previous number of 50.800 % for 2014. TD: Improved Water Source: % of Population with Access data is updated yearly, averaging 45.950 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 50.800 % in 2015 and a record low of 39.800 % in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 50.80 2015 | yearly | 1990 - 2015 |
View Chad's Chad TD: Improved Water Source: % of Population with Access from 1990 to 2015 in the chart:
Chad TD: Improved Water Source: Rural: % of Rural Population with Access
TD: Improved Water Source: Rural: % of Rural Population with Access data was reported at 44.800 % in 2015. This stayed constant from the previous number of 44.800 % for 2014. TD: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 41.500 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 44.800 % in 2015 and a record low of 37.200 % in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 44.80 2015 | yearly | 1990 - 2015 |
View Chad's Chad TD: Improved Water Source: Rural: % of Rural Population with Access from 1990 to 2015 in the chart:
Chad TD: Improved Water Source: Urban: % of Urban Population with Access
TD: Improved Water Source: Urban: % of Urban Population with Access data was reported at 71.800 % in 2015. This stayed constant from the previous number of 71.800 % for 2014. TD: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 62.100 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 71.800 % in 2015 and a record low of 49.400 % in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 71.80 2015 | yearly | 1990 - 2015 |
View Chad's Chad TD: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Chad TD: Incidence of HIV: % of Uninfected Population Aged 15-49
TD: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.070 % in 2017. This records an increase from the previous number of 0.060 % for 2016. TD: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.160 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 0.300 % in 1995 and a record low of 0.060 % in 2016. TD: 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 Chad – Table TD.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 Chad's Chad TD: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Chad TD: Intentional Homicides: Female: per 100,000 Female
TD: Intentional Homicides: Female: per 100,000 Female data was reported at 3.623 Ratio in 2015. TD: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 3.623 Ratio from Dec 2015 to 2015, with 1 observations. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 3.62 2015 | yearly | 2015 - 2015 |
View Chad's Chad TD: Intentional Homicides: Female: per 100,000 Female from 2015 to 2015 in the chart:
Chad TD: Intentional Homicides: Male: per 100,000 Male
TD: Intentional Homicides: Male: per 100,000 Male data was reported at 14.447 Ratio in 2015. TD: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 14.447 Ratio from Dec 2015 to 2015, with 1 observations. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 14.45 2015 | yearly | 2015 - 2015 |
View Chad's Chad TD: Intentional Homicides: Male: per 100,000 Male from 2015 to 2015 in the chart:
Chad TD: Intentional Homicides: per 100,000 People
TD: Intentional Homicides: per 100,000 People data was reported at 9.040 Ratio in 2015. This records a decrease from the previous number of 9.684 Ratio for 2010. TD: Intentional Homicides: per 100,000 People data is updated yearly, averaging 10.201 Ratio from Dec 2000 to 2015, with 4 observations. The data reached an all-time high of 11.378 Ratio in 2000 and a record low of 9.040 Ratio in 2015. TD: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Intentional homicides are estimates of unlawful 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.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.000 2015 | yearly | 2005 - 2015 |
View Chad's Chad TD: Intentional Homicides: per 100,000 People from 2005 to 2015 in the chart:
Chad TD: Low-Birthweight Babies: % of Births
TD: Low-Birthweight Babies: % of Births data was reported at 19.900 % in 2010. This records a decrease from the previous number of 21.700 % for 2004. TD: Low-Birthweight Babies: % of Births data is updated yearly, averaging 18.250 % from Dec 1997 to 2010, with 4 observations. The data reached an all-time high of 21.700 % in 2004 and a record low of 9.600 % in 2000. TD: Low-Birthweight Babies: % of Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hour of life, before significant postnatal weight loss has occurred.;UNICEF-WHO Low birthweight estimates [data.unicef.org];Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 19.900 2010 | yearly | 1997 - 2010 |
View Chad's Chad TD: Low-Birthweight Babies: % of Births from 1997 to 2010 in the chart:
Chad TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 262.000 NA in 2016. TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 262.000 NA from Dec 2016 to 2016, with 1 observations. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 262.000 2016 | yearly | 2016 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Chad TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 301.000 NA in 2016. TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 301.000 NA from Dec 2016 to 2016, with 1 observations. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 301.000 2016 | yearly | 2016 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Chad TD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
TD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 280.100 Ratio in 2016. TD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 280.100 Ratio from Dec 2016 to 2016, with 1 observations. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 280.10 2016 | yearly | 2016 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Chad TD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
TD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 2.400 Ratio in 2016. This records a decrease from the previous number of 2.500 Ratio for 2015. TD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 2.400 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 2.500 Ratio in 2015 and a record low of 2.200 Ratio in 2000. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 2.40 2016 | yearly | 2000 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Chad TD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
TD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 4.800 Ratio in 2016. This records a decrease from the previous number of 4.900 Ratio for 2015. TD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 5.000 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 5.600 Ratio in 2000 and a record low of 4.800 Ratio in 2016. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 4.80 2016 | yearly | 2000 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Chad TD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
TD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 3.600 Ratio in 2016. This records a decrease from the previous number of 3.700 Ratio for 2015. TD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 3.700 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 4.000 Ratio in 2005 and a record low of 3.600 Ratio in 2016. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 3.60 2016 | yearly | 2000 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Chad TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 101.000 Ratio in 2016. TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 101.000 Ratio from Dec 2016 to 2016, with 1 observations. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 101.00 2016 | yearly | 2016 - 2016 |
View Chad's Chad TD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 23.700 NA in 2016. This records a decrease from the previous number of 23.800 NA for 2015. TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 23.800 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 24.200 NA in 2010 and a record low of 23.400 NA in 2000. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 23.700 2016 | yearly | 2000 - 2016 |
View Chad's Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 24.200 NA in 2016. This records a decrease from the previous number of 24.400 NA for 2015. TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 24.700 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 25.400 NA in 2000 and a record low of 24.200 NA in 2016. TD: 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 Chad – Table TD.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 24.200 2016 | yearly | 2000 - 2016 |
View Chad's Chad TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Chad TD: Newly Infected with HIV: Adults: Aged 15+
TD: Newly Infected with HIV: Adults: Aged 15+ data was reported at 4,400.000 Number in 2018. This records an increase from the previous number of 4,200.000 Number for 2017. TD: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 5,100.000 Number from Dec 1990 to 2018, with 29 observations. The data reached an all-time high of 7,200.000 Number in 1993 and a record low of 4,000.000 Number in 2016. TD: 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 Chad – Table TD.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 4,400.000 2018 | yearly | 1990 - 2018 |
View Chad's Chad TD: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Chad TD: Number of Deaths Ages 10-14 Years
TD: Number of Deaths Ages 10-14 Years data was reported at 4,548.000 Person in 2019. This records an increase from the previous number of 4,502.000 Person for 2018. TD: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 3,203.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 4,548.000 Person in 2019 and a record low of 2,068.000 Person in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 4,548.000 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Chad TD: Number of Deaths Ages 15-19 Years
TD: Number of Deaths Ages 15-19 Years data was reported at 5,619.000 Person in 2019. This records an increase from the previous number of 5,613.000 Person for 2018. TD: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 4,174.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 5,619.000 Person in 2019 and a record low of 2,928.000 Person in 1991. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 5,619.000 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Chad TD: Number of Deaths Ages 20-24 Years
TD: Number of Deaths Ages 20-24 Years data was reported at 5,853.000 Person in 2019. This records an increase from the previous number of 5,720.000 Person for 2018. TD: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 3,513.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 5,853.000 Person in 2019 and a record low of 1,735.000 Person in 1991. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 5,853.000 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Chad TD: Number of Deaths Ages 5-9 Years
TD: Number of Deaths Ages 5-9 Years data was reported at 7,568.000 Person in 2019. This records a decrease from the previous number of 7,639.000 Person for 2018. TD: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 7,508.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 7,789.000 Person in 2014 and a record low of 6,666.000 Person in 1990. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 7,568.000 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
TD: Number of Surgical Procedures: per 100,000 population
TD: Number of Surgical Procedures: per 100,000 population data was reported at 52.000 Number in 2012. TD: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 52.000 Number from Dec 2012 to 2012, with 1 observations. The data reached an all-time high of 52.000 Number in 2012 and a record low of 52.000 Number in 2012. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 52.000 2012 | yearly | 2012 - 2012 |
View Chad's TD: Number of Surgical Procedures: per 100,000 population from 2012 to 2012 in the chart:
Chad TD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
TD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 86.329 % in 2014. This stayed constant from the previous number of 86.329 % for 2013. TD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 91.355 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 96.483 % in 1995 and a record low of 85.859 % in 2010. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 86.33 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Chad TD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
TD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 39.151 % in 2014. This records a decrease from the previous number of 41.498 % for 2013. TD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 55.543 % from Dec 1995 to 2014, with 20 observations. The data reached an all-time high of 66.711 % in 1998 and a record low of 39.151 % in 2014. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 39.15 2014 | yearly | 1995 - 2014 |
View Chad's Chad TD: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
TD: Prevalence of Anemia among Children: % of Children Under 5
TD: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 73.300 % in 2016. This records a decrease from the previous number of 73.700 % for 2015. TD: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 79.200 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 82.500 % in 1991 and a record low of 73.300 % in 2016. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 73.300 2016 | yearly | 1990 - 2016 |
View Chad's TD: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Chad TD: Probability of Dying at Age 10-14 Years: per 1000
TD: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 10.600 Ratio in 2019. This records a decrease from the previous number of 10.800 Ratio for 2018. TD: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 12.300 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 13.800 Ratio in 1990 and a record low of 10.600 Ratio in 2019. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 10.600 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Chad TD: Probability of Dying at Age 15-19 Years: per 1000
TD: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 15.500 Ratio in 2019. This records a decrease from the previous number of 16.000 Ratio for 2018. TD: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 20.000 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 25.800 Ratio in 1990 and a record low of 15.500 Ratio in 2019. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 15.500 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Chad TD: Probability of Dying at Age 20-24 Years: per 1000
TD: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 19.600 Ratio in 2019. This records a decrease from the previous number of 19.800 Ratio for 2018. TD: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 20.150 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 23.800 Ratio in 2006 and a record low of 17.300 Ratio in 1991. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 19.600 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Chad TD: Probability of Dying at Age 5-9 Years: per 1000
TD: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 15.200 Ratio in 2019. This records a decrease from the previous number of 15.700 Ratio for 2018. TD: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 23.350 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 35.900 Ratio in 1990 and a record low of 15.200 Ratio in 2019. TD: 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 Chad – Table TD.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 |
|---|---|---|
| 15.200 2019 | yearly | 1990 - 2019 |
View Chad's Chad TD: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Chad TD: Suicide Mortality Rate: Female
TD: Suicide Mortality Rate: Female data was reported at 7.400 NA in 2016. This records a decrease from the previous number of 7.500 NA for 2015. TD: Suicide Mortality Rate: Female data is updated yearly, averaging 7.500 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 7.900 NA in 2010 and a record low of 7.200 NA in 2000. TD: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.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 |
|---|---|---|
| 7.400 2016 | yearly | 2000 - 2016 |
View Chad's Chad TD: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Chad TD: Suicide Mortality Rate: Male
TD: Suicide Mortality Rate: Male data was reported at 10.300 NA in 2016. This records an increase from the previous number of 10.200 NA for 2015. TD: Suicide Mortality Rate: Male data is updated yearly, averaging 9.500 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 10.300 NA in 2016 and a record low of 8.800 NA in 2000. TD: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.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 |
|---|---|---|
| 10.300 2016 | yearly | 2000 - 2016 |