Sudan Social: Health Statistics
SD: Incidence of HIV: per 1,000 Uninfected Population
SD: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.090 Ratio in 2022. This stayed constant from the previous number of 0.090 Ratio for 2021. SD: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.090 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.110 Ratio in 2000 and a record low of 0.070 Ratio in 2015. SD: Incidence of HIV: per 1,000 Uninfected Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.090 2022 | yearly | 1990 - 2022 |
View Sudan's SD: Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2022 in the chart:
SD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
SD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.100 Ratio in 2022. This records an increase from the previous number of 0.090 Ratio for 2021. SD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.090 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.120 Ratio in 2001 and a record low of 0.070 Ratio in 2015. SD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.100 2022 | yearly | 1990 - 2022 |
View Sudan's SD: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2022 in the chart:
SD: Newly Infected with HIV: Adults: Aged 15-24
SD: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 1,000.000 Number in 2022. This stayed constant from the previous number of 1,000.000 Number for 2021. SD: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 1,000.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1,000.000 Number in 2022 and a record low of 500.000 Number in 1994. SD: Newly Infected with HIV: Adults: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Number of young people (ages 15-24) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,000.000 2022 | yearly | 1990 - 2022 |
View Sudan's SD: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2022 in the chart:
SD: Newly Infected with HIV: Adults: Aged 15-49
SD: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 3,200.000 Number in 2022. This records an increase from the previous number of 2,900.000 Number for 2021. SD: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 2,000.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 3,200.000 Number in 2022 and a record low of 1,100.000 Number in 1990. SD: Newly Infected with HIV: Adults: Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15-49) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 3,200.000 2022 | yearly | 1990 - 2022 |
View Sudan's SD: Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2022 in the chart:
SD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months
SD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data was reported at 50.800 % in 2019. This records a decrease from the previous number of 50.900 % for 2018. SD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data is updated yearly, averaging 53.150 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 61.500 % in 2000 and a record low of 50.800 % in 2019. SD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 50.800 2019 | yearly | 2000 - 2019 |
View Sudan's SD: Prevalence of Anemia among Children: % of Children Aged 6-59 Months from 2000 to 2019 in the chart:
SD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
SD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 2.600 % in 2024. This records an increase from the previous number of 2.400 % for 2023. SD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.600 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 3.200 % in 2006 and a record low of 2.100 % in 2020. SD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 2.700 2022 | yearly | 2000 - 2022 |
View Sudan's SD: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
SD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
SD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 35.400 % in 2024. This records an increase from the previous number of 34.900 % for 2023. SD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 35.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 38.300 % in 2000 and a record low of 34.200 % in 2021. SD: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 36.000 2022 | yearly | 2000 - 2022 |