Sudan Health Statistics
Sudan SD: ARI Treatment: % of Children Under 5 Taken to a Health Provider
SD: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 48.300 % in 2014. This records a decrease from the previous number of 55.800 % for 2010. SD: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 56.550 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 90.100 % in 2006 and a record low of 48.300 % in 2014. SD: 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 Sudan – Table SD.World Bank.WDI: 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 |
|---|---|---|
| 48.30 2014 | yearly | 2000 - 2014 |
View Sudan's Sudan SD: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 2000 to 2014 in the chart:
Sudan SD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
SD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 67.196 Ratio in 2016. This records a decrease from the previous number of 70.399 Ratio for 2015. SD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 114.227 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 151.607 Ratio in 1972 and a record low of 67.196 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 67.20 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Sudan SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.100 NA in 2016. This stayed constant from the previous number of 0.100 NA for 2010. SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.100 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.100 NA in 2016 and a record low of 0.100 NA in 2016. SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.100 2016 | yearly | 2010 - 2016 |
View Sudan's Sudan SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Sudan SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 0.900 NA in 2016. This stayed constant from the previous number of 0.900 NA for 2010. SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 0.900 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.900 NA in 2016 and a record low of 0.900 NA in 2016. SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.900 2016 | yearly | 2010 - 2016 |
View Sudan's Sudan SD: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Sudan SD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
SD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 7.000 % in 2017. This records an increase from the previous number of 5.000 % for 2016. SD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 5.000 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 7.000 % in 2017 and a record low of 3.000 % in 2011. SD: 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 Sudan – Table SD.World Bank.WDI: 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 |
|---|---|---|
| 4.00 2016 | yearly | 2010 - 2016 |
View Sudan's Sudan SD: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2010 to 2016 in the chart:
Sudan SD: Antiretroviral Therapy Coverage: % of People Living with HIV
SD: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 15.000 % in 2017. This records an increase from the previous number of 12.000 % for 2016. SD: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 4.500 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 15.000 % in 2017 and a record low of 0.000 % in 2007. SD: 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 Sudan – Table SD.World Bank.WDI: 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 |
|---|---|---|
| 10.00 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2016 in the chart:
Sudan SD: Births Attended by Skilled Health Staff: % of Total
SD: Births Attended by Skilled Health Staff: % of Total data was reported at 77.700 % in 2014. This records an increase from the previous number of 72.500 % for 2010. SD: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 70.500 % from Dec 1990 (Median) to 2014, with 4 observations. The data reached an all-time high of 77.700 % in 2014 and a record low of 28.800 % in 2006. SD: 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 Sudan – Table SD.World Bank.WDI: 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.
| Last | Frequency | Range |
|---|---|---|
| 77.70 2014 | yearly | 1990 - 2014 |
View Sudan's Sudan SD: Births Attended by Skilled Health Staff: % of Total from 1990 to 2014 in the chart:
Sudan SD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
SD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 35.200 % in 2016. This records a decrease from the previous number of 36.600 % for 2015. SD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 39.250 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 49.600 % in 2000 and a record low of 35.200 % in 2016. SD: 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 Sudan – Table SD.World Bank.WDI: 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 WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.20 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
Sudan SD: Cause of Death: by Injury: % of Total
SD: Cause of Death: by Injury: % of Total data was reported at 12.600 % in 2016. This records an increase from the previous number of 12.400 % for 2015. SD: Cause of Death: by Injury: % of Total data is updated yearly, averaging 12.250 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 12.600 % in 2016 and a record low of 11.700 % in 2010. SD: 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 Sudan – Table SD.World Bank.WDI: 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 WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 12.60 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Cause of Death: by Injury: % of Total from 2000 to 2016 in the chart:
Sudan SD: Cause of Death: by Non-Communicable Diseases: % of Total
SD: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 52.200 % in 2016. This records an increase from the previous number of 51.000 % for 2015. SD: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 48.700 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 52.200 % in 2016 and a record low of 38.400 % in 2000. SD: 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 Sudan – Table SD.World Bank.WDI: 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 WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 52.20 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
Sudan SD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
SD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 65.000 % in 2010. This records an increase from the previous number of 35.800 % for 2009. SD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 52.100 % from Dec 2000 (Median) to 2010, with 4 observations. The data reached an all-time high of 65.000 % in 2010 and a record low of 35.800 % in 2009. SD: 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 Sudan – Table SD.World Bank.WDI: 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 |
|---|---|---|
| 65.00 2010 | yearly | 2000 - 2010 |
View Sudan's Sudan SD: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever from 2000 to 2010 in the chart:
Sudan SD: Children: 0-14 Living with HIV
SD: Children: 0-14 Living with HIV data was reported at 3,000.000 Person in 2017. This records an increase from the previous number of 2,900.000 Person for 2016. SD: Children: 0-14 Living with HIV data is updated yearly, averaging 1,150.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 3,000.000 Person in 2017 and a record low of 100.000 Person in 1990. SD: 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 Sudan – Table SD.World Bank.WDI: 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 |
|---|---|---|
| 3,000.00 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Children: 0-14 Living with HIV from 1990 to 2016 in the chart:
Sudan SD: Consumption of Iodized Salt: % of Households
SD: Consumption of Iodized Salt: % of Households data was reported at 9.500 % in 2010. This records a decrease from the previous number of 11.000 % for 2006. SD: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 10.250 % from Dec 2006 (Median) to 2010, with 2 observations. The data reached an all-time high of 11.000 % in 2006 and a record low of 9.500 % in 2010. SD: 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 Sudan – Table SD.World Bank: Health Statistics. Consumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine.; ; United Nations Children's Fund, State of the World's Children.; 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 |
|---|---|---|
| 9.50 2010 | yearly | 2006 - 2010 |
View Sudan's Sudan SD: Consumption of Iodized Salt: % of Households from 2006 to 2010 in the chart:
Sudan SD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
SD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 12.200 % in 2014. This records an increase from the previous number of 9.000 % for 2010. SD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 9.000 % from Dec 1979 (Median) to 2014, with 7 observations. The data reached an all-time high of 12.200 % in 2014 and a record low of 4.600 % in 1979. SD: 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 Sudan – Table SD.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 12.20 2014 | yearly | 1979 - 2014 |
View Sudan's Sudan SD: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1979 to 2014 in the chart:
Sudan SD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
SD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 11.700 % in 2014. This records an increase from the previous number of 9.000 % for 2006. SD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 6.200 % from Dec 1979 (Median) to 2014, with 6 observations. The data reached an all-time high of 11.700 % in 2014 and a record low of 3.900 % in 1979. SD: 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 Sudan – Table SD.World Bank: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. 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 |
|---|---|---|
| 11.70 2014 | yearly | 1979 - 2014 |
View Sudan's Sudan SD: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1979 to 2014 in the chart:
Sudan SD: Current Health Expenditure Per Capita: Current PPP
SD: Current Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. SD: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2009 and a record low of 0.000 Intl $ mn in 2000. SD: Current Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Sudan SD: Current Health Expenditure Per Capita: Current Price
SD: Current Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SD: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2000. SD: Current Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Sudan SD: Current Health Expenditure: % of GDP
SD: Current Health Expenditure: % of GDP data was reported at 6.313 % in 2015. This records an increase from the previous number of 5.308 % for 2014. SD: Current Health Expenditure: % of GDP data is updated yearly, averaging 5.292 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 6.313 % in 2015 and a record low of 3.300 % in 2002. SD: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 6.31 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Sudan SD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
SD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 30.200 % in 2014. This records an increase from the previous number of 19.200 % for 1993. SD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 19.200 % from Dec 1990 (Median) to 2014, with 3 observations. The data reached an all-time high of 30.200 % in 2014 and a record low of 14.900 % in 1990. SD: 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 Sudan – Table SD.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 30.20 2014 | yearly | 1990 - 2014 |
View Sudan's Sudan SD: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1990 to 2014 in the chart:
Sudan SD: Depth of the Food Deficit: Kilocalories per Person per Day
SD: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 176.000 kcal in 2011. This records an increase from the previous number of 169.000 kcal for 2010. SD: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 189.000 kcal from Dec 1992 (Median) to 2011, with 20 observations. The data reached an all-time high of 283.000 kcal in 1992 and a record low of 168.000 kcal in 2009. SD: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 176.00 2011 | yearly | 1992 - 2011 |
View Sudan's Sudan SD: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2011 in the chart:
Sudan SD: Diabetes Prevalence: % of Population Aged 20-79
SD: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 15.670 % in 2017. SD: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 15.670 % from Dec 2017 (Median) to 2017, with 1 observations. SD: 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 Sudan – Table SD.World Bank.WDI: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.67 2017 | yearly | 2017 - 2017 |
View Sudan's Sudan SD: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Sudan SD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
SD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 59.300 % in 2014. This records an increase from the previous number of 11.800 % for 2010. SD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 38.100 % from Dec 1990 (Median) to 2014, with 5 observations. The data reached an all-time high of 59.300 % in 2014 and a record low of 11.800 % in 2010. SD: 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 Sudan – Table SD.World Bank: 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 |
|---|---|---|
| 59.30 2014 | yearly | 1990 - 2014 |
View Sudan's Sudan SD: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 1990 to 2014 in the chart:
Sudan SD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
SD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 19.600 % in 2014. This records a decrease from the previous number of 22.000 % for 2010. SD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 23.500 % from Dec 1986 (Median) to 2014, with 8 observations. The data reached an all-time high of 36.000 % in 1989 and a record low of 8.000 % in 1986. SD: 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 Sudan – Table SD.World Bank: 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 |
|---|---|---|
| 19.60 2014 | yearly | 1986 - 2014 |
View Sudan's Sudan SD: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1986 to 2014 in the chart:
Sudan SD: Domestic General Government Health Expenditure Per Capita: Current PPP
SD: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. SD: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2009 and a record low of 0.000 Intl $ mn in 2000. SD: Domestic General Government Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Sudan SD: Domestic General Government Health Expenditure Per Capita: Current Price
SD: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SD: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2000. SD: Domestic General Government Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in current US dollars.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Sudan SD: Domestic General Government Health Expenditure: % of Current Health Expenditure
SD: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 31.141 % in 2015. This records an increase from the previous number of 25.273 % for 2014. SD: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 32.940 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 41.116 % in 2009 and a record low of 16.773 % in 2013. SD: Domestic General Government Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 31.14 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Sudan SD: Domestic General Government Health Expenditure: % of GDP
SD: Domestic General Government Health Expenditure: % of GDP data was reported at 1.966 % in 2015. This records an increase from the previous number of 1.341 % for 2014. SD: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 1.505 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 2.382 % in 2009 and a record low of 1.055 % in 2013. SD: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 1.97 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Sudan SD: Domestic General Government Health Expenditure: % of General Government Expenditure
SD: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 18.089 % in 2015. This records an increase from the previous number of 11.542 % for 2014. SD: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 10.268 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 18.089 % in 2015 and a record low of 8.087 % in 2011. SD: Domestic General Government Health Expenditure: % of General Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 18.09 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Sudan SD: Domestic Private Health Expenditure Per Capita: Current PPP
SD: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. SD: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2013 and a record low of 0.000 Intl $ mn in 2000. SD: Domestic Private Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Sudan SD: Domestic Private Health Expenditure Per Capita: Current Price
SD: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SD: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2000. SD: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Sudan SD: Domestic Private Health Expenditure: % of Current Health Expenditure
SD: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 66.921 % in 2015. This records a decrease from the previous number of 71.033 % for 2014. SD: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 65.933 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 78.146 % in 2013 and a record low of 55.225 % in 2009. SD: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 66.92 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Sudan SD: Exclusive Breastfeeding: % of Children under 6 Months
SD: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 54.595 % in 2014. This records an increase from the previous number of 40.974 % for 2010. SD: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 37.487 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 54.595 % in 2014 and a record low of 15.600 % in 2000. SD: 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 Sudan – Table SD.World Bank: 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 |
|---|---|---|
| 54.60 2014 | yearly | 2000 - 2014 |
View Sudan's Sudan SD: Exclusive Breastfeeding: % of Children under 6 Months from 2000 to 2014 in the chart:
Sudan SD: External Health Expenditure Per Capita: Current PPP
SD: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. SD: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.000 Intl $ mn in 2011 and a record low of 0.000 Intl $ mn in 2003. SD: External Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2003 - 2015 |
View Sudan's Sudan SD: External Health Expenditure Per Capita: Current PPP from 2003 to 2015 in the chart:
Sudan SD: External Health Expenditure Per Capita: Current Price
SD: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. SD: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.000 USD mn in 2011 and a record low of 0.000 USD mn in 2003. SD: External Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2003 - 2015 |
View Sudan's Sudan SD: External Health Expenditure Per Capita: Current Price from 2003 to 2015 in the chart:
Sudan SD: External Health Expenditure: % of Current Health Expenditure
SD: External Health Expenditure: % of Current Health Expenditure data was reported at 1.938 % in 2015. This records a decrease from the previous number of 3.694 % for 2014. SD: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 3.018 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 8.136 % in 2011 and a record low of 1.401 % in 2004. SD: External Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 1.94 2015 | yearly | 2003 - 2015 |
View Sudan's Sudan SD: External Health Expenditure: % of Current Health Expenditure from 2003 to 2015 in the chart:
Sudan SD: Female Adults with HIV: % of Population Aged 15+ with HIV
SD: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 46.807 % in 2016. This records an increase from the previous number of 46.507 % for 2015. SD: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 46.507 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 53.507 % in 1991 and a record low of 44.618 % in 2007. SD: 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 Sudan – Table SD.World Bank: 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 |
|---|---|---|
| 46.81 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Sudan SD: Female Genital Mutilation Prevalence
SD: Female Genital Mutilation Prevalence data was reported at 86.600 % in 2014. This records a decrease from the previous number of 89.200 % for 1990. SD: Female Genital Mutilation Prevalence data is updated yearly, averaging 87.900 % from Dec 1990 (Median) to 2014, with 2 observations. The data reached an all-time high of 89.200 % in 1990 and a record low of 86.600 % in 2014. SD: Female Genital Mutilation Prevalence data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: 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 Childinfo (childinfo.org).; ;
| Last | Frequency | Range |
|---|---|---|
| 86.60 2014 | yearly | 1990 - 2014 |
View Sudan's Sudan SD: Female Genital Mutilation Prevalence from 1990 to 2014 in the chart:
Sudan SD: Fertility Rate: Total: Births per Woman
SD: Fertility Rate: Total: Births per Woman data was reported at 4.532 Ratio in 2016. This records a decrease from the previous number of 4.595 Ratio for 2015. SD: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 6.274 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.936 Ratio in 1975 and a record low of 4.532 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; 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 |
|---|---|---|
| 4.53 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Sudan SD: Hospital Beds: per 1000 People
SD: Hospital Beds: per 1000 People data was reported at 0.800 Number in 2012. This records an increase from the previous number of 0.700 Number for 2009. SD: Hospital Beds: per 1000 People data is updated yearly, averaging 0.800 Number from Dec 1960 (Median) to 2012, with 13 observations. The data reached an all-time high of 1.088 Number in 1990 and a record low of 0.700 Number in 2002. SD: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.80 2012 | yearly | 1960 - 2012 |
View Sudan's Sudan SD: Hospital Beds: per 1000 People from 1960 to 2012 in the chart:
Sudan SD: Immunization: DPT: % of Children Aged 12-23 Months
SD: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 93.000 % in 2016. This stayed constant from the previous number of 93.000 % for 2015. SD: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 60.000 % from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 94.000 % in 2014 and a record low of 1.000 % in 1981. SD: Immunization: DPT: % 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 Sudan – Table SD.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 93.00 2016 | yearly | 1980 - 2016 |
View Sudan's Sudan SD: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Sudan SD: Immunization: HepB3: % of One-Year-Old Children
SD: Immunization: HepB3: % of One-Year-Old Children data was reported at 93.000 % in 2016. This stayed constant from the previous number of 93.000 % for 2015. SD: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 85.000 % from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 94.000 % in 2014 and a record low of 22.000 % in 2005. SD: 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 Sudan – Table SD.World Bank: 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 |
|---|---|---|
| 93.00 2016 | yearly | 2005 - 2016 |
View Sudan's Sudan SD: Immunization: HepB3: % of One-Year-Old Children from 2005 to 2016 in the chart:
Sudan SD: Immunization: Measles: % of Children Aged 12-23 Months
SD: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 86.000 % in 2016. This records a decrease from the previous number of 87.000 % for 2015. SD: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 58.000 % from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 90.000 % in 2010 and a record low of 1.000 % in 1982. SD: 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 Sudan – Table SD.World Bank: 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 |
|---|---|---|
| 86.00 2016 | yearly | 1981 - 2016 |
View Sudan's Sudan SD: Immunization: Measles: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Sudan SD: Incidence of HIV: % of Uninfected Population Aged 15-49
SD: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.020 % in 2016. This stayed constant from the previous number of 0.020 % for 2015. SD: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.020 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.030 % in 2012 and a record low of 0.010 % in 1997. SD: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.02 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Sudan SD: Incidence of Malaria: per 1,000 Population at Risk
SD: Incidence of Malaria: per 1,000 Population at Risk data was reported at 36.600 Number in 2015. This records an increase from the previous number of 35.500 Number for 2010. SD: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 54.250 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 92.600 Number in 2000 and a record low of 35.500 Number in 2010. SD: 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 Sudan – Table SD.World Bank: 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, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 36.60 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Sudan SD: Incidence of Tuberculosis: per 100,000 People
SD: Incidence of Tuberculosis: per 100,000 People data was reported at 82.000 Ratio in 2016. This records a decrease from the previous number of 88.000 Ratio for 2015. SD: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 111.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 128.000 Ratio in 2000 and a record low of 82.000 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 82.00 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Sudan SD: Intentional Homicides: Female: per 100,000 Female
SD: Intentional Homicides: Female: per 100,000 Female data was reported at 2.379 Ratio in 2008. SD: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.379 Ratio from Dec 2008 (Median) to 2008, with 1 observations. SD: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 2.38 2008 | yearly | 2008 - 2008 |
View Sudan's Sudan SD: Intentional Homicides: Female: per 100,000 Female from 2008 to 2008 in the chart:
Sudan SD: Intentional Homicides: Male: per 100,000 Male
SD: Intentional Homicides: Male: per 100,000 Male data was reported at 7.953 Ratio in 2008. SD: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 7.953 Ratio from Dec 2008 (Median) to 2008, with 1 observations. SD: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 7.95 2008 | yearly | 2008 - 2008 |
View Sudan's Sudan SD: Intentional Homicides: Male: per 100,000 Male from 2008 to 2008 in the chart:
Sudan SD: Intentional Homicides: per 100,000 People
SD: Intentional Homicides: per 100,000 People data was reported at 6.500 Ratio in 2015. This records a decrease from the previous number of 6.800 Ratio for 2010. SD: Intentional Homicides: per 100,000 People data is updated yearly, averaging 6.800 Ratio from Dec 2005 (Median) to 2015, with 3 observations. The data reached an all-time high of 7.500 Ratio in 2005 and a record low of 6.500 Ratio in 2015. SD: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.50 2015 | yearly | 2005 - 2015 |
View Sudan's Sudan SD: Intentional Homicides: per 100,000 People from 2005 to 2015 in the chart:
Sudan SD: Life Expectancy at Birth: Female
SD: Life Expectancy at Birth: Female data was reported at 66.079 Year in 2016. This records an increase from the previous number of 65.829 Year for 2015. SD: Life Expectancy at Birth: Female data is updated yearly, averaging 56.675 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 66.079 Year in 2016 and a record low of 49.652 Year in 1960. SD: 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 Sudan – Table SD.World Bank.WDI: 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: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 66.08 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Sudan SD: Life Expectancy at Birth: Male
SD: Life Expectancy at Birth: Male data was reported at 62.912 Year in 2016. This records an increase from the previous number of 62.706 Year for 2015. SD: Life Expectancy at Birth: Male data is updated yearly, averaging 53.737 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 62.912 Year in 2016 and a record low of 46.793 Year in 1960. SD: 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 Sudan – Table SD.World Bank: 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: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 62.91 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Sudan SD: Life Expectancy at Birth: Total
SD: Life Expectancy at Birth: Total data was reported at 64.486 Year in 2016. This records an increase from the previous number of 64.257 Year for 2015. SD: Life Expectancy at Birth: Total data is updated yearly, averaging 55.182 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 64.486 Year in 2016 and a record low of 48.194 Year in 1960. SD: 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 Sudan – Table SD.World Bank: 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: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 64.49 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Sudan SD: Lifetime Risk Of Maternal Death
SD: Lifetime Risk Of Maternal Death data was reported at 1.389 % in 2015. This records a decrease from the previous number of 1.443 % for 2014. SD: Lifetime Risk Of Maternal Death data is updated yearly, averaging 2.704 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 4.551 % in 1990 and a record low of 1.389 % in 2015. SD: 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 Sudan – Table SD.World Bank: 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 the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.39 2015 | yearly | 1990 - 2015 |
View Sudan's Sudan SD: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Sudan SD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
SD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 72.000 NA in 2015. This records an increase from the previous number of 69.000 NA for 2014. SD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 37.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 72.000 NA in 2015 and a record low of 22.000 NA in 1990. SD: 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 Sudan – Table SD.World Bank.WDI: 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 the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 72.00 2015 | yearly | 1990 - 2015 |
View Sudan's Sudan SD: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Sudan SD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
SD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 311.000 Ratio in 2015. This records a decrease from the previous number of 318.000 Ratio for 2014. SD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 495.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 744.000 Ratio in 1990 and a record low of 311.000 Ratio in 2015. SD: 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 Sudan – Table SD.World Bank: 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.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 311.00 2015 | yearly | 1990 - 2015 |
View Sudan's Sudan SD: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Sudan SD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
SD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 220.000 Ratio in 2010. This records an increase from the previous number of 94.000 Ratio for 2006. SD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 220.000 Ratio from Dec 1989 (Median) to 2010, with 3 observations. The data reached an all-time high of 552.000 Ratio in 1989 and a record low of 94.000 Ratio in 2006. SD: 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 Sudan – Table SD.World Bank.WDI: 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.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; ;
| Last | Frequency | Range |
|---|---|---|
| 220.00 2010 | yearly | 1989 - 2010 |
View Sudan's Sudan SD: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1989 to 2010 in the chart:
Sudan SD: Mortality Caused by Road Traffic Injury: per 100,000 People
SD: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 24.600 Number in 2015. This records an increase from the previous number of 24.500 Number for 2010. SD: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 24.550 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 24.600 Number in 2015 and a record low of 24.400 Number in 2005. SD: 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 Sudan – Table SD.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 24.60 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Sudan SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 175.000 NA in 2016. SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 175.000 NA from Dec 2016 (Median) to 2016, with 1 observations. SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 175.000 2016 | yearly | 2016 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Sudan SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 196.000 NA in 2016. SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 196.000 NA from Dec 2016 (Median) to 2016, with 1 observations. SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 196.000 2016 | yearly | 2016 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Sudan SD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
SD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 184.900 Ratio in 2016. SD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 184.900 Ratio from Dec 2016 (Median) to 2016, with 1 observations. SD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 184.90 2016 | yearly | 2016 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Sudan SD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
SD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 2.900 Ratio in 2016. This records a decrease from the previous number of 3.000 Ratio for 2015. SD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 3.200 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.900 Ratio in 2000 and a record low of 2.900 Ratio in 2016. SD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.90 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Sudan SD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
SD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 5.000 Ratio in 2016. This records a decrease from the previous number of 5.200 Ratio for 2015. SD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 5.900 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 8.600 Ratio in 2000 and a record low of 5.000 Ratio in 2016. SD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.00 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Sudan SD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
SD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 3.900 Ratio in 2016. This records a decrease from the previous number of 4.100 Ratio for 2015. SD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 4.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 6.300 Ratio in 2000 and a record low of 3.900 Ratio in 2016. SD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.90 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Sudan SD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
SD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 17.300 Ratio in 2016. SD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 17.300 Ratio from Dec 2016 (Median) to 2016, with 1 observations. SD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.30 2016 | yearly | 2016 - 2016 |
View Sudan's Sudan SD: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Sudan SD: Mortality Rate: Adult: Female: per 1000 Female Adults
SD: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 191.953 Ratio in 2016. This records a decrease from the previous number of 194.430 Ratio for 2015. SD: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 275.019 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 338.729 Ratio in 1960 and a record low of 191.953 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 191.95 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Sudan SD: Mortality Rate: Adult: Male: per 1000 Male Adults
SD: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 249.341 Ratio in 2016. This records a decrease from the previous number of 251.674 Ratio for 2015. SD: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 326.617 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 392.681 Ratio in 1960 and a record low of 249.341 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 249.34 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Sudan SD: Mortality Rate: Infant: Female: per 1000 Live Births
SD: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 38.700 Ratio in 2017. This records a decrease from the previous number of 40.800 Ratio for 2015. SD: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 45.600 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 73.900 Ratio in 1990 and a record low of 38.700 Ratio in 2017. SD: Mortality Rate: Infant: 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 Sudan – Table SD.World Bank.WDI: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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.
| Last | Frequency | Range |
|---|---|---|
| 39.60 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Sudan SD: Mortality Rate: Infant: Male: per 1000 Live Births
SD: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 49.600 Ratio in 2016. This records a decrease from the previous number of 50.800 Ratio for 2015. SD: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 56.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 89.800 Ratio in 1990 and a record low of 49.600 Ratio in 2016. SD: Mortality Rate: Infant: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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.
| Last | Frequency | Range |
|---|---|---|
| 49.60 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Sudan SD: Mortality Rate: Infant: per 1000 Live Births
SD: Mortality Rate: Infant: per 1000 Live Births data was reported at 44.800 Ratio in 2016. This records a decrease from the previous number of 45.900 Ratio for 2015. SD: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 84.200 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 106.700 Ratio in 1960 and a record low of 44.800 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 44.80 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Sudan SD: Mortality Rate: Neonatal: per 1000 Live Births
SD: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 29.400 Ratio in 2016. This records a decrease from the previous number of 30.000 Ratio for 2015. SD: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 41.450 Ratio from Dec 1969 (Median) to 2016, with 48 observations. The data reached an all-time high of 46.400 Ratio in 1969 and a record low of 29.400 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 29.40 2016 | yearly | 1969 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Neonatal: per 1000 Live Births from 1969 to 2016 in the chart:
Sudan SD: Mortality Rate: Under-5: Female: per 1000 Live Births
SD: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 57.900 Ratio in 2017. This records a decrease from the previous number of 61.700 Ratio for 2015. SD: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 70.700 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 123.500 Ratio in 1990 and a record low of 57.900 Ratio in 2017. SD: 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 Sudan – Table SD.World Bank.WDI: 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.
| Last | Frequency | Range |
|---|---|---|
| 59.60 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Sudan SD: Mortality Rate: Under-5: Male: per 1000 Live Births
SD: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 68.300 Ratio in 2017. This records a decrease from the previous number of 72.400 Ratio for 2015. SD: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 82.500 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 139.200 Ratio in 1990 and a record low of 68.300 Ratio in 2017. SD: Mortality Rate: Under-5: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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.
| Last | Frequency | Range |
|---|---|---|
| 70.30 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Sudan SD: Mortality Rate: Under-5: per 1000 Live Births
SD: Mortality Rate: Under-5: per 1000 Live Births data was reported at 65.100 Ratio in 2016. This records a decrease from the previous number of 67.100 Ratio for 2015. SD: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 135.400 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 177.100 Ratio in 1960 and a record low of 65.100 Ratio in 2016. SD: 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 Sudan – Table SD.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 65.10 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Sudan SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 26.000 % in 2016. This stayed constant from the previous number of 26.000 % for 2015. SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 26.800 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 29.800 % in 2000 and a record low of 26.000 % in 2016. SD: 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 Sudan – Table SD.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 26.00 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Sudan SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 24.300 NA in 2016. This stayed constant from the previous number of 24.300 NA for 2015. SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 25.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 27.900 NA in 2000 and a record low of 24.300 NA in 2016. SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 24.300 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Sudan SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 27.800 NA in 2016. This records a decrease from the previous number of 27.900 NA for 2015. SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 28.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 31.800 NA in 2000 and a record low of 27.800 NA in 2016. SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 27.800 2016 | yearly | 2000 - 2016 |
View Sudan's Sudan SD: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Sudan SD: Newborns Protected Against Tetanus
SD: Newborns Protected Against Tetanus data was reported at 77.000 % in 2016. This stayed constant from the previous number of 77.000 % for 2015. SD: Newborns Protected Against Tetanus data is updated yearly, averaging 68.000 % from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 77.000 % in 2016 and a record low of 1.000 % in 1980. SD: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 77.00 2016 | yearly | 1980 - 2016 |
View Sudan's Sudan SD: Newborns Protected Against Tetanus from 1980 to 2016 in the chart:
Sudan SD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
SD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 5,000.000 Number in 2016. This stayed constant from the previous number of 5,000.000 Number for 2015. SD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 3,800.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 5,100.000 Number in 2013 and a record low of 1,000.000 Number in 1992. SD: 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 Sudan – Table SD.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 5,000.00 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2016 in the chart:
Sudan SD: Newly Infected with HIV: Adults: Aged 15+
SD: Newly Infected with HIV: Adults: Aged 15+ data was reported at 4,400.000 Number in 2016. This stayed constant from the previous number of 4,400.000 Number for 2015. SD: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 3,500.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 4,700.000 Number in 2010 and a record low of 500.000 Number in 1990. SD: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 4,400.00 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2016 in the chart:
Sudan SD: Newly Infected with HIV: Children: Aged 0-14
SD: Newly Infected with HIV: Children: Aged 0-14 data was reported at 1,000.000 Number in 2016. This stayed constant from the previous number of 1,000.000 Number for 2015. SD: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1,000.000 Number in 2016 and a record low of 100.000 Number in 1994. SD: 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 Sudan – Table SD.World Bank: Health Statistics. Number of children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,000.00 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2016 in the chart:
Sudan SD: Number of Death: Infant
SD: Number of Death: Infant data was reported at 57,009.000 Person in 2017. This records a decrease from the previous number of 57,730.000 Person for 2016. SD: Number of Death: Infant data is updated yearly, averaging 60,803.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 72,574.000 Person in 1997 and a record low of 36,298.000 Person in 1960. SD: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 57,698.00 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Number of Death: Infant from 1960 to 2016 in the chart:
Sudan SD: Number of Death: Neonatal
SD: Number of Death: Neonatal data was reported at 38,975.000 Person in 2017. This records a decrease from the previous number of 39,249.000 Person for 2016. SD: Number of Death: Neonatal data is updated yearly, averaging 38,494.000 Person from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 40,245.000 Person in 2000 and a record low of 22,354.000 Person in 1970. SD: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 38,351.00 2016 | yearly | 1970 - 2016 |
View Sudan's Sudan SD: Number of Death: Neonatal from 1970 to 2016 in the chart:
Sudan SD: Number of Death: Under-5
SD: Number of Death: Under-5 data was reported at 83,225.000 Person in 2016. This records a decrease from the previous number of 84,804.000 Person for 2015. SD: Number of Death: Under-5 data is updated yearly, averaging 93,071.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 112,344.000 Person in 1996 and a record low of 59,150.000 Person in 1960. SD: 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 Sudan – Table SD.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 83,225.00 2016 | yearly | 1960 - 2016 |
View Sudan's Sudan SD: Number of Death: Under-5 from 1960 to 2016 in the chart:
Sudan SD: Number of Deaths Ages 10-14 Years
SD: Number of Deaths Ages 10-14 Years data was reported at 2,818.000 Person in 2019. This records a decrease from the previous number of 2,835.000 Person for 2018. SD: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 3,206.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3,816.000 Person in 1993 and a record low of 2,818.000 Person in 2019. SD: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 2,818.000 2019 | yearly | 1990 - 2019 |
View Sudan's Sudan SD: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Sudan SD: Number of Deaths Ages 15-19 Years
SD: Number of Deaths Ages 15-19 Years data was reported at 10,255.000 Person in 2019. This records an increase from the previous number of 10,222.000 Person for 2018. SD: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 9,680.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 10,629.000 Person in 1998 and a record low of 9,067.000 Person in 1994. SD: Number of Deaths Ages 15-19 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 10,255.000 2019 | yearly | 1990 - 2019 |
View Sudan's Sudan SD: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Sudan SD: Number of Deaths Ages 20-24 Years
SD: Number of Deaths Ages 20-24 Years data was reported at 13,588.000 Person in 2019. This records an increase from the previous number of 13,451.000 Person for 2018. SD: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 12,198.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 13,993.000 Person in 2004 and a record low of 11,351.000 Person in 1994. SD: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 13,588.000 2019 | yearly | 1990 - 2019 |
View Sudan's Sudan SD: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Sudan SD: Number of Deaths Ages 5-14 Years
SD: Number of Deaths Ages 5-14 Years data was reported at 9,647.000 Person in 2016. This records a decrease from the previous number of 9,803.000 Person for 2015. SD: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 11,599.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 17,662.000 Person in 1990 and a record low of 9,647.000 Person in 2016. SD: Number of Deaths Ages 5-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 9,647.00 2016 | yearly | 1990 - 2016 |
View Sudan's Sudan SD: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Sudan SD: Number of Deaths Ages 5-9 Years
SD: Number of Deaths Ages 5-9 Years data was reported at 6,287.000 Person in 2019. This records a decrease from the previous number of 6,390.000 Person for 2018. SD: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 8,923.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 11,839.000 Person in 1991 and a record low of 6,287.000 Person in 2019. SD: Number of Deaths Ages 5-9 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 6,287.000 2019 | yearly | 1990 - 2019 |
View Sudan's Sudan SD: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Sudan SD: Number of Maternal Death
SD: Number of Maternal Death data was reported at 4,100.000 Person in 2015. This records a decrease from the previous number of 4,200.000 Person for 2014. SD: Number of Maternal Death data is updated yearly, averaging 5,750.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 6,500.000 Person in 1995 and a record low of 4,100.000 Person in 2015. SD: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: 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 the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;
| Last | Frequency | Range |
|---|---|---|
| 4,100.00 2015 | yearly | 1990 - 2015 |
View Sudan's Sudan SD: Number of Maternal Death from 1990 to 2015 in the chart:
Sudan SD: Nurses and Midwives: per 1000 People
SD: Nurses and Midwives: per 1000 People data was reported at 1.157 Ratio in 2014. This records an increase from the previous number of 0.840 Ratio for 2010. SD: Nurses and Midwives: per 1000 People data is updated yearly, averaging 0.988 Ratio from Dec 2004 (Median) to 2014, with 6 observations. The data reached an all-time high of 1.157 Ratio in 2014 and a record low of 0.840 Ratio in 2010. SD: 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 Sudan – Table SD.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 1.16 2014 | yearly | 2004 - 2014 |
View Sudan's Sudan SD: Nurses and Midwives: per 1000 People from 2004 to 2014 in the chart:
Sudan SD: Out-of-Pocket Health Expenditure Per Capita: Current Price
SD: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SD: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2000. SD: Out-of-Pocket Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Sudan SD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
SD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 63.226 % in 2015. This records a decrease from the previous number of 67.032 % for 2014. SD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 62.052 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 75.892 % in 2013 and a record low of 52.476 % in 2009. SD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 63.23 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Sudan SD: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
SD: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. SD: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2013 and a record low of 0.000 Intl $ mn in 2000. SD: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Sudan's Sudan SD: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Sudan SD: People Practicing Open Defecation: % of Population
SD: People Practicing Open Defecation: % of Population data was reported at 26.666 % in 2015. This records a decrease from the previous number of 28.889 % for 2014. SD: People Practicing Open Defecation: % of Population data is updated yearly, averaging 43.205 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 50.934 % in 2000 and a record low of 26.666 % in 2015. SD: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.67 2015 | yearly | 2000 - 2015 |