Singapore Social: Health Statistics
SG: Incidence of HIV: per 1,000 Uninfected Population
SG: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.010 Ratio in 2021. This records a decrease from the previous number of 0.020 Ratio for 2020. SG: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.100 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 0.150 Ratio in 2003 and a record low of 0.010 Ratio in 2021. SG: 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 Singapore – Table SG.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 |
|---|---|---|
| 0.010 2021 | yearly | 1990 - 2021 |
View Singapore's SG: Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2021 in the chart:
SG: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
SG: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.010 Ratio in 2021. This stayed constant from the previous number of 0.010 Ratio for 2020. SG: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.055 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 0.080 Ratio in 2005 and a record low of 0.010 Ratio in 2021. SG: 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 Singapore – Table SG.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 |
|---|---|---|
| 0.010 2021 | yearly | 1990 - 2021 |
View Singapore's SG: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2021 in the chart:
SG: Newly Infected with HIV: Adults: Aged 15-24
SG: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 100.000 Number in 2021. This stayed constant from the previous number of 100.000 Number for 2020. SG: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 100.000 Number in 2021 and a record low of 100.000 Number in 2021. SG: 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 Singapore – Table SG.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 |
|---|---|---|
| 100.000 2021 | yearly | 1990 - 2021 |
View Singapore's SG: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2021 in the chart:
SG: Newly Infected with HIV: Adults: Aged 15-49
SG: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 100.000 Number in 2021. This stayed constant from the previous number of 100.000 Number for 2020. SG: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 500.000 Number in 2016 and a record low of 100.000 Number in 2021. SG: 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 Singapore – Table SG.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 |
|---|---|---|
| 100.000 2021 | yearly | 1990 - 2021 |
View Singapore's SG: Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2021 in the chart:
SG: Prevalence of Current Tobacco Use: % of Adults
SG: Prevalence of Current Tobacco Use: % of Adults data was reported at 16.400 % in 2022. This records an increase from the previous number of 16.300 % for 2021. SG: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 16.600 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 16.900 % in 2000 and a record low of 16.300 % in 2021. SG: Prevalence of Current Tobacco Use: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, total (ages 15+) The previous indicator excluded smokeless tobacco use, while the current indicator includes. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 16.500 2020 | yearly | 2000 - 2020 |
View Singapore's SG: Prevalence of Current Tobacco Use: % of Adults from 2000 to 2020 in the chart:
SG: Prevalence of Current Tobacco Use: Females: % of Female Adults
SG: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 4.900 % in 2022. This stayed constant from the previous number of 4.900 % for 2021. SG: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 5.200 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 5.800 % in 2000 and a record low of 4.900 % in 2022. SG: Prevalence of Current Tobacco Use: Females: % of Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 5.000 2020 | yearly | 2000 - 2020 |
View Singapore's SG: Prevalence of Current Tobacco Use: Females: % of Female Adults from 2000 to 2020 in the chart:
SG: Prevalence of Current Tobacco Use: Males: % of Male Adults
SG: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 27.900 % in 2022. This records an increase from the previous number of 27.700 % for 2021. SG: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 28.000 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 28.100 % in 2005 and a record low of 27.700 % in 2021. SG: Prevalence of Current Tobacco Use: Males: % of Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, males (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 28.000 2020 | yearly | 2000 - 2020 |
View Singapore's SG: Prevalence of Current Tobacco Use: Males: % of Male Adults from 2000 to 2020 in the chart:
SG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population
SG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 7.700 % in 2022. This records an increase from the previous number of 6.600 % for 2021. SG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 4.550 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 7.700 % in 2022 and a record low of 2.800 % in 2015. SG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 6.600 2021 | yearly | 2015 - 2021 |
View Singapore's SG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population from 2015 to 2021 in the chart:
SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 3.800 % in 2024. This records an increase from the previous number of 3.700 % for 2023. SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.700 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 3.800 % in 2024 and a record low of 2.500 % in 2007. SG: 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 Singapore – Table SG.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 3.800 2022 | yearly | 2000 - 2022 |
View Singapore's SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
SG: Prevalence of Severe Food Insecurity in the Population: % of population
SG: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 2.500 % in 2022. This records an increase from the previous number of 1.700 % for 2021. SG: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 1.300 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 2.500 % in 2022 and a record low of 0.700 % in 2020. SG: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 1.700 2021 | yearly | 2015 - 2021 |
View Singapore's SG: Prevalence of Severe Food Insecurity in the Population: % of population from 2015 to 2021 in the chart:
SG: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
SG: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 2.800 % in 2024. This stayed constant from the previous number of 2.800 % for 2023. SG: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 3.200 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 4.400 % in 2000 and a record low of 2.700 % in 2021. SG: 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 Singapore – Table SG.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 |
|---|---|---|
| 3.000 2022 | yearly | 2000 - 2022 |