Chad Social: Health Statistics
Prevalence of Overweight: % of Adults
Prevalence of Overweight: % of Adults data was reported at 23.100 % in 2016. This records an increase from the previous number of 22.600 % for 2015. Prevalence of Overweight: % of Adults data is updated yearly, averaging 14.450 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 23.100 % in 2016 and a record low of 8.000 % in 1975. Prevalence of Overweight: % of Adults 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 overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;
| Last | Frequency | Range |
|---|---|---|
| 23.100 2016 | yearly | 1975 - 2016 |
View Chad's Prevalence of Overweight: % of Adults from 1975 to 2016 in the chart:
TD: ARI Treatment: % of Children Under 5 Taken to a Health Provider
TD: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 17.600 % in 2019. This records a decrease from the previous number of 25.800 % for 2015. TD: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 22.000 % from Dec 2000 (Median) to 2019, with 5 observations. The data reached an all-time high of 26.100 % in 2010 and a record low of 12.000 % in 2004. TD: ARI Treatment: % of Children Under 5 Taken to a Health Provider 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. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.600 2019 | yearly | 2000 - 2019 |
View Chad's TD: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 2000 to 2019 in the chart:
TD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
TD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 135.678 Ratio in 2022. This records a decrease from the previous number of 138.306 Ratio for 2021. TD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 202.637 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 220.732 Ratio in 1972 and a record low of 135.678 Ratio in 2022. TD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 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. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.;United Nations Population Division, World Population Prospects.;Weighted average;This is the Sustainable Development Goal indicator 3.7.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 135.678 2022 | yearly | 1960 - 2022 |
View Chad's TD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2022 in the chart:
TD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
TD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 65.000 % in 2022. This records a decrease from the previous number of 73.000 % for 2021. TD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 22.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 73.000 % in 2021 and a record low of 0.000 % in 2005. TD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV 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. Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 65.000 2022 | yearly | 2000 - 2022 |
View Chad's TD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2000 to 2022 in the chart:
TD: Antiretroviral Therapy Coverage: % of People Living with HIV
TD: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 77.000 % in 2022. This records an increase from the previous number of 72.000 % for 2021. TD: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 30.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 77.000 % in 2022 and a record low of 0.000 % in 2004. TD: Antiretroviral Therapy Coverage: % of People Living with HIV 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. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 77.000 2022 | yearly | 2000 - 2022 |
View Chad's TD: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2022 in the chart:
TD: Births Attended by Skilled Health Staff: % of Total
TD: Births Attended by Skilled Health Staff: % of Total data was reported at 47.200 % in 2019. This records an increase from the previous number of 24.300 % for 2015. TD: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 15.500 % from Dec 1997 (Median) to 2019, with 6 observations. The data reached an all-time high of 47.200 % in 2019 and a record low of 12.200 % in 1997. TD: Births Attended by Skilled Health Staff: % of Total 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. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women. This is the Sustainable Development Goal indicator 3.1.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 47.200 2019 | yearly | 1997 - 2019 |
View Chad's TD: Births Attended by Skilled Health Staff: % of Total from 1997 to 2019 in the chart:
TD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
TD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 63.448 % in 2019. This records a decrease from the previous number of 65.677 % for 2015. TD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 67.507 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 73.485 % in 2000 and a record low of 63.448 % in 2019. TD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total 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. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 63.448 2019 | yearly | 2000 - 2019 |
View Chad's TD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2019 in the chart:
TD: Cause of Death: by Injury: % of Total
TD: Cause of Death: by Injury: % of Total data was reported at 9.567 % in 2019. This records an increase from the previous number of 8.728 % for 2015. TD: Cause of Death: by Injury: % of Total data is updated yearly, averaging 8.059 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 9.567 % in 2019 and a record low of 6.979 % in 2000. TD: Cause of Death: by Injury: % of Total 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. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.567 2019 | yearly | 2000 - 2019 |
View Chad's TD: Cause of Death: by Injury: % of Total from 2000 to 2019 in the chart:
TD: Cause of Death: by Non-Communicable Diseases: % of Total
TD: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 26.985 % in 2019. This records an increase from the previous number of 25.595 % for 2015. TD: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 24.434 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 26.985 % in 2019 and a record low of 19.535 % in 2000. TD: Cause of Death: by Non-Communicable Diseases: % of Total 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. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.985 2019 | yearly | 2000 - 2019 |
View Chad's TD: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2019 in the chart:
TD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
TD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 26.900 % in 2015. This records a decrease from the previous number of 42.700 % for 2010. TD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 37.350 % from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 53.000 % in 2004 and a record low of 26.900 % in 2015. TD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever 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. Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.900 2015 | yearly | 2000 - 2015 |
View Chad's TD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever from 2000 to 2015 in the chart:
TD: Children: 0-14 Living with HIV
TD: Children: 0-14 Living with HIV data was reported at 12,000.000 Person in 2022. This stayed constant from the previous number of 12,000.000 Person for 2021. TD: Children: 0-14 Living with HIV data is updated yearly, averaging 14,000.000 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 17,000.000 Person in 2010 and a record low of 2,800.000 Person in 1990. TD: Children: 0-14 Living with HIV 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. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.;UNAIDS estimates.;;
| Last | Frequency | Range |
|---|---|---|
| 12,000.000 2022 | yearly | 1990 - 2022 |
View Chad's TD: Children: 0-14 Living with HIV from 1990 to 2022 in the chart:
TD: Consumption of Iodized Salt: % of Households
TD: Consumption of Iodized Salt: % of Households data was reported at 65.000 % in 2019. This records a decrease from the previous number of 76.500 % for 2015. TD: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 65.550 % from Dec 1997 (Median) to 2019, with 6 observations. The data reached an all-time high of 76.500 % in 2015 and a record low of 56.400 % in 1997. TD: Consumption of Iodized Salt: % of Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine.;United Nations Children's Fund, Division of Data, Analysis, Planning and Monitoring (2019). UNICEF Global Databases on Iodized salt, New York, June 2019;Weighted average;Iodine deficiency is the single most important cause of preventable mental retardation, contributes significantly to the risk of stillbirth and miscarriage, and increases the incidence of infant mortality. A diet low in iodine is the main cause of iodine deficiency. It usually occurs among populations living in areas where the soil has been depleted of iodine. If soil is deficient in iodine, then so are the plants grown in it, including the grains and vegetables that people and animals consume. There are almost no countries in the world where iodine deficiency has not been a public health problem. Many newborns in low- and middle-income countries remain unprotected from the lifelong consequences of brain damage associated with iodine deficiency disorders, which affect a child's ability to learn and to earn a living as an adult, and in turn prevents children, communities, and countries from fulfilling their potential (UNICEF, www.childinfo.org). Widely used and inexpensive, iodized salt is the best source of iodine, and a global campaign to iodize edible salt is significantly reducing the risks associated with iodine deficiency.
| Last | Frequency | Range |
|---|---|---|
| 65.000 2019 | yearly | 1997 - 2019 |
View Chad's TD: Consumption of Iodized Salt: % of Households from 1997 to 2019 in the chart:
TD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
TD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 8.100 % in 2019. This records an increase from the previous number of 5.700 % for 2015. TD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 6.800 % from Dec 1997 (Median) to 2019, with 6 observations. The data reached an all-time high of 11.100 % in 2004 and a record low of 4.100 % in 1997. TD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.100 2019 | yearly | 1997 - 2019 |
View Chad's TD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1997 to 2019 in the chart:
TD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
TD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 6.700 % in 2019. This records an increase from the previous number of 5.000 % for 2015. TD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 5.650 % from Dec 1997 (Median) to 2019, with 6 observations. The data reached an all-time high of 9.900 % in 2004 and a record low of 1.200 % in 1997. TD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Contraceptive prevalence, any modern method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.700 2019 | yearly | 1997 - 2019 |
View Chad's TD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1997 to 2019 in the chart:
TD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
TD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 17.600 % in 2015. This records a decrease from the previous number of 31.400 % for 2004. TD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 17.600 % from Dec 1997 (Median) to 2015, with 3 observations. The data reached an all-time high of 31.400 % in 2004 and a record low of 5.400 % in 1997. TD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.;Demographic and Health Surveys (DHS).;Weighted average;This is the Sustainable Development Goal indicator 3.7.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 17.600 2015 | yearly | 1997 - 2015 |
View Chad's TD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1997 to 2015 in the chart:
TD: Diabetes Prevalence: % of Population Aged 20-79
TD: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 5.800 % in 2021. This records an increase from the previous number of 3.900 % for 2011. TD: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 4.850 % from Dec 2011 (Median) to 2021, with 2 observations. The data reached an all-time high of 5.800 % in 2021 and a record low of 3.900 % in 2011. TD: Diabetes Prevalence: % of Population Aged 20-79 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. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.;International Diabetes Federation, Diabetes Atlas.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.800 2021 | yearly | 2011 - 2021 |
View Chad's TD: Diabetes Prevalence: % of Population Aged 20-79 from 2011 to 2021 in the chart:
TD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
TD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 24.500 % in 2019. This records a decrease from the previous number of 28.900 % for 2015. TD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 25.950 % from Dec 1997 (Median) to 2019, with 6 observations. The data reached an all-time high of 44.000 % in 2000 and a record low of 22.900 % in 1997. TD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 24.500 2019 | yearly | 1997 - 2019 |
View Chad's TD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 1997 to 2019 in the chart:
TD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
TD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 17.400 % in 2019. This records a decrease from the previous number of 20.400 % for 2015. TD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 14.200 % from Dec 1985 (Median) to 2019, with 10 observations. The data reached an all-time high of 23.400 % in 1997 and a record low of 2.000 % in 1987. TD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet 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. Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.400 2019 | yearly | 1985 - 2019 |
View Chad's TD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1985 to 2019 in the chart:
TD: Exclusive Breastfeeding: % of Children under 6 Months
TD: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 16.205 % in 2019. This records an increase from the previous number of 0.106 % for 2015. TD: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 2.007 % from Dec 1997 (Median) to 2019, with 7 observations. The data reached an all-time high of 16.205 % in 2019 and a record low of 0.106 % in 2015. TD: Exclusive Breastfeeding: % of Children under 6 Months 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. Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 16.205 2019 | yearly | 1997 - 2019 |
View Chad's TD: Exclusive Breastfeeding: % of Children under 6 Months from 1997 to 2019 in the chart:
TD: Female Adults with HIV: % of Population Aged 15+ with HIV
TD: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 62.318 % in 2022. This records an increase from the previous number of 62.048 % for 2021. TD: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 58.076 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 62.318 % in 2022 and a record low of 54.701 % in 1990. TD: Female Adults with HIV: % of Population Aged 15+ with HIV 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 HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 62.318 2022 | yearly | 1990 - 2022 |
View Chad's TD: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2022 in the chart:
TD: Female Genital Mutilation Prevalence
TD: Female Genital Mutilation Prevalence data was reported at 34.100 % in 2019. This records a decrease from the previous number of 38.400 % for 2015. TD: Female Genital Mutilation Prevalence data is updated yearly, averaging 38.400 % from Dec 2004 (Median) to 2019, with 3 observations. The data reached an all-time high of 44.900 % in 2004 and a record low of 34.100 % in 2019. TD: Female Genital Mutilation Prevalence 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. Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.;UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.;;This is the Sustainable Development Goal indicator 5.3.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 34.100 2019 | yearly | 2004 - 2019 |
View Chad's TD: Female Genital Mutilation Prevalence from 2004 to 2019 in the chart:
TD: Fertility Rate: Total: Births per Woman
TD: Fertility Rate: Total: Births per Woman data was reported at 6.215 Ratio in 2022. This records a decrease from the previous number of 6.255 Ratio for 2021. TD: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 6.908 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 7.337 Ratio in 1993 and a record low of 6.215 Ratio in 2022. TD: Fertility Rate: Total: Births per Woman 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 fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 6.215 2022 | yearly | 1960 - 2022 |
View Chad's TD: Fertility Rate: Total: Births per Woman from 1960 to 2022 in the chart:
TD: Immunization: HepB3: % of One-Year-Old Children
TD: Immunization: HepB3: % of One-Year-Old Children data was reported at 60.000 % in 2022. This records an increase from the previous number of 58.000 % for 2021. TD: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 41.000 % from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 60.000 % in 2022 and a record low of 17.000 % in 2008. TD: Immunization: HepB3: % of One-Year-Old Children 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. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.;WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 60.000 2022 | yearly | 2008 - 2022 |
View Chad's TD: Immunization: HepB3: % of One-Year-Old Children from 2008 to 2022 in the chart:
TD: Immunization: Measles: % of Children Aged 12-23 Months
TD: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 56.000 % in 2022. This records an increase from the previous number of 55.000 % for 2021. TD: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 30.000 % from Dec 1984 (Median) to 2022, with 39 observations. The data reached an all-time high of 63.000 % in 2012 and a record low of 7.000 % in 1985. TD: Immunization: Measles: % of Children Aged 12-23 Months 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. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.;WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 56.000 2022 | yearly | 1984 - 2022 |
View Chad's TD: Immunization: Measles: % of Children Aged 12-23 Months from 1984 to 2022 in the chart:
TD: Incidence of HIV: per 1,000 Uninfected Population
TD: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.220 Ratio in 2022. This records a decrease from the previous number of 0.240 Ratio for 2021. TD: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.860 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1.770 Ratio in 1994 and a record low of 0.220 Ratio in 2022. TD: Incidence of HIV: per 1,000 Uninfected 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. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.220 2022 | yearly | 1990 - 2022 |
View Chad's TD: Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2022 in the chart:
TD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
TD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.310 Ratio in 2022. This records a decrease from the previous number of 0.360 Ratio for 2021. TD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 1.260 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 3.210 Ratio in 1994 and a record low of 0.310 Ratio in 2022. TD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 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 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.310 2022 | yearly | 1990 - 2022 |
View Chad's TD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2022 in the chart:
TD: Incidence of Malaria: per 1,000 Population at Risk
TD: Incidence of Malaria: per 1,000 Population at Risk data was reported at 207.408 Number in 2022. This records an increase from the previous number of 203.732 Number for 2021. TD: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 227.438 Number from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 272.509 Number in 2001 and a record low of 203.732 Number in 2021. TD: Incidence of Malaria: per 1,000 Population at Risk 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. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.;World Health Organization, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 207.408 2022 | yearly | 2000 - 2022 |
View Chad's TD: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2022 in the chart:
TD: Incidence of Tuberculosis: per 100,000 People
TD: Incidence of Tuberculosis: per 100,000 People data was reported at 140.000 Ratio in 2022. This stayed constant from the previous number of 140.000 Ratio for 2021. TD: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 147.000 Ratio from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 152.000 Ratio in 2003 and a record low of 140.000 Ratio in 2022. TD: Incidence of Tuberculosis: 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. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization. This is the Sustainable Development Goal indicator 3.3.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 140.000 2022 | yearly | 2000 - 2022 |
View Chad's TD: Incidence of Tuberculosis: per 100,000 People from 2000 to 2022 in the chart:
TD: Life Expectancy at Birth: Female
TD: Life Expectancy at Birth: Female data was reported at 54.769 Year in 2022. This records an increase from the previous number of 54.283 Year for 2021. TD: Life Expectancy at Birth: Female data is updated yearly, averaging 47.514 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 54.908 Year in 2019 and a record low of 39.971 Year in 1960. TD: Life Expectancy at Birth: 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: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 54.769 2022 | yearly | 1960 - 2022 |
View Chad's TD: Life Expectancy at Birth: Female from 1960 to 2022 in the chart:
TD: Life Expectancy at Birth: Male
TD: Life Expectancy at Birth: Male data was reported at 51.300 Year in 2022. This records an increase from the previous number of 50.845 Year for 2021. TD: Life Expectancy at Birth: Male data is updated yearly, averaging 44.437 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 51.664 Year in 2019 and a record low of 36.811 Year in 1960. TD: Life Expectancy at Birth: 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: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 51.300 2022 | yearly | 1960 - 2022 |
View Chad's TD: Life Expectancy at Birth: Male from 1960 to 2022 in the chart:
TD: Life Expectancy at Birth: Total
TD: Life Expectancy at Birth: Total data was reported at 52.997 Year in 2022. This records an increase from the previous number of 52.525 Year for 2021. TD: Life Expectancy at Birth: Total data is updated yearly, averaging 45.941 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 53.259 Year in 2019 and a record low of 38.374 Year in 1960. TD: Life Expectancy at Birth: Total 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. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; or derived from male and female life expectancy at birth from sources such as: (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 52.997 2022 | yearly | 1960 - 2022 |
View Chad's TD: Life Expectancy at Birth: Total from 1960 to 2022 in the chart:
TD: Lifetime Risk Of Maternal Death
TD: Lifetime Risk Of Maternal Death data was reported at 6.716 % in 2020. This records an increase from the previous number of 6.613 % for 2019. TD: Lifetime Risk Of Maternal Death data is updated yearly, averaging 8.761 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 10.161 % in 2000 and a record low of 6.613 % in 2019. TD: Lifetime Risk Of Maternal Death 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. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.716 2020 | yearly | 2000 - 2020 |
View Chad's TD: Lifetime Risk Of Maternal Death from 2000 to 2020 in the chart:
TD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
TD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 15.000 NA in 2020. This stayed constant from the previous number of 15.000 NA for 2019. TD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 11.000 NA from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 15.000 NA in 2020 and a record low of 10.000 NA in 2001. TD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country 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. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.000 2020 | yearly | 2000 - 2020 |
View Chad's TD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 2000 to 2020 in the chart:
TD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
TD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 1,063.000 Ratio in 2020. This records an increase from the previous number of 1,047.000 Ratio for 2019. TD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 1,241.000 Ratio from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 1,366.000 Ratio in 2000 and a record low of 1,047.000 Ratio in 2019. TD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 1,063.000 2020 | yearly | 2000 - 2020 |
View Chad's TD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 2000 to 2020 in the chart:
TD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
TD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 1,389.000 Ratio in 2015. This records an increase from the previous number of 1,358.000 Ratio for 2004. TD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 1,358.000 Ratio from Dec 1997 (Median) to 2015, with 3 observations. The data reached an all-time high of 1,389.000 Ratio in 2015 and a record low of 1,165.000 Ratio in 1997. TD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.;The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;;
| Last | Frequency | Range |
|---|---|---|
| 1,389.000 2015 | yearly | 1997 - 2015 |
View Chad's TD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1997 to 2015 in the chart:
TD: Mortality Caused by Road Traffic Injury: per 100,000 People
TD: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 32.400 Number in 2019. This records an increase from the previous number of 30.600 Number for 2018. TD: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 25.050 Number from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 32.400 Number in 2019 and a record low of 23.700 Number in 2012. TD: Mortality Caused by Road Traffic Injury: 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. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.6.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 32.400 2019 | yearly | 2000 - 2019 |
View Chad's TD: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2019 in the chart:
TD: Mortality Rate: Adult: Female: per 1000 Female Adults
TD: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 347.439 Ratio in 2022. This records a decrease from the previous number of 352.065 Ratio for 2021. TD: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 372.680 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 421.427 Ratio in 1960 and a record low of 330.834 Ratio in 2019. TD: Mortality Rate: Adult: Female: per 1000 Female Adults 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. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 347.439 2022 | yearly | 1960 - 2022 |
View Chad's TD: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2022 in the chart:
TD: Mortality Rate: Adult: Male: per 1000 Male Adults
TD: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 418.778 Ratio in 2022. This records a decrease from the previous number of 423.490 Ratio for 2021. TD: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 424.470 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 569.704 Ratio in 1987 and a record low of 393.335 Ratio in 2019. TD: Mortality Rate: Adult: Male: per 1000 Male Adults 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. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 418.778 2022 | yearly | 1960 - 2022 |
View Chad's TD: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2022 in the chart:
TD: Mortality Rate: Infant: per 1000 Live Births
TD: Mortality Rate: Infant: per 1000 Live Births data was reported at 64.100 Ratio in 2022. This records a decrease from the previous number of 65.700 Ratio for 2021. TD: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 103.800 Ratio from Dec 1972 (Median) to 2022, with 51 observations. The data reached an all-time high of 129.300 Ratio in 1972 and a record low of 64.100 Ratio in 2022. TD: Mortality Rate: Infant: per 1000 Live 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. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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 |
|---|---|---|
| 64.100 2022 | yearly | 1972 - 2022 |
View Chad's TD: Mortality Rate: Infant: per 1000 Live Births from 1972 to 2022 in the chart:
TD: Mortality Rate: Neonatal: per 1000 Live Births
TD: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 31.600 Ratio in 2022. This records a decrease from the previous number of 32.200 Ratio for 2021. TD: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 46.450 Ratio from Dec 1973 (Median) to 2022, with 50 observations. The data reached an all-time high of 62.100 Ratio in 1974 and a record low of 31.600 Ratio in 2022. TD: Mortality Rate: Neonatal: per 1000 Live 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. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. 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. This is the Sustainable Development Goal indicator 3.2.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 31.600 2022 | yearly | 1973 - 2022 |
View Chad's TD: Mortality Rate: Neonatal: per 1000 Live Births from 1973 to 2022 in the chart:
TD: Mortality Rate: Under-5: Female: per 1000 Live Births
TD: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 96.200 Ratio in 2022. This records a decrease from the previous number of 99.400 Ratio for 2021. TD: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 184.500 Ratio from Dec 1972 (Median) to 2022, with 51 observations. The data reached an all-time high of 242.700 Ratio in 1972 and a record low of 96.200 Ratio in 2022. TD: Mortality Rate: Under-5: Female: per 1000 Live 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. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 96.200 2022 | yearly | 1972 - 2022 |
View Chad's TD: Mortality Rate: Under-5: Female: per 1000 Live Births from 1972 to 2022 in the chart:
TD: Mortality Rate: Under-5: per 1000 Live Births
TD: Mortality Rate: Under-5: per 1000 Live Births data was reported at 102.900 Ratio in 2022. This records a decrease from the previous number of 106.400 Ratio for 2021. TD: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 193.500 Ratio from Dec 1972 (Median) to 2022, with 51 observations. The data reached an all-time high of 253.300 Ratio in 1972 and a record low of 102.900 Ratio in 2022. TD: Mortality Rate: Under-5: per 1000 Live 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. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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. This is the Sustainable Development Goal indicator 3.2.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 102.900 2022 | yearly | 1972 - 2022 |
View Chad's TD: Mortality Rate: Under-5: per 1000 Live Births from 1972 to 2022 in the chart:
TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 22.700 % in 2019. This records a decrease from the previous number of 23.200 % for 2018. TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 24.550 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 24.900 % in 2003 and a record low of 22.700 % in 2019. TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 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. 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;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 22.700 2019 | yearly | 2000 - 2019 |
View Chad's TD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2019 in the chart:
TD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
TD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 3,800.000 Number in 2022. This records a decrease from the previous number of 4,100.000 Number for 2021. TD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 8,700.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 12,000.000 Number in 1994 and a record low of 3,800.000 Number in 2022. TD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) 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+) and children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 3,800.000 2022 | yearly | 1990 - 2022 |
View Chad's TD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2022 in the chart:
TD: Newly Infected with HIV: Adults: Aged 15-24
TD: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 1,000.000 Number in 2022. This records a decrease from the previous number of 1,200.000 Number for 2021. TD: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 2,400.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 4,000.000 Number in 1994 and a record low of 1,000.000 Number in 2022. TD: Newly Infected with HIV: Adults: Aged 15-24 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 young people (ages 15-24) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,000.000 2022 | yearly | 1990 - 2022 |
View Chad's TD: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2022 in the chart:
TD: Newly Infected with HIV: Adults: Aged 15-49
TD: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 2,200.000 Number in 2022. This records a decrease from the previous number of 2,500.000 Number for 2021. TD: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 5,200.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 8,300.000 Number in 1994 and a record low of 2,200.000 Number in 2022. TD: Newly Infected with HIV: Adults: 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 adults (ages 15-49) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 2,200.000 2022 | yearly | 1990 - 2022 |
View Chad's TD: Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2022 in the chart:
TD: Newly Infected with HIV: Children: Aged 0-14
TD: Newly Infected with HIV: Children: Aged 0-14 data was reported at 1,500.000 Number in 2022. This stayed constant from the previous number of 1,500.000 Number for 2021. TD: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 2,700.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 3,500.000 Number in 2001 and a record low of 1,500.000 Number in 2022. TD: Newly Infected with HIV: Children: Aged 0-14 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 children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,500.000 2022 | yearly | 1990 - 2022 |
View Chad's TD: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2022 in the chart:
TD: Number of Death: Infant
TD: Number of Death: Infant data was reported at 47,919.000 Person in 2022. This records a decrease from the previous number of 47,942.000 Person for 2021. TD: Number of Death: Infant data is updated yearly, averaging 39,663.500 Person from Dec 1973 (Median) to 2022, with 50 observations. The data reached an all-time high of 48,599.000 Person in 2015 and a record low of 23,908.000 Person in 1973. TD: Number of Death: Infant 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 infants dying before reaching one year of age.;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 |
|---|---|---|
| 47,919.000 2022 | yearly | 1973 - 2022 |
View Chad's TD: Number of Death: Infant from 1973 to 2022 in the chart:
TD: Number of Death: Neonatal
TD: Number of Death: Neonatal data was reported at 24,193.000 Person in 2022. This records an increase from the previous number of 23,935.000 Person for 2021. TD: Number of Death: Neonatal data is updated yearly, averaging 18,504.000 Person from Dec 1974 (Median) to 2022, with 49 observations. The data reached an all-time high of 24,193.000 Person in 2022 and a record low of 12,136.000 Person in 1974. TD: Number of Death: Neonatal 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 neonates dying before reaching 28 days of age.;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. This indicator is related to Sustainable Development Goal 3.2.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 24,193.000 2022 | yearly | 1974 - 2022 |
View Chad's TD: Number of Death: Neonatal from 1974 to 2022 in the chart:
TD: Number of Death: Under-5
TD: Number of Death: Under-5 data was reported at 75,306.000 Person in 2022. This records a decrease from the previous number of 75,991.000 Person for 2021. TD: Number of Death: Under-5 data is updated yearly, averaging 73,221.000 Person from Dec 1977 (Median) to 2022, with 46 observations. The data reached an all-time high of 81,083.000 Person in 2012 and a record low of 48,554.000 Person in 1977. TD: Number of Death: 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. Number of children dying before reaching age five.;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 |
|---|---|---|
| 75,306.000 2022 | yearly | 1977 - 2022 |
View Chad's TD: Number of Death: Under-5 from 1977 to 2022 in the chart:
TD: Number of Maternal Death
TD: Number of Maternal Death data was reported at 7,800.000 Person in 2020. This records an increase from the previous number of 7,500.000 Person for 2019. TD: Number of Maternal Death data is updated yearly, averaging 7,400.000 Person from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 7,800.000 Person in 2020 and a record low of 5,700.000 Person in 2003. TD: Number of Maternal Death 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. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Sum;
| Last | Frequency | Range |
|---|---|---|
| 7,800.000 2020 | yearly | 2000 - 2020 |
View Chad's TD: Number of Maternal Death from 2000 to 2020 in the chart:
TD: Nurses and Midwives: per 1000 People
TD: Nurses and Midwives: per 1000 People data was reported at 0.198 Ratio in 2021. This records a decrease from the previous number of 0.200 Ratio for 2020. TD: Nurses and Midwives: per 1000 People data is updated yearly, averaging 0.207 Ratio from Dec 1997 (Median) to 2021, with 16 observations. The data reached an all-time high of 0.308 Ratio in 2018 and a record low of 0.048 Ratio in 1997. TD: Nurses and Midwives: per 1000 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. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.198 2021 | yearly | 1997 - 2021 |
View Chad's TD: Nurses and Midwives: per 1000 People from 1997 to 2021 in the chart:
TD: Physicians: per 1000 People
TD: Physicians: per 1000 People data was reported at 0.061 Ratio in 2020. This records an increase from the previous number of 0.054 Ratio for 2019. TD: Physicians: per 1000 People data is updated yearly, averaging 0.034 Ratio from Dec 1960 (Median) to 2020, with 22 observations. The data reached an all-time high of 0.061 Ratio in 2020 and a record low of 0.014 Ratio in 1965. TD: Physicians: per 1000 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. Physicians include generalist and specialist medical practitioners.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.054 2019 | yearly | 1960 - 2019 |
View Chad's TD: Physicians: per 1000 People from 1960 to 2019 in the chart:
TD: Pregnant Women Receiving Prenatal Care
TD: Pregnant Women Receiving Prenatal Care data was reported at 54.700 % in 2015. This records an increase from the previous number of 53.200 % for 2010. TD: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 41.600 % from Dec 1997 (Median) to 2015, with 5 observations. The data reached an all-time high of 54.700 % in 2015 and a record low of 24.000 % in 1997. TD: Pregnant Women Receiving Prenatal Care 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. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 54.700 2015 | yearly | 1997 - 2015 |
View Chad's TD: Pregnant Women Receiving Prenatal Care from 1997 to 2015 in the chart:
TD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months
TD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data was reported at 66.300 % in 2019. This records a decrease from the previous number of 68.000 % for 2018. TD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data is updated yearly, averaging 75.150 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 79.100 % in 2000 and a record low of 66.300 % in 2019. TD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months 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 ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;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 |
|---|---|---|
| 66.300 2019 | yearly | 2000 - 2019 |
View Chad's TD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months from 2000 to 2019 in the chart:
TD: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
TD: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 45.500 % in 2019. This records a decrease from the previous number of 45.900 % for 2018. TD: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 50.350 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 52.200 % in 2003 and a record low of 45.500 % in 2019. TD: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 45.500 2019 | yearly | 2000 - 2019 |
View Chad's TD: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 2000 to 2019 in the chart:
TD: Prevalence of Anemia among Pregnant Women: %
TD: Prevalence of Anemia among Pregnant Women: % data was reported at 45.300 % in 2019. This records a decrease from the previous number of 46.200 % for 2018. TD: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 52.050 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 54.900 % in 2000 and a record low of 45.300 % in 2019. TD: Prevalence of Anemia among Pregnant Women: % 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, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 45.300 2019 | yearly | 2000 - 2019 |
View Chad's TD: Prevalence of Anemia among Pregnant Women: % from 2000 to 2019 in the chart:
TD: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
TD: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 45.400 % in 2019. This records a decrease from the previous number of 45.900 % for 2018. TD: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 50.550 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 52.500 % in 2004 and a record low of 45.400 % in 2019. TD: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 45.400 2019 | yearly | 2000 - 2019 |
View Chad's TD: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 2000 to 2019 in the chart:
TD: Prevalence of Current Tobacco Use: % of Adults
TD: Prevalence of Current Tobacco Use: % of Adults data was reported at 8.300 % in 2020. This records a decrease from the previous number of 8.500 % for 2019. TD: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 9.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 13.900 % in 2000 and a record low of 8.300 % in 2020. TD: Prevalence of Current Tobacco Use: % of Adults 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 percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, total (ages 15+) The previous indicator excluded smokeless tobacco use, while the current indicator includes. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 8.300 2020 | yearly | 2000 - 2020 |
View Chad's TD: Prevalence of Current Tobacco Use: % of Adults from 2000 to 2020 in the chart:
TD: Prevalence of Current Tobacco Use: Females: % of Female Adults
TD: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 2.700 % in 2020. This records a decrease from the previous number of 2.800 % for 2019. TD: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 3.300 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 6.300 % in 2000 and a record low of 2.700 % in 2020. TD: Prevalence of Current Tobacco Use: Females: % of Female Adults 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 percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 2.700 2020 | yearly | 2000 - 2020 |
View Chad's TD: Prevalence of Current Tobacco Use: Females: % of Female Adults from 2000 to 2020 in the chart:
TD: Prevalence of Current Tobacco Use: Males: % of Male Adults
TD: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 13.800 % in 2020. This records a decrease from the previous number of 14.200 % for 2019. TD: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 15.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 21.400 % in 2000 and a record low of 13.800 % in 2020. TD: Prevalence of Current Tobacco Use: Males: % of Male Adults 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 percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, males (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 13.800 2020 | yearly | 2000 - 2020 |
View Chad's TD: Prevalence of Current Tobacco Use: Males: % of Male Adults from 2000 to 2020 in the chart:
TD: Prevalence of HIV: Female: % Aged 15-24
TD: Prevalence of HIV: Female: % Aged 15-24 data was reported at 0.500 % in 2022. This stayed constant from the previous number of 0.500 % for 2021. TD: Prevalence of HIV: Female: % Aged 15-24 data is updated yearly, averaging 1.000 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1.800 % in 1997 and a record low of 0.500 % in 2022. TD: Prevalence of HIV: Female: % Aged 15-24 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 HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.500 2022 | yearly | 1990 - 2022 |
View Chad's TD: Prevalence of HIV: Female: % Aged 15-24 from 1990 to 2022 in the chart:
TD: Prevalence of HIV: Male: % Aged 15-24
TD: Prevalence of HIV: Male: % Aged 15-24 data was reported at 0.300 % in 2022. This stayed constant from the previous number of 0.300 % for 2021. TD: Prevalence of HIV: Male: % Aged 15-24 data is updated yearly, averaging 0.500 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.800 % in 1998 and a record low of 0.300 % in 2022. TD: Prevalence of HIV: Male: % Aged 15-24 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 HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women being especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.300 2022 | yearly | 1990 - 2022 |
View Chad's TD: Prevalence of HIV: Male: % Aged 15-24 from 1990 to 2022 in the chart:
TD: Prevalence of HIV: Total: % of Population Aged 15-49
TD: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 1.000 % in 2022. This records a decrease from the previous number of 1.100 % for 2021. TD: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 1.600 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 2.100 % in 1998 and a record low of 1.000 % in 2022. TD: Prevalence of HIV: Total: % of 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. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.000 2022 | yearly | 1990 - 2022 |
View Chad's TD: Prevalence of HIV: Total: % of Population Aged 15-49 from 1990 to 2022 in the chart:
TD: Prevalence of Overweight: Weight for Height: % of Children Under 5
TD: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 2.200 % in 2022. This records an increase from the previous number of 1.600 % for 2021. TD: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 2.500 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 4.200 % in 2004 and a record low of 1.600 % in 2021. TD: Prevalence of Overweight: Weight for Height: % 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 overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.OWGH.ME.ZS for aggregation;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 2.200 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
TD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 3.200 % in 2022. This stayed constant from the previous number of 3.200 % for 2021. TD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 3.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 4.500 % in 2003 and a record low of 2.500 % in 2012. TD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate 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 overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 3.200 2022 | yearly | 2000 - 2022 |
View Chad's TD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
TD: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
TD: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 2.000 % in 2022. This records an increase from the previous number of 1.400 % for 2021. TD: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 2.400 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 4.300 % in 2004 and a record low of 1.400 % in 2021. TD: Prevalence of Overweight: Weight for Height: Female: % 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 overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 2.000 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
TD: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 2.400 % in 2022. This records an increase from the previous number of 1.800 % for 2021. TD: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 2.600 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 4.200 % in 2004 and a record low of 1.800 % in 2021. TD: Prevalence of Overweight: Weight for Height: Male: % 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 overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 2.400 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
TD: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 1.500 % in 2022. This records a decrease from the previous number of 1.800 % for 2021. TD: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 4.200 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 6.500 % in 2004 and a record low of 1.500 % in 2022. TD: Prevalence of Severe Wasting: Weight for Height: % 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 severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 1.500 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
TD: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 1.100 % in 2022. This records a decrease from the previous number of 1.400 % for 2021. TD: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 3.650 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 6.300 % in 2004 and a record low of 1.100 % in 2022. TD: Prevalence of Severe Wasting: Weight for Height: Female: % 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 severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 1.100 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
TD: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 1.900 % in 2022. This records a decrease from the previous number of 2.200 % for 2021. TD: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 4.750 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 7.300 % in 2010 and a record low of 1.900 % in 2022. TD: Prevalence of Severe Wasting: Weight for Height: Male: % 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 severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 1.900 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Stunting: Height for Age: % of Children Under 5
TD: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 31.900 % in 2022. This records an increase from the previous number of 31.100 % for 2021. TD: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 37.800 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 44.500 % in 1997 and a record low of 30.500 % in 2020. TD: Prevalence of Stunting: Height for Age: % 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 stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.STNT.ME.ZS for aggregation;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 31.900 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
TD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 32.300 % in 2022. This records a decrease from the previous number of 32.900 % for 2021. TD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 39.700 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 42.600 % in 2005 and a record low of 32.300 % in 2022. TD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate 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 stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 32.300 2022 | yearly | 2000 - 2022 |
View Chad's TD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
TD: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
TD: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 29.000 % in 2022. This records an increase from the previous number of 27.500 % for 2021. TD: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 35.700 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 43.700 % in 2004 and a record low of 27.500 % in 2021. TD: Prevalence of Stunting: Height for Age: Female: % 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 stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 29.000 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5
TD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 34.800 % in 2022. This records an increase from the previous number of 34.600 % for 2021. TD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 39.800 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 46.400 % in 1997 and a record low of 32.600 % in 2020. TD: Prevalence of Stunting: Height for Age: Male: % 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 stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 34.800 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Undernourishment: % of Population
TD: Prevalence of Undernourishment: % of Population data was reported at 31.400 % in 2021. This records an increase from the previous number of 29.800 % for 2020. TD: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 30.200 % from Dec 2001 (Median) to 2021, with 21 observations. The data reached an all-time high of 40.200 % in 2008 and a record low of 23.800 % in 2012. TD: Prevalence of Undernourishment: % of 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. Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.;Food and Agriculture Organization (http://www.fao.org/faostat/en/#home).;Weighted average;This is the Sustainable Development Goal indicator 2.1.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 31.400 2021 | yearly | 2001 - 2021 |
View Chad's TD: Prevalence of Undernourishment: % of Population from 2001 to 2021 in the chart:
TD: Prevalence of Underweight: Weight for Age: % of Children Under 5
TD: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 18.200 % in 2022. This records a decrease from the previous number of 21.400 % for 2021. TD: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 29.200 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 34.300 % in 1997 and a record low of 18.200 % in 2022. TD: Prevalence of Underweight: Weight for Age: % 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 underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 18.200 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5
TD: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 16.700 % in 2022. This records a decrease from the previous number of 18.500 % for 2021. TD: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 26.900 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 32.800 % in 2004 and a record low of 16.700 % in 2022. TD: Prevalence of Underweight: Weight for Age: Female: % 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 underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 16.700 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5
TD: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 19.700 % in 2022. This records a decrease from the previous number of 24.200 % for 2021. TD: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 30.200 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 35.900 % in 1997 and a record low of 19.700 % in 2022. TD: Prevalence of Underweight: Weight for Age: Male: % 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 underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 19.700 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Wasting: Weight for Height: % of Children Under 5
TD: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 7.800 % in 2022. This records a decrease from the previous number of 10.200 % for 2021. TD: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 13.600 % from Dec 1997 (Median) to 2022, with 11 observations. The data reached an all-time high of 16.500 % in 1997 and a record low of 7.800 % in 2022. TD: Prevalence of Wasting: Weight for Height: % 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 wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 7.800 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5
TD: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 6.800 % in 2022. This records a decrease from the previous number of 8.800 % for 2021. TD: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 12.250 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 15.200 % in 2010 and a record low of 6.800 % in 2022. TD: Prevalence of Wasting: Weight for Height: Female: % 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 wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 6.800 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5
TD: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 8.700 % in 2022. This records a decrease from the previous number of 11.400 % for 2021. TD: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 14.800 % from Dec 1997 (Median) to 2022, with 10 observations. The data reached an all-time high of 17.900 % in 1997 and a record low of 8.700 % in 2022. TD: Prevalence of Wasting: Weight for Height: Male: % 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 wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 8.700 2022 | yearly | 1997 - 2022 |
View Chad's TD: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 from 1997 to 2022 in the chart:
TD: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49
TD: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data was reported at 17.500 % in 2015. TD: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data is updated yearly, averaging 17.500 % from Dec 2015 (Median) to 2015, with 1 observations. The data reached an all-time high of 17.500 % in 2015 and a record low of 17.500 % in 2015. TD: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.;United Nations Statistics Division (UNSD);Weighted average;This is the Sustainable Development Goal indicator 5.2.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 17.500 2015 | yearly | 2015 - 2015 |
View Chad's TD: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 from 2015 to 2015 in the chart:
TD: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
TD: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 82.400 % in 2022. This records an increase from the previous number of 77.700 % for 2021. TD: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 77.400 % from Dec 2009 (Median) to 2022, with 9 observations. The data reached an all-time high of 82.400 % in 2022 and a record low of 62.600 % in 2014. TD: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk 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 proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.;The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/);Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 82.400 2022 | yearly | 2009 - 2022 |
View Chad's TD: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk from 2009 to 2022 in the chart:
TD: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk
TD: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 83.700 % in 2022. This records an increase from the previous number of 82.100 % for 2021. TD: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 79.700 % from Dec 2009 (Median) to 2022, with 9 observations. The data reached an all-time high of 83.700 % in 2022 and a record low of 70.600 % in 2014. TD: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk 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 proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $2.15 PPP/day).;The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/);Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 83.700 2022 | yearly | 2009 - 2022 |
View Chad's TD: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk from 2009 to 2022 in the chart:
TD: Specialist Surgical Workforce: per 100,000 population
TD: Specialist Surgical Workforce: per 100,000 population data was reported at 0.290 Number in 2013. TD: Specialist Surgical Workforce: per 100,000 population data is updated yearly, averaging 0.290 Number from Dec 2013 (Median) to 2013, with 1 observations. The data reached an all-time high of 0.290 Number in 2013 and a record low of 0.290 Number in 2013. TD: Specialist Surgical Workforce: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.;Data collected by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org); Data collected by WHO Collaborating Centre for Surgery and Public Health at Lund University from various sources including Ministries of Health or equivalent national regulatory bodies, national official entities such as medical councils, Eurostat, OECD, WHO Euro Health For All Database, WHO EURO Technical resources for health Database; BMJ Glob Health.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.290 2013 | yearly | 2013 - 2013 |
View Chad's TD: Specialist Surgical Workforce: per 100,000 population from 2013 to 2013 in the chart:
TD: Suicide Mortality Rate: per 100,000 Population
TD: Suicide Mortality Rate: per 100,000 Population data was reported at 6.400 Ratio in 2019. This records a decrease from the previous number of 6.600 Ratio for 2018. TD: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 7.500 Ratio from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 7.800 Ratio in 2003 and a record low of 6.400 Ratio in 2019. TD: Suicide Mortality Rate: 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. 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;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 6.400 2019 | yearly | 2000 - 2019 |
View Chad's TD: Suicide Mortality Rate: per 100,000 Population from 2000 to 2019 in the chart:
TD: Survival To Age 65: Female: % of Cohort
TD: Survival To Age 65: Female: % of Cohort data was reported at 47.925 % in 2022. This records an increase from the previous number of 47.195 % for 2021. TD: Survival To Age 65: Female: % of Cohort data is updated yearly, averaging 41.385 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 49.657 % in 2019 and a record low of 31.936 % in 1960. TD: Survival To Age 65: Female: % of Cohort 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. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2022 Revision.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 47.925 2022 | yearly | 1960 - 2022 |
View Chad's TD: Survival To Age 65: Female: % of Cohort from 1960 to 2022 in the chart:
TD: Survival To Age 65: Male: % of Cohort
TD: Survival To Age 65: Male: % of Cohort data was reported at 40.462 % in 2022. This records an increase from the previous number of 39.794 % for 2021. TD: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 35.291 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 43.011 % in 2019 and a record low of 25.377 % in 1987. TD: Survival To Age 65: Male: % of Cohort 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. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2022 Revision.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 40.462 2022 | yearly | 1960 - 2022 |
View Chad's TD: Survival To Age 65: Male: % of Cohort from 1960 to 2022 in the chart:
TD: Teenage Mothers
TD: Teenage Mothers data was reported at 35.900 % in 2015. This records a decrease from the previous number of 36.600 % for 2004. TD: Teenage Mothers data is updated yearly, averaging 36.600 % from Dec 1997 (Median) to 2015, with 3 observations. The data reached an all-time high of 38.500 % in 1997 and a record low of 35.900 % in 2015. TD: Teenage Mothers 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. Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.900 2015 | yearly | 1997 - 2015 |
View Chad's TD: Teenage Mothers from 1997 to 2015 in the chart:
TD: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+
TD: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data was reported at 2.910 l/Person in 2020. This records a decrease from the previous number of 3.730 l/Person for 2019. TD: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data is updated yearly, averaging 3.620 l/Person from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 4.580 l/Person in 2015 and a record low of 2.510 l/Person in 2001. TD: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: 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. 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;This is the Sustainable Development Goal indicator 3.5.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 2.910 2020 | yearly | 2000 - 2020 |
View Chad's TD: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ from 2000 to 2020 in the chart:
TD: Tuberculosis Case Detection Rate: All Forms
TD: Tuberculosis Case Detection Rate: All Forms data was reported at 59.000 % in 2022. This records an increase from the previous number of 57.000 % for 2021. TD: Tuberculosis Case Detection Rate: All Forms data is updated yearly, averaging 55.000 % from Dec 2002 (Median) to 2022, with 20 observations. The data reached an all-time high of 60.000 % in 2019 and a record low of 33.000 % in 2003. TD: Tuberculosis Case Detection Rate: All Forms 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. Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization.
| Last | Frequency | Range |
|---|---|---|
| 59.000 2022 | yearly | 2002 - 2022 |
View Chad's TD: Tuberculosis Case Detection Rate: All Forms from 2002 to 2022 in the chart:
TD: Tuberculosis Treatment Success Rate: % of New Cases
TD: Tuberculosis Treatment Success Rate: % of New Cases data was reported at 82.000 % in 2021. This records an increase from the previous number of 81.000 % for 2020. TD: Tuberculosis Treatment Success Rate: % of New Cases data is updated yearly, averaging 74.000 % from Dec 2002 (Median) to 2021, with 17 observations. The data reached an all-time high of 82.000 % in 2021 and a record low of 54.000 % in 2010. TD: Tuberculosis Treatment Success Rate: % of New Cases 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. Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ('cured' and 'treatment completed' respectively).;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization.
| Last | Frequency | Range |
|---|---|---|
| 82.000 2021 | yearly | 2002 - 2021 |
View Chad's TD: Tuberculosis Treatment Success Rate: % of New Cases from 2002 to 2021 in the chart:
TD: Unmet Need for Contraception: % of Married Women Aged 15-49
TD: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 30.200 % in 2019. This records an increase from the previous number of 22.900 % for 2015. TD: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 22.900 % from Dec 1997 (Median) to 2019, with 5 observations. The data reached an all-time high of 30.200 % in 2019 and a record low of 17.400 % in 1997. TD: Unmet Need for Contraception: % of Married Women 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. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.
| Last | Frequency | Range |
|---|---|---|
| 30.200 2019 | yearly | 1997 - 2019 |
View Chad's TD: Unmet Need for Contraception: % of Married Women Aged 15-49 from 1997 to 2019 in the chart:
TD: Use of Insecticide-Treated Bed Nets: % of Under-5 Population
TD: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data was reported at 54.300 % in 2019. This records an increase from the previous number of 36.400 % for 2015. TD: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data is updated yearly, averaging 23.100 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 54.300 % in 2019 and a record low of 1.000 % in 2000. TD: Use of Insecticide-Treated Bed Nets: % of Under-5 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. Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 54.300 2019 | yearly | 2000 - 2019 |
View Chad's TD: Use of Insecticide-Treated Bed Nets: % of Under-5 Population from 2000 to 2019 in the chart:
TD: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months
TD: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data was reported at 93.000 % in 2022. This records an increase from the previous number of 0.000 % for 2021. TD: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data is updated yearly, averaging 70.000 % from Dec 2000 (Median) to 2022, with 19 observations. The data reached an all-time high of 96.000 % in 2014 and a record low of 0.000 % in 2021. TD: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months 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. Vitamin A supplementation coverage rate refers to the percentage of children ages 6-59 months old receiving two high-dose vitamin A supplements in a calendar year.;UNICEF global databases, based on administrative reports from countries (link: https://data.unicef.org/topic/nutrition/vitamin-a-deficiency/);Weighted average;Vitamin A is essential for optimal functioning of the immune system. Vitamin A deficiency, a leading cause of blindness, also causes a greater risk of dying from a range of childhood ailments such as measles, malaria, and diarrhea. In low- and middle-income countries, where vitamin A is consumed largely in fruits and vegetables, daily per capita intake is often insufficient to meet dietary requirements. Providing young children with two high-dose vitamin A capsules a year is a safe, cost-effective, efficient strategy for eliminating vitamin A deficiency and improving child survival. Giving vitamin A to new breastfeeding mothers helps protect their children during the first few months of life. Food fortification with vitamin A is being introduced in many developing countries.
| Last | Frequency | Range |
|---|---|---|
| 93.000 2022 | yearly | 2000 - 2022 |
View Chad's TD: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months from 2000 to 2022 in the chart:
TD: Wanted Fertility Rate: Births per Woman
TD: Wanted Fertility Rate: Births per Woman data was reported at 6.100 Ratio in 2015. This stayed constant from the previous number of 6.100 Ratio for 2004. TD: Wanted Fertility Rate: Births per Woman data is updated yearly, averaging 6.100 Ratio from Dec 1997 (Median) to 2015, with 3 observations. The data reached an all-time high of 6.100 Ratio in 2015 and a record low of 6.100 Ratio in 2015. TD: Wanted Fertility Rate: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.100 2015 | yearly | 1997 - 2015 |
View Chad's TD: Wanted Fertility Rate: Births per Woman from 1997 to 2015 in the chart:
TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49
TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 27.100 % in 2015. TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 27.100 % from Dec 2015 (Median) to 2015, with 1 observations. The data reached an all-time high of 27.100 % in 2015 and a record low of 27.100 % in 2015. TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % 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. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 27.100 2015 | yearly | 2015 - 2015 |
View Chad's TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 from 2015 to 2015 in the chart:
TD: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49
TD: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 17.400 % in 2015. TD: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data is updated yearly, averaging 17.400 % from Dec 2015 (Median) to 2015, with 1 observations. The data reached an all-time high of 17.400 % in 2015 and a record low of 17.400 % in 2015. TD: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).;Demographic and Health Surveys (DHS);;
| Last | Frequency | Range |
|---|---|---|
| 17.400 2015 | yearly | 2015 - 2015 |
View Chad's TD: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 from 2015 to 2015 in the chart:
TD: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
TD: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 73.500 % in 2015. TD: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 73.500 % from Dec 2015 (Median) to 2015, with 1 observations. The data reached an all-time high of 73.500 % in 2015 and a record low of 73.500 % in 2015. TD: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 73.500 2015 | yearly | 2015 - 2015 |